fix(openclaw): clear security scanner exfiltration warning (#4678)

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Saket Aryan <saketaryan2002@gmail.com>

.agents/plugins/marketplace.json

@@ -0,0 +1,20 @@
+{
+  "name": "mem0-plugins",
+  "interface": {
+    "displayName": "Mem0 Plugins"
+  },
+  "plugins": [
+    {
+      "name": "mem0",
+      "source": {
+        "source": "local",
+        "path": "./mem0-plugin"
+      },
+      "policy": {
+        "installation": "AVAILABLE",
+        "authentication": "ON_INSTALL"
+      },
+      "category": "Productivity"
+    }
+  ]
+}

.claude-plugin/marketplace.json

@@ -0,0 +1,18 @@
+{
+  "name": "mem0-plugins",
+  "owner": {
+    "name": "Mem0",
+    "email": "support@mem0.ai"
+  },
+  "metadata": {
+    "description": "Official Mem0 plugins for Claude"
+  },
+  "plugins": [
+    {
+      "name": "mem0",
+      "source": "./mem0-plugin",
+      "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search to Claude workflows.",
+      "version": "0.1.0"
+    }
+  ]
+}

.cursor-plugin/marketplace.json

@@ -0,0 +1,18 @@
+{
+  "name": "mem0-plugins",
+  "owner": {
+    "name": "Mem0",
+    "email": "support@mem0.ai"
+  },
+  "metadata": {
+    "description": "Official Mem0 plugins for Cursor"
+  },
+  "plugins": [
+    {
+      "name": "mem0",
+      "source": "./mem0-plugin",
+      "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search.",
+      "version": "0.1.0"
+    }
+  ]
+}

.github/workflows/cd.yml

@@ -7,6 +7,7 @@ on:
 jobs:
   build-n-publish:
     name: Build and publish Python 🐍 distributions 📦 to PyPI and TestPyPI
+    if: startsWith(github.event.release.tag_name, 'v')
     runs-on: ubuntu-latest
     permissions:
       id-token: write
@@ -38,7 +39,7 @@ jobs:
       #     packages_dir: dist/
 
       - name: Publish distribution 📦 to PyPI
-        if: startsWith(github.ref, 'refs/tags')
+        if: startsWith(github.ref, 'refs/tags/v')
         uses: pypa/gh-action-pypi-publish@release/v1
         with:
           packages_dir: dist/

.github/workflows/cli-node-cd.yml

@@ -0,0 +1,43 @@
+name: Publish @mem0/cli 📦 to npm
+
+on:
+  release:
+    types: [published]
+
+jobs:
+  build-n-publish:
+    name: Build and publish @mem0/cli 📦 to npm
+    if: startsWith(github.event.release.tag_name, 'cli-node-v')
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+    defaults:
+      run:
+        working-directory: cli/node
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '22'
+          registry-url: 'https://registry.npmjs.org'
+          cache: 'pnpm'
+          cache-dependency-path: cli/node/pnpm-lock.yaml
+
+      - name: Upgrade npm for OIDC trusted publishing
+        run: npm install -g npm@latest
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Build
+        run: pnpm run build
+
+      - name: Publish to npm
+        run: npm publish --provenance --access public

.github/workflows/cli-node-ci.yml

@@ -0,0 +1,100 @@
+name: CLI Node CI
+
+on:
+  workflow_dispatch:
+  push:
+    branches: [main]
+    paths:
+      - 'cli/node/**'
+      - '.github/workflows/cli-node-ci.yml'
+  pull_request:
+    paths:
+      - 'cli/node/**'
+      - '.github/workflows/cli-node-ci.yml'
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: 'pnpm'
+          cache-dependency-path: cli/node/pnpm-lock.yaml
+
+      - name: Install dependencies
+        working-directory: cli/node
+        run: pnpm install --frozen-lockfile
+
+      - name: Lint
+        working-directory: cli/node
+        run: pnpm run lint
+
+      - name: Type check
+        working-directory: cli/node
+        run: pnpm run typecheck
+
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        node-version: [20, 22]
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
+      - name: Setup Node.js ${{ matrix.node-version }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ matrix.node-version }}
+          cache: 'pnpm'
+          cache-dependency-path: cli/node/pnpm-lock.yaml
+
+      - name: Install dependencies
+        working-directory: cli/node
+        run: pnpm install --frozen-lockfile
+
+      - name: Run tests
+        working-directory: cli/node
+        run: pnpm run test
+
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: 'pnpm'
+          cache-dependency-path: cli/node/pnpm-lock.yaml
+
+      - name: Install dependencies
+        working-directory: cli/node
+        run: pnpm install --frozen-lockfile
+
+      - name: Build
+        working-directory: cli/node
+        run: pnpm run build
+
+      - name: Verify dist output
+        run: |
+          test -f cli/node/dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)

.github/workflows/cli-python-cd.yml

@@ -0,0 +1,34 @@
+name: Publish mem0-cli 🐍 distributions 📦 to PyPI
+
+on:
+  release:
+    types: [published]
+
+jobs:
+  build-n-publish:
+    name: Build and publish mem0-cli 📦 to PyPI
+    if: startsWith(github.event.release.tag_name, 'cli-v')
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+    defaults:
+      run:
+        working-directory: cli/python
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Install Hatch
+        run: pip install hatch
+
+      - name: Build a binary wheel and a source tarball
+        run: hatch build --clean
+
+      - name: Publish distribution 📦 to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          packages-dir: cli/python/dist/

.github/workflows/cli-python-ci.yml

@@ -0,0 +1,79 @@
+name: CLI Python CI
+
+on:
+  workflow_dispatch:
+  push:
+    branches: [main]
+    paths:
+      - 'cli/python/**'
+      - '.github/workflows/cli-python-ci.yml'
+  pull_request:
+    paths:
+      - 'cli/python/**'
+      - '.github/workflows/cli-python-ci.yml'
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install dev dependencies
+        working-directory: cli/python
+        run: pip install -e ".[dev]"
+
+      - name: Lint with ruff
+        working-directory: cli/python
+        run: ruff check .
+
+      - name: Check formatting
+        working-directory: cli/python
+        run: ruff format --check .
+
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.10", "3.11", "3.12"]
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install dev dependencies
+        working-directory: cli/python
+        run: pip install -e ".[dev]"
+
+      - name: Run tests
+        working-directory: cli/python
+        run: pytest
+
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install Hatch
+        run: pip install hatch
+
+      - name: Build
+        working-directory: cli/python
+        run: hatch build --clean
+
+      - name: Verify dist output
+        run: |
+          ls cli/python/dist/*.whl || (echo "Wheel file missing" && exit 1)
+          ls cli/python/dist/*.tar.gz || (echo "Source dist missing" && exit 1)

.github/workflows/openclaw-cd.yml

@@ -0,0 +1,43 @@
+name: Publish @mem0/openclaw-mem0 📦 to npm
+
+on:
+  release:
+    types: [published]
+
+jobs:
+  build-n-publish:
+    name: Build and publish @mem0/openclaw-mem0 📦 to npm
+    if: startsWith(github.event.release.tag_name, 'openclaw-v')
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+    defaults:
+      run:
+        working-directory: openclaw
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 9
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '22'
+          registry-url: 'https://registry.npmjs.org'
+          cache: 'pnpm'
+          cache-dependency-path: openclaw/pnpm-lock.yaml
+
+      - name: Upgrade npm for OIDC trusted publishing
+        run: npm install -g npm@latest
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Build
+        run: pnpm build
+
+      - name: Publish to npm
+        run: npm publish --provenance --access public

.github/workflows/ts-sdk-cd.yml

@@ -0,0 +1,43 @@
+name: Publish mem0ai 📦 to npm
+
+on:
+  release:
+    types: [published]
+
+jobs:
+  build-n-publish:
+    name: Build and publish mem0ai 📦 to npm
+    if: startsWith(github.event.release.tag_name, 'ts-v')
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+    defaults:
+      run:
+        working-directory: mem0-ts
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '22'
+          registry-url: 'https://registry.npmjs.org'
+          cache: 'pnpm'
+          cache-dependency-path: mem0-ts/pnpm-lock.yaml
+
+      - name: Upgrade npm for OIDC trusted publishing
+        run: npm install -g npm@latest
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Build
+        run: pnpm run build
+
+      - name: Publish to npm
+        run: npm publish --provenance --access public

.github/workflows/vercel-ai-cd.yml

@@ -0,0 +1,43 @@
+name: Publish @mem0/vercel-ai-provider 📦 to npm
+
+on:
+  release:
+    types: [published]
+
+jobs:
+  build-n-publish:
+    name: Build and publish @mem0/vercel-ai-provider 📦 to npm
+    if: startsWith(github.event.release.tag_name, 'vercel-ai-v')
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+    defaults:
+      run:
+        working-directory: vercel-ai-sdk
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '22'
+          registry-url: 'https://registry.npmjs.org'
+          cache: 'pnpm'
+          cache-dependency-path: vercel-ai-sdk/pnpm-lock.yaml
+
+      - name: Upgrade npm for OIDC trusted publishing
+        run: npm install -g npm@latest
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Build
+        run: pnpm run build
+
+      - name: Publish to npm
+        run: npm publish --provenance --access public

CONTRIBUTING.md

@@ -61,3 +61,31 @@ make test  # After activating a shell with hatch shell test_XX
 Make sure that all tests pass across all supported Python versions before submitting a pull request.
 
 We look forward to your pull requests and can't wait to see your contributions!
+
+### 🚀 Releasing
+
+All packages are published automatically via GitHub Actions when a GitHub Release is created with the correct tag prefix.
+
+#### Tag Prefixes
+
+| Package | Registry | Tag Prefix | Example |
+|---------|----------|------------|---------|
+| `mem0ai` (Python SDK) | PyPI | `v*` | `v0.1.31` |
+| `mem0-cli` (Python CLI) | PyPI | `cli-v*` | `cli-v0.2.1` |
+| `mem0ai` (TypeScript SDK) | npm | `ts-v*` | `ts-v2.4.6` |
+| `@mem0/cli` (Node CLI) | npm | `cli-node-v*` | `cli-node-v0.1.2` |
+| `@mem0/vercel-ai-provider` | npm | `vercel-ai-v*` | `vercel-ai-v2.0.6` |
+| `@mem0/openclaw-mem0` | npm | `openclaw-v*` | `openclaw-v1.0.1` |
+
+#### How to Release
+
+1. Bump the version in `pyproject.toml` (Python) or `package.json` (Node)
+2. Create a [GitHub Release](https://github.com/mem0ai/mem0/releases/new) with the matching tag prefix
+3. The correct workflow will trigger automatically — verify in the [Actions tab](https://github.com/mem0ai/mem0/actions)
+
+#### Publishing Details
+
+- **PyPI packages** use OIDC trusted publishing via `pypa/gh-action-pypi-publish`
+- **npm packages** use OIDC trusted publishing via npm CLI (>= 11.5.1) — no tokens or secrets required
+- All workflows require `permissions: id-token: write` for OIDC authentication
+- First publish of a new npm package must be done manually; OIDC works for subsequent versions

README.md

@@ -93,6 +93,20 @@ Install sdk via npm:
 npm install mem0ai
 ```
 
+### CLI
+
+Manage memories from your terminal:
+
+```bash
+npm install -g @mem0/cli   # or: pip install mem0-cli
+
+mem0 init
+mem0 add "Prefers dark mode and vim keybindings" --user-id alice
+mem0 search "What does Alice prefer?" --user-id alice
+```
+
+See the [CLI documentation](https://docs.mem0.ai/platform/cli) for the full command reference.
+
 ### Basic Usage
 
 Mem0 requires an LLM to function, with `gpt-4.1-nano-2025-04-14 from OpenAI as the default. However, it supports a variety of LLMs; for details, refer to our [Supported LLMs documentation](https://docs.mem0.ai/components/llms/overview).
@@ -148,7 +162,7 @@ For detailed integration steps, see the [Quickstart](https://docs.mem0.ai/quicks
 ## 📚 Documentation & Support
 
 - Full docs: https://docs.mem0.ai
-- Community: [Discord](https://mem0.dev/DiG) · [Twitter](https://x.com/mem0ai)
+- Community: [Discord](https://mem0.dev/DiG) · [X (formerly Twitter)](https://x.com/mem0ai)
 - Contact: founders@mem0.ai
 
 ## Citation
@@ -166,4 +180,4 @@ We now have a paper you can cite:
 
 ## ⚖️ License
 
-Apache 2.0 — see the [LICENSE](https://github.com/mem0ai/mem0/blob/main/LICENSE) file for details.
+Apache 2.0 — see the [LICENSE](https://github.com/mem0ai/mem0/blob/main/LICENSE) file for details.

cli/README.md

@@ -0,0 +1,136 @@
+# mem0 CLI
+
+The official command-line interface for [mem0](https://mem0.ai) — the memory layer for AI agents. Works with the Mem0 Platform API. Available in Python and Node.js.
+
+> **For AI agents:** pass `--agent` (or `--json`) on any command for structured JSON output purpose-built for tool loops — sanitized fields, no colors or spinners, errors as JSON. See [Agent mode](#agent-mode) below.
+
+## Installation
+
+```bash
+npm install -g @mem0/cli
+```
+
+```bash
+pip install mem0-cli
+```
+
+Both packages install a `mem0` binary with identical behavior.
+
+## Quick start
+
+```bash
+# Interactive setup wizard
+mem0 init
+
+# Or login via email (get a new API key)
+mem0 init --email alice@company.com
+
+# Or authenticate with an existing API key
+mem0 init --api-key m0-xxx
+
+# Add a memory
+mem0 add "I prefer dark mode and use vim keybindings" --user-id alice
+
+# Search memories
+mem0 search "What are Alice's preferences?" --user-id alice
+
+# List all memories for a user
+mem0 list --user-id alice
+
+# Update a memory
+mem0 update <memory-id> "I switched to light mode"
+
+# Delete a memory
+mem0 delete <memory-id>
+```
+
+## Commands
+
+| Command | Description |
+|---------|-------------|
+| `mem0 init` | Setup wizard — login via email or configure API key manually |
+| `mem0 add` | Add a memory from text, JSON messages, a file, or stdin |
+| `mem0 search` | Search memories using natural language |
+| `mem0 list` | List memories with optional filters and pagination |
+| `mem0 get` | Retrieve a specific memory by ID |
+| `mem0 update` | Update the text or metadata of a memory |
+| `mem0 delete` | Delete a memory, all memories for a scope, or an entity |
+| `mem0 import` | Bulk import memories from a JSON file |
+| `mem0 config` | View or modify CLI configuration |
+| `mem0 entity` | List or delete entities (users, agents, apps, runs) |
+| `mem0 event` | Inspect background processing events (bulk deletes, large add jobs) |
+| `mem0 status` | Verify API connection and display current project |
+| `mem0 version` | Print the CLI version |
+
+Run `mem0 <command> --help` for detailed usage on any command.
+
+## Agent mode
+
+Pass `--agent` (or its alias `--json`) as a **global flag** on any command to get output designed for AI agent tool loops:
+
+```bash
+mem0 --agent search "user preferences" --user-id alice
+mem0 --agent add "User prefers dark mode" --user-id alice
+mem0 --agent list --user-id alice
+```
+
+Every command returns the same envelope shape:
+
+```json
+{
+  "status": "success",
+  "command": "search",
+  "duration_ms": 134,
+  "scope": { "user_id": "alice" },
+  "count": 2,
+  "data": [
+    { "id": "abc-123", "memory": "User prefers dark mode", "score": 0.97, "created_at": "2026-01-15", "categories": ["preferences"] }
+  ]
+}
+```
+
+What agent mode does differently from `--output json`:
+- **Sanitized `data`**: only the fields an agent needs (id, memory, score, etc.) — no internal API noise
+- **No human output**: spinners, colors, and banners are suppressed entirely
+- **Errors as JSON**: errors go to stdout as `{"status": "error", "command": "...", "error": "..."}` with a non-zero exit code
+
+Use `mem0 help --json` to get the full command tree as JSON — useful for agents that need to self-discover available commands.
+
+## Output formats
+
+Control how results are displayed with `--output`:
+
+| Format | Description |
+|--------|-------------|
+| `text` | Human-readable with colors and formatting (default) |
+| `json` | Structured JSON for piping to `jq` (raw API response) |
+| `table` | Tabular format (default for `list`) |
+| `quiet` | Minimal — just IDs or status codes |
+| `agent` | Structured JSON envelope with sanitized fields (set by `--agent`/`--json`) |
+
+## Environment variables
+
+| Variable | Description |
+|----------|-------------|
+| `MEM0_API_KEY` | API key (overrides config file) |
+| `MEM0_BASE_URL` | API base URL |
+| `MEM0_USER_ID` | Default user ID |
+| `MEM0_AGENT_ID` | Default agent ID |
+| `MEM0_APP_ID` | Default app ID |
+| `MEM0_RUN_ID` | Default run ID |
+| `MEM0_ENABLE_GRAPH` | Enable graph memory (`true` / `false`) |
+
+## Implementations
+
+| Language | Directory | Package | Docs |
+|----------|-----------|---------|------|
+| TypeScript | [`node/`](./node/) | `@mem0/cli` | [README](./node/README.md) |
+| Python | [`python/`](./python/) | `mem0-cli` | [README](./python/README.md) |
+
+## Documentation
+
+Full documentation is available at [docs.mem0.ai/platform/cli](https://docs.mem0.ai/platform/cli).
+
+## License
+
+Apache-2.0

cli/cli-spec.json

@@ -0,0 +1,549 @@
+{
+  "specVersion": 1,
+  "cli": {
+    "name": "mem0",
+    "version": "0.1.0",
+    "description": "The Memory Layer for AI Agents",
+    "helpText": "\u25c6 mem0 CLI \u2014 The Memory Layer for AI Agents"
+  },
+  "branding": {
+    "logoMini": "\u25c6 mem0",
+    "tagline": "The Memory Layer for AI Agents",
+    "colors": {
+      "brand": "#8b5cf6",
+      "accent": "#a78bfa",
+      "success": "#22c55e",
+      "error": "#ef4444",
+      "warning": "#f59e0b",
+      "dim": "#6b7280"
+    },
+    "icons": {
+      "success": "\u2713",
+      "error": "\u2717",
+      "warning": "\u26a0",
+      "info": "\u25c6",
+      "pending": "\u29d7",
+      "add": "+",
+      "update": "~",
+      "delete": "-",
+      "noop": "\u00b7",
+      "connected": "\u25cf",
+      "disconnected": "\u25cf"
+    },
+    "logo": "███\u2557   ███\u2557███████\u2557███\u2557   ███\u2557 ██████\u2557      ██████\u2557██\u2557     ██\u2557\n████\u2557 ████\u2551██\u2554\u2550\u2550\u2550\u2550\u255d████\u2557 ████\u2551██\u2554\u2550████\u2557    ██\u2554\u2550\u2550\u2550\u2550\u255d██\u2551     ██\u2551\n██\u2554████\u2554██\u2551█████\u2557  ██\u2554████\u2554██\u2551██\u2551██\u2554██\u2551    ██\u2551     ██\u2551     ██\u2551\n██\u2551\u255a██\u2554\u255d██\u2551██\u2554\u2550\u2550\u255d  ██\u2551\u255a██\u2554\u255d██\u2551████\u2554\u255d██\u2551    ██\u2551     ██\u2551     ██\u2551\n██\u2551 \u255a\u2550\u255d ██\u2551███████\u2557██\u2551 \u255a\u2550\u255d ██\u2551\u255a██████\u2554\u255d    \u255a██████\u2557███████\u2557██\u2551\n\u255a\u2550\u255d     \u255a\u2550\u255d\u255a\u2550\u2550\u2550\u2550\u2550\u2550\u255d\u255a\u2550\u255d     \u255a\u2550\u255d \u255a\u2550\u2550\u2550\u2550\u2550\u255d      \u255a\u2550\u2550\u2550\u2550\u2550\u255d\u255a\u2550\u2550\u2550\u2550\u2550\u2550\u255d\u255a\u2550\u255d"
+  },
+  "config": {
+    "configDir": "~/.mem0",
+    "configFile": "config.json",
+    "version": 1,
+    "defaultBaseUrl": "https://api.mem0.ai",
+    "sections": {
+      "platform": {
+        "fields": {
+          "api_key": {
+            "type": "string",
+            "default": "",
+            "envVar": "MEM0_API_KEY",
+            "redact": true
+          },
+          "base_url": {
+            "type": "string",
+            "default": "https://api.mem0.ai",
+            "envVar": "MEM0_BASE_URL"
+          }
+        }
+      },
+      "defaults": {
+        "fields": {
+          "user_id": {
+            "type": "string",
+            "default": "",
+            "envVar": "MEM0_USER_ID"
+          },
+          "agent_id": {
+            "type": "string",
+            "default": "",
+            "envVar": "MEM0_AGENT_ID"
+          },
+          "app_id": {
+            "type": "string",
+            "default": "",
+            "envVar": "MEM0_APP_ID"
+          },
+          "run_id": {
+            "type": "string",
+            "default": "",
+            "envVar": "MEM0_RUN_ID"
+          },
+          "enable_graph": {
+            "type": "boolean",
+            "default": false,
+            "envVar": "MEM0_ENABLE_GRAPH"
+          }
+        }
+      }
+    }
+  },
+  "api": {
+    "endpoints": {
+      "add": { "method": "POST", "path": "/v1/memories/" },
+      "search": { "method": "POST", "path": "/v2/memories/search/" },
+      "get": { "method": "GET", "path": "/v1/memories/{memory_id}/" },
+      "list": { "method": "POST", "path": "/v2/memories/" },
+      "update": { "method": "PUT", "path": "/v1/memories/{memory_id}/" },
+      "delete": { "method": "DELETE", "path": "/v1/memories/{memory_id}/" },
+      "deleteAll": { "method": "DELETE", "path": "/v1/memories/" },
+      "entities": { "method": "GET", "path": "/v1/entities/" },
+      "deleteEntities": { "method": "DELETE", "path": "/v1/entities/" }
+    },
+    "authHeader": "Authorization",
+    "authScheme": "Token",
+    "timeout": 30,
+    "entityTypeMap": {
+      "users": "user",
+      "agents": "agent",
+      "apps": "app",
+      "runs": "run"
+    }
+  },
+  "errors": {
+    "AuthError": {
+      "httpStatus": 401,
+      "message": "Authentication failed. Your API key may be invalid or expired."
+    },
+    "NotFoundError": {
+      "httpStatus": 404,
+      "messageTemplate": "Resource not found: {path}"
+    },
+    "APIError": {
+      "httpStatus": 400,
+      "messageTemplate": "Bad request to {path}: {detail}"
+    },
+    "noApiKey": {
+      "message": "No API key configured.",
+      "hint": "Run 'mem0 init' or set MEM0_API_KEY environment variable."
+    }
+  },
+  "optionGroups": {
+    "scope": {
+      "label": "Scope",
+      "options": ["user_id", "agent_id", "app_id", "run_id"]
+    },
+    "search": {
+      "label": "Search",
+      "options": ["top_k", "threshold", "rerank", "keyword", "filter_json", "fields", "graph", "no_graph"]
+    },
+    "pagination": {
+      "label": "Pagination",
+      "options": ["page", "page_size"]
+    },
+    "filters": {
+      "label": "Filters",
+      "options": ["category", "after", "before", "graph", "no_graph"]
+    },
+    "output": {
+      "label": "Output",
+      "options": ["output"]
+    },
+    "connection": {
+      "label": "Connection",
+      "options": ["api_key", "base_url"]
+    }
+  },
+  "globalOptions": [
+    {
+      "name": "api_key",
+      "flags": ["--api-key"],
+      "type": "string",
+      "required": false,
+      "envVar": "MEM0_API_KEY",
+      "help": "Override API key.",
+      "panel": "Connection"
+    },
+    {
+      "name": "base_url",
+      "flags": ["--base-url"],
+      "type": "string",
+      "required": false,
+      "help": "Override API base URL.",
+      "panel": "Connection"
+    },
+    {
+      "name": "version",
+      "flags": ["--version"],
+      "type": "boolean",
+      "required": false,
+      "help": "Show version and exit."
+    }
+  ],
+  "commands": [
+    {
+      "name": "add",
+      "description": "Add a memory from text, messages, file, or stdin.",
+      "usage": "mem0 add <text> [OPTIONS]",
+      "needsBackend": true,
+      "needsConfig": true,
+      "resolveIds": true,
+      "resolveGraph": true,
+      "confirmDangerous": false,
+      "outputFormats": ["text", "json", "quiet"],
+      "defaultOutput": "text",
+      "arguments": [
+        {
+          "name": "text",
+          "type": "string",
+          "required": false,
+          "help": "Text content to add as a memory."
+        }
+      ],
+      "options": [
+        { "name": "user_id", "flags": ["--user-id", "-u"], "type": "string", "help": "Scope to user.", "panel": "Scope" },
+        { "name": "agent_id", "flags": ["--agent-id"], "type": "string", "help": "Scope to agent.", "panel": "Scope" },
+        { "name": "app_id", "flags": ["--app-id"], "type": "string", "help": "Scope to app.", "panel": "Scope" },
+        { "name": "run_id", "flags": ["--run-id"], "type": "string", "help": "Scope to run.", "panel": "Scope" },
+        { "name": "messages", "flags": ["--messages"], "type": "string", "help": "Conversation messages as JSON." },
+        { "name": "file", "flags": ["--file", "-f"], "type": "path", "help": "Read messages from JSON file." },
+        { "name": "metadata", "flags": ["--metadata", "-m"], "type": "string", "help": "Custom metadata as JSON." },
+        { "name": "immutable", "flags": ["--immutable"], "type": "boolean", "default": false, "help": "Prevent future updates." },
+        { "name": "no_infer", "flags": ["--no-infer"], "type": "boolean", "default": false, "help": "Skip inference, store raw." },
+        { "name": "expires", "flags": ["--expires"], "type": "string", "help": "Expiration date (YYYY-MM-DD)." },
+        { "name": "categories", "flags": ["--categories"], "type": "string", "help": "Categories (JSON array or comma-separated)." },
+        { "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph memory extraction.", "panel": "Scope" },
+        { "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph memory extraction.", "panel": "Scope" },
+        { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output format: text, json, quiet.", "panel": "Output" }
+      ],
+      "apiEndpoint": "add"
+    },
+    {
+      "name": "search",
+      "description": "Search memories by semantic query.",
+      "usage": "mem0 search <query> [OPTIONS]",
+      "needsBackend": true,
+      "needsConfig": true,
+      "resolveIds": true,
+      "resolveGraph": true,
+      "confirmDangerous": false,
+      "outputFormats": ["text", "json", "table"],
+      "defaultOutput": "text",
+      "arguments": [
+        {
+          "name": "query",
+          "type": "string",
+          "required": true,
+          "help": "Search query."
+        }
+      ],
+      "options": [
+        { "name": "user_id", "flags": ["--user-id", "-u"], "type": "string", "help": "Filter by user.", "panel": "Scope" },
+        { "name": "agent_id", "flags": ["--agent-id"], "type": "string", "help": "Filter by agent.", "panel": "Scope" },
+        { "name": "app_id", "flags": ["--app-id"], "type": "string", "help": "Filter by app.", "panel": "Scope" },
+        { "name": "run_id", "flags": ["--run-id"], "type": "string", "help": "Filter by run.", "panel": "Scope" },
+        { "name": "top_k", "flags": ["--top-k", "-k", "--limit"], "type": "integer", "default": 10, "help": "Number of results.", "panel": "Search" },
+        { "name": "threshold", "flags": ["--threshold"], "type": "float", "default": 0.3, "help": "Minimum similarity score.", "panel": "Search" },
+        { "name": "rerank", "flags": ["--rerank"], "type": "boolean", "default": false, "help": "Enable reranking (Platform only).", "panel": "Search" },
+        { "name": "keyword", "flags": ["--keyword"], "type": "boolean", "default": false, "help": "Use keyword search.", "panel": "Search" },
+        { "name": "filter_json", "flags": ["--filter"], "type": "string", "help": "Advanced filter expression (JSON).", "panel": "Search" },
+        { "name": "fields", "flags": ["--fields"], "type": "string", "help": "Specific fields to return (comma-separated).", "panel": "Search" },
+        { "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph in search.", "panel": "Search" },
+        { "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph in search.", "panel": "Search" },
+        { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json, table.", "panel": "Output" }
+      ],
+      "apiEndpoint": "search"
+    },
+    {
+      "name": "get",
+      "description": "Get a specific memory by ID.",
+      "usage": "mem0 get <memory_id> [OPTIONS]",
+      "needsBackend": true,
+      "needsConfig": false,
+      "resolveIds": false,
+      "resolveGraph": false,
+      "confirmDangerous": false,
+      "outputFormats": ["text", "json"],
+      "defaultOutput": "text",
+      "arguments": [
+        {
+          "name": "memory_id",
+          "type": "string",
+          "required": true,
+          "help": "Memory ID to retrieve."
+        }
+      ],
+      "options": [
+        { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json.", "panel": "Output" }
+      ],
+      "apiEndpoint": "get"
+    },
+    {
+      "name": "list",
+      "description": "List memories with optional filters.",
+      "usage": "mem0 list [OPTIONS]",
+      "needsBackend": true,
+      "needsConfig": true,
+      "resolveIds": true,
+      "resolveGraph": true,
+      "confirmDangerous": false,
+      "outputFormats": ["text", "json", "table"],
+      "defaultOutput": "table",
+      "arguments": [],
+      "options": [
+        { "name": "user_id", "flags": ["--user-id", "-u"], "type": "string", "help": "Filter by user.", "panel": "Scope" },
+        { "name": "agent_id", "flags": ["--agent-id"], "type": "string", "help": "Filter by agent.", "panel": "Scope" },
+        { "name": "app_id", "flags": ["--app-id"], "type": "string", "help": "Filter by app.", "panel": "Scope" },
+        { "name": "run_id", "flags": ["--run-id"], "type": "string", "help": "Filter by run.", "panel": "Scope" },
+        { "name": "page", "flags": ["--page"], "type": "integer", "default": 1, "help": "Page number.", "panel": "Pagination" },
+        { "name": "page_size", "flags": ["--page-size"], "type": "integer", "default": 100, "help": "Results per page.", "panel": "Pagination" },
+        { "name": "category", "flags": ["--category"], "type": "string", "help": "Filter by category.", "panel": "Filters" },
+        { "name": "after", "flags": ["--after"], "type": "string", "help": "Created after (YYYY-MM-DD).", "panel": "Filters" },
+        { "name": "before", "flags": ["--before"], "type": "string", "help": "Created before (YYYY-MM-DD).", "panel": "Filters" },
+        { "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph in listing.", "panel": "Filters" },
+        { "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph in listing.", "panel": "Filters" },
+        { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "table", "help": "Output: text, json, table.", "panel": "Output" }
+      ],
+      "apiEndpoint": "list"
+    },
+    {
+      "name": "update",
+      "description": "Update a memory's text or metadata.",
+      "usage": "mem0 update <memory_id> [text] [OPTIONS]",
+      "needsBackend": true,
+      "needsConfig": false,
+      "resolveIds": false,
+      "resolveGraph": false,
+      "confirmDangerous": false,
+      "outputFormats": ["text", "json", "quiet"],
+      "defaultOutput": "text",
+      "arguments": [
+        {
+          "name": "memory_id",
+          "type": "string",
+          "required": true,
+          "help": "Memory ID to update."
+        },
+        {
+          "name": "text",
+          "type": "string",
+          "required": false,
+          "help": "New memory text."
+        }
+      ],
+      "options": [
+        { "name": "metadata", "flags": ["--metadata", "-m"], "type": "string", "help": "Update metadata (JSON)." },
+        { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json, quiet.", "panel": "Output" }
+      ],
+      "apiEndpoint": "update"
+    },
+    {
+      "name": "delete",
+      "description": "Delete a memory, all memories matching a scope, or an entity.",
+      "usage": "mem0 delete [memory_id] [OPTIONS]",
+      "needsBackend": true,
+      "needsConfig": true,
+      "resolveIds": true,
+      "resolveGraph": false,
+      "confirmDangerous": true,
+      "outputFormats": ["text", "json", "quiet"],
+      "defaultOutput": "text",
+      "arguments": [
+        {
+          "name": "memory_id",
+          "type": "string",
+          "required": false,
+          "help": "Memory ID to delete (omit when using --all or --entity)."
+        }
+      ],
+      "options": [
+        { "name": "all", "flags": ["--all"], "type": "boolean", "default": false, "help": "Delete all memories matching scope filters." },
+        { "name": "entity", "flags": ["--entity"], "type": "boolean", "default": false, "help": "Delete the entity itself and all its memories (cascade)." },
+        { "name": "project", "flags": ["--project"], "type": "boolean", "default": false, "help": "With --all: delete ALL memories project-wide." },
+        { "name": "dry_run", "flags": ["--dry-run"], "type": "boolean", "default": false, "help": "Show what would be deleted without deleting." },
+        { "name": "force", "flags": ["--force"], "type": "boolean", "default": false, "help": "Skip confirmation." },
+        { "name": "user_id", "flags": ["--user-id", "-u"], "type": "string", "help": "Scope to user.", "panel": "Scope" },
+        { "name": "agent_id", "flags": ["--agent-id"], "type": "string", "help": "Scope to agent.", "panel": "Scope" },
+        { "name": "app_id", "flags": ["--app-id"], "type": "string", "help": "Scope to app.", "panel": "Scope" },
+        { "name": "run_id", "flags": ["--run-id"], "type": "string", "help": "Scope to run.", "panel": "Scope" },
+        { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json, quiet.", "panel": "Output" }
+      ],
+      "apiEndpoint": "delete",
+      "notes": "Mutually exclusive modes: (1) mem0 delete <id> -- single memory, (2) mem0 delete --all [scope] -- bulk delete, (3) mem0 delete --entity [scope] -- entity cascade delete. Cannot combine <memoryId> with --all or --entity, and cannot combine --all with --entity."
+    },
+    {
+      "name": "import",
+      "description": "Import memories from a JSON file.",
+      "usage": "mem0 import <file_path> [OPTIONS]",
+      "needsBackend": true,
+      "needsConfig": true,
+      "resolveIds": true,
+      "resolveGraph": false,
+      "confirmDangerous": false,
+      "outputFormats": ["text"],
+      "defaultOutput": "text",
+      "arguments": [
+        {
+          "name": "file_path",
+          "type": "string",
+          "required": true,
+          "help": "JSON file to import."
+        }
+      ],
+      "options": [
+        { "name": "user_id", "flags": ["--user-id", "-u"], "type": "string", "help": "Override user ID.", "panel": "Scope" },
+        { "name": "agent_id", "flags": ["--agent-id"], "type": "string", "help": "Override agent ID.", "panel": "Scope" }
+      ],
+      "apiEndpoint": "add"
+    },
+    {
+      "name": "config",
+      "description": "Manage mem0 configuration.",
+      "isGroup": true,
+      "subcommands": [
+        {
+          "name": "show",
+          "description": "Display current configuration (secrets redacted).",
+          "usage": "mem0 config show",
+          "needsBackend": false,
+          "needsConfig": false,
+          "arguments": [],
+          "options": []
+        },
+        {
+          "name": "get",
+          "description": "Get a configuration value.",
+          "usage": "mem0 config get <key>",
+          "needsBackend": false,
+          "needsConfig": false,
+          "arguments": [
+            {
+              "name": "key",
+              "type": "string",
+              "required": true,
+              "help": "Config key (e.g. platform.api_key)."
+            }
+          ],
+          "options": []
+        },
+        {
+          "name": "set",
+          "description": "Set a configuration value.",
+          "usage": "mem0 config set <key> <value>",
+          "needsBackend": false,
+          "needsConfig": false,
+          "arguments": [
+            {
+              "name": "key",
+              "type": "string",
+              "required": true,
+              "help": "Config key (e.g. platform.api_key)."
+            },
+            {
+              "name": "value",
+              "type": "string",
+              "required": true,
+              "help": "Value to set."
+            }
+          ],
+          "options": []
+        }
+      ]
+    },
+    {
+      "name": "entity",
+      "description": "Manage entities.",
+      "isGroup": true,
+      "subcommands": [
+        {
+          "name": "list",
+          "description": "List all entities of a given type.",
+          "usage": "mem0 entity list <entity_type>",
+          "needsBackend": true,
+          "needsConfig": false,
+          "resolveIds": false,
+          "resolveGraph": false,
+          "confirmDangerous": false,
+          "outputFormats": ["table", "json"],
+          "defaultOutput": "table",
+          "arguments": [
+            {
+              "name": "entity_type",
+              "type": "string",
+              "required": true,
+              "help": "Entity type: users, agents, apps, runs.",
+              "choices": ["users", "agents", "apps", "runs"]
+            }
+          ],
+          "options": [
+            { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "table", "help": "Output: table, json.", "panel": "Output" }
+          ],
+          "apiEndpoint": "entities"
+        },
+        {
+          "name": "delete",
+          "description": "Delete an entity and ALL its memories (cascade).",
+          "usage": "mem0 entity delete [OPTIONS]",
+          "needsBackend": true,
+          "needsConfig": false,
+          "resolveIds": false,
+          "resolveGraph": false,
+          "confirmDangerous": true,
+          "outputFormats": ["text", "json", "quiet"],
+          "defaultOutput": "text",
+          "arguments": [],
+          "options": [
+            { "name": "user_id", "flags": ["--user-id", "-u"], "type": "string", "help": "User ID.", "panel": "Scope" },
+            { "name": "agent_id", "flags": ["--agent-id"], "type": "string", "help": "Agent ID.", "panel": "Scope" },
+            { "name": "app_id", "flags": ["--app-id"], "type": "string", "help": "App ID.", "panel": "Scope" },
+            { "name": "run_id", "flags": ["--run-id"], "type": "string", "help": "Run ID.", "panel": "Scope" },
+            { "name": "dry_run", "flags": ["--dry-run"], "type": "boolean", "default": false, "help": "Show what would be deleted without deleting." },
+            { "name": "force", "flags": ["--force"], "type": "boolean", "default": false, "help": "Skip confirmation." },
+            { "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json, quiet.", "panel": "Output" }
+          ],
+          "apiEndpoint": "deleteEntities"
+        }
+      ]
+    },
+    {
+      "name": "init",
+      "description": "Setup wizard for mem0 CLI. Supports email login (--email) or manual API key (--api-key).",
+      "usage": "mem0 init [OPTIONS]",
+      "needsBackend": false,
+      "needsConfig": false,
+      "resolveIds": false,
+      "resolveGraph": false,
+      "confirmDangerous": false,
+      "arguments": [],
+      "options": [
+        { "name": "api-key", "flags": ["--api-key"], "type": "string", "default": null, "help": "API key (skip prompt)." },
+        { "name": "user-id", "flags": ["-u", "--user-id"], "type": "string", "default": null, "help": "Default user ID (skip prompt)." },
+        { "name": "email", "flags": ["--email"], "type": "string", "default": null, "help": "Login via email verification code." },
+        { "name": "code", "flags": ["--code"], "type": "string", "default": null, "help": "Verification code (use with --email for non-interactive login)." },
+        { "name": "force", "flags": ["--force"], "type": "boolean", "default": false, "help": "Overwrite existing config without confirmation." }
+      ]
+    },
+    {
+      "name": "status",
+      "description": "Check connectivity and authentication.",
+      "usage": "mem0 status [OPTIONS]",
+      "needsBackend": true,
+      "needsConfig": true,
+      "resolveIds": false,
+      "resolveGraph": false,
+      "confirmDangerous": false,
+      "arguments": [],
+      "options": []
+    },
+    {
+      "name": "help",
+      "description": "Show help. Use --json for machine-readable output (for LLM agents).",
+      "usage": "mem0 help [OPTIONS]",
+      "needsBackend": false,
+      "needsConfig": false,
+      "resolveIds": false,
+      "resolveGraph": false,
+      "confirmDangerous": false,
+      "arguments": [],
+      "options": [
+        { "name": "json", "flags": ["--json"], "type": "boolean", "default": false, "help": "Output machine-readable JSON for LLM agents." }
+      ]
+    }
+  ]
+}

cli/node/README.md

@@ -0,0 +1,337 @@
+# mem0 CLI (Node.js)
+
+The official command-line interface for [mem0](https://mem0.ai) — the memory layer for AI agents. TypeScript implementation.
+
+> **Built for AI agents.** Pass `--agent` (or `--json`) as a global flag on any command to get structured JSON output optimized for programmatic consumption — sanitized fields, no colors or spinners, and errors as JSON too.
+
+## Prerequisites
+
+- Node.js **18+**
+- pnpm (`npm install -g pnpm`) — for development only
+
+## Installation
+
+```bash
+npm install -g @mem0/cli
+```
+
+## Quick start
+
+```bash
+# Interactive setup wizard
+mem0 init
+
+# Or login via email
+mem0 init --email alice@company.com
+
+# Or authenticate with an existing API key
+mem0 init --api-key m0-xxx
+
+# Add a memory
+mem0 add "I prefer dark mode and use vim keybindings" --user-id alice
+
+# Search memories
+mem0 search "What are Alice's preferences?" --user-id alice
+
+# List all memories for a user
+mem0 list --user-id alice
+
+# Get a specific memory
+mem0 get <memory-id>
+
+# Update a memory
+mem0 update <memory-id> "I switched to light mode"
+
+# Delete a memory
+mem0 delete <memory-id>
+```
+
+## Commands
+
+### `mem0 init`
+
+Interactive setup wizard. Prompts for your API key and default user ID.
+
+```bash
+mem0 init
+mem0 init --api-key m0-xxx --user-id alice
+mem0 init --email alice@company.com
+```
+
+If an existing configuration is detected, the CLI asks for confirmation before overwriting. Use `--force` to skip the prompt (useful in CI/CD).
+
+```bash
+mem0 init --api-key m0-xxx --user-id alice --force
+```
+
+| Flag | Description |
+|------|-------------|
+| `--api-key` | API key (skip prompt) |
+| `-u, --user-id` | Default user ID (skip prompt) |
+| `--email` | Login via email verification code |
+| `--code` | Verification code (use with `--email` for non-interactive login) |
+| `--force` | Overwrite existing config without confirmation |
+
+### `mem0 add`
+
+Add a memory from text, a JSON messages array, a file, or stdin.
+
+```bash
+mem0 add "I prefer dark mode" --user-id alice
+mem0 add --file conversation.json --user-id alice
+echo "Loves hiking on weekends" | mem0 add --user-id alice
+```
+
+| Flag | Description |
+|------|-------------|
+| `-u, --user-id` | Scope to a user |
+| `--agent-id` | Scope to an agent |
+| `--messages` | Conversation messages as JSON |
+| `-f, --file` | Read messages from a JSON file |
+| `-m, --metadata` | Custom metadata as JSON |
+| `--categories` | Categories (JSON array or comma-separated) |
+| `--graph / --no-graph` | Enable or disable graph memory extraction |
+| `-o, --output` | Output format: `text`, `json`, `quiet` |
+
+### `mem0 search`
+
+Search memories using natural language.
+
+```bash
+mem0 search "dietary restrictions" --user-id alice
+mem0 search "preferred tools" --user-id alice --output json --top-k 5
+```
+
+| Flag | Description |
+|------|-------------|
+| `-u, --user-id` | Filter by user |
+| `-k, --top-k` | Number of results (default: 10) |
+| `--threshold` | Minimum similarity score (default: 0.3) |
+| `--rerank` | Enable reranking |
+| `--keyword` | Use keyword search instead of semantic |
+| `--filter` | Advanced filter expression (JSON) |
+| `--graph / --no-graph` | Enable or disable graph in search |
+| `-o, --output` | Output format: `text`, `json`, `table` |
+
+### `mem0 list`
+
+List memories with optional filters and pagination.
+
+```bash
+mem0 list --user-id alice
+mem0 list --user-id alice --category preferences --output json
+mem0 list --user-id alice --after 2024-01-01 --page-size 50
+```
+
+| Flag | Description |
+|------|-------------|
+| `-u, --user-id` | Filter by user |
+| `--page` | Page number (default: 1) |
+| `--page-size` | Results per page (default: 100) |
+| `--category` | Filter by category |
+| `--after` | Created after date (YYYY-MM-DD) |
+| `--before` | Created before date (YYYY-MM-DD) |
+| `-o, --output` | Output format: `text`, `json`, `table` |
+
+### `mem0 get`
+
+Retrieve a specific memory by ID.
+
+```bash
+mem0 get 7b3c1a2e-4d5f-6789-abcd-ef0123456789
+mem0 get 7b3c1a2e-4d5f-6789-abcd-ef0123456789 --output json
+```
+
+### `mem0 update`
+
+Update the text or metadata of an existing memory.
+
+```bash
+mem0 update <memory-id> "Updated preference text"
+mem0 update <memory-id> --metadata '{"priority": "high"}'
+echo "new text" | mem0 update <memory-id>
+```
+
+### `mem0 delete`
+
+Delete a single memory, all memories for a scope, or an entire entity.
+
+```bash
+# Delete a single memory
+mem0 delete <memory-id>
+
+# Delete all memories for a user
+mem0 delete --all --user-id alice --force
+
+# Delete all memories project-wide
+mem0 delete --all --project --force
+
+# Preview what would be deleted
+mem0 delete --all --user-id alice --dry-run
+```
+
+| Flag | Description |
+|------|-------------|
+| `--all` | Delete all memories matching scope filters |
+| `--entity` | Delete the entity and all its memories |
+| `--project` | With `--all`: delete all memories project-wide |
+| `--dry-run` | Preview without deleting |
+| `--force` | Skip confirmation prompt |
+
+### `mem0 import`
+
+Bulk import memories from a JSON file.
+
+```bash
+mem0 import data.json --user-id alice
+```
+
+The file should be a JSON array where each item has a `memory` (or `text` or `content`) field and optional `user_id`, `agent_id`, and `metadata` fields.
+
+### `mem0 config`
+
+View or modify the local CLI configuration.
+
+```bash
+mem0 config show              # Display current config (secrets redacted)
+mem0 config get api_key       # Get a specific value
+mem0 config set user_id bob   # Set a value
+```
+
+### `mem0 entity`
+
+List or delete entities (users, agents, apps, runs).
+
+```bash
+mem0 entity list users
+mem0 entity list agents --output json
+mem0 entity delete --user-id alice --force
+```
+
+### `mem0 event`
+
+Inspect background processing events created by async operations (e.g. bulk deletes, large add jobs).
+
+```bash
+# List recent events
+mem0 event list
+
+# Check the status of a specific event
+mem0 event status <event-id>
+```
+
+| Flag | Description |
+|------|-------------|
+| `-o, --output` | Output format: `text`, `json` |
+
+### `mem0 status`
+
+Verify your API connection and display the current project.
+
+```bash
+mem0 status
+```
+
+### `mem0 version`
+
+Print the CLI version.
+
+```bash
+mem0 version
+```
+
+## Agent mode
+
+Pass `--agent` (or its alias `--json`) as a **global flag** on any command to get output designed for AI agent tool loops:
+
+```bash
+mem0 --agent search "user preferences" --user-id alice
+mem0 --agent add "User prefers dark mode" --user-id alice
+mem0 --agent list --user-id alice
+mem0 --agent delete --all --user-id alice --force
+```
+
+Every command returns the same envelope shape:
+
+```json
+{
+  "status": "success",
+  "command": "search",
+  "duration_ms": 134,
+  "scope": { "user_id": "alice" },
+  "count": 2,
+  "data": [
+    { "id": "abc-123", "memory": "User prefers dark mode", "score": 0.97, "created_at": "2026-01-15", "categories": ["preferences"] }
+  ]
+}
+```
+
+What agent mode does differently from `--output json`:
+
+- **Sanitized `data`**: only the fields an agent needs (id, memory, score, etc.) — no internal API noise
+- **No human output**: spinners, colors, and banners are suppressed entirely
+- **Errors as JSON**: errors go to stdout as `{"status": "error", "command": "...", "error": "..."}` with a non-zero exit code
+
+Use `mem0 help --json` to get the full command tree as JSON — useful for agents that need to self-discover available commands.
+
+## Output formats
+
+Control how results are displayed with `--output`:
+
+| Format | Description |
+|--------|-------------|
+| `text` | Human-readable with colors and formatting (default) |
+| `json` | Structured JSON for piping to `jq` (raw API response) |
+| `table` | Tabular format (default for `list`) |
+| `quiet` | Minimal — just IDs or status codes |
+| `agent` | Structured JSON envelope with sanitized fields (set by `--agent`/`--json`) |
+
+## Global flags
+
+These flags are available on all commands:
+
+| Flag | Description |
+|------|-------------|
+| `--json` | Enable agent mode: structured JSON envelope output, no colors or spinners |
+| `--agent` | Alias for `--json` |
+| `--api-key` | Override the configured API key for this request |
+| `--base-url` | Override the configured API base URL for this request |
+| `-o, --output` | Set the output format |
+
+## Environment variables
+
+| Variable | Description |
+|----------|-------------|
+| `MEM0_API_KEY` | API key (overrides config file) |
+| `MEM0_BASE_URL` | API base URL |
+| `MEM0_USER_ID` | Default user ID |
+| `MEM0_AGENT_ID` | Default agent ID |
+| `MEM0_APP_ID` | Default app ID |
+| `MEM0_RUN_ID` | Default run ID |
+| `MEM0_ENABLE_GRAPH` | Enable graph memory (`true` / `false`) |
+
+Environment variables take precedence over values in the config file, which take precedence over defaults.
+
+## Development
+
+```bash
+cd cli/node
+pnpm install
+
+# Development mode (runs TypeScript directly, no build needed)
+pnpm dev --help
+pnpm dev add "test memory" --user-id alice
+pnpm dev search "test" --user-id alice
+
+# Or build first, then run the compiled JS
+pnpm build
+node dist/index.js --help
+```
+
+## Documentation
+
+Full documentation is available at [docs.mem0.ai/platform/cli](https://docs.mem0.ai/platform/cli).
+
+## License
+
+Apache-2.0

cli/node/development.md

@@ -0,0 +1,91 @@
+# Development
+
+## Prerequisites
+
+- Node.js **18+**
+- pnpm (`npm install -g pnpm`)
+
+## Setup
+
+From the `node/` directory:
+
+```bash
+pnpm install
+```
+
+## Running the CLI
+
+There are two ways to run the CLI during development:
+
+### Option 1: Development mode (no build needed)
+
+Uses `tsx` to run TypeScript directly. Pass CLI arguments after `pnpm dev`:
+
+```bash
+pnpm dev --help
+pnpm dev version
+pnpm dev add "test memory" --user-id alice
+pnpm dev search "test" --user-id alice
+pnpm dev config show
+```
+
+> **Note:** Do NOT use `pnpm dev -- --help`. With pnpm, arguments pass through directly — adding `--` inserts a literal `--` that breaks the CLI parser.
+
+### Option 2: Build and run compiled JS
+
+```bash
+# Build first
+pnpm build
+
+# Run the compiled CLI
+node dist/index.js --help
+node dist/index.js version
+node dist/index.js add "test memory" --user-id alice
+```
+
+### Option 3: Link globally (makes `mem0` available system-wide)
+
+```bash
+pnpm build
+pnpm link --global
+
+# Now use it like a normal CLI
+mem0 --help
+mem0 version
+```
+
+> **Warning:** If you also have the Python CLI installed, both register the `mem0` command. The last one linked/installed wins. Unlink with `pnpm unlink --global`.
+
+## Build
+
+```bash
+pnpm build
+```
+
+The compiled output is in `dist/`.
+
+## Run tests
+
+```bash
+# Run all tests
+pnpm test
+
+# Watch mode
+pnpm test:watch
+```
+
+## Lint
+
+```bash
+# Check
+pnpm lint
+
+# Auto-fix
+pnpm lint:fix
+```
+
+## Type checking
+
+```bash
+pnpm typecheck
+```

cli/node/package.json

@@ -0,0 +1,47 @@
+{
+  "name": "@mem0/cli",
+  "version": "0.2.1",
+  "description": "The official CLI for mem0 — the memory layer for AI agents",
+  "type": "module",
+  "bin": {
+    "mem0": "./dist/index.js"
+  },
+  "scripts": {
+    "build": "tsup",
+    "dev": "tsx src/index.ts",
+    "test": "vitest run",
+    "test:watch": "vitest",
+    "lint": "biome check src/",
+    "lint:fix": "biome check --write src/",
+    "typecheck": "tsc --noEmit"
+  },
+  "engines": {
+    "node": ">=18.0.0"
+  },
+  "license": "Apache-2.0",
+  "author": "mem0.ai <founders@mem0.ai>",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/mem0ai/mem0",
+    "directory": "cli/node"
+  },
+  "keywords": ["mem0", "memory", "ai", "agents", "cli"],
+  "publishConfig": {
+    "access": "public"
+  },
+  "dependencies": {
+    "commander": "^12.0.0",
+    "chalk": "^5.3.0",
+    "cli-table3": "^0.6.4",
+    "ora": "^8.0.0",
+    "boxen": "^7.1.0"
+  },
+  "devDependencies": {
+    "typescript": "^5.4.0",
+    "tsup": "^8.0.0",
+    "tsx": "^4.7.0",
+    "vitest": "^1.5.0",
+    "@biomejs/biome": "^1.7.0",
+    "@types/node": "^20.0.0"
+  }
+}

cli/node/src/backend/base.ts

@@ -0,0 +1,128 @@
+/**
+ * Abstract backend interface and factory.
+ */
+
+import type { Mem0Config } from "../config.js";
+import { PlatformBackend } from "./platform.js";
+
+export interface AddOptions {
+	userId?: string;
+	agentId?: string;
+	appId?: string;
+	runId?: string;
+	metadata?: Record<string, unknown>;
+	immutable?: boolean;
+	infer?: boolean;
+	expires?: string;
+	categories?: string[];
+	enableGraph?: boolean;
+}
+
+export interface SearchOptions {
+	userId?: string;
+	agentId?: string;
+	appId?: string;
+	runId?: string;
+	topK?: number;
+	threshold?: number;
+	rerank?: boolean;
+	keyword?: boolean;
+	filters?: Record<string, unknown>;
+	fields?: string[];
+	enableGraph?: boolean;
+}
+
+export interface ListOptions {
+	userId?: string;
+	agentId?: string;
+	appId?: string;
+	runId?: string;
+	page?: number;
+	pageSize?: number;
+	category?: string;
+	after?: string;
+	before?: string;
+	enableGraph?: boolean;
+}
+
+export interface DeleteOptions {
+	all?: boolean;
+	userId?: string;
+	agentId?: string;
+	appId?: string;
+	runId?: string;
+}
+
+export interface EntityIds {
+	userId?: string;
+	agentId?: string;
+	appId?: string;
+	runId?: string;
+}
+
+export interface Backend {
+	add(
+		content?: string,
+		messages?: Record<string, unknown>[],
+		opts?: AddOptions,
+	): Promise<Record<string, unknown>>;
+
+	search(
+		query: string,
+		opts?: SearchOptions,
+	): Promise<Record<string, unknown>[]>;
+
+	get(memoryId: string): Promise<Record<string, unknown>>;
+
+	listMemories(opts?: ListOptions): Promise<Record<string, unknown>[]>;
+
+	update(
+		memoryId: string,
+		content?: string,
+		metadata?: Record<string, unknown>,
+	): Promise<Record<string, unknown>>;
+
+	delete(
+		memoryId?: string,
+		opts?: DeleteOptions,
+	): Promise<Record<string, unknown>>;
+
+	deleteEntities(opts: EntityIds): Promise<Record<string, unknown>>;
+
+	status(opts?: { userId?: string; agentId?: string }): Promise<
+		Record<string, unknown>
+	>;
+
+	entities(entityType: string): Promise<Record<string, unknown>[]>;
+
+	listEvents(): Promise<Record<string, unknown>[]>;
+
+	getEvent(eventId: string): Promise<Record<string, unknown>>;
+}
+
+export class AuthError extends Error {
+	constructor(
+		message = "Authentication failed. Your API key may be invalid or expired.",
+	) {
+		super(message);
+		this.name = "AuthError";
+	}
+}
+
+export class NotFoundError extends Error {
+	constructor(path: string) {
+		super(`Resource not found: ${path}`);
+		this.name = "NotFoundError";
+	}
+}
+
+export class APIError extends Error {
+	constructor(path: string, detail: string) {
+		super(`Bad request to ${path}: ${detail}`);
+		this.name = "APIError";
+	}
+}
+
+export function getBackend(config: Mem0Config): Backend {
+	return new PlatformBackend(config.platform);
+}

cli/node/src/backend/index.ts

@@ -0,0 +1,14 @@
+/**
+ * Backend factory re-export.
+ */
+
+export { getBackend } from "./base.js";
+export type {
+	Backend,
+	AddOptions,
+	SearchOptions,
+	ListOptions,
+	DeleteOptions,
+	EntityIds,
+} from "./base.js";
+export { AuthError, NotFoundError, APIError } from "./base.js";

cli/node/src/backend/platform.ts

@@ -0,0 +1,346 @@
+/**
+ * Platform (SaaS) backend — communicates with api.mem0.ai.
+ */
+
+import type { PlatformConfig } from "../config.js";
+import {
+	APIError,
+	type AddOptions,
+	AuthError,
+	type Backend,
+	type DeleteOptions,
+	type EntityIds,
+	type ListOptions,
+	NotFoundError,
+	type SearchOptions,
+} from "./base.js";
+
+export class PlatformBackend implements Backend {
+	private baseUrl: string;
+	private headers: Record<string, string>;
+
+	constructor(config: PlatformConfig) {
+		this.baseUrl = config.baseUrl.replace(/\/+$/, "");
+		this.headers = {
+			Authorization: `Token ${config.apiKey}`,
+			"Content-Type": "application/json",
+		};
+	}
+
+	private async _request(
+		method: string,
+		path: string,
+		opts?: { json?: unknown; params?: Record<string, string> },
+	): Promise<unknown> {
+		let url = `${this.baseUrl}${path}`;
+		if (opts?.params) {
+			const qs = new URLSearchParams(opts.params).toString();
+			url += `?${qs}`;
+		}
+
+		const fetchOpts: RequestInit = {
+			method,
+			headers: this.headers,
+			signal: AbortSignal.timeout(30_000),
+		};
+		if (opts?.json) {
+			fetchOpts.body = JSON.stringify(opts.json);
+		}
+
+		const resp = await fetch(url, fetchOpts);
+
+		if (resp.status === 401) {
+			throw new AuthError();
+		}
+		if (resp.status === 404) {
+			throw new NotFoundError(path);
+		}
+		if (resp.status === 400) {
+			let detail: string;
+			try {
+				const body = (await resp.json()) as Record<string, unknown>;
+				detail =
+					((body.detail ?? body.message ?? JSON.stringify(body)) as string) ??
+					resp.statusText;
+			} catch {
+				detail = resp.statusText;
+			}
+			throw new APIError(path, detail);
+		}
+		if (!resp.ok) {
+			let detail: string = resp.statusText;
+			try {
+				const body = (await resp.json()) as Record<string, unknown>;
+				detail = (body.detail ?? body.message ?? resp.statusText) as string;
+			} catch {
+				/* ignore */
+			}
+			throw new Error(`HTTP ${resp.status}: ${detail}`);
+		}
+		if (resp.status === 204) {
+			return {};
+		}
+		return resp.json();
+	}
+
+	async add(
+		content?: string,
+		messages?: Record<string, unknown>[],
+		opts: AddOptions = {},
+	): Promise<Record<string, unknown>> {
+		const payload: Record<string, unknown> = {};
+
+		if (messages) {
+			payload.messages = messages;
+		} else if (content) {
+			payload.messages = [{ role: "user", content }];
+		}
+
+		if (opts.userId) payload.user_id = opts.userId;
+		if (opts.agentId) payload.agent_id = opts.agentId;
+		if (opts.appId) payload.app_id = opts.appId;
+		if (opts.runId) payload.run_id = opts.runId;
+		if (opts.metadata) payload.metadata = opts.metadata;
+		if (opts.immutable) payload.immutable = true;
+		if (opts.infer === false) payload.infer = false;
+		if (opts.expires) payload.expiration_date = opts.expires;
+		if (opts.categories) payload.categories = opts.categories;
+		if (opts.enableGraph) payload.enable_graph = true;
+
+		return (await this._request("POST", "/v1/memories/", {
+			json: payload,
+		})) as Record<string, unknown>;
+	}
+
+	private _buildFilters(opts: {
+		userId?: string;
+		agentId?: string;
+		appId?: string;
+		runId?: string;
+		extraFilters?: Record<string, unknown>;
+	}): Record<string, unknown> | undefined {
+		// If caller passed a pre-built filter structure, use it directly
+		if (
+			opts.extraFilters &&
+			("AND" in opts.extraFilters || "OR" in opts.extraFilters)
+		) {
+			return opts.extraFilters;
+		}
+
+		const andConditions: Record<string, unknown>[] = [];
+		if (opts.userId) andConditions.push({ user_id: opts.userId });
+		if (opts.agentId) andConditions.push({ agent_id: opts.agentId });
+		if (opts.appId) andConditions.push({ app_id: opts.appId });
+		if (opts.runId) andConditions.push({ run_id: opts.runId });
+
+		if (opts.extraFilters) {
+			for (const [k, v] of Object.entries(opts.extraFilters)) {
+				andConditions.push({ [k]: v });
+			}
+		}
+
+		if (andConditions.length === 1) return andConditions[0];
+		if (andConditions.length > 1) return { AND: andConditions };
+		return undefined;
+	}
+
+	async search(
+		query: string,
+		opts: SearchOptions = {},
+	): Promise<Record<string, unknown>[]> {
+		const payload: Record<string, unknown> = {
+			query,
+			top_k: opts.topK ?? 10,
+			threshold: opts.threshold ?? 0.3,
+		};
+
+		const apiFilters = this._buildFilters({
+			userId: opts.userId,
+			agentId: opts.agentId,
+			appId: opts.appId,
+			runId: opts.runId,
+			extraFilters: opts.filters,
+		});
+		if (apiFilters) payload.filters = apiFilters;
+		if (opts.rerank) payload.rerank = true;
+		if (opts.keyword) payload.keyword_search = true;
+		if (opts.fields) payload.fields = opts.fields;
+		if (opts.enableGraph) payload.enable_graph = true;
+
+		const result = (await this._request("POST", "/v2/memories/search/", {
+			json: payload,
+		})) as unknown;
+		if (Array.isArray(result)) return result;
+		const obj = result as Record<string, unknown>;
+		return (obj.results ?? obj.memories ?? []) as Record<string, unknown>[];
+	}
+
+	async get(memoryId: string): Promise<Record<string, unknown>> {
+		return (await this._request("GET", `/v1/memories/${memoryId}/`)) as Record<
+			string,
+			unknown
+		>;
+	}
+
+	async listMemories(
+		opts: ListOptions = {},
+	): Promise<Record<string, unknown>[]> {
+		const payload: Record<string, unknown> = {};
+		const params: Record<string, string> = {
+			page: String(opts.page ?? 1),
+			page_size: String(opts.pageSize ?? 100),
+		};
+
+		const extra: Record<string, unknown> = {};
+		if (opts.category) {
+			extra.categories = { contains: opts.category };
+		}
+		if (opts.after) {
+			extra.created_at = {
+				...(extra.created_at as Record<string, unknown> | undefined),
+				gte: opts.after,
+			};
+		}
+		if (opts.before) {
+			extra.created_at = {
+				...(extra.created_at as Record<string, unknown> | undefined),
+				lte: opts.before,
+			};
+		}
+
+		const apiFilters = this._buildFilters({
+			userId: opts.userId,
+			agentId: opts.agentId,
+			appId: opts.appId,
+			runId: opts.runId,
+			extraFilters: Object.keys(extra).length > 0 ? extra : undefined,
+		});
+		if (apiFilters) payload.filters = apiFilters;
+		if (opts.enableGraph) payload.enable_graph = true;
+
+		const result = (await this._request("POST", "/v2/memories/", {
+			json: payload,
+			params,
+		})) as unknown;
+		if (Array.isArray(result)) return result;
+		const obj = result as Record<string, unknown>;
+		return (obj.results ?? obj.memories ?? []) as Record<string, unknown>[];
+	}
+
+	async update(
+		memoryId: string,
+		content?: string,
+		metadata?: Record<string, unknown>,
+	): Promise<Record<string, unknown>> {
+		const payload: Record<string, unknown> = {};
+		if (content) payload.text = content;
+		if (metadata) payload.metadata = metadata;
+		return (await this._request("PUT", `/v1/memories/${memoryId}/`, {
+			json: payload,
+		})) as Record<string, unknown>;
+	}
+
+	async delete(
+		memoryId?: string,
+		opts: DeleteOptions = {},
+	): Promise<Record<string, unknown>> {
+		if (opts.all) {
+			const params: Record<string, string> = {};
+			if (opts.userId) params.user_id = opts.userId;
+			if (opts.agentId) params.agent_id = opts.agentId;
+			if (opts.appId) params.app_id = opts.appId;
+			if (opts.runId) params.run_id = opts.runId;
+			return (await this._request("DELETE", "/v1/memories/", {
+				params,
+			})) as Record<string, unknown>;
+		}
+		if (memoryId) {
+			return (await this._request(
+				"DELETE",
+				`/v1/memories/${memoryId}/`,
+			)) as Record<string, unknown>;
+		}
+		throw new Error("Either memoryId or --all is required");
+	}
+
+	async deleteEntities(opts: EntityIds): Promise<Record<string, unknown>> {
+		// v2 endpoint: DELETE /v2/entities/{entity_type}/{entity_id}/
+		const typeMap: [string, string | undefined][] = [
+			["user", opts.userId],
+			["agent", opts.agentId],
+			["app", opts.appId],
+			["run", opts.runId],
+		];
+		const entities = typeMap.filter(([, v]) => v) as [string, string][];
+		if (entities.length === 0) {
+			throw new Error("At least one entity ID is required for deleteEntities.");
+		}
+		// Delete each provided entity via the v2 path-based endpoint
+		let result: Record<string, unknown> = {};
+		for (const [entityType, entityId] of entities) {
+			result = (await this._request(
+				"DELETE",
+				`/v2/entities/${entityType}/${entityId}/`,
+			)) as Record<string, unknown>;
+		}
+		return result;
+	}
+
+	async status(
+		opts: { userId?: string; agentId?: string } = {},
+	): Promise<Record<string, unknown>> {
+		try {
+			await this._request("GET", "/v1/ping/");
+			return { connected: true, backend: "platform", base_url: this.baseUrl };
+		} catch (e) {
+			return {
+				connected: false,
+				backend: "platform",
+				error: e instanceof Error ? e.message : String(e),
+			};
+		}
+	}
+
+	async entities(entityType: string): Promise<Record<string, unknown>[]> {
+		const result = (await this._request("GET", "/v1/entities/")) as unknown;
+		let items: Record<string, unknown>[];
+		if (Array.isArray(result)) {
+			items = result;
+		} else {
+			items = ((result as Record<string, unknown>).results ?? []) as Record<
+				string,
+				unknown
+			>[];
+		}
+
+		const typeMap: Record<string, string> = {
+			users: "user",
+			agents: "agent",
+			apps: "app",
+			runs: "run",
+		};
+		const targetType = typeMap[entityType];
+		if (targetType) {
+			items = items.filter(
+				(e) => (e.type as string | undefined)?.toLowerCase() === targetType,
+			);
+		}
+		return items;
+	}
+
+	async listEvents(): Promise<Record<string, unknown>[]> {
+		const result = (await this._request("GET", "/v1/events/")) as unknown;
+		if (Array.isArray(result)) return result;
+		return ((result as Record<string, unknown>).results ?? []) as Record<
+			string,
+			unknown
+		>[];
+	}
+
+	async getEvent(eventId: string): Promise<Record<string, unknown>> {
+		return (await this._request("GET", `/v1/event/${eventId}/`)) as Record<
+			string,
+			unknown
+		>;
+	}
+}

cli/node/src/branding.ts

@@ -0,0 +1,172 @@
+/**
+ * Branding and ASCII art for mem0 CLI.
+ */
+
+import chalk from "chalk";
+import ora, { type Ora } from "ora";
+import { getCurrentCommand, isAgentMode } from "./state.js";
+import { CLI_VERSION } from "./version.js";
+
+export const LOGO = `
+███╗   ███╗███████╗███╗   ███╗ ██████╗      ██████╗██╗     ██╗
+████╗ ████║██╔════╝████╗ ████║██╔═████╗    ██╔════╝██║     ██║
+██╔████╔██║█████╗  ██╔████╔██║██║██╔██║    ██║     ██║     ██║
+██║╚██╔╝██║██╔══╝  ██║╚██╔╝██║████╔╝██║    ██║     ██║     ██║
+██║ ╚═╝ ██║███████╗██║ ╚═╝ ██║╚██████╔╝    ╚██████╗███████╗██║
+╚═╝     ╚═╝╚══════╝╚═╝     ╚═╝ ╚═════╝      ╚═════╝╚══════╝╚═╝
+`;
+
+export const LOGO_MINI = "◆ mem0";
+export const TAGLINE = "The Memory Layer for AI Agents";
+
+export const BRAND_COLOR = "#8b5cf6";
+export const ACCENT_COLOR = "#a78bfa";
+export const SUCCESS_COLOR = "#22c55e";
+export const ERROR_COLOR = "#ef4444";
+export const WARNING_COLOR = "#f59e0b";
+export const DIM_COLOR = "#6b7280";
+
+const brand = chalk.hex(BRAND_COLOR);
+const accent = chalk.hex(ACCENT_COLOR);
+const success = chalk.hex(SUCCESS_COLOR);
+const error = chalk.hex(ERROR_COLOR);
+const warning = chalk.hex(WARNING_COLOR);
+const dim = chalk.hex(DIM_COLOR);
+
+/**
+ * Choose a symbol based on TTY/NO_COLOR. Fancy for interactive terminals,
+ * plain-text for piped/non-TTY or NO_COLOR environments.
+ */
+export function sym(fancy: string, plain: string): string {
+	if (!process.stdout.isTTY || process.env.NO_COLOR) return plain;
+	return fancy;
+}
+
+export function printBanner(): void {
+	if (isAgentMode()) return;
+	const pad = 3; // horizontal padding each side (matches Rich's padding=(0, 2))
+	const logoLines = LOGO.trimEnd().split("\n");
+	const tagline = `  ${TAGLINE}`;
+	const subtitle = `Node.js SDK · v${CLI_VERSION}`;
+	const contentLines = ["", ...logoLines, "", tagline, ""];
+
+	// Compute inner width from longest content line + padding both sides
+	const maxContent = Math.max(...contentLines.map((l) => l.length));
+	const innerWidth = maxContent + pad * 2;
+	const totalWidth = innerWidth + 2; // + 2 for │ borders
+
+	const topBorder = brand(`╭${"─".repeat(totalWidth - 2)}╮`);
+	const subtitleFill = totalWidth - 2 - subtitle.length - 3; // 3 = "─ " before subtitle + "─" after
+	const bottomBorder = brand(
+		`╰${"─".repeat(subtitleFill)} ${dim(subtitle)} ${"─"}╯`,
+	);
+
+	const body = contentLines.map((line) => {
+		const rightPad = innerWidth - pad - line.length;
+		return `${brand("│")}${" ".repeat(pad)}${brand.bold(line)}${" ".repeat(Math.max(rightPad, 0))}${brand("│")}`;
+	});
+	// Re-color tagline line with accent instead of brand.bold
+	const taglineIdx = body.length - 2; // second-to-last (before trailing empty line)
+	const taglineRightPad = innerWidth - pad - tagline.length;
+	body[taglineIdx] =
+		`${brand("│")}${" ".repeat(pad)}${accent(tagline)}${" ".repeat(Math.max(taglineRightPad, 0))}${brand("│")}`;
+
+	console.log(topBorder);
+	for (const line of body) console.log(line);
+	console.log(bottomBorder);
+}
+
+export function printSuccess(message: string): void {
+	if (isAgentMode()) return;
+	console.log(`${success(sym("✓", "[ok]"))} ${message}`);
+}
+
+export function printError(message: string, hint?: string): void {
+	if (isAgentMode()) {
+		const envelope = {
+			status: "error",
+			command: getCurrentCommand(),
+			error: message,
+			data: null,
+		};
+		console.log(JSON.stringify(envelope));
+		return;
+	}
+	console.error(`${error(`${sym("✗", "[error]")} Error:`)} ${message}`);
+	const resolvedHint =
+		hint ??
+		(message.includes("Authentication failed")
+			? `Run ${brand("mem0 init")} to reconfigure your API key · https://app.mem0.ai/dashboard/api-keys`
+			: undefined);
+	if (resolvedHint) {
+		console.error(`  ${dim(resolvedHint)}`);
+	}
+}
+
+export function printWarning(message: string): void {
+	console.error(`${warning(sym("⚠", "[warn]"))} ${message}`);
+}
+
+export function printInfo(message: string): void {
+	if (isAgentMode()) return;
+	console.error(`${brand(sym("◆", "*"))} ${message}`);
+}
+
+export function printScope(ids: Record<string, string | undefined>): void {
+	if (isAgentMode()) return;
+	const parts: string[] = [];
+	for (const [key, val] of Object.entries(ids)) {
+		if (val) {
+			parts.push(`${key}=${val}`);
+		}
+	}
+	if (parts.length > 0) {
+		console.error(`  ${dim(`Scope: ${parts.join(", ")}`)}`);
+	}
+}
+
+export interface TimedStatusContext {
+	successMsg: string;
+	errorMsg: string;
+}
+
+/**
+ * Run an async function with a spinner, timing the operation.
+ * Equivalent to Python's timed_status context manager.
+ */
+export async function timedStatus<T>(
+	message: string,
+	fn: (ctx: TimedStatusContext) => Promise<T>,
+): Promise<T> {
+	if (isAgentMode()) {
+		const ctx: TimedStatusContext = { successMsg: "", errorMsg: "" };
+		return fn(ctx);
+	}
+	const ctx: TimedStatusContext = { successMsg: "", errorMsg: "" };
+	const spinner = ora({
+		text: dim(message),
+		color: "yellow",
+		stream: process.stderr,
+	}).start();
+	const start = performance.now();
+
+	try {
+		const result = await fn(ctx);
+		const elapsed = ((performance.now() - start) / 1000).toFixed(2);
+		spinner.stop();
+		if (ctx.successMsg) {
+			console.error(`${success("✓")} ${ctx.successMsg} (${elapsed}s)`);
+		}
+		return result;
+	} catch (err) {
+		const elapsed = ((performance.now() - start) / 1000).toFixed(2);
+		spinner.stop();
+		if (ctx.errorMsg) {
+			printError(`${ctx.errorMsg} (${elapsed}s)`);
+		}
+		throw err;
+	}
+}
+
+/** Format helpers using brand colors for external use. */
+export const colors = { brand, accent, success, error, warning, dim };

cli/node/src/commands/config.ts

@@ -0,0 +1,111 @@
+/**
+ * Config management commands: show, set, get.
+ */
+
+import Table from "cli-table3";
+import { colors, printError, printSuccess } from "../branding.js";
+import {
+	getNestedValue,
+	loadConfig,
+	redactKey,
+	saveConfig,
+	setNestedValue,
+} from "../config.js";
+import { formatAgentEnvelope, formatJsonEnvelope } from "../output.js";
+import { isAgentMode, setCurrentCommand } from "../state.js";
+
+const { brand, accent, dim } = colors;
+
+export function cmdConfigShow(opts: { output?: string } = {}): void {
+	setCurrentCommand("config show");
+	const config = loadConfig();
+
+	if (opts.output === "agent" || opts.output === "json") {
+		formatAgentEnvelope({
+			command: "config show",
+			data: {
+				defaults: {
+					user_id: config.defaults.userId || null,
+					agent_id: config.defaults.agentId || null,
+					app_id: config.defaults.appId || null,
+					run_id: config.defaults.runId || null,
+					enable_graph: config.defaults.enableGraph,
+				},
+				platform: {
+					api_key: redactKey(config.platform.apiKey),
+					base_url: config.platform.baseUrl,
+				},
+			},
+		});
+		return;
+	}
+
+	console.log();
+	console.log(`  ${brand("◆ mem0 Configuration")}\n`);
+
+	const table = new Table({
+		head: [accent("Key"), accent("Value")],
+		style: { head: [], border: [] },
+	});
+
+	// Defaults
+	table.push(["defaults.user_id", config.defaults.userId || dim("(not set)")]);
+	table.push([
+		"defaults.agent_id",
+		config.defaults.agentId || dim("(not set)"),
+	]);
+	table.push(["defaults.app_id", config.defaults.appId || dim("(not set)")]);
+	table.push(["defaults.run_id", config.defaults.runId || dim("(not set)")]);
+	table.push(["defaults.enable_graph", String(config.defaults.enableGraph)]);
+	table.push(["", ""]);
+
+	// Platform
+	table.push(["platform.api_key", redactKey(config.platform.apiKey)]);
+	table.push(["platform.base_url", config.platform.baseUrl]);
+
+	console.log(table.toString());
+	console.log();
+}
+
+export function cmdConfigGet(key: string): void {
+	setCurrentCommand("config get");
+	const config = loadConfig();
+	const value = getNestedValue(config, key);
+
+	if (value === undefined) {
+		printError(`Unknown config key: ${key}`);
+	} else {
+		// Redact secrets
+		const displayValue =
+			key.includes("api_key") || key.split(".").pop() === "key"
+				? redactKey(String(value))
+				: String(value);
+		if (isAgentMode()) {
+			formatAgentEnvelope({
+				command: "config get",
+				data: { key, value: displayValue },
+			});
+		} else {
+			console.log(displayValue);
+		}
+	}
+}
+
+export function cmdConfigSet(key: string, value: string): void {
+	setCurrentCommand("config set");
+	const config = loadConfig();
+	if (setNestedValue(config, key, value)) {
+		saveConfig(config);
+		const display = key.includes("key") ? redactKey(value) : value;
+		if (isAgentMode()) {
+			formatAgentEnvelope({
+				command: "config set",
+				data: { key, value: display },
+			});
+		} else {
+			printSuccess(`${key} = ${display}`);
+		}
+	} else {
+		printError(`Unknown config key: ${key}`);
+	}
+}

cli/node/src/commands/entities.ts

@@ -0,0 +1,168 @@
+/**
+ * Entity management commands.
+ */
+
+import readline from "node:readline";
+import Table from "cli-table3";
+import type { Backend } from "../backend/base.js";
+import {
+	colors,
+	printError,
+	printInfo,
+	printSuccess,
+	timedStatus,
+} from "../branding.js";
+import { formatAgentEnvelope, formatJson } from "../output.js";
+import { setCurrentCommand } from "../state.js";
+
+const { brand, accent, dim } = colors;
+
+const VALID_TYPES = new Set(["users", "agents", "apps", "runs"]);
+
+export async function cmdEntitiesList(
+	backend: Backend,
+	entityType: string,
+	opts: { output: string },
+): Promise<void> {
+	setCurrentCommand("entity list");
+	if (!VALID_TYPES.has(entityType)) {
+		printError(
+			`Invalid entity type: ${entityType}. Use: ${[...VALID_TYPES].join(", ")}`,
+		);
+		process.exit(1);
+	}
+
+	const start = performance.now();
+	let results: Record<string, unknown>[];
+	try {
+		results = await timedStatus(`Fetching ${entityType}...`, async () => {
+			return backend.entities(entityType);
+		});
+	} catch (e) {
+		printError(
+			e instanceof Error ? e.message : String(e),
+			"This feature may require the mem0 Platform.",
+		);
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "agent" || opts.output === "json") {
+		formatAgentEnvelope({
+			command: "entity list",
+			data: results,
+			count: results.length,
+			durationMs: Math.round(elapsed * 1000),
+		});
+		return;
+	}
+
+	if (!results.length) {
+		printInfo(`No ${entityType} found.`);
+		return;
+	}
+
+	const table = new Table({
+		head: [accent("Name / ID"), accent("Created")],
+		style: { head: [], border: [] },
+	});
+
+	for (const entity of results) {
+		const name = String(entity.name ?? entity.id ?? "—");
+		const created = String(entity.created_at ?? "—").slice(0, 10);
+		table.push([name, created]);
+	}
+
+	console.log();
+	console.log(table.toString());
+	console.log(
+		`  ${dim(`${results.length} ${entityType} (${elapsed.toFixed(2)}s)`)}`,
+	);
+	console.log();
+}
+
+export async function cmdEntitiesDelete(
+	backend: Backend,
+	opts: {
+		userId?: string;
+		agentId?: string;
+		appId?: string;
+		runId?: string;
+		dryRun?: boolean;
+		force: boolean;
+		output: string;
+	},
+): Promise<void> {
+	setCurrentCommand("entity delete");
+	const { isAgentMode } = await import("../state.js");
+	if (isAgentMode() && !opts.force) {
+		printError("Destructive operation requires --force in agent mode.");
+		process.exit(1);
+	}
+	if (!opts.userId && !opts.agentId && !opts.appId && !opts.runId) {
+		printError(
+			"Provide at least one of --user-id, --agent-id, --app-id, --run-id.",
+		);
+		process.exit(1);
+	}
+
+	const scopeParts: string[] = [];
+	if (opts.userId) scopeParts.push(`user=${opts.userId}`);
+	if (opts.agentId) scopeParts.push(`agent=${opts.agentId}`);
+	if (opts.appId) scopeParts.push(`app=${opts.appId}`);
+	if (opts.runId) scopeParts.push(`run=${opts.runId}`);
+	const scope = scopeParts.join(", ");
+
+	if (opts.dryRun) {
+		printInfo(`Would delete entity ${scope} and all its memories.`);
+		printInfo("No changes made.");
+		return;
+	}
+
+	if (!opts.force) {
+		const rl = readline.createInterface({
+			input: process.stdin,
+			output: process.stdout,
+		});
+		const answer = await new Promise<string>((resolve) => {
+			rl.question(
+				`\n  \u26a0  Delete entity ${scope} AND all its memories? This cannot be undone. [y/N] `,
+				resolve,
+			);
+		});
+		rl.close();
+		if (answer.toLowerCase() !== "y") {
+			printInfo("Cancelled.");
+			process.exit(0);
+		}
+	}
+
+	const start = performance.now();
+	let result: Record<string, unknown>;
+	try {
+		result = await timedStatus("Deleting entity...", async () => {
+			return backend.deleteEntities({
+				userId: opts.userId,
+				agentId: opts.agentId,
+				appId: opts.appId,
+				runId: opts.runId,
+			});
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "agent") {
+		formatAgentEnvelope({
+			command: "entity delete",
+			data: { deleted: true },
+			durationMs: Math.round(elapsed * 1000),
+		});
+	} else if (opts.output === "json") {
+		formatJson(result);
+	} else if (opts.output !== "quiet") {
+		printSuccess(`Entity deleted with all memories (${elapsed.toFixed(2)}s)`);
+	}
+}

cli/node/src/commands/events.ts

@@ -0,0 +1,169 @@
+/**
+ * Event commands: list and status.
+ */
+
+import boxen from "boxen";
+import Table from "cli-table3";
+import type { Backend } from "../backend/base.js";
+import { colors, printError, printInfo, timedStatus } from "../branding.js";
+import { formatAgentEnvelope, formatJson } from "../output.js";
+import { setCurrentCommand } from "../state.js";
+
+const { brand, accent, success, error: errorColor, warning, dim } = colors;
+
+function statusStyled(status: string): string {
+	switch (status.toUpperCase()) {
+		case "SUCCEEDED":
+			return success("SUCCEEDED");
+		case "PENDING":
+			return accent("PENDING");
+		case "FAILED":
+			return errorColor("FAILED");
+		case "PROCESSING":
+			return warning("PROCESSING");
+		default:
+			return status;
+	}
+}
+
+export async function cmdEventList(
+	backend: Backend,
+	opts: { output: string },
+): Promise<void> {
+	setCurrentCommand("event list");
+	const start = performance.now();
+	let results: Record<string, unknown>[];
+	try {
+		results = await timedStatus("Fetching events...", async () => {
+			return backend.listEvents();
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "agent" || opts.output === "json") {
+		formatAgentEnvelope({
+			command: "event list",
+			data: results,
+			count: results.length,
+			durationMs: Math.round(elapsed * 1000),
+		});
+		return;
+	}
+
+	if (results.length === 0) {
+		console.log();
+		printInfo("No events found.");
+		console.log();
+		return;
+	}
+
+	const table = new Table({
+		head: [
+			accent("Event ID"),
+			accent("Type"),
+			accent("Status"),
+			accent("Latency"),
+			accent("Created"),
+		],
+		colWidths: [12, 14, 14, 10, 22],
+		wordWrap: true,
+		style: { head: [], border: [] },
+	});
+
+	for (const ev of results) {
+		const evId = String(ev.id ?? "").slice(0, 8);
+		const evType = String(ev.event_type ?? "—");
+		const status = String(ev.status ?? "—");
+		const latency = ev.latency as number | undefined;
+		const latencyStr = latency !== undefined ? `${Math.round(latency)}ms` : "—";
+		const created = String(ev.created_at ?? "—")
+			.slice(0, 19)
+			.replace("T", " ");
+		table.push([dim(evId), evType, statusStyled(status), latencyStr, created]);
+	}
+
+	console.log();
+	console.log(table.toString());
+	console.log(
+		`  ${dim(`${results.length} event${results.length !== 1 ? "s" : ""}`)}`,
+	);
+	console.log();
+}
+
+export async function cmdEventStatus(
+	backend: Backend,
+	eventId: string,
+	opts: { output: string },
+): Promise<void> {
+	setCurrentCommand("event status");
+	const start = performance.now();
+	let ev: Record<string, unknown>;
+	try {
+		ev = await timedStatus("Fetching event...", async () => {
+			return backend.getEvent(eventId);
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "agent" || opts.output === "json") {
+		formatAgentEnvelope({
+			command: "event status",
+			data: ev,
+			durationMs: Math.round(elapsed * 1000),
+		});
+		return;
+	}
+
+	const status = String(ev.status ?? "—");
+	const evType = String(ev.event_type ?? "—");
+	const latency = ev.latency as number | undefined;
+	const latencyStr = latency !== undefined ? `${Math.round(latency)}ms` : "—";
+	const created = String(ev.created_at ?? "—")
+		.slice(0, 19)
+		.replace("T", " ");
+	const updated = String(ev.updated_at ?? "—")
+		.slice(0, 19)
+		.replace("T", " ");
+	const results = ev.results as Record<string, unknown>[] | undefined;
+
+	const lines: string[] = [];
+	lines.push(`  ${dim("Event ID:")}     ${eventId}`);
+	lines.push(`  ${dim("Type:")}         ${evType}`);
+	lines.push(`  ${dim("Status:")}       ${statusStyled(status)}`);
+	lines.push(`  ${dim("Latency:")}      ${latencyStr}`);
+	lines.push(`  ${dim("Created:")}      ${created}`);
+	lines.push(`  ${dim("Updated:")}      ${updated}`);
+
+	if (results && results.length > 0) {
+		lines.push("");
+		lines.push(`  ${dim(`Results (${results.length}):`)}`);
+		for (const r of results) {
+			const memId = String(r.id ?? "").slice(0, 8);
+			const data = r.data as Record<string, unknown> | undefined;
+			const memory = data?.memory ? String(data.memory) : "";
+			const evName = String(r.event ?? "");
+			const user = String(r.user_id ?? "");
+			let detail = `${evName}  ${memory}`;
+			if (user) detail += `  ${dim(`(user_id=${user})`)}`;
+			lines.push(`    ${success("·")} ${detail}  ${dim(`(${memId})`)}`);
+		}
+	}
+
+	const content = lines.join("\n");
+	console.log();
+	console.log(
+		boxen(content, {
+			title: brand("Event Status"),
+			titleAlignment: "left",
+			borderColor: "magenta",
+			padding: 1,
+		}),
+	);
+	console.log();
+}

cli/node/src/commands/init.ts

@@ -0,0 +1,428 @@
+/**
+ * mem0 init — interactive setup wizard.
+ */
+
+import fs from "node:fs";
+import readline from "node:readline";
+import { PlatformBackend } from "../backend/platform.js";
+import {
+	colors,
+	printBanner,
+	printError,
+	printInfo,
+	printSuccess,
+} from "../branding.js";
+import {
+	CONFIG_FILE,
+	DEFAULT_BASE_URL,
+	type Mem0Config,
+	createDefaultConfig,
+	loadConfig,
+	redactKey,
+	saveConfig,
+} from "../config.js";
+
+const { brand, dim } = colors;
+
+const EMAIL_RE = /^[^@\s]+@[^@\s]+\.[^@\s]+$/;
+
+function validateEmail(email: string): void {
+	if (!EMAIL_RE.test(email)) {
+		printError(`Invalid email address: ${JSON.stringify(email)}`);
+		process.exit(1);
+	}
+}
+
+async function emailLogin(
+	email: string,
+	code: string | undefined,
+	baseUrl: string,
+): Promise<Record<string, unknown>> {
+	const url = baseUrl.replace(/\/+$/, "");
+	let codeValue = code;
+
+	if (!codeValue) {
+		const resp = await fetch(`${url}/api/v1/auth/email_code/`, {
+			method: "POST",
+			headers: { "Content-Type": "application/json" },
+			body: JSON.stringify({ email }),
+			signal: AbortSignal.timeout(30_000),
+		});
+		if (resp.status === 429) {
+			printError("Too many attempts. Try again in a few minutes.");
+			process.exit(1);
+		}
+		if (!resp.ok) {
+			let detail: string;
+			try {
+				const body = (await resp.json()) as Record<string, unknown>;
+				detail = (body.error ?? body.detail ?? resp.statusText) as string;
+			} catch {
+				detail = resp.statusText;
+			}
+			printError(`Failed to send code: ${detail}`);
+			process.exit(1);
+		}
+
+		printSuccess("Verification code sent! Check your email.");
+
+		if (!process.stdin.isTTY) {
+			printError(
+				"No --code provided and terminal is non-interactive.",
+				"Run: mem0 init --email <email> --code <code>",
+			);
+			process.exit(1);
+		}
+
+		console.log();
+		const entered = await promptLine(`  ${brand("Verification Code")}`);
+		if (!entered) {
+			printError("Code is required.");
+			process.exit(1);
+		}
+		codeValue = entered;
+	}
+
+	const verifyResp = await fetch(`${url}/api/v1/auth/email_code/verify/`, {
+		method: "POST",
+		headers: { "Content-Type": "application/json" },
+		body: JSON.stringify({ email, code: codeValue.trim() }),
+		signal: AbortSignal.timeout(30_000),
+	});
+	if (verifyResp.status === 429) {
+		printError("Too many attempts. Try again in a few minutes.");
+		process.exit(1);
+	}
+	if (!verifyResp.ok) {
+		let detail: string;
+		try {
+			const body = (await verifyResp.json()) as Record<string, unknown>;
+			detail = (body.error ?? body.detail ?? verifyResp.statusText) as string;
+		} catch {
+			detail = verifyResp.statusText;
+		}
+		printError(`Verification failed: ${detail}`);
+		process.exit(1);
+	}
+
+	return verifyResp.json() as Promise<Record<string, unknown>>;
+}
+
+function promptSecret(label: string): Promise<string> {
+	return new Promise((resolve, reject) => {
+		process.stdout.write(label);
+
+		if (process.stdin.isTTY) {
+			process.stdin.setRawMode(true);
+		}
+		process.stdin.resume();
+		process.stdin.setEncoding("utf-8");
+
+		const chars: string[] = [];
+
+		const onData = (key: string) => {
+			for (const ch of key) {
+				if (ch === "\r" || ch === "\n") {
+					cleanup();
+					process.stdout.write("\n");
+					resolve(chars.join(""));
+					return;
+				}
+				if (ch === "\x03") {
+					cleanup();
+					reject(new Error("Interrupted"));
+					return;
+				}
+				if (ch === "\x7f" || ch === "\x08") {
+					// backspace
+					if (chars.length > 0) {
+						chars.pop();
+						process.stdout.write("\b \b");
+					}
+				} else if (ch === "\x15") {
+					// Ctrl+U — clear line
+					process.stdout.write("\b \b".repeat(chars.length));
+					chars.length = 0;
+				} else if (ch >= " ") {
+					chars.push(ch);
+					process.stdout.write("*");
+				}
+			}
+		};
+
+		const cleanup = () => {
+			process.stdin.removeListener("data", onData);
+			if (process.stdin.isTTY) {
+				process.stdin.setRawMode(false);
+			}
+			process.stdin.pause();
+		};
+
+		process.stdin.on("data", onData);
+	});
+}
+
+function promptLine(label: string, defaultValue?: string): Promise<string> {
+	const rl = readline.createInterface({
+		input: process.stdin,
+		output: process.stdout,
+	});
+	const prompt = defaultValue ? `${label} [${defaultValue}]: ` : `${label}: `;
+	return new Promise((resolve) => {
+		rl.question(prompt, (answer) => {
+			rl.close();
+			resolve(answer.trim() || defaultValue || "");
+		});
+	});
+}
+
+async function setupPlatform(config: Mem0Config): Promise<void> {
+	console.log();
+	console.log(
+		`  ${dim("Get your API key at https://app.mem0.ai/dashboard/api-keys")}`,
+	);
+	console.log();
+
+	process.stdout.write(`  ${brand("API Key")}: `);
+	const apiKey = await promptSecret("");
+	if (!apiKey) {
+		printError("API key is required.");
+		process.exit(1);
+	}
+	config.platform.apiKey = apiKey;
+}
+
+async function setupDefaults(config: Mem0Config): Promise<void> {
+	console.log();
+	printInfo("Set default entity IDs (press Enter to skip).\n");
+
+	const _systemUser = process.env.USER || process.env.USERNAME || "mem0-cli";
+	const userId = await promptLine(
+		`  ${brand("Default User ID")} ${dim("(recommended)")}`,
+		_systemUser,
+	);
+	if (userId) config.defaults.userId = userId;
+}
+
+async function validatePlatform(config: Mem0Config): Promise<void> {
+	console.log();
+	printInfo("Validating connection...");
+	try {
+		const backend = new PlatformBackend(config.platform);
+		const status = await backend.status({
+			userId: config.defaults.userId || undefined,
+			agentId: config.defaults.agentId || undefined,
+		});
+		if (status.connected) {
+			printSuccess("Connected to mem0 Platform!");
+		} else {
+			printError(
+				`Could not connect: ${status.error ?? "Unknown error"}`,
+				"Visit https://app.mem0.ai/dashboard/api-keys to get a new key, or run mem0 init again.",
+			);
+		}
+	} catch (e) {
+		printError(`Connection test failed: ${e instanceof Error ? e.message : e}`);
+	}
+}
+
+export async function runInit(
+	opts: {
+		apiKey?: string;
+		userId?: string;
+		email?: string;
+		code?: string;
+		force?: boolean;
+	} = {},
+): Promise<void> {
+	const config = createDefaultConfig();
+	const savedConfig = loadConfig();
+	const baseUrl =
+		process.env.MEM0_BASE_URL ||
+		savedConfig.platform.baseUrl ||
+		DEFAULT_BASE_URL;
+
+	// Guards
+	if (opts.code && !opts.email) {
+		printError("--code requires --email.");
+		process.exit(1);
+	}
+	if (opts.email && opts.apiKey) {
+		printError("Cannot use both --api-key and --email.");
+		process.exit(1);
+	}
+
+	// Warn if an existing config with an API key would be overwritten
+	if (
+		!opts.force &&
+		fs.existsSync(CONFIG_FILE) &&
+		savedConfig.platform.apiKey
+	) {
+		console.log(
+			`\n  ${brand("Existing configuration found")} ${dim(`(API key: ${redactKey(savedConfig.platform.apiKey)})`)}`,
+		);
+		if (process.stdin.isTTY) {
+			const rl = readline.createInterface({
+				input: process.stdin,
+				output: process.stdout,
+			});
+			const answer = await new Promise<string>((resolve) => {
+				rl.question(
+					"  Overwrite existing config? This cannot be undone. [y/N] ",
+					resolve,
+				);
+			});
+			rl.close();
+			if (answer.toLowerCase() !== "y") {
+				printInfo("Cancelled. Use --force to skip this check.");
+				process.exit(0);
+			}
+		} else {
+			printError(
+				"Existing config would be overwritten.",
+				"Use --force to overwrite.",
+			);
+			process.exit(1);
+		}
+	}
+
+	// ── Email login flow ──────────────────────────────────────────────────────
+	if (opts.email) {
+		const email = opts.email.trim().toLowerCase();
+		validateEmail(email);
+
+		printBanner();
+		console.log();
+		printInfo(`Logging in as ${email}...\n`);
+
+		const result = await emailLogin(email, opts.code, baseUrl);
+
+		const apiKeyVal = result.api_key as string | undefined;
+		if (!apiKeyVal) {
+			printError(
+				"Auth succeeded but no API key was returned. Contact support.",
+			);
+			process.exit(1);
+		}
+
+		config.platform.apiKey = apiKeyVal;
+		config.platform.baseUrl = baseUrl;
+		config.defaults.userId =
+			opts.userId || process.env.USER || process.env.USERNAME || "mem0-cli";
+
+		saveConfig(config);
+		console.log();
+		printSuccess("Authenticated! Configuration saved to ~/.mem0/config.json");
+		console.log();
+		console.log(`  ${dim("Get started:")}`);
+		console.log(`  ${dim('  mem0 add "I prefer dark mode"')}`);
+		console.log(`  ${dim('  mem0 search "preferences"')}`);
+		console.log();
+		return;
+	}
+
+	// ── API key flow ──────────────────────────────────────────────────────────
+
+	// Non-TTY: resolve defaults so partial flags work in pipelines / CI
+	if (!process.stdin.isTTY) {
+		if (!opts.apiKey) {
+			printError(
+				"Non-interactive terminal detected and --api-key is required.",
+				"Usage: mem0 init --api-key <key> [--user-id <id>]",
+			);
+			process.exit(1);
+		}
+		opts.userId =
+			opts.userId || process.env.USER || process.env.USERNAME || "mem0-cli";
+	}
+
+	// Non-interactive: both flags provided
+	if (opts.apiKey && opts.userId) {
+		config.platform.apiKey = opts.apiKey;
+		config.defaults.userId = opts.userId;
+		await validatePlatform(config);
+		saveConfig(config);
+		printSuccess("Configuration saved to ~/.mem0/config.json");
+		return;
+	}
+
+	printBanner();
+	console.log();
+	printInfo("Welcome! Let's set up your mem0 CLI.\n");
+
+	// Use provided API key or prompt
+	if (opts.apiKey) {
+		config.platform.apiKey = opts.apiKey;
+	} else {
+		console.log(`  ${brand("How would you like to authenticate?")}`);
+		console.log(`  ${dim("1.")} Login with email ${dim("(recommended)")}`);
+		console.log(`  ${dim("2.")} Enter API key manually`);
+		console.log();
+
+		const choice = await promptLine(`  ${brand("Choose")} [1/2]`, "1");
+
+		if (choice === "1") {
+			console.log();
+			const emailAddr = await promptLine(`  ${brand("Email")}`);
+			if (!emailAddr) {
+				printError("Email is required.");
+				process.exit(1);
+			}
+
+			const email = emailAddr.trim().toLowerCase();
+			validateEmail(email);
+			printInfo(`Logging in as ${email}...\n`);
+
+			const result = await emailLogin(email, undefined, baseUrl);
+
+			const apiKeyVal = result.api_key as string | undefined;
+			if (!apiKeyVal) {
+				printError(
+					"Auth succeeded but no API key was returned. Contact support.",
+				);
+				process.exit(1);
+			}
+
+			config.platform.apiKey = apiKeyVal;
+			config.platform.baseUrl = baseUrl;
+			config.defaults.userId =
+				opts.userId || process.env.USER || process.env.USERNAME || "mem0-cli";
+
+			saveConfig(config);
+			console.log();
+			printSuccess("Authenticated! Configuration saved to ~/.mem0/config.json");
+			console.log();
+			console.log(`  ${dim("Get started:")}`);
+			console.log(`  ${dim('  mem0 add "I prefer dark mode"')}`);
+			console.log(`  ${dim('  mem0 search "preferences"')}`);
+			console.log();
+			return;
+		}
+
+		// choice === "2": fall through to API key prompt
+		await setupPlatform(config);
+	}
+
+	// Use provided user ID or prompt
+	if (opts.userId) {
+		config.defaults.userId = opts.userId;
+	} else {
+		await setupDefaults(config);
+	}
+
+	await validatePlatform(config);
+
+	saveConfig(config);
+	console.log();
+	printSuccess("Configuration saved to ~/.mem0/config.json");
+	console.log();
+	console.log(`  ${dim("Get started:")}`);
+	if (config.defaults.userId) {
+		console.log(`  ${dim('  mem0 add "I prefer dark mode"')}`);
+		console.log(`  ${dim('  mem0 search "preferences"')}`);
+	} else {
+		console.log(`  ${dim('  mem0 add "I prefer dark mode" --user-id alice')}`);
+		console.log(`  ${dim('  mem0 search "preferences" --user-id alice')}`);
+	}
+	console.log();
+}

cli/node/src/commands/memory.ts

@@ -0,0 +1,709 @@
+/**
+ * Memory CRUD commands: add, search, get, list, update, delete.
+ */
+
+import fs from "node:fs";
+import type { Backend } from "../backend/base.js";
+import {
+	printError,
+	printInfo,
+	printScope,
+	printSuccess,
+	timedStatus,
+} from "../branding.js";
+import {
+	formatAddResult,
+	formatAgentEnvelope,
+	formatJson,
+	formatJsonEnvelope,
+	formatMemoriesTable,
+	formatMemoriesText,
+	formatSingleMemory,
+	printResultSummary,
+} from "../output.js";
+import { isAgentMode, setCurrentCommand } from "../state.js";
+
+/** True only when stdin is an actual pipe or file redirect — never in agent mode. */
+function _stdinIsPiped(): boolean {
+	if (isAgentMode()) return false;
+	try {
+		const stat = fs.fstatSync(0);
+		return stat.isFIFO() || stat.isFile();
+	} catch {
+		return false;
+	}
+}
+
+export async function cmdAdd(
+	backend: Backend,
+	text: string | undefined,
+	opts: {
+		userId?: string;
+		agentId?: string;
+		appId?: string;
+		runId?: string;
+		messages?: string;
+		file?: string;
+		metadata?: string;
+		immutable: boolean;
+		noInfer: boolean;
+		expires?: string;
+		categories?: string;
+		enableGraph: boolean;
+		output: string;
+	},
+): Promise<void> {
+	setCurrentCommand("add");
+	let msgs: Record<string, unknown>[] | undefined;
+	let content = text;
+
+	// Read from file
+	if (opts.file) {
+		try {
+			const raw = fs.readFileSync(opts.file, "utf-8");
+			msgs = JSON.parse(raw);
+		} catch (e) {
+			printError(`Failed to read file: ${e instanceof Error ? e.message : e}`);
+			process.exit(1);
+		}
+	}
+	// Parse messages JSON
+	else if (opts.messages) {
+		try {
+			msgs = JSON.parse(opts.messages);
+		} catch (e) {
+			printError(
+				`Invalid JSON in --messages: ${e instanceof Error ? e.message : e}`,
+			);
+			process.exit(1);
+		}
+	}
+	// Read from stdin only if stdin is an actual pipe or file redirect
+	else if (!content && _stdinIsPiped()) {
+		content = fs.readFileSync(0, "utf-8").trim();
+	}
+
+	if (content !== undefined && content.trim() === "") {
+		printError("Content cannot be empty.");
+		process.exit(1);
+	}
+	if (!content && !msgs) {
+		printError(
+			"No content provided. Pass text, --messages, --file, or pipe via stdin.",
+		);
+		process.exit(1);
+	}
+
+	// Validate --expires
+	if (opts.expires) {
+		if (!/^\d{4}-\d{2}-\d{2}$/.test(opts.expires)) {
+			printError(
+				"Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31).",
+			);
+			process.exit(1);
+		}
+		if (new Date(opts.expires) <= new Date()) {
+			printError("--expires date must be in the future.");
+			process.exit(1);
+		}
+	}
+
+	let meta: Record<string, unknown> | undefined;
+	if (opts.metadata) {
+		try {
+			meta = JSON.parse(opts.metadata);
+		} catch {
+			printError("Invalid JSON in --metadata.");
+			process.exit(1);
+		}
+	}
+
+	let cats: string[] | undefined;
+	if (opts.categories) {
+		try {
+			cats = JSON.parse(opts.categories);
+		} catch {
+			cats = opts.categories.split(",").map((c) => c.trim());
+		}
+	}
+
+	let result: Record<string, unknown>;
+	try {
+		result = await timedStatus("Adding memory...", async () => {
+			return backend.add(content ?? undefined, msgs, {
+				userId: opts.userId,
+				agentId: opts.agentId,
+				appId: opts.appId,
+				runId: opts.runId,
+				metadata: meta,
+				immutable: opts.immutable,
+				infer: !opts.noInfer,
+				expires: opts.expires,
+				categories: cats,
+				enableGraph: opts.enableGraph,
+			});
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+
+	if (opts.output === "quiet") return;
+
+	// Deduplicate PENDING entries sharing the same event_id across all output modes
+	const rawResults: Record<string, unknown>[] = Array.isArray(result)
+		? result
+		: ((result.results as Record<string, unknown>[]) ?? [result]);
+	const seenEvents = new Set<string>();
+	const deduped: Record<string, unknown>[] = [];
+	for (const r of rawResults) {
+		if (r.status === "PENDING") {
+			const eid = (r.event_id as string) ?? "";
+			if (eid && seenEvents.has(eid)) continue;
+			if (eid) seenEvents.add(eid);
+		}
+		deduped.push(r);
+	}
+	// Write back so downstream formatters see deduplicated data
+	const dedupedResult: Record<string, unknown> = Array.isArray(result)
+		? (deduped as unknown as Record<string, unknown>)
+		: { ...result, results: deduped };
+
+	if (opts.output === "agent") {
+		const scope: Record<string, string | undefined> = {
+			user_id: opts.userId,
+			agent_id: opts.agentId,
+			app_id: opts.appId,
+			run_id: opts.runId,
+		};
+		formatAgentEnvelope({
+			command: "add",
+			data: deduped,
+			scope,
+			count: deduped.length,
+		});
+		return;
+	}
+
+	if (opts.output === "json") {
+		formatAddResult(dedupedResult, opts.output);
+		return;
+	}
+
+	console.log();
+	printScope({
+		user_id: opts.userId,
+		agent_id: opts.agentId,
+		app_id: opts.appId,
+		run_id: opts.runId,
+	});
+	const count = deduped.length;
+	const allPending = count > 0 && deduped.every((r) => r.status === "PENDING");
+	if (allPending) {
+		printSuccess(
+			`Memory queued — ${count} event${count !== 1 ? "s" : ""} pending`,
+		);
+	} else {
+		printSuccess(
+			`Memory processed — ${count} memor${count === 1 ? "y" : "ies"} extracted`,
+		);
+	}
+	formatAddResult(dedupedResult, opts.output);
+}
+
+export async function cmdSearch(
+	backend: Backend,
+	query: string | undefined,
+	opts: {
+		userId?: string;
+		agentId?: string;
+		appId?: string;
+		runId?: string;
+		topK: number;
+		threshold: number;
+		rerank: boolean;
+		keyword: boolean;
+		filterJson?: string;
+		fields?: string;
+		enableGraph: boolean;
+		output: string;
+	},
+): Promise<void> {
+	setCurrentCommand("search");
+	if (!query) {
+		printError("No query provided. Pass a query argument or pipe via stdin.");
+		process.exit(1);
+	}
+
+	let filters: Record<string, unknown> | undefined;
+	if (opts.filterJson) {
+		try {
+			filters = JSON.parse(opts.filterJson);
+		} catch {
+			printError("Invalid JSON in --filter.");
+			process.exit(1);
+		}
+	}
+
+	const fieldList = opts.fields
+		? opts.fields.split(",").map((f) => f.trim())
+		: undefined;
+
+	if (opts.topK < 1) {
+		printError("--top-k must be >= 1.");
+		process.exit(1);
+	}
+	if (opts.threshold < 0 || opts.threshold > 1) {
+		printError("--threshold must be between 0.0 and 1.0.");
+		process.exit(1);
+	}
+
+	const start = performance.now();
+	let results: Record<string, unknown>[];
+	try {
+		results = await timedStatus("Searching memories...", async () => {
+			// biome-ignore lint/style/noNonNullAssertion: guarded by process.exit above
+			return backend.search(query!, {
+				userId: opts.userId,
+				agentId: opts.agentId,
+				appId: opts.appId,
+				runId: opts.runId,
+				topK: opts.topK,
+				threshold: opts.threshold,
+				rerank: opts.rerank,
+				keyword: opts.keyword,
+				filters,
+				fields: fieldList,
+				enableGraph: opts.enableGraph,
+			});
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "quiet") return;
+
+	if (opts.output === "agent") {
+		const scope: Record<string, string | undefined> = {
+			user_id: opts.userId,
+			agent_id: opts.agentId,
+			app_id: opts.appId,
+			run_id: opts.runId,
+		};
+		formatAgentEnvelope({
+			command: "search",
+			data: results,
+			scope,
+			count: results.length,
+			durationMs: Math.round(elapsed * 1000),
+		});
+		return;
+	}
+
+	if (opts.output === "json") {
+		formatJson(results);
+	} else if (opts.output === "table") {
+		if (results.length > 0) {
+			formatMemoriesTable(results, { showScore: true });
+			printResultSummary({
+				count: results.length,
+				durationSecs: elapsed,
+				scopeIds: { user_id: opts.userId, agent_id: opts.agentId },
+			});
+		} else {
+			console.log();
+			printInfo("No memories found matching your query.");
+			console.log();
+		}
+	} else {
+		if (results.length > 0) {
+			formatMemoriesText(results);
+			printResultSummary({
+				count: results.length,
+				durationSecs: elapsed,
+				scopeIds: { user_id: opts.userId, agent_id: opts.agentId },
+			});
+		} else {
+			console.log();
+			printInfo("No memories found matching your query.");
+			console.log();
+		}
+	}
+}
+
+export async function cmdGet(
+	backend: Backend,
+	memoryId: string,
+	opts: { output: string },
+): Promise<void> {
+	setCurrentCommand("get");
+	let result: Record<string, unknown>;
+	try {
+		result = await timedStatus("Fetching memory...", async () => {
+			return backend.get(memoryId);
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+
+	if (opts.output === "agent") {
+		formatAgentEnvelope({ command: "get", data: result });
+	} else {
+		formatSingleMemory(result, opts.output);
+	}
+}
+
+export async function cmdList(
+	backend: Backend,
+	opts: {
+		userId?: string;
+		agentId?: string;
+		appId?: string;
+		runId?: string;
+		page: number;
+		pageSize: number;
+		category?: string;
+		after?: string;
+		before?: string;
+		enableGraph: boolean;
+		output: string;
+	},
+): Promise<void> {
+	setCurrentCommand("list");
+	if (opts.pageSize < 1) {
+		printError("--page-size must be >= 1.");
+		process.exit(1);
+	}
+	if (opts.page < 1) {
+		printError("--page must be >= 1.");
+		process.exit(1);
+	}
+
+	const start = performance.now();
+	let results: Record<string, unknown>[];
+	try {
+		results = await timedStatus("Listing memories...", async () => {
+			return backend.listMemories({
+				userId: opts.userId,
+				agentId: opts.agentId,
+				appId: opts.appId,
+				runId: opts.runId,
+				page: opts.page,
+				pageSize: opts.pageSize,
+				category: opts.category,
+				after: opts.after,
+				before: opts.before,
+				enableGraph: opts.enableGraph,
+			});
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "quiet") return;
+
+	if (opts.output === "agent" || opts.output === "json") {
+		const scope: Record<string, string | undefined> = {
+			user_id: opts.userId,
+			agent_id: opts.agentId,
+			app_id: opts.appId,
+			run_id: opts.runId,
+		};
+		formatAgentEnvelope({
+			command: "list",
+			data: results,
+			scope,
+			count: results.length,
+			durationMs: Math.round(elapsed * 1000),
+		});
+	} else if (opts.output === "table") {
+		if (results.length > 0) {
+			formatMemoriesTable(results);
+			printResultSummary({
+				count: results.length,
+				durationSecs: elapsed,
+				page: opts.page,
+				scopeIds: { user_id: opts.userId, agent_id: opts.agentId },
+			});
+		} else {
+			console.log();
+			printInfo("No memories found.");
+			console.log();
+		}
+	} else {
+		if (results.length > 0) {
+			formatMemoriesText(results, "memories");
+			printResultSummary({
+				count: results.length,
+				durationSecs: elapsed,
+				page: opts.page,
+				scopeIds: { user_id: opts.userId, agent_id: opts.agentId },
+			});
+		} else {
+			console.log();
+			printInfo("No memories found.");
+			console.log();
+		}
+	}
+}
+
+export async function cmdUpdate(
+	backend: Backend,
+	memoryId: string,
+	text: string | undefined,
+	opts: { metadata?: string; output: string },
+): Promise<void> {
+	setCurrentCommand("update");
+	let meta: Record<string, unknown> | undefined;
+	if (opts.metadata) {
+		try {
+			meta = JSON.parse(opts.metadata);
+		} catch {
+			printError("Invalid JSON in --metadata.");
+			process.exit(1);
+		}
+	}
+
+	const start = performance.now();
+	let result: Record<string, unknown>;
+	try {
+		result = await timedStatus("Updating memory...", async () => {
+			return backend.update(memoryId, text, meta);
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "agent") {
+		formatAgentEnvelope({
+			command: "update",
+			data: result,
+			durationMs: Math.round(elapsed * 1000),
+		});
+	} else if (opts.output === "json") {
+		formatJson(result);
+	} else if (opts.output !== "quiet") {
+		printSuccess(
+			`Memory ${memoryId.slice(0, 8)} updated (${elapsed.toFixed(2)}s)`,
+		);
+	}
+}
+
+export async function cmdDelete(
+	backend: Backend,
+	memoryId: string,
+	opts: { output: string; dryRun?: boolean; force?: boolean },
+): Promise<void> {
+	setCurrentCommand("delete");
+	if (opts.dryRun) {
+		let mem: Record<string, unknown>;
+		try {
+			mem = await backend.get(memoryId);
+		} catch (e) {
+			printError(e instanceof Error ? e.message : String(e));
+			process.exit(1);
+		}
+		const text = (mem.memory ?? mem.text ?? "") as string;
+		printInfo(`Would delete memory ${memoryId.slice(0, 8)}: ${text}`);
+		printInfo("No changes made.");
+		return;
+	}
+
+	const start = performance.now();
+	let result: Record<string, unknown>;
+	try {
+		result = await timedStatus("Deleting...", async () => {
+			return backend.delete(memoryId);
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "agent") {
+		formatAgentEnvelope({
+			command: "delete",
+			data: { id: memoryId, deleted: true },
+			durationMs: Math.round(elapsed * 1000),
+		});
+	} else if (opts.output === "json") {
+		formatJson(result);
+	} else if (opts.output !== "quiet") {
+		printSuccess(
+			`Memory ${memoryId.slice(0, 8)} deleted (${elapsed.toFixed(2)}s)`,
+		);
+	}
+}
+
+export async function cmdDeleteAll(
+	backend: Backend,
+	opts: {
+		force: boolean;
+		dryRun?: boolean;
+		all?: boolean;
+		userId?: string;
+		agentId?: string;
+		appId?: string;
+		runId?: string;
+		output: string;
+	},
+): Promise<void> {
+	setCurrentCommand("delete-all");
+	const { isAgentMode } = await import("../state.js");
+	if (isAgentMode() && !opts.force) {
+		printError("Destructive operation requires --force in agent mode.");
+		process.exit(1);
+	}
+	if (opts.all) {
+		// Project-wide wipe using wildcard entity IDs
+		// Note: --dry-run is ignored here because the API has no count-before-delete endpoint.
+
+		if (!opts.force) {
+			const readline = await import("node:readline");
+			const rl = readline.createInterface({
+				input: process.stdin,
+				output: process.stdout,
+			});
+			const answer = await new Promise<string>((resolve) => {
+				rl.question(
+					"\n  \u26a0  Delete ALL memories across the ENTIRE project? This cannot be undone. [y/N] ",
+					resolve,
+				);
+			});
+			rl.close();
+			if (answer.toLowerCase() !== "y") {
+				printInfo("Cancelled.");
+				process.exit(0);
+			}
+		}
+
+		const start = performance.now();
+		let result: Record<string, unknown>;
+		try {
+			result = await timedStatus(
+				"Deleting all memories project-wide...",
+				async () => {
+					return backend.delete(undefined, {
+						all: true,
+						userId: "*",
+						agentId: "*",
+						appId: "*",
+						runId: "*",
+					});
+				},
+			);
+		} catch (e) {
+			printError(e instanceof Error ? e.message : String(e));
+			process.exit(1);
+		}
+		const elapsed = (performance.now() - start) / 1000;
+
+		if (opts.output === "agent") {
+			formatAgentEnvelope({
+				command: "delete-all",
+				data: result,
+				durationMs: Math.round(elapsed * 1000),
+			});
+		} else if (opts.output === "json") {
+			formatJson(result);
+		} else if (opts.output !== "quiet") {
+			if (result.message) {
+				printInfo(
+					"Deletion started. Memories will be removed in the background.",
+				);
+			} else {
+				printSuccess(`All project memories deleted (${elapsed.toFixed(2)}s)`);
+			}
+		}
+		return;
+	}
+
+	if (opts.dryRun) {
+		let memories: Record<string, unknown>[];
+		try {
+			memories = await backend.listMemories({
+				userId: opts.userId,
+				agentId: opts.agentId,
+				appId: opts.appId,
+				runId: opts.runId,
+			});
+		} catch (e) {
+			printError(e instanceof Error ? e.message : String(e));
+			process.exit(1);
+		}
+		printInfo(`Would delete ${memories.length} memories.`);
+		printInfo("No changes made.");
+		return;
+	}
+
+	if (!opts.force) {
+		const scopeParts: string[] = [];
+		if (opts.userId) scopeParts.push(`user=${opts.userId}`);
+		if (opts.agentId) scopeParts.push(`agent=${opts.agentId}`);
+		if (opts.appId) scopeParts.push(`app=${opts.appId}`);
+		if (opts.runId) scopeParts.push(`run=${opts.runId}`);
+		const scope =
+			scopeParts.length > 0 ? scopeParts.join(", ") : "ALL entities";
+
+		const readline = await import("node:readline");
+		const rl = readline.createInterface({
+			input: process.stdin,
+			output: process.stdout,
+		});
+		const answer = await new Promise<string>((resolve) => {
+			rl.question(
+				`\n  \u26a0  Delete ALL memories for ${scope}? This cannot be undone. [y/N] `,
+				resolve,
+			);
+		});
+		rl.close();
+		if (answer.toLowerCase() !== "y") {
+			printInfo("Cancelled.");
+			process.exit(0);
+		}
+	}
+
+	const start = performance.now();
+	let result: Record<string, unknown>;
+	try {
+		result = await timedStatus("Deleting all memories...", async () => {
+			return backend.delete(undefined, {
+				all: true,
+				userId: opts.userId,
+				agentId: opts.agentId,
+				appId: opts.appId,
+				runId: opts.runId,
+			});
+		});
+	} catch (e) {
+		printError(e instanceof Error ? e.message : String(e));
+		process.exit(1);
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "agent") {
+		formatAgentEnvelope({
+			command: "delete-all",
+			data: result,
+			durationMs: Math.round(elapsed * 1000),
+		});
+	} else if (opts.output === "json") {
+		formatJson(result);
+	} else if (opts.output !== "quiet") {
+		if (result.message) {
+			printInfo(
+				"Deletion started. Memories will be removed in the background.",
+			);
+		} else {
+			printSuccess(`All matching memories deleted (${elapsed.toFixed(2)}s)`);
+		}
+	}
+}

cli/node/src/commands/utils.ts

@@ -0,0 +1,155 @@
+/**
+ * Utility commands: status, version, import.
+ */
+
+import fs from "node:fs";
+import boxen from "boxen";
+import type { Backend } from "../backend/base.js";
+import { colors, printError, printSuccess, timedStatus } from "../branding.js";
+import { formatAgentEnvelope, formatJsonEnvelope } from "../output.js";
+import { setCurrentCommand } from "../state.js";
+import { CLI_VERSION } from "../version.js";
+
+const { brand, dim, success, error: errorColor } = colors;
+
+export async function cmdStatus(
+	backend: Backend,
+	opts: { userId?: string; agentId?: string; output?: string } = {},
+): Promise<void> {
+	setCurrentCommand("status");
+	const start = performance.now();
+	let result: Record<string, unknown>;
+	try {
+		result = await timedStatus("Checking connection...", async () => {
+			return backend.status({ userId: opts.userId, agentId: opts.agentId });
+		});
+	} catch (e) {
+		result = {
+			connected: false,
+			error: e instanceof Error ? e.message : String(e),
+		};
+	}
+	const elapsed = (performance.now() - start) / 1000;
+
+	if (opts.output === "agent" || opts.output === "json") {
+		formatAgentEnvelope({
+			command: "status",
+			data: {
+				connected: result.connected,
+				backend: result.backend ?? null,
+				base_url: result.base_url ?? null,
+			},
+			durationMs: Math.round(elapsed * 1000),
+		});
+		return;
+	}
+
+	const lines: string[] = [];
+	if (result.connected) {
+		lines.push(`  ${success("\u25cf")} Connected`);
+	} else {
+		lines.push(`  ${errorColor("\u25cf")} Disconnected`);
+	}
+
+	lines.push(`  ${dim("Backend:")}  ${result.backend ?? "?"}`);
+	if (result.base_url) {
+		lines.push(`  ${dim("API URL:")}  ${result.base_url}`);
+	}
+	if (result.error) {
+		lines.push(`  ${errorColor("Error:")}    ${result.error}`);
+		if (String(result.error).includes("Authentication failed")) {
+			lines.push("");
+			lines.push(
+				`  ${dim("Run")} ${brand("mem0 init")} ${dim("to reconfigure your API key")}`,
+			);
+			lines.push(
+				`  ${dim("Get a key at")} ${brand("https://app.mem0.ai/dashboard/api-keys")}`,
+			);
+		}
+	}
+	lines.push(`  ${dim("Latency:")}  ${elapsed.toFixed(2)}s`);
+
+	const content = lines.join("\n");
+	console.log();
+	console.log(
+		boxen(content, {
+			title: brand("Connection Status"),
+			titleAlignment: "left",
+			borderColor: "magenta",
+			padding: 1,
+		}),
+	);
+	console.log();
+}
+
+export function cmdVersion(): void {
+	console.log(`  ${brand("◆ Mem0")} CLI v${CLI_VERSION}`);
+}
+
+export async function cmdImport(
+	backend: Backend,
+	filePath: string,
+	opts: { userId?: string; agentId?: string; output?: string },
+): Promise<void> {
+	setCurrentCommand("import");
+	let data: Record<string, unknown>[];
+	try {
+		const raw = fs.readFileSync(filePath, "utf-8");
+		const parsed = JSON.parse(raw);
+		data = Array.isArray(parsed) ? parsed : [parsed];
+	} catch (e) {
+		printError(`Failed to read file: ${e instanceof Error ? e.message : e}`);
+		process.exit(1);
+	}
+
+	let added = 0;
+	let failed = 0;
+	const start = performance.now();
+
+	for (let i = 0; i < data.length; i++) {
+		const item = data[i];
+		const content = (item.memory ?? item.text ?? item.content ?? "") as string;
+		if (!content) {
+			failed++;
+			continue;
+		}
+
+		try {
+			await backend.add(content, undefined, {
+				userId: opts.userId ?? (item.user_id as string | undefined),
+				agentId: opts.agentId ?? (item.agent_id as string | undefined),
+				metadata: item.metadata as Record<string, unknown> | undefined,
+			});
+			added++;
+		} catch {
+			failed++;
+		}
+
+		// Simple progress indicator
+		if ((i + 1) % 10 === 0 || i === data.length - 1) {
+			process.stdout.write(
+				`\r  ${dim(`Importing memories... ${i + 1}/${data.length}`)}`,
+			);
+		}
+	}
+
+	const elapsed = (performance.now() - start) / 1000;
+	console.log(); // Clear progress line
+
+	if (opts.output === "agent" || opts.output === "json") {
+		formatAgentEnvelope({
+			command: "import",
+			data: {
+				added,
+				failed,
+			},
+			durationMs: Math.round(elapsed * 1000),
+		});
+		return;
+	}
+
+	printSuccess(`Imported ${added} memories (${elapsed.toFixed(2)}s)`);
+	if (failed > 0) {
+		printError(`${failed} memories failed to import.`);
+	}
+}

cli/node/src/config.ts

@@ -0,0 +1,175 @@
+/**
+ * Configuration management for mem0 CLI.
+ *
+ * Config precedence (highest to lowest):
+ * 1. CLI flags (--api-key, --base-url, etc.)
+ * 2. Environment variables (MEM0_API_KEY, etc.)
+ * 3. Config file (~/.mem0/config.json)
+ * 4. Defaults
+ */
+
+import fs from "node:fs";
+import os from "node:os";
+import path from "node:path";
+
+export const CONFIG_DIR = path.join(os.homedir(), ".mem0");
+export const CONFIG_FILE = path.join(CONFIG_DIR, "config.json");
+export const DEFAULT_BASE_URL = "https://api.mem0.ai";
+export const CONFIG_VERSION = 1;
+
+export interface PlatformConfig {
+	apiKey: string;
+	baseUrl: string;
+}
+
+export interface DefaultsConfig {
+	userId: string;
+	agentId: string;
+	appId: string;
+	runId: string;
+	enableGraph: boolean;
+}
+
+export interface Mem0Config {
+	version: number;
+	defaults: DefaultsConfig;
+	platform: PlatformConfig;
+}
+
+export function createDefaultConfig(): Mem0Config {
+	return {
+		version: CONFIG_VERSION,
+		defaults: {
+			userId: "",
+			agentId: "",
+			appId: "",
+			runId: "",
+			enableGraph: false,
+		},
+		platform: {
+			apiKey: "",
+			baseUrl: DEFAULT_BASE_URL,
+		},
+	};
+}
+
+export function ensureConfigDir(): string {
+	fs.mkdirSync(CONFIG_DIR, { recursive: true, mode: 0o700 });
+	return CONFIG_DIR;
+}
+
+export function loadConfig(): Mem0Config {
+	const config = createDefaultConfig();
+
+	if (fs.existsSync(CONFIG_FILE)) {
+		const raw = fs.readFileSync(CONFIG_FILE, "utf-8");
+		const data = JSON.parse(raw);
+
+		config.version = data.version ?? CONFIG_VERSION;
+
+		const plat = data.platform ?? {};
+		config.platform.apiKey = plat.api_key ?? "";
+		config.platform.baseUrl = plat.base_url ?? DEFAULT_BASE_URL;
+
+		const defaults = data.defaults ?? {};
+		config.defaults.userId = defaults.user_id ?? "";
+		config.defaults.agentId = defaults.agent_id ?? "";
+		config.defaults.appId = defaults.app_id ?? "";
+		config.defaults.runId = defaults.run_id ?? "";
+		config.defaults.enableGraph = defaults.enable_graph ?? false;
+	}
+
+	// Environment variable overrides
+	if (process.env.MEM0_API_KEY)
+		config.platform.apiKey = process.env.MEM0_API_KEY;
+	if (process.env.MEM0_BASE_URL)
+		config.platform.baseUrl = process.env.MEM0_BASE_URL;
+	if (process.env.MEM0_USER_ID)
+		config.defaults.userId = process.env.MEM0_USER_ID;
+	if (process.env.MEM0_AGENT_ID)
+		config.defaults.agentId = process.env.MEM0_AGENT_ID;
+	if (process.env.MEM0_APP_ID) config.defaults.appId = process.env.MEM0_APP_ID;
+	if (process.env.MEM0_RUN_ID) config.defaults.runId = process.env.MEM0_RUN_ID;
+	if (process.env.MEM0_ENABLE_GRAPH) {
+		config.defaults.enableGraph = ["true", "1", "yes"].includes(
+			process.env.MEM0_ENABLE_GRAPH.toLowerCase(),
+		);
+	}
+
+	return config;
+}
+
+export function saveConfig(config: Mem0Config): void {
+	ensureConfigDir();
+
+	const data = {
+		version: config.version,
+		defaults: {
+			user_id: config.defaults.userId,
+			agent_id: config.defaults.agentId,
+			app_id: config.defaults.appId,
+			run_id: config.defaults.runId,
+			enable_graph: config.defaults.enableGraph,
+		},
+		platform: {
+			api_key: config.platform.apiKey,
+			base_url: config.platform.baseUrl,
+		},
+	};
+
+	fs.writeFileSync(CONFIG_FILE, JSON.stringify(data, null, 2));
+	fs.chmodSync(CONFIG_FILE, 0o600);
+}
+
+export function redactKey(key: string): string {
+	if (!key) return "(not set)";
+	if (key.length <= 8) return `${key.slice(0, 2)}***`;
+	return `${key.slice(0, 4)}...${key.slice(-4)}`;
+}
+
+/** Key map from dotted config path to the config object fields. */
+const KEY_MAP: Record<string, [keyof Mem0Config, string]> = {
+	"platform.api_key": ["platform", "apiKey"],
+	"platform.base_url": ["platform", "baseUrl"],
+	"defaults.user_id": ["defaults", "userId"],
+	"defaults.agent_id": ["defaults", "agentId"],
+	"defaults.app_id": ["defaults", "appId"],
+	"defaults.run_id": ["defaults", "runId"],
+	"defaults.enable_graph": ["defaults", "enableGraph"],
+	// Short-form aliases
+	api_key: ["platform", "apiKey"],
+	base_url: ["platform", "baseUrl"],
+	user_id: ["defaults", "userId"],
+	agent_id: ["defaults", "agentId"],
+	app_id: ["defaults", "appId"],
+	run_id: ["defaults", "runId"],
+	enable_graph: ["defaults", "enableGraph"],
+};
+
+export function getNestedValue(config: Mem0Config, dottedKey: string): unknown {
+	const mapping = KEY_MAP[dottedKey];
+	if (!mapping) return undefined;
+	const [section, field] = mapping;
+	return (config[section] as unknown as Record<string, unknown>)[field];
+}
+
+export function setNestedValue(
+	config: Mem0Config,
+	dottedKey: string,
+	value: string,
+): boolean {
+	const mapping = KEY_MAP[dottedKey];
+	if (!mapping) return false;
+	const [section, field] = mapping;
+	const obj = config[section] as unknown as Record<string, unknown>;
+
+	const current = obj[field];
+	if (typeof current === "boolean") {
+		obj[field] = ["true", "1", "yes"].includes(value.toLowerCase());
+	} else if (typeof current === "number") {
+		obj[field] = Number.parseInt(value, 10);
+	} else {
+		obj[field] = value;
+	}
+	return true;
+}

cli/node/src/globals.d.ts

@@ -0,0 +1,2 @@
+/** Injected by tsup at build time from package.json version field. Undefined in dev/test. */
+declare const __CLI_VERSION__: string | undefined;

cli/node/src/help.ts

@@ -0,0 +1,378 @@
+/**
+ * Rich-style help formatter for Commander.js that matches the Python CLI's
+ * Typer + Rich output (rounded box panels, brand purple, grouped options).
+ */
+
+import chalk from "chalk";
+import type { Argument, Command, Help, Option } from "commander";
+// Colors imported from chalk directly to match Typer/Rich defaults
+
+// ── Colors (matching Typer/Rich defaults) ────────────────────────────────
+
+const cyanBold = chalk.cyan.bold; // option flags, command names
+const greenBold = chalk.green.bold; // switch flags (boolean --force etc)
+const yellowBold = chalk.yellow.bold; // metavar <value>
+const yellow = chalk.yellow; // "Usage:" label
+const bold = chalk.bold; // command name in usage
+const dim = chalk.dim; // defaults, descriptions
+const dimBorder = chalk.dim; // panel borders
+
+// ── Strip ANSI ───────────────────────────────────────────────────────────
+
+// biome-ignore lint/suspicious/noControlCharactersInRegex: ANSI escape sequence is intentional
+const ANSI_RE = /\x1b\[[0-9;]*m/g;
+
+function stripAnsi(str: string): number {
+	return str.replace(ANSI_RE, "").length;
+}
+
+// ── Command display order (matches Python CLI) ──────────────────────────
+
+/** Commands grouped into panels, matching Python CLI's rich_help_panel. */
+const COMMAND_GROUPS: { panel: string; commands: string[] }[] = [
+	{
+		panel: "Memory",
+		commands: ["add", "search", "get", "list", "update", "delete"],
+	},
+	{
+		panel: "Management",
+		commands: ["init", "status", "import", "help", "entity", "event", "config"],
+	},
+];
+
+/** Flat order derived from COMMAND_GROUPS. */
+const COMMAND_ORDER: string[] = COMMAND_GROUPS.flatMap((g) => g.commands);
+
+// ── Option-to-panel mapping (derived from Python's rich_help_panel) ─────
+
+const OPTION_PANELS: Record<string, Record<string, string>> = {
+	add: {
+		"--user-id": "Scope",
+		"--agent-id": "Scope",
+		"--app-id": "Scope",
+		"--run-id": "Scope",
+		"--output": "Output",
+		"--api-key": "Connection",
+		"--base-url": "Connection",
+	},
+	search: {
+		"--user-id": "Scope",
+		"--agent-id": "Scope",
+		"--app-id": "Scope",
+		"--run-id": "Scope",
+		"--top-k": "Search",
+		"--threshold": "Search",
+		"--rerank": "Search",
+		"--keyword": "Search",
+		"--filter": "Search",
+		"--fields": "Search",
+		"--graph": "Search",
+		"--no-graph": "Search",
+		"--output": "Output",
+		"--api-key": "Connection",
+		"--base-url": "Connection",
+	},
+	get: {
+		"--output": "Output",
+		"--api-key": "Connection",
+		"--base-url": "Connection",
+	},
+	list: {
+		"--user-id": "Scope",
+		"--agent-id": "Scope",
+		"--app-id": "Scope",
+		"--run-id": "Scope",
+		"--page": "Pagination",
+		"--page-size": "Pagination",
+		"--category": "Filters",
+		"--after": "Filters",
+		"--before": "Filters",
+		"--graph": "Filters",
+		"--no-graph": "Filters",
+		"--output": "Output",
+		"--api-key": "Connection",
+		"--base-url": "Connection",
+	},
+	update: {
+		"--output": "Output",
+		"--api-key": "Connection",
+		"--base-url": "Connection",
+	},
+	delete: {
+		"--user-id": "Scope",
+		"--agent-id": "Scope",
+		"--app-id": "Scope",
+		"--run-id": "Scope",
+		"--output": "Output",
+		"--api-key": "Connection",
+		"--base-url": "Connection",
+	},
+	status: {
+		"--output": "Output",
+		"--api-key": "Connection",
+		"--base-url": "Connection",
+	},
+	import: {
+		"--user-id": "Scope",
+		"--agent-id": "Scope",
+		"--output": "Output",
+		"--api-key": "Connection",
+		"--base-url": "Connection",
+	},
+};
+
+const PANEL_ORDER: string[] = [
+	"Scope",
+	"Search",
+	"Pagination",
+	"Filters",
+	"Output",
+	"Connection",
+];
+
+// ── Panel rendering ─────────────────────────────────────────────────────
+
+/**
+ * Render a Rich-style ROUNDED box panel.
+ *
+ * ```
+ * ╭─ Title ────────────────────────╮
+ * │ row content padded             │
+ * ╰────────────────────────────────╯
+ * ```
+ */
+function renderPanel(title: string, rows: string[], width: number): string {
+	if (rows.length === 0) return "";
+
+	// Inner width is total width minus the two border chars
+	const inner = width - 2;
+
+	// Top border: ╭─ Title ─...─╮
+	const titleStr = ` ${title} `;
+	const fillLen = Math.max(0, inner - 1 - titleStr.length);
+	const topLine =
+		dimBorder("╭─") +
+		dimBorder(titleStr) +
+		dimBorder("─".repeat(fillLen)) +
+		dimBorder("╮");
+
+	// Bottom border: ╰─...─╯
+	const bottomLine =
+		dimBorder("╰") + dimBorder("─".repeat(inner)) + dimBorder("╯");
+
+	// Content rows
+	const contentLines = rows.map((row) => {
+		const visLen = stripAnsi(row);
+		const pad = Math.max(0, inner - 1 - visLen);
+		return `${dimBorder("│")} ${row}${" ".repeat(pad)}${dimBorder("│")}`;
+	});
+
+	return [topLine, ...contentLines, bottomLine].join("\n");
+}
+
+// ── Format an option term (short + long) ────────────────────────────────
+
+function formatOptionTerm(opt: Option): string {
+	const parts: string[] = [];
+	if (opt.short) parts.push(opt.short);
+	if (opt.long) parts.push(opt.long);
+	let term = parts.join(", ");
+
+	// Append value placeholder for non-boolean options
+	if (opt.flags) {
+		const match = opt.flags.match(/<[^>]+>|\[[^\]]+\]/);
+		if (match) {
+			term += ` ${match[0]}`;
+		}
+	}
+	return term;
+}
+
+// ── Get the long flag name for panel lookup ─────────────────────────────
+
+function getLongFlag(opt: Option): string {
+	if (opt.long) return opt.long;
+	return opt.short || "";
+}
+
+// ── Format a default value ──────────────────────────────────────────────
+
+function formatDefault(opt: Option): string {
+	if (opt.defaultValue !== undefined && opt.defaultValue !== false) {
+		return dim(` [default: ${opt.defaultValue}]`);
+	}
+	return "";
+}
+
+// ── The main help formatter ─────────────────────────────────────────────
+
+export function richFormatHelp(cmd: Command, helper: Help): string {
+	const width = process.stdout.columns || 80;
+	const lines: string[] = [];
+
+	const isRoot = !cmd.parent;
+
+	// ── Usage line ──
+	const usage = helper.commandUsage(cmd);
+	lines.push("");
+	if (isRoot) {
+		// Root: "Usage: mem0 <command> [options]" — <command> yellow, [options] bold
+		lines.push(
+			` ${yellow("Usage:")} ${bold(cmd.name())} ${yellow("<command>")} ${bold("[options]")}`,
+		);
+	} else {
+		// Subcommands: split into command path (bold) and args (yellow)
+		const usageParts = usage.split(" ");
+		const cmdPath: string[] = [];
+		const argParts: string[] = [];
+		let pastCmd = false;
+		for (const part of usageParts) {
+			if (!pastCmd && !part.startsWith("[") && !part.startsWith("<")) {
+				cmdPath.push(part);
+			} else {
+				pastCmd = true;
+				argParts.push(part);
+			}
+		}
+		lines.push(
+			` ${yellow("Usage:")} ${bold(cmdPath.join(" "))} ${yellow(argParts.join(" "))}`,
+		);
+	}
+	lines.push("");
+
+	// ── Description ──
+	const desc = helper.commandDescription(cmd);
+	if (desc) {
+		// Split multi-line descriptions (e.g., title + tagline)
+		const descLines = desc.split("\n");
+		for (let i = 0; i < descLines.length; i++) {
+			const dLine = descLines[i];
+			// First line is the title, subsequent non-empty lines are tagline (dimmed)
+			if (i === 0 || dLine.trim() === "") {
+				lines.push(` ${dLine}`);
+			} else {
+				lines.push(` ${dim(dLine)}`);
+			}
+		}
+		lines.push("");
+	}
+
+	// ── Arguments panel (subcommands only) ──
+	if (!isRoot) {
+		const visibleArgs = helper.visibleArguments(cmd);
+		if (visibleArgs.length > 0) {
+			const maxLen = Math.max(
+				...visibleArgs.map((a: Argument) => a.name().length),
+			);
+			const argRows = visibleArgs.map((a: Argument) => {
+				const name = cyanBold(a.name().padEnd(maxLen));
+				const description = helper.argumentDescription(a);
+				return ` ${name}  ${description}`;
+			});
+			const panel = renderPanel("Arguments", argRows, width);
+			if (panel) lines.push(panel);
+		}
+	}
+
+	// ── Collect options (grouped into panels for subcommands) ──
+	const visibleOpts = helper.visibleOptions(cmd);
+	const cmdName = cmd.name();
+	const panelMap =
+		!isRoot && OPTION_PANELS[cmdName] ? OPTION_PANELS[cmdName] : {};
+
+	const grouped: Record<string, Option[]> = { Options: [] };
+	for (const panelName of PANEL_ORDER) {
+		grouped[panelName] = [];
+	}
+
+	for (const opt of visibleOpts) {
+		const flag = getLongFlag(opt);
+		const panel = panelMap[flag];
+		if (panel && PANEL_ORDER.includes(panel)) {
+			grouped[panel].push(opt);
+		} else {
+			grouped.Options.push(opt);
+		}
+	}
+
+	// ── Collect commands ──
+	const visibleCmds = helper.visibleCommands(cmd);
+
+	if (isRoot) {
+		// ROOT: Options first, then command groups (matches Python/Typer ordering)
+		if (grouped.Options.length > 0) {
+			const optRows = formatOptionRows(grouped.Options);
+			const panel = renderPanel("Options", optRows, width);
+			if (panel) lines.push(panel);
+		}
+		if (visibleCmds.length > 0) {
+			const cmdMap = new Map(visibleCmds.map((c) => [c.name(), c]));
+			for (const group of COMMAND_GROUPS) {
+				const groupCmds = group.commands
+					.map((name) => cmdMap.get(name))
+					.filter((c): c is Command => c !== undefined);
+				if (groupCmds.length === 0) continue;
+				const maxLen = Math.max(...groupCmds.map((c) => c.name().length));
+				const cmdRows = groupCmds.map((c) => {
+					const name = cyanBold(c.name().padEnd(maxLen));
+					const description = helper.subcommandDescription(c);
+					return ` ${name}  ${description}`;
+				});
+				const panel = renderPanel(group.panel, cmdRows, width);
+				if (panel) lines.push(panel);
+			}
+		}
+	} else {
+		// SUBCOMMANDS: Options/panels first, then sub-subcommands
+		const panelSequence = ["Options", ...PANEL_ORDER];
+		for (const panelName of panelSequence) {
+			const opts = grouped[panelName];
+			if (opts && opts.length > 0) {
+				const optRows = formatOptionRows(opts);
+				const panel = renderPanel(panelName, optRows, width);
+				if (panel) lines.push(panel);
+			}
+		}
+		// Sub-subcommands (e.g., config show/get/set, entity list/delete)
+		if (visibleCmds.length > 0) {
+			const maxLen = Math.max(...visibleCmds.map((c) => c.name().length));
+			const cmdRows = visibleCmds.map((c) => {
+				const name = cyanBold(c.name().padEnd(maxLen));
+				const description = helper.subcommandDescription(c);
+				return ` ${name}  ${description}`;
+			});
+			const panel = renderPanel("Commands", cmdRows, width);
+			if (panel) lines.push(panel);
+		}
+	}
+
+	lines.push("");
+	return lines.join("\n");
+}
+
+// ── Format option rows with aligned columns ─────────────────────────────
+
+function formatOptionRows(opts: Option[]): string[] {
+	const terms = opts.map((o) => formatOptionTerm(o));
+	const maxTermLen = Math.max(...terms.map((t) => t.length));
+
+	return opts.map((opt, i) => {
+		const term = cyanBold(terms[i].padEnd(maxTermLen));
+		const desc = opt.description || "";
+		const def = formatDefault(opt);
+		return ` ${term}  ${desc}${def}`;
+	});
+}
+
+// ── Sort commands by COMMAND_ORDER ──────────────────────────────────────
+
+function sortCommands(cmds: Command[]): Command[] {
+	return [...cmds].sort((a, b) => {
+		const ai = COMMAND_ORDER.indexOf(a.name());
+		const bi = COMMAND_ORDER.indexOf(b.name());
+		// Unknown commands go to end, preserving original order
+		const aIdx = ai === -1 ? COMMAND_ORDER.length : ai;
+		const bIdx = bi === -1 ? COMMAND_ORDER.length : bi;
+		return aIdx - bIdx;
+	});
+}

cli/node/src/index.ts

@@ -0,0 +1,711 @@
+#!/usr/bin/env node
+
+/**
+ * Main CLI application — the entrypoint for `mem0`.
+ */
+
+import fs from "node:fs";
+import path from "node:path";
+import { fileURLToPath } from "node:url";
+import { Command } from "commander";
+import { type Backend, getBackend } from "./backend/index.js";
+import { colors, printError } from "./branding.js";
+import type { Mem0Config } from "./config.js";
+import { loadConfig } from "./config.js";
+import { richFormatHelp } from "./help.js";
+import { setAgentMode } from "./state.js";
+import { CLI_VERSION } from "./version.js";
+
+const program = new Command();
+
+// ── Helpers ──────────────────────────────────────────────────────────────
+
+function getBackendAndConfig(
+	apiKey?: string,
+	baseUrl?: string,
+): { backend: Backend; config: Mem0Config } {
+	const config = loadConfig();
+
+	if (apiKey) config.platform.apiKey = apiKey;
+	if (baseUrl) config.platform.baseUrl = baseUrl;
+
+	if (!config.platform.apiKey) {
+		printError(
+			"No API key configured.",
+			"Run 'mem0 init' or set MEM0_API_KEY environment variable.",
+		);
+		process.exit(1);
+	}
+
+	return { backend: getBackend(config), config };
+}
+
+function getBackendOnly(apiKey?: string, baseUrl?: string): Backend {
+	return getBackendAndConfig(apiKey, baseUrl).backend;
+}
+
+function checkAgentMode(): boolean {
+	const rootOpts = program.opts();
+	const isAgent = !!(rootOpts.json || rootOpts.agent);
+	if (isAgent) setAgentMode(true);
+	return isAgent;
+}
+
+/**
+ * Resolve entity IDs: CLI flag > config default > undefined.
+ *
+ * If any explicit ID is provided, only use explicit IDs (don't mix
+ * in defaults for other entity types which would over-filter).
+ * If no explicit IDs, fall back to all configured defaults.
+ */
+function resolveIds(
+	config: Mem0Config,
+	opts: {
+		userId?: string;
+		agentId?: string;
+		appId?: string;
+		runId?: string;
+	},
+): { userId?: string; agentId?: string; appId?: string; runId?: string } {
+	const hasExplicit = !!(
+		opts.userId ||
+		opts.agentId ||
+		opts.appId ||
+		opts.runId
+	);
+	if (hasExplicit) {
+		return {
+			userId: opts.userId || undefined,
+			agentId: opts.agentId || undefined,
+			appId: opts.appId || undefined,
+			runId: opts.runId || undefined,
+		};
+	}
+	return {
+		userId: config.defaults.userId || undefined,
+		agentId: config.defaults.agentId || undefined,
+		appId: config.defaults.appId || undefined,
+		runId: config.defaults.runId || undefined,
+	};
+}
+
+/**
+ * Resolve graph tri-state: --no-graph > --graph > config default.
+ */
+function resolveGraph(
+	config: Mem0Config,
+	opts: { graph?: boolean; noGraph?: boolean },
+): boolean {
+	if (opts.noGraph) return false;
+	if (opts.graph) return true;
+	return config.defaults.enableGraph;
+}
+
+// ── Main program ──────────────────────────────────────────────────────────
+
+program
+	.name("mem0")
+	.description(
+		`◆ Mem0 CLI v${CLI_VERSION} · Node.js SDK\n\nThe Memory Layer for AI Agents`,
+	)
+	.option("--version", "Show version and exit.")
+	.on("option:version", () => {
+		console.log(`  ${colors.brand("◆ Mem0")} CLI v${CLI_VERSION}`);
+		process.exit(0);
+	})
+	.option("--json", "Output as JSON for agent/programmatic use.")
+	.option(
+		"--agent",
+		"Output as JSON for agent/programmatic use. (alias: --json)",
+	)
+	.usage("<command> [options]")
+	.helpOption("--help", "Show this message and exit.")
+	.addHelpCommand(false)
+	.configureHelp({ formatHelp: richFormatHelp });
+
+// ── Init ──────────────────────────────────────────────────────────────────
+
+program
+	.command("init")
+	.description("Interactive setup wizard for mem0 CLI.")
+	.option("--api-key <key>", "API key (skip prompt).")
+	.option("-u, --user-id <id>", "Default user ID (skip prompt).")
+	.option("--email <email>", "Login via email verification code.")
+	.option(
+		"--code <code>",
+		"Verification code (use with --email for non-interactive login).",
+	)
+	.option("--force", "Overwrite existing config without confirmation.", false)
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 init\n  $ mem0 init --api-key m0-xxx --user-id alice\n  $ mem0 init --email you@example.com\n  $ mem0 init --email you@example.com --code 123456",
+	)
+	.action(async (opts) => {
+		const { runInit } = await import("./commands/init.js");
+		await runInit({
+			apiKey: opts.apiKey,
+			userId: opts.userId,
+			email: opts.email,
+			code: opts.code,
+			force: opts.force,
+		});
+	});
+
+// ── Memory: add ───────────────────────────────────────────────────────────
+
+program
+	.command("add [text]")
+	.description("Add a memory from text, messages, file, or stdin.")
+	.option("-u, --user-id <id>", "Scope to user.")
+	.option("--agent-id <id>", "Scope to agent.")
+	.option("--app-id <id>", "Scope to app.")
+	.option("--run-id <id>", "Scope to run.")
+	.option("--messages <json>", "Conversation messages as JSON.")
+	.option("-f, --file <path>", "Read messages from JSON file.")
+	.option("-m, --metadata <json>", "Custom metadata as JSON.")
+	.option("--immutable", "Prevent future updates.", false)
+	.option("--no-infer", "Skip inference, store raw.")
+	.option("--expires <date>", "Expiration date (YYYY-MM-DD).")
+	.option("--categories <value>", "Categories (JSON array or comma-separated).")
+	.option("--graph", "Enable graph memory extraction.", false)
+	.option("--no-graph", "Disable graph memory extraction.")
+	.option("-o, --output <format>", "Output format: text, json, quiet.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		'\nExamples:\n  $ mem0 add "I prefer dark mode" --user-id alice\n  $ echo "text" | mem0 add -u alice\n  $ mem0 add --file msgs.json -u alice -o json',
+	)
+	.action(async (text, opts) => {
+		const { cmdAdd } = await import("./commands/memory.js");
+		const isAgent = checkAgentMode();
+		const { backend, config } = getBackendAndConfig(opts.apiKey, opts.baseUrl);
+		const ids = resolveIds(config, opts);
+		const enableGraph = resolveGraph(config, opts);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdAdd(backend, text, { ...ids, ...opts, enableGraph, output });
+	});
+
+// ── Memory: search ────────────────────────────────────────────────────────
+
+program
+	.command("search [query]")
+	.description(
+		"Query your memory store — semantic, keyword, or hybrid retrieval.",
+	)
+	.option("-u, --user-id <id>", "Filter by user.")
+	.option("--agent-id <id>", "Filter by agent.")
+	.option("--app-id <id>", "Filter by app.")
+	.option("--run-id <id>", "Filter by run.")
+	.option(
+		"-k, --top-k <n>",
+		"Number of results.",
+		(v) => Number.parseInt(v),
+		10,
+	)
+	.option(
+		"--threshold <n>",
+		"Minimum similarity score.",
+		(v) => Number.parseFloat(v),
+		0.3,
+	)
+	.option("--rerank", "Enable reranking (Platform only).", false)
+	.option("--keyword", "Use keyword search.", false)
+	.option("--filter <json>", "Advanced filter expression (JSON).")
+	.option("--fields <list>", "Specific fields to return (comma-separated).")
+	.option("--graph", "Enable graph in search.", false)
+	.option("--no-graph", "Disable graph in search.")
+	.option("-o, --output <format>", "Output: text, json, table.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		'\nExamples:\n  $ mem0 search "preferences" --user-id alice\n  $ mem0 search "tools" -u alice -o json -k 5\n  $ echo "preferences" | mem0 search -u alice',
+	)
+	.action(async (query, opts) => {
+		let resolvedQuery = query;
+		if (!resolvedQuery && !process.stdin.isTTY) {
+			resolvedQuery = fs.readFileSync(0, "utf-8").trim();
+		}
+		if (!resolvedQuery) {
+			printError("No query provided. Pass a query argument or pipe via stdin.");
+			process.exit(1);
+		}
+		const { cmdSearch } = await import("./commands/memory.js");
+		const isAgent = checkAgentMode();
+		const { backend, config } = getBackendAndConfig(opts.apiKey, opts.baseUrl);
+		const ids = resolveIds(config, opts);
+		const enableGraph = resolveGraph(config, opts);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdSearch(backend, resolvedQuery, {
+			...ids,
+			topK: opts.topK,
+			threshold: opts.threshold,
+			rerank: opts.rerank,
+			keyword: opts.keyword,
+			filterJson: opts.filter,
+			fields: opts.fields,
+			enableGraph,
+			output,
+		});
+	});
+
+// ── Memory: get ───────────────────────────────────────────────────────────
+
+program
+	.command("get <memoryId>")
+	.description("Get a specific memory by ID.")
+	.option("-o, --output <format>", "Output: text, json.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 get abc-123-def-456\n  $ mem0 get abc-123-def-456 -o json",
+	)
+	.action(async (memoryId, opts) => {
+		const { cmdGet } = await import("./commands/memory.js");
+		const isAgent = checkAgentMode();
+		const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdGet(backend, memoryId, { output });
+	});
+
+// ── Memory: list ──────────────────────────────────────────────────────────
+
+program
+	.command("list")
+	.description("List memories with optional filters.")
+	.option("-u, --user-id <id>", "Filter by user.")
+	.option("--agent-id <id>", "Filter by agent.")
+	.option("--app-id <id>", "Filter by app.")
+	.option("--run-id <id>", "Filter by run.")
+	.option("--page <n>", "Page number.", (v) => Number.parseInt(v), 1)
+	.option(
+		"--page-size <n>",
+		"Results per page.",
+		(v) => Number.parseInt(v),
+		100,
+	)
+	.option("--category <name>", "Filter by category.")
+	.option("--after <date>", "Created after (YYYY-MM-DD).")
+	.option("--before <date>", "Created before (YYYY-MM-DD).")
+	.option("--graph", "Enable graph in listing.", false)
+	.option("--no-graph", "Disable graph in listing.")
+	.option("-o, --output <format>", "Output: text, json, table.", "table")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 list -u alice\n  $ mem0 list --category prefs --after 2024-01-01 -o json",
+	)
+	.action(async (opts) => {
+		const { cmdList } = await import("./commands/memory.js");
+		const isAgent = checkAgentMode();
+		const { backend, config } = getBackendAndConfig(opts.apiKey, opts.baseUrl);
+		const ids = resolveIds(config, opts);
+		const enableGraph = resolveGraph(config, opts);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdList(backend, {
+			...ids,
+			page: opts.page,
+			pageSize: opts.pageSize,
+			category: opts.category,
+			after: opts.after,
+			before: opts.before,
+			enableGraph,
+			output,
+		});
+	});
+
+// ── Memory: update ────────────────────────────────────────────────────────
+
+program
+	.command("update <memoryId> [text]")
+	.description("Update a memory's text or metadata.")
+	.option("-m, --metadata <json>", "Update metadata (JSON).")
+	.option("-o, --output <format>", "Output: text, json, quiet.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		`\nExamples:\n  $ mem0 update abc-123 "new text"\n  $ mem0 update abc-123 --metadata '{"key":"val"}'\n  $ echo "new text" | mem0 update abc-123`,
+	)
+	.action(async (memoryId, text, opts) => {
+		let resolvedText = text;
+		if (!resolvedText && !opts.metadata && !process.stdin.isTTY) {
+			resolvedText = fs.readFileSync(0, "utf-8").trim();
+		}
+		const { cmdUpdate } = await import("./commands/memory.js");
+		const isAgent = checkAgentMode();
+		const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdUpdate(backend, memoryId, resolvedText, {
+			metadata: opts.metadata,
+			output,
+		});
+	});
+
+// ── Memory: delete (consolidated) ─────────────────────────────────────────
+
+program
+	.command("delete [memoryId]")
+	.description("Delete a memory, all memories matching a scope, or an entity.")
+	.option("--all", "Delete all memories matching scope filters.", false)
+	.option(
+		"--entity",
+		"Delete the entity itself and all its memories (cascade).",
+		false,
+	)
+	.option("--project", "With --all: delete ALL memories project-wide.", false)
+	.option("--dry-run", "Show what would be deleted without deleting.", false)
+	.option("--force", "Skip confirmation.", false)
+	.option("-u, --user-id <id>", "Scope to user.")
+	.option("--agent-id <id>", "Scope to agent.")
+	.option("--app-id <id>", "Scope to app.")
+	.option("--run-id <id>", "Scope to run.")
+	.option("-o, --output <format>", "Output: text, json, quiet.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		[
+			"\nExamples:",
+			"  $ mem0 delete abc-123-def-456              # single memory",
+			"  $ mem0 delete --all -u alice --force        # all memories for user",
+			"  $ mem0 delete --all --project --force       # project-wide wipe",
+			"  $ mem0 delete --entity -u alice --force     # entity + all its memories",
+		].join("\n"),
+	)
+	.action(async (memoryId, opts) => {
+		const isAgent = checkAgentMode();
+		const output = isAgent ? "agent" : opts.output;
+		// ── Mutual-exclusion checks ──
+		if (memoryId && opts.all) {
+			printError("Cannot combine <memoryId> with --all. Use one or the other.");
+			process.exit(1);
+		}
+		if (memoryId && opts.entity) {
+			printError(
+				"Cannot combine <memoryId> with --entity. Use one or the other.",
+			);
+			process.exit(1);
+		}
+		if (opts.all && opts.entity) {
+			printError("Cannot combine --all with --entity. Use one or the other.");
+			process.exit(1);
+		}
+		if (!memoryId && !opts.all && !opts.entity) {
+			printError(
+				"Specify a memory ID, --all, or --entity.\n" +
+					"  mem0 delete <id>              Delete a single memory\n" +
+					"  mem0 delete --all [scope]     Delete all memories matching scope\n" +
+					"  mem0 delete --entity [scope]  Delete an entity and all its memories",
+			);
+			process.exit(1);
+		}
+
+		// ── Dispatch: single memory ──
+		if (memoryId) {
+			const { cmdDelete } = await import("./commands/memory.js");
+			const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
+			await cmdDelete(backend, memoryId, {
+				output,
+				dryRun: opts.dryRun,
+				force: opts.force,
+			});
+			return;
+		}
+
+		// ── Dispatch: --all ──
+		if (opts.all) {
+			const { cmdDeleteAll } = await import("./commands/memory.js");
+			const { backend, config } = getBackendAndConfig(
+				opts.apiKey,
+				opts.baseUrl,
+			);
+			const ids = opts.project
+				? {
+						userId: undefined,
+						agentId: undefined,
+						appId: undefined,
+						runId: undefined,
+					}
+				: resolveIds(config, opts);
+			await cmdDeleteAll(backend, {
+				force: opts.force,
+				dryRun: opts.dryRun,
+				all: opts.project,
+				...ids,
+				output,
+			});
+			return;
+		}
+
+		// ── Dispatch: --entity ──
+		if (opts.entity) {
+			const { cmdEntitiesDelete } = await import("./commands/entities.js");
+			const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
+			await cmdEntitiesDelete(backend, { ...opts, output });
+			return;
+		}
+	});
+
+// ── Config subcommands ────────────────────────────────────────────────────
+
+const configCmd = program
+	.command("config")
+	.description("Manage mem0 configuration.")
+	.addHelpCommand(false);
+
+configCmd
+	.command("show")
+	.description("Display current configuration (secrets redacted).")
+	.option("-o, --output <format>", "Output: text, json.", "text")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 config show\n  $ mem0 config show -o json",
+	)
+	.action(async (opts) => {
+		const { cmdConfigShow } = await import("./commands/config.js");
+		const isAgent = checkAgentMode();
+		const output = isAgent ? "agent" : opts.output;
+		cmdConfigShow({ output });
+	});
+
+configCmd
+	.command("get <key>")
+	.description("Get a configuration value.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 config get platform.api_key\n  $ mem0 config get defaults.user_id",
+	)
+	.action(async (key) => {
+		const { cmdConfigGet } = await import("./commands/config.js");
+		checkAgentMode();
+		cmdConfigGet(key);
+	});
+
+configCmd
+	.command("set <key> <value>")
+	.description("Set a configuration value.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 config set defaults.user_id alice\n  $ mem0 config set platform.base_url https://api.mem0.ai",
+	)
+	.action(async (key, value) => {
+		const { cmdConfigSet } = await import("./commands/config.js");
+		checkAgentMode();
+		cmdConfigSet(key, value);
+	});
+
+// ── Entity subcommand group ───────────────────────────────────────────────
+
+const entityCmd = program
+	.command("entity")
+	.description("Manage entities.")
+	.addHelpCommand(false)
+	.configureHelp({ formatHelp: richFormatHelp });
+
+entityCmd
+	.command("list <entityType>")
+	.description("List all entities of a given type.")
+	.option("-o, --output <format>", "Output: table, json.", "table")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 entity list users\n  $ mem0 entity list agents -o json",
+	)
+	.action(async (entityType, opts) => {
+		const { cmdEntitiesList } = await import("./commands/entities.js");
+		const isAgent = checkAgentMode();
+		const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdEntitiesList(backend, entityType, { output });
+	});
+
+entityCmd
+	.command("delete")
+	.description("Delete an entity and ALL its memories (cascade).")
+	.option("--dry-run", "Show what would be deleted without deleting.", false)
+	.option("-u, --user-id <id>", "Scope to user.")
+	.option("--agent-id <id>", "Scope to agent.")
+	.option("--app-id <id>", "Scope to app.")
+	.option("--run-id <id>", "Scope to run.")
+	.option("--force", "Skip confirmation.", false)
+	.option("-o, --output <format>", "Output: text, json, quiet.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 entity delete --user-id alice --force\n  $ mem0 entity delete --user-id alice --dry-run",
+	)
+	.action(async (opts) => {
+		const { cmdEntitiesDelete } = await import("./commands/entities.js");
+		const isAgent = checkAgentMode();
+		const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdEntitiesDelete(backend, { ...opts, output });
+	});
+
+// ── Event subcommands ─────────────────────────────────────────────────────
+
+const eventCmd = program
+	.command("event")
+	.description("Inspect background processing events.")
+	.addHelpCommand(false)
+	.configureHelp({ formatHelp: richFormatHelp });
+
+eventCmd
+	.command("list")
+	.description("List recent background processing events.")
+	.option("-o, --output <format>", "Output: table, json.", "table")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 event list\n  $ mem0 event list -o json",
+	)
+	.action(async (opts) => {
+		const { cmdEventList } = await import("./commands/events.js");
+		const isAgent = checkAgentMode();
+		const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdEventList(backend, { output });
+	});
+
+eventCmd
+	.command("status <eventId>")
+	.description("Check the status of a specific background event.")
+	.option("-o, --output <format>", "Output: text, json.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 event status <event-id>\n  $ mem0 event status <event-id> -o json",
+	)
+	.action(async (eventId, opts) => {
+		const { cmdEventStatus } = await import("./commands/events.js");
+		const isAgent = checkAgentMode();
+		const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdEventStatus(backend, eventId, { output });
+	});
+
+// ── Utility commands ──────────────────────────────────────────────────────
+
+program
+	.command("status")
+	.description("Check connectivity and authentication.")
+	.option("-o, --output <format>", "Output: text, json.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText("after", "\nExamples:\n  $ mem0 status\n  $ mem0 status -o json")
+	.action(async (opts) => {
+		const { cmdStatus } = await import("./commands/utils.js");
+		const isAgent = checkAgentMode();
+		const { backend, config } = getBackendAndConfig(opts.apiKey, opts.baseUrl);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdStatus(backend, {
+			userId: config.defaults.userId || undefined,
+			agentId: config.defaults.agentId || undefined,
+			output,
+		});
+	});
+
+program
+	.command("import <filePath>")
+	.description("Import memories from a JSON file.")
+	.option("-u, --user-id <id>", "Override user ID.")
+	.option("--agent-id <id>", "Override agent ID.")
+	.option("-o, --output <format>", "Output: text, json.", "text")
+	.option("--api-key <key>", "Override API key.")
+	.option("--base-url <url>", "Override API base URL.")
+	.addHelpText(
+		"after",
+		"\nExamples:\n  $ mem0 import data.json --user-id alice\n  $ mem0 import data.json -u alice -o json",
+	)
+	.action(async (filePath, opts) => {
+		const { cmdImport } = await import("./commands/utils.js");
+		const isAgent = checkAgentMode();
+		const { backend, config } = getBackendAndConfig(opts.apiKey, opts.baseUrl);
+		const ids = resolveIds(config, opts);
+		const output = isAgent ? "agent" : opts.output;
+		await cmdImport(backend, filePath, {
+			userId: ids.userId,
+			agentId: ids.agentId,
+			output,
+		});
+	});
+
+// ── Help (machine-readable) ──────────────────────────────────────────────
+
+program
+	.command("help")
+	.description(
+		"Show help. Use --json for machine-readable output (for LLM agents).",
+	)
+	.option("--json", "Output machine-readable JSON for LLM agents.", false)
+	.addHelpText("after", "\nExamples:\n  $ mem0 help\n  $ mem0 help --json")
+	.action((opts) => {
+		// opts.json is set when `mem0 help --json` is used (subcommand flag).
+		// program.opts().json is set when the root --json global flag was used first.
+		if (opts.json || program.opts().json) {
+			// Load spec from parent directory
+			const __dirname = path.dirname(fileURLToPath(import.meta.url));
+			const specPath = path.join(__dirname, "..", "..", "cli-spec.json");
+			if (fs.existsSync(specPath)) {
+				const spec = JSON.parse(fs.readFileSync(specPath, "utf-8"));
+				console.log(JSON.stringify(spec, null, 2));
+			} else {
+				console.log(
+					JSON.stringify(
+						{
+							name: "mem0",
+							version: CLI_VERSION,
+							description: "The Memory Layer for AI Agents",
+						},
+						null,
+						2,
+					),
+				);
+			}
+		} else {
+			const { brand: b } = colors;
+			console.log(
+				`${b("◆ Mem0 CLI")} v${CLI_VERSION} · Node.js SDK\n  The Memory Layer for AI Agents\n`,
+			);
+			console.log("Usage: mem0 <command> [OPTIONS]\n");
+			console.log("Commands:");
+			console.log(
+				"  add              Add a memory from text, messages, file, or stdin",
+			);
+			console.log(
+				"  search           Query your memory store (semantic, keyword, hybrid)",
+			);
+			console.log("  get              Get a specific memory by ID");
+			console.log("  list             List memories with optional filters");
+			console.log("  update           Update a memory's text or metadata");
+			console.log(
+				"  delete           Delete a memory, all memories, or an entity",
+			);
+			console.log("  import           Import memories from a JSON file");
+			console.log("  config           Manage configuration (show, get, set)");
+			console.log("  entity           Manage entities (list, delete)");
+			console.log(
+				"  event            Inspect background events (list, status)",
+			);
+			console.log("  init             Interactive setup wizard");
+			console.log("  status           Check connectivity and authentication");
+			console.log();
+			console.log("  mem0 <command> --help    Get help for a command");
+			console.log(
+				"  mem0 help --json         Machine-readable help (for LLM agents)",
+			);
+			console.log();
+		}
+	});
+
+// ── Entrypoint ────────────────────────────────────────────────────────────
+
+program.parse();

cli/node/src/output.ts

@@ -0,0 +1,381 @@
+/**
+ * Output formatting for mem0 CLI — text, JSON, table, quiet modes.
+ */
+
+import boxen from "boxen";
+import Table from "cli-table3";
+import { colors, sym } from "./branding.js";
+
+const { brand, accent, success, error: errorColor, dim } = colors;
+
+function formatDate(dtStr?: string): string | undefined {
+	if (!dtStr) return undefined;
+	try {
+		const dt = new Date(dtStr.replace("Z", "+00:00"));
+		return dt.toISOString().slice(0, 10);
+	} catch {
+		return dtStr?.slice(0, 10);
+	}
+}
+
+export function formatMemoriesText(
+	memories: Record<string, unknown>[],
+	title = "memories",
+): void {
+	const count = memories.length;
+	console.log(`\n${brand(`Found ${count} ${title}:`)}\n`);
+
+	for (let i = 0; i < memories.length; i++) {
+		const mem = memories[i];
+		const memoryText = (mem.memory ?? mem.text ?? "") as string;
+		const memId = ((mem.id as string) ?? "").slice(0, 8);
+		const score = mem.score as number | undefined;
+		const created = formatDate(mem.created_at as string | undefined);
+		let category: string | undefined;
+		const cats = mem.categories;
+		if (Array.isArray(cats)) {
+			category = cats[0] as string | undefined;
+		}
+
+		console.log(`  ${i + 1}. ${memoryText}`);
+
+		const details: string[] = [];
+		if (score !== undefined) details.push(`Score: ${score.toFixed(2)}`);
+		if (memId) details.push(`ID: ${memId}`);
+		if (created) details.push(`Created: ${created}`);
+		if (category) details.push(`Category: ${category}`);
+
+		if (details.length > 0) {
+			console.log(`     ${dim(details.join(" · "))}`);
+		}
+		console.log();
+	}
+}
+
+export function formatMemoriesTable(
+	memories: Record<string, unknown>[],
+	opts: { showScore?: boolean } = {},
+): void {
+	const head = opts.showScore
+		? [
+				accent("ID"),
+				accent("Score"),
+				accent("Memory"),
+				accent("Category"),
+				accent("Created"),
+			]
+		: [accent("ID"), accent("Memory"), accent("Category"), accent("Created")];
+	const colWidths = opts.showScore ? [38, 8, 40, 16, 14] : [38, 40, 16, 14];
+	const table = new Table({
+		head,
+		colWidths,
+		wordWrap: true,
+		style: { head: [], border: [] },
+	});
+
+	for (const mem of memories) {
+		const memId = (mem.id as string) ?? "";
+		let memoryText = (mem.memory ?? mem.text ?? "") as string;
+		if (memoryText.length > 60) {
+			memoryText = `${memoryText.slice(0, 57)}...`;
+		}
+		const categories = mem.categories;
+		const cat =
+			Array.isArray(categories) && categories.length > 0
+				? categories.length > 1
+					? `${categories[0]} (+${categories.length - 1})`
+					: (categories[0] as string)
+				: "—";
+		const created = formatDate(mem.created_at as string | undefined) ?? "—";
+		if (opts.showScore) {
+			const score = mem.score as number | undefined;
+			const scoreStr = score !== undefined ? score.toFixed(2) : "—";
+			table.push([dim(memId), scoreStr, memoryText, cat, created]);
+		} else {
+			table.push([dim(memId), memoryText, cat, created]);
+		}
+	}
+
+	console.log();
+	console.log(table.toString());
+	console.log();
+}
+
+export function formatJson(data: unknown): void {
+	console.log(JSON.stringify(data, null, 2));
+}
+
+export function formatSingleMemory(
+	mem: Record<string, unknown>,
+	output = "text",
+): void {
+	if (output === "json") {
+		formatJson(mem);
+		return;
+	}
+
+	const memoryText = (mem.memory ?? mem.text ?? "") as string;
+	const memId = (mem.id ?? "") as string;
+
+	const lines: string[] = [];
+	lines.push(`  ${memoryText}`);
+	lines.push("");
+
+	if (memId) lines.push(`  ${dim("ID:")}         ${memId}`);
+	const created = formatDate(mem.created_at as string | undefined);
+	if (created) lines.push(`  ${dim("Created:")}    ${created}`);
+	const updated = formatDate(mem.updated_at as string | undefined);
+	if (updated) lines.push(`  ${dim("Updated:")}    ${updated}`);
+	const meta = mem.metadata;
+	if (meta) lines.push(`  ${dim("Metadata:")}   ${JSON.stringify(meta)}`);
+	const categories = mem.categories;
+	if (categories) {
+		const catStr = Array.isArray(categories)
+			? categories.join(", ")
+			: String(categories);
+		lines.push(`  ${dim("Categories:")} ${catStr}`);
+	}
+
+	const content = lines.join("\n");
+	console.log();
+	console.log(
+		boxen(content, {
+			title: brand("Memory"),
+			titleAlignment: "left",
+			borderColor: "magenta",
+			padding: 1,
+		}),
+	);
+	console.log();
+}
+
+export function formatAddResult(
+	result: Record<string, unknown> | Record<string, unknown>[],
+	output = "text",
+): void {
+	if (output === "json") {
+		formatJson(result);
+		return;
+	}
+	if (output === "quiet") return;
+
+	const results: Record<string, unknown>[] = Array.isArray(result)
+		? result
+		: ((result.results as Record<string, unknown>[]) ?? [result]);
+
+	if (!results.length) {
+		console.log(`  ${dim("No memories extracted.")}`);
+		return;
+	}
+
+	console.log();
+	const seenPendingEvents = new Set<string>();
+	for (const r of results) {
+		// Detect async PENDING response
+		if (r.status === "PENDING") {
+			const eventId = (r.event_id as string) ?? "";
+			// Deduplicate PENDING entries with the same event_id
+			if (eventId && seenPendingEvents.has(eventId)) continue;
+			if (eventId) seenPendingEvents.add(eventId);
+			const icon = accent(sym("⧗", "..."));
+			const parts = [
+				`  ${icon} ${dim("Queued".padEnd(10))}`,
+				"Processing in background",
+			];
+			console.log(parts.join("  "));
+			if (eventId) {
+				console.log(`  ${dim(`  event_id: ${eventId}`)}`);
+				console.log(
+					`  ${dim(`  → Check status: mem0 event status ${eventId}`)}`,
+				);
+			}
+			continue;
+		}
+
+		const event = (r.event ?? "ADD") as string;
+		const memory = (r.memory ?? r.text ?? r.content ?? r.data ?? "") as string;
+		const memId = ((r.id as string) ?? (r.memory_id as string) ?? "").slice(
+			0,
+			8,
+		);
+
+		let icon: string;
+		let label: string;
+		if (event === "ADD") {
+			icon = success("+");
+			label = "Added";
+		} else if (event === "UPDATE") {
+			icon = accent("~");
+			label = "Updated";
+		} else if (event === "DELETE") {
+			icon = errorColor("-");
+			label = "Deleted";
+		} else if (event === "NOOP") {
+			icon = dim("·");
+			label = "No change";
+		} else {
+			icon = dim("?");
+			label = event;
+		}
+
+		const parts = [`  ${icon} ${dim(label.padEnd(10))}`];
+		if (memory) parts.push(memory);
+		if (memId) parts.push(dim(`(${memId})`));
+		console.log(parts.join("  "));
+	}
+	console.log();
+}
+
+export function formatJsonEnvelope(opts: {
+	command: string;
+	data: unknown;
+	durationMs?: number;
+	scope?: Record<string, string | undefined>;
+	count?: number;
+	status?: string;
+	error?: string;
+}): void {
+	const envelope: Record<string, unknown> = {
+		status: opts.status ?? "success",
+		command: opts.command,
+	};
+	if (opts.durationMs !== undefined) envelope.duration_ms = opts.durationMs;
+	if (opts.scope !== undefined) envelope.scope = opts.scope;
+	if (opts.count !== undefined) envelope.count = opts.count;
+	if (opts.error) envelope.error = opts.error;
+	envelope.data = opts.data;
+	console.log(JSON.stringify(envelope, null, 2));
+}
+
+function pick(
+	obj: Record<string, unknown>,
+	keys: string[],
+): Record<string, unknown> {
+	const result: Record<string, unknown> = {};
+	for (const key of keys) {
+		if (key in obj) result[key] = obj[key];
+	}
+	return result;
+}
+
+export function sanitizeAgentData(command: string, data: unknown): unknown {
+	if (data === null || data === undefined) return data;
+
+	switch (command) {
+		case "add": {
+			const items = Array.isArray(data) ? data : [data];
+			return items.map((item) => {
+				const r = item as Record<string, unknown>;
+				if (r.status === "PENDING") return pick(r, ["status", "event_id"]);
+				return pick(r, ["id", "memory", "event"]);
+			});
+		}
+		case "search":
+			return (data as Record<string, unknown>[]).map((r) =>
+				pick(r, ["id", "memory", "score", "created_at", "categories"]),
+			);
+		case "list":
+			return (data as Record<string, unknown>[]).map((r) =>
+				pick(r, ["id", "memory", "created_at", "categories"]),
+			);
+		case "get": {
+			const r = data as Record<string, unknown>;
+			return pick(r, [
+				"id",
+				"memory",
+				"created_at",
+				"updated_at",
+				"categories",
+				"metadata",
+			]);
+		}
+		case "update": {
+			const r = data as Record<string, unknown>;
+			return pick(r, ["id", "memory"]);
+		}
+		case "delete":
+		case "delete-all":
+		case "entity delete":
+			return data;
+		case "entity list":
+			return (data as Record<string, unknown>[]).map((r) => ({
+				name: (r.name ?? r.id) as string,
+				...pick(r, ["type", "count"]),
+			}));
+		case "event list":
+			return (data as Record<string, unknown>[]).map((r) =>
+				pick(r, ["id", "event_type", "status", "latency", "created_at"]),
+			);
+		case "event status": {
+			const ev = data as Record<string, unknown>;
+			const rawResults =
+				(ev.results as Record<string, unknown>[] | undefined) ?? [];
+			const sanitizedResults = rawResults.map((r) => {
+				const nested = r.data as Record<string, unknown> | undefined;
+				return {
+					id: r.id,
+					event: r.event,
+					user_id: r.user_id,
+					memory: nested?.memory ?? null,
+				};
+			});
+			return {
+				...pick(ev, [
+					"id",
+					"event_type",
+					"status",
+					"latency",
+					"created_at",
+					"updated_at",
+				]),
+				results: sanitizedResults,
+			};
+		}
+		default:
+			return data;
+	}
+}
+
+export function formatAgentEnvelope(opts: {
+	command: string;
+	data: unknown;
+	durationMs?: number;
+	scope?: Record<string, string | undefined>;
+	count?: number;
+}): void {
+	const envelope: Record<string, unknown> = {
+		status: "success",
+		command: opts.command,
+	};
+	if (opts.durationMs !== undefined) envelope.duration_ms = opts.durationMs;
+	if (opts.scope) {
+		const filtered = Object.fromEntries(
+			Object.entries(opts.scope).filter(([, v]) => v),
+		);
+		if (Object.keys(filtered).length > 0) envelope.scope = filtered;
+	}
+	if (opts.count !== undefined) envelope.count = opts.count;
+	envelope.data = sanitizeAgentData(opts.command, opts.data);
+	console.log(JSON.stringify(envelope, null, 2));
+}
+
+export function printResultSummary(opts: {
+	count: number;
+	durationSecs?: number;
+	page?: number;
+	scopeIds?: Record<string, string | undefined>;
+}): void {
+	const parts = [`${opts.count} result${opts.count !== 1 ? "s" : ""}`];
+	if (opts.page !== undefined) parts.push(`page ${opts.page}`);
+	if (opts.scopeIds) {
+		const scopeParts = Object.entries(opts.scopeIds)
+			.filter(([, v]) => v)
+			.map(([k, v]) => `${k}=${v}`);
+		if (scopeParts.length > 0) parts.push(scopeParts.join(", "));
+	}
+	if (opts.durationSecs !== undefined)
+		parts.push(`${opts.durationSecs.toFixed(2)}s`);
+
+	console.log(`  ${dim(parts.join(" · "))}`);
+	console.log();
+}

cli/node/src/state.ts

@@ -0,0 +1,23 @@
+/**
+ * Agent mode state — set by the root program option handler,
+ * read by commands and branding functions.
+ */
+
+let _agentMode = false;
+let _currentCommand = "";
+
+export function isAgentMode(): boolean {
+	return _agentMode;
+}
+
+export function setAgentMode(val: boolean): void {
+	_agentMode = val;
+}
+
+export function getCurrentCommand(): string {
+	return _currentCommand;
+}
+
+export function setCurrentCommand(name: string): void {
+	_currentCommand = name;
+}

cli/node/src/version.ts

@@ -0,0 +1,10 @@
+import { createRequire } from "node:module";
+
+// __CLI_VERSION__ is replaced at build time by tsup (see tsup.config.ts).
+// When running via tsx in dev/test mode, fall back to reading package.json.
+// typeof is safe to use on undeclared identifiers — it returns 'undefined' without throwing.
+export const CLI_VERSION: string =
+	typeof __CLI_VERSION__ !== "undefined"
+		? (__CLI_VERSION__ as string)
+		: (createRequire(import.meta.url)("../package.json") as { version: string })
+				.version;

cli/node/tests/branding.test.ts

@@ -0,0 +1,98 @@
+/**
+ * Tests for branding utilities.
+ */
+
+import { describe, it, expect, beforeEach, afterEach } from "vitest";
+import {
+  BRAND_COLOR,
+  SUCCESS_COLOR,
+  ERROR_COLOR,
+  TAGLINE,
+  LOGO_MINI,
+  printSuccess,
+  printError,
+  printWarning,
+  printInfo,
+  printScope,
+} from "../src/branding.js";
+
+let output: string;
+let errOutput: string;
+const originalLog = console.log;
+const originalError = console.error;
+
+beforeEach(() => {
+  output = "";
+  errOutput = "";
+  console.log = (...args: unknown[]) => {
+    output += args.map(String).join(" ") + "\n";
+  };
+  console.error = (...args: unknown[]) => {
+    errOutput += args.map(String).join(" ") + "\n";
+  };
+});
+
+afterEach(() => {
+  console.log = originalLog;
+  console.error = originalError;
+});
+
+describe("branding constants", () => {
+  it("has correct brand color", () => {
+    expect(BRAND_COLOR).toBe("#8b5cf6");
+  });
+
+  it("has correct tagline", () => {
+    expect(TAGLINE).toBe("The Memory Layer for AI Agents");
+  });
+
+  it("has correct logo mini", () => {
+    expect(LOGO_MINI).toBe("◆ mem0");
+  });
+});
+
+describe("printSuccess", () => {
+  it("prints success message", () => {
+    printSuccess("Operation completed");
+    expect(output).toContain("Operation completed");
+  });
+});
+
+describe("printError", () => {
+  it("prints error message to stderr", () => {
+    printError("Something failed");
+    expect(errOutput).toContain("Something failed");
+  });
+
+  it("prints hint when provided to stderr", () => {
+    printError("Failed", "Try again");
+    expect(errOutput).toContain("Try again");
+  });
+});
+
+describe("printWarning", () => {
+  it("prints warning message to stderr", () => {
+    printWarning("Be careful");
+    expect(errOutput).toContain("Be careful");
+  });
+});
+
+describe("printInfo", () => {
+  it("prints info message", () => {
+    printInfo("Important note");
+    expect(errOutput).toContain("Important note");
+  });
+});
+
+describe("printScope", () => {
+  it("prints scope when IDs present", () => {
+    printScope({ user_id: "alice", agent_id: "bot" });
+    expect(errOutput).toContain("alice");
+    expect(errOutput).toContain("bot");
+  });
+
+  it("prints nothing when no IDs", () => {
+    printScope({});
+    expect(errOutput).toBe("");
+  });
+});

cli/node/tests/cli-integration.test.ts

@@ -0,0 +1,149 @@
+/**
+ * Integration tests — invoke CLI as subprocess to test end-to-end.
+ */
+
+import { describe, it, expect } from "vitest";
+import { execSync } from "node:child_process";
+import fs from "node:fs";
+import os from "node:os";
+import path from "node:path";
+
+function run(
+  args: string[],
+  opts: { home?: string; env?: Record<string, string> } = {},
+): { stdout: string; stderr: string; exitCode: number } {
+  const env = { ...process.env };
+  // Strip MEM0_ env vars
+  for (const key of Object.keys(env)) {
+    if (key.startsWith("MEM0_")) delete env[key];
+  }
+  if (opts.home) env.HOME = opts.home;
+  if (opts.env) Object.assign(env, opts.env);
+
+  try {
+    const stdout = execSync(
+      `npx tsx src/index.ts ${args.join(" ")}`,
+      { cwd: path.join(__dirname, ".."), env, encoding: "utf-8", timeout: 15000 },
+    );
+    return { stdout, stderr: "", exitCode: 0 };
+  } catch (e: any) {
+    return {
+      stdout: e.stdout ?? "",
+      stderr: e.stderr ?? "",
+      exitCode: e.status ?? 1,
+    };
+  }
+}
+
+describe("CLI Integration — help and version", () => {
+  it("shows help with --help", () => {
+    const result = run(["--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("mem0");
+    expect(result.stdout).toContain("add");
+    expect(result.stdout).toContain("search");
+  });
+
+  it("help --json produces valid JSON", () => {
+    const result = run(["help", "--json"]);
+    expect(result.exitCode).toBe(0);
+    const parsed = JSON.parse(result.stdout);
+    // spec may have cli.name or top-level name
+    const name = parsed.name ?? parsed.cli?.name;
+    expect(name).toBe("mem0");
+  });
+
+  it("shows add help", () => {
+    const result = run(["add", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("user-id");
+    expect(result.stdout).toContain("messages");
+  });
+
+  it("shows search help", () => {
+    const result = run(["search", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("top-k");
+  });
+
+  it("shows list help", () => {
+    const result = run(["list", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("page-size");
+  });
+
+  it("shows delete help with --all, --entity, --project", () => {
+    const result = run(["delete", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("--all");
+    expect(result.stdout).toContain("--entity");
+    expect(result.stdout).toContain("--project");
+    expect(result.stdout).toContain("--force");
+    expect(result.stdout.toLowerCase()).toContain("memory");
+  });
+
+  it("delete with no args errors", () => {
+    const result = run(["delete"]);
+    expect(result.exitCode).not.toBe(0);
+    const combined = result.stdout + result.stderr;
+    expect(combined).toContain("--all");
+  });
+
+  it("shows entity list help", () => {
+    const result = run(["entity", "list", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout.toLowerCase()).toContain("entitytype");
+  });
+
+  it("shows entity delete help", () => {
+    const result = run(["entity", "delete", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("--user-id");
+    expect(result.stdout).toContain("--force");
+  });
+
+  it("shows import help", () => {
+    const result = run(["import", "--help"]);
+    expect(result.exitCode).toBe(0);
+  });
+
+  it("add help has --graph flag", () => {
+    const result = run(["add", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("--graph");
+  });
+
+  it("search help has --graph flag", () => {
+    const result = run(["search", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("--graph");
+  });
+
+  it("list help has --graph flag", () => {
+    const result = run(["list", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("--graph");
+  });
+});
+
+describe("CLI Integration — isolated (clean home)", () => {
+  function cleanHome(): string {
+    return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-test-"));
+  }
+
+  it("add without API key errors", () => {
+    const home = cleanHome();
+    const result = run(["add", "test", "--user-id", "alice"], { home });
+    expect(result.exitCode).not.toBe(0);
+    const combined = result.stdout + result.stderr;
+    expect(combined.toLowerCase()).toMatch(/api.key|error/i);
+    fs.rmSync(home, { recursive: true, force: true });
+  });
+
+  it("config show works with clean home", () => {
+    const home = cleanHome();
+    const result = run(["config", "show"], { home });
+    expect(result.exitCode).toBe(0);
+    fs.rmSync(home, { recursive: true, force: true });
+  });
+});

cli/node/tests/commands.test.ts

@@ -0,0 +1,434 @@
+/**
+ * Tests for CLI commands using mock backend.
+ */
+
+import { describe, it, expect, vi, beforeEach } from "vitest";
+import { createMockBackend } from "./setup.js";
+import type { Backend } from "../src/backend/base.js";
+import { setAgentMode } from "../src/state.js";
+
+let mockBackend: Backend;
+
+// Capture console.log and console.error output
+let output: string;
+let errOutput: string;
+const originalLog = console.log;
+const originalError = console.error;
+
+beforeEach(() => {
+  mockBackend = createMockBackend();
+  output = "";
+  errOutput = "";
+  console.log = (...args: unknown[]) => {
+    output += args.map(String).join(" ") + "\n";
+  };
+  console.error = (...args: unknown[]) => {
+    errOutput += args.map(String).join(" ") + "\n";
+  };
+});
+
+// Restore after each test
+import { afterEach } from "vitest";
+afterEach(() => {
+  console.log = originalLog;
+  console.error = originalError;
+  setAgentMode(false);
+});
+
+describe("cmdAdd", () => {
+  it("adds text memory", async () => {
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, "I prefer dark mode", {
+      userId: "alice",
+      immutable: false,
+      noInfer: false,
+      enableGraph: false,
+      output: "text",
+    });
+    expect(mockBackend.add).toHaveBeenCalledOnce();
+  });
+
+  it("adds from messages JSON", async () => {
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, undefined, {
+      userId: "alice",
+      messages: JSON.stringify([{ role: "user", content: "I love Python" }]),
+      immutable: false,
+      noInfer: false,
+      enableGraph: false,
+      output: "text",
+    });
+    expect(mockBackend.add).toHaveBeenCalledOnce();
+  });
+
+  it("outputs json format", async () => {
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, "test", {
+      userId: "alice",
+      immutable: false,
+      noInfer: false,
+      enableGraph: false,
+      output: "json",
+    });
+    expect(output).toContain("results");
+  });
+
+  it("quiet mode produces no memory content", async () => {
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, "test", {
+      userId: "alice",
+      immutable: false,
+      noInfer: false,
+      enableGraph: false,
+      output: "quiet",
+    });
+    expect(output).not.toContain("dark mode");
+  });
+});
+
+describe("cmdAdd deduplicates PENDING", () => {
+  const DUPLICATE_PENDING = {
+    results: [
+      { status: "PENDING", event_id: "evt-dup" },
+      { status: "PENDING", event_id: "evt-dup" },
+    ],
+  };
+
+  it("text shows one pending block", async () => {
+    (mockBackend.add as ReturnType<typeof vi.fn>).mockResolvedValue(DUPLICATE_PENDING);
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, "test", {
+      userId: "alice",
+      immutable: false,
+      noInfer: false,
+      enableGraph: false,
+      output: "text",
+    });
+    expect(output.match(/Queued/g)?.length).toBe(1);
+  });
+
+  it("json shows one pending entry", async () => {
+    (mockBackend.add as ReturnType<typeof vi.fn>).mockResolvedValue(DUPLICATE_PENDING);
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, "test", {
+      userId: "alice",
+      immutable: false,
+      noInfer: false,
+      enableGraph: false,
+      output: "json",
+    });
+    const data = JSON.parse(output);
+    const pending = data.results.filter((r: Record<string, unknown>) => r.status === "PENDING");
+    expect(pending).toHaveLength(1);
+  });
+
+  it("agent shows one pending entry", async () => {
+    (mockBackend.add as ReturnType<typeof vi.fn>).mockResolvedValue(DUPLICATE_PENDING);
+    setAgentMode(true);
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, "test", {
+      userId: "alice",
+      immutable: false,
+      noInfer: false,
+      enableGraph: false,
+      output: "agent",
+    });
+    const data = JSON.parse(output);
+    expect(data.count).toBe(1);
+    expect(data.data).toHaveLength(1);
+  });
+});
+
+describe("cmdSearch", () => {
+  it("searches and shows results in text mode", async () => {
+    const { cmdSearch } = await import("../src/commands/memory.js");
+    await cmdSearch(mockBackend, "preferences", {
+      userId: "alice",
+      topK: 10,
+      threshold: 0.3,
+      rerank: false,
+      keyword: false,
+      enableGraph: false,
+      output: "text",
+    });
+    expect(output).toContain("Found 2");
+  });
+
+  it("outputs json format", async () => {
+    const { cmdSearch } = await import("../src/commands/memory.js");
+    await cmdSearch(mockBackend, "preferences", {
+      userId: "alice",
+      topK: 10,
+      threshold: 0.3,
+      rerank: false,
+      keyword: false,
+      enableGraph: false,
+      output: "json",
+    });
+    expect(output).toContain("memory");
+  });
+
+  it("shows no results message", async () => {
+    (mockBackend.search as ReturnType<typeof vi.fn>).mockResolvedValue([]);
+    const { cmdSearch } = await import("../src/commands/memory.js");
+    await cmdSearch(mockBackend, "nonexistent", {
+      userId: "alice",
+      topK: 10,
+      threshold: 0.3,
+      rerank: false,
+      keyword: false,
+      enableGraph: false,
+      output: "text",
+    });
+    expect(errOutput).toContain("No memories found");
+  });
+});
+
+describe("cmdGet", () => {
+  it("gets memory in text mode", async () => {
+    const { cmdGet } = await import("../src/commands/memory.js");
+    await cmdGet(mockBackend, "abc-123-def-456", { output: "text" });
+    expect(output).toContain("dark mode");
+  });
+
+  it("gets memory in json mode", async () => {
+    const { cmdGet } = await import("../src/commands/memory.js");
+    await cmdGet(mockBackend, "abc-123-def-456", { output: "json" });
+    expect(output).toContain("memory");
+  });
+});
+
+describe("cmdList", () => {
+  it("lists in table mode", async () => {
+    const { cmdList } = await import("../src/commands/memory.js");
+    await cmdList(mockBackend, {
+      userId: "alice",
+      page: 1,
+      pageSize: 100,
+      enableGraph: false,
+      output: "table",
+    });
+    expect(output).toContain("dark mode");
+  });
+
+  it("shows empty message", async () => {
+    (mockBackend.listMemories as ReturnType<typeof vi.fn>).mockResolvedValue([]);
+    const { cmdList } = await import("../src/commands/memory.js");
+    await cmdList(mockBackend, {
+      userId: "alice",
+      page: 1,
+      pageSize: 100,
+      enableGraph: false,
+      output: "text",
+    });
+    expect(errOutput).toContain("No memories found");
+  });
+});
+
+describe("cmdUpdate", () => {
+  it("updates memory", async () => {
+    const { cmdUpdate } = await import("../src/commands/memory.js");
+    await cmdUpdate(mockBackend, "abc-123", "New text", { output: "text" });
+    expect(output.toLowerCase()).toContain("updated");
+  });
+});
+
+describe("cmdDelete", () => {
+  it("deletes memory", async () => {
+    const { cmdDelete } = await import("../src/commands/memory.js");
+    await cmdDelete(mockBackend, "abc-123", { output: "text" });
+    expect(output.toLowerCase()).toContain("deleted");
+  });
+});
+
+describe("cmdDeleteAll", () => {
+  it("deletes all with force", async () => {
+    const { cmdDeleteAll } = await import("../src/commands/memory.js");
+    await cmdDeleteAll(mockBackend, {
+      force: true,
+      userId: "alice",
+      output: "text",
+    });
+    expect(output.toLowerCase()).toContain("deleted");
+  });
+});
+
+
+describe("cmdEntitiesList", () => {
+  it("lists users in table mode", async () => {
+    const { cmdEntitiesList } = await import("../src/commands/entities.js");
+    await cmdEntitiesList(mockBackend, "users", { output: "table" });
+    expect(output).toContain("alice");
+  });
+
+  it("lists in json mode", async () => {
+    const { cmdEntitiesList } = await import("../src/commands/entities.js");
+    await cmdEntitiesList(mockBackend, "users", { output: "json" });
+    expect(output).toContain("alice");
+  });
+});
+
+describe("cmdEventList", () => {
+  it("lists events in table mode", async () => {
+    const { cmdEventList } = await import("../src/commands/events.js");
+    await cmdEventList(mockBackend, { output: "table" });
+    expect(output).toContain("evt-abc-");
+    expect(output).toContain("ADD");
+    expect(output).toContain("SUCCEEDED");
+  });
+
+  it("lists events in json mode", async () => {
+    const { cmdEventList } = await import("../src/commands/events.js");
+    await cmdEventList(mockBackend, { output: "json" });
+    expect(output).toContain("evt-abc-123-def-456");
+    expect(output).toContain("evt-def-456-ghi-789");
+  });
+
+  it("shows empty message when no events", async () => {
+    (mockBackend.listEvents as ReturnType<typeof vi.fn>).mockResolvedValueOnce([]);
+    const { cmdEventList } = await import("../src/commands/events.js");
+    await cmdEventList(mockBackend, { output: "table" });
+    expect((output + errOutput).toLowerCase()).toContain("no events");
+  });
+});
+
+describe("cmdEventStatus", () => {
+  it("shows event details in text mode", async () => {
+    const { cmdEventStatus } = await import("../src/commands/events.js");
+    await cmdEventStatus(mockBackend, "evt-abc-123-def-456", { output: "text" });
+    expect(output).toContain("evt-abc-123-def-456");
+    expect(output).toContain("SUCCEEDED");
+  });
+
+  it("shows event details in json mode", async () => {
+    const { cmdEventStatus } = await import("../src/commands/events.js");
+    await cmdEventStatus(mockBackend, "evt-abc-123-def-456", { output: "json" });
+    expect(output).toContain("evt-abc-123-def-456");
+    expect(output).toContain("ADD");
+  });
+});
+
+describe("agent mode", () => {
+  it("cmdAdd outputs JSON envelope", async () => {
+    setAgentMode(true);
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, "test preference", {
+      userId: "alice",
+      immutable: false,
+      noInfer: false,
+      enableGraph: false,
+      output: "agent",
+    });
+    const parsed = JSON.parse(output.trim());
+    expect(parsed.status).toBe("success");
+    expect(parsed.command).toBe("add");
+    expect(parsed.data).toBeDefined();
+    expect(parsed.scope).toMatchObject({ user_id: "alice" });
+    expect(Object.keys(parsed.data[0]).sort()).toEqual(["event", "id", "memory"].sort());
+  });
+
+  it("cmdSearch outputs JSON envelope", async () => {
+    setAgentMode(true);
+    const { cmdSearch } = await import("../src/commands/memory.js");
+    await cmdSearch(mockBackend, "preferences", {
+      userId: "alice",
+      topK: 10,
+      threshold: 0.3,
+      rerank: false,
+      keyword: false,
+      enableGraph: false,
+      output: "agent",
+    });
+    const parsed = JSON.parse(output.trim());
+    expect(parsed.status).toBe("success");
+    expect(parsed.command).toBe("search");
+    expect(Array.isArray(parsed.data)).toBe(true);
+    expect(parsed.count).toBe(2);
+    const keys = Object.keys(parsed.data[0]);
+    expect(keys).toContain("id");
+    expect(keys).toContain("memory");
+    expect(keys).toContain("score");
+    expect(keys).toContain("created_at");
+    expect(keys).toContain("categories");
+    expect(keys).not.toContain("user_id");
+    expect(keys).not.toContain("agent_id");
+  });
+
+  it("cmdList outputs JSON envelope", async () => {
+    setAgentMode(true);
+    const { cmdList } = await import("../src/commands/memory.js");
+    await cmdList(mockBackend, {
+      userId: "alice",
+      page: 1,
+      pageSize: 100,
+      enableGraph: false,
+      output: "agent",
+    });
+    const parsed = JSON.parse(output.trim());
+    expect(parsed.status).toBe("success");
+    expect(parsed.command).toBe("list");
+    expect(Array.isArray(parsed.data)).toBe(true);
+    expect(parsed.count).toBe(2);
+    expect(Object.keys(parsed.data[0]).sort()).toEqual(["categories", "created_at", "id", "memory"]);
+  });
+
+  it("cmdGet outputs JSON envelope", async () => {
+    setAgentMode(true);
+    const { cmdGet } = await import("../src/commands/memory.js");
+    await cmdGet(mockBackend, "abc-123-def-456", { output: "agent" });
+    const parsed = JSON.parse(output.trim());
+    expect(parsed.status).toBe("success");
+    expect(parsed.command).toBe("get");
+    expect(parsed.data).toBeDefined();
+    expect(parsed.data).toMatchObject({ id: "abc-123-def-456" });
+    expect(Object.keys(parsed.data)).not.toContain("user_id");
+  });
+
+  it("cmdUpdate outputs JSON envelope", async () => {
+    setAgentMode(true);
+    const { cmdUpdate } = await import("../src/commands/memory.js");
+    await cmdUpdate(mockBackend, "abc-123", "Updated text", { output: "agent" });
+    const parsed = JSON.parse(output.trim());
+    expect(parsed.status).toBe("success");
+    expect(parsed.command).toBe("update");
+    expect(parsed.data).toBeDefined();
+  });
+
+  it("cmdDelete outputs JSON envelope", async () => {
+    setAgentMode(true);
+    const { cmdDelete } = await import("../src/commands/memory.js");
+    await cmdDelete(mockBackend, "abc-123", { output: "agent" });
+    const parsed = JSON.parse(output.trim());
+    expect(parsed.status).toBe("success");
+    expect(parsed.command).toBe("delete");
+    expect(parsed.data).toBeDefined();
+  });
+
+  it("cmdEventList outputs JSON envelope", async () => {
+    setAgentMode(true);
+    const { cmdEventList } = await import("../src/commands/events.js");
+    await cmdEventList(mockBackend, { output: "agent" });
+    const parsed = JSON.parse(output.trim());
+    expect(parsed.status).toBe("success");
+    expect(parsed.command).toBe("event list");
+    expect(Array.isArray(parsed.data)).toBe(true);
+    expect(parsed.count).toBe(2);
+    expect(Object.keys(parsed.data[0]).sort()).toEqual(
+      ["created_at", "event_type", "id", "latency", "status"],
+    );
+    expect(Object.keys(parsed.data[0])).not.toContain("updated_at");
+  });
+
+  it("cmdEventStatus outputs JSON envelope", async () => {
+    setAgentMode(true);
+    const { cmdEventStatus } = await import("../src/commands/events.js");
+    await cmdEventStatus(mockBackend, "evt-abc-123-def-456", { output: "agent" });
+    const parsed = JSON.parse(output.trim());
+    expect(parsed.status).toBe("success");
+    expect(parsed.command).toBe("event status");
+    expect(parsed.data).toBeDefined();
+    expect(parsed.data).toMatchObject({ id: "evt-abc-123-def-456" });
+    expect(parsed.data.results[0]).toHaveProperty("memory");
+    expect(parsed.data.results[0]).not.toHaveProperty("data");
+  });
+});

cli/node/tests/config.test.ts

@@ -0,0 +1,113 @@
+/**
+ * Tests for configuration management.
+ */
+
+import { describe, it, expect, beforeEach, afterEach } from "vitest";
+import fs from "node:fs";
+import os from "node:os";
+import path from "node:path";
+import {
+  createDefaultConfig,
+  loadConfig,
+  saveConfig,
+  redactKey,
+  getNestedValue,
+  setNestedValue,
+  CONFIG_DIR,
+  CONFIG_FILE,
+} from "../src/config.js";
+
+// Use a temp directory for config during tests
+let origConfigDir: string;
+let origConfigFile: string;
+let tmpDir: string;
+
+beforeEach(() => {
+  tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), "mem0-test-"));
+  // Monkey-patch the module-level constants
+  // We'll use env vars and direct file manipulation instead
+  // Clear MEM0_ env vars
+  for (const key of Object.keys(process.env)) {
+    if (key.startsWith("MEM0_")) {
+      delete process.env[key];
+    }
+  }
+});
+
+afterEach(() => {
+  fs.rmSync(tmpDir, { recursive: true, force: true });
+});
+
+describe("redactKey", () => {
+  it("returns '(not set)' for empty key", () => {
+    expect(redactKey("")).toBe("(not set)");
+  });
+
+  it("redacts short key", () => {
+    expect(redactKey("abc")).toBe("ab***");
+  });
+
+  it("redacts normal key", () => {
+    const result = redactKey("m0-abcdefgh12345678");
+    expect(result).toBe("m0-a...5678");
+    expect(result).not.toContain("abcdefgh");
+  });
+
+  it("redacts exactly 8-char key as short", () => {
+    expect(redactKey("12345678")).toBe("12***");
+  });
+});
+
+describe("createDefaultConfig", () => {
+  it("has correct defaults", () => {
+    const config = createDefaultConfig();
+    expect(config.platform.baseUrl).toBe("https://api.mem0.ai");
+    expect(config.platform.apiKey).toBe("");
+    expect(config.defaults.userId).toBe("");
+    expect(config.defaults.enableGraph).toBe(false);
+  });
+});
+
+describe("getNestedValue", () => {
+  it("gets platform.api_key", () => {
+    const config = createDefaultConfig();
+    config.platform.apiKey = "test-key";
+    expect(getNestedValue(config, "platform.api_key")).toBe("test-key");
+  });
+
+  it("returns undefined for nonexistent key", () => {
+    const config = createDefaultConfig();
+    expect(getNestedValue(config, "nonexistent.key")).toBeUndefined();
+  });
+
+  it("gets defaults.user_id", () => {
+    const config = createDefaultConfig();
+    config.defaults.userId = "alice";
+    expect(getNestedValue(config, "defaults.user_id")).toBe("alice");
+  });
+});
+
+describe("setNestedValue", () => {
+  it("sets platform.api_key", () => {
+    const config = createDefaultConfig();
+    expect(setNestedValue(config, "platform.api_key", "new-key")).toBe(true);
+    expect(config.platform.apiKey).toBe("new-key");
+  });
+
+  it("returns false for nonexistent key", () => {
+    const config = createDefaultConfig();
+    expect(setNestedValue(config, "nonexistent.key", "val")).toBe(false);
+  });
+
+  it("sets defaults.user_id", () => {
+    const config = createDefaultConfig();
+    expect(setNestedValue(config, "defaults.user_id", "bob")).toBe(true);
+    expect(config.defaults.userId).toBe("bob");
+  });
+
+  it("coerces boolean for enable_graph", () => {
+    const config = createDefaultConfig();
+    expect(setNestedValue(config, "defaults.enable_graph", "true")).toBe(true);
+    expect(config.defaults.enableGraph).toBe(true);
+  });
+});

cli/node/tests/output.test.ts

@@ -0,0 +1,198 @@
+/**
+ * Tests for output formatting.
+ */
+
+import { describe, it, expect, beforeEach, afterEach } from "vitest";
+import {
+  formatMemoriesText,
+  formatMemoriesTable,
+  formatJson,
+  formatSingleMemory,
+  formatAddResult,
+  printResultSummary,
+  sanitizeAgentData,
+} from "../src/output.js";
+
+let output: string;
+const originalLog = console.log;
+
+beforeEach(() => {
+  output = "";
+  console.log = (...args: unknown[]) => {
+    output += args.map(String).join(" ") + "\n";
+  };
+});
+
+afterEach(() => {
+  console.log = originalLog;
+});
+
+const sampleMemories = [
+  {
+    id: "abc-123-def-456",
+    memory: "User prefers dark mode",
+    score: 0.92,
+    created_at: "2026-02-15T10:30:00Z",
+    categories: ["preferences"],
+  },
+  {
+    id: "ghi-789-jkl-012",
+    memory: "User uses vim keybindings",
+    score: 0.78,
+    created_at: "2026-03-01T14:00:00Z",
+    categories: ["tools"],
+  },
+];
+
+describe("formatMemoriesText", () => {
+  it("shows count and memory content", () => {
+    formatMemoriesText(sampleMemories);
+    expect(output).toContain("Found 2");
+    expect(output).toContain("dark mode");
+    expect(output).toContain("vim keybindings");
+  });
+
+  it("shows scores and IDs", () => {
+    formatMemoriesText(sampleMemories);
+    expect(output).toContain("0.92");
+    expect(output).toContain("abc-123-");
+  });
+});
+
+describe("formatMemoriesTable", () => {
+  it("renders a table with memory content", () => {
+    formatMemoriesTable(sampleMemories);
+    expect(output).toContain("dark mode");
+  });
+});
+
+describe("formatJson", () => {
+  it("outputs valid JSON", () => {
+    formatJson({ key: "value" });
+    expect(JSON.parse(output)).toEqual({ key: "value" });
+  });
+});
+
+describe("formatSingleMemory", () => {
+  it("shows memory text in text mode", () => {
+    formatSingleMemory(sampleMemories[0], "text");
+    expect(output).toContain("dark mode");
+  });
+
+  it("outputs JSON in json mode", () => {
+    formatSingleMemory(sampleMemories[0], "json");
+    expect(output).toContain("memory");
+  });
+});
+
+describe("formatAddResult", () => {
+  it("shows ADD event", () => {
+    formatAddResult({
+      results: [{ id: "abc-123", memory: "Test", event: "ADD" }],
+    });
+    expect(output).toContain("Added");
+  });
+
+  it("shows PENDING event", () => {
+    formatAddResult({
+      results: [{ status: "PENDING", event_id: "evt-12345678" }],
+    });
+    expect(output).toContain("Queued");
+  });
+
+  it("deduplicates PENDING entries with same event_id", () => {
+    formatAddResult({
+      results: [
+        { status: "PENDING", event_id: "evt-dup" },
+        { status: "PENDING", event_id: "evt-dup" },
+      ],
+    });
+    // Should show only one PENDING block despite two entries with same event_id
+    expect(output.match(/Queued/g)?.length).toBe(1);
+    expect(output.match(/evt-dup/g)?.length).toBe(2); // event_id line + status hint line
+  });
+});
+
+describe("printResultSummary", () => {
+  it("shows count and duration", () => {
+    printResultSummary({ count: 5, durationSecs: 1.23 });
+    expect(output).toContain("5 results");
+    expect(output).toContain("1.23s");
+  });
+
+  it("handles singular", () => {
+    printResultSummary({ count: 1 });
+    expect(output).toContain("1 result");
+    expect(output).not.toContain("results");
+  });
+});
+
+describe("sanitizeAgentData", () => {
+  it("projects add results", () => {
+    const raw = [{ id: "abc", memory: "test", event: "ADD", metadata: { x: 1 }, categories: ["a"] }];
+    const result = sanitizeAgentData("add", raw) as Record<string, unknown>[];
+    expect(result).toEqual([{ id: "abc", memory: "test", event: "ADD" }]);
+  });
+
+  it("passes through PENDING add items", () => {
+    const raw = [{ status: "PENDING", event_id: "evt-123", noise: "x" }];
+    const result = sanitizeAgentData("add", raw) as Record<string, unknown>[];
+    expect(result).toEqual([{ status: "PENDING", event_id: "evt-123" }]);
+  });
+
+  it("projects search results", () => {
+    const raw = [{ id: "abc", memory: "test", score: 0.9, created_at: "2026-01-01", categories: ["a"], user_id: "u1" }];
+    const result = sanitizeAgentData("search", raw) as Record<string, unknown>[];
+    expect(result[0]).not.toHaveProperty("user_id");
+    expect(result[0]).toHaveProperty("score");
+  });
+
+  it("projects list results", () => {
+    const raw = [{ id: "abc", memory: "test", created_at: "2026-01-01", categories: ["a"], user_id: "u1" }];
+    const result = sanitizeAgentData("list", raw) as Record<string, unknown>[];
+    expect(Object.keys(result[0]).sort()).toEqual(["categories", "created_at", "id", "memory"]);
+  });
+
+  it("projects get result", () => {
+    const raw = { id: "abc", memory: "test", created_at: "2026-01-01", updated_at: "2026-01-02", categories: ["a"], metadata: { k: "v" }, user_id: "u1" };
+    const result = sanitizeAgentData("get", raw) as Record<string, unknown>;
+    expect(result).not.toHaveProperty("user_id");
+    expect(result).toHaveProperty("metadata");
+  });
+
+  it("projects update result", () => {
+    const raw = { id: "abc", memory: "updated", extra: "noise" };
+    const result = sanitizeAgentData("update", raw);
+    expect(result).toEqual({ id: "abc", memory: "updated" });
+  });
+
+  it("projects event list results", () => {
+    const raw = [{ id: "evt-1", event_type: "ADD", status: "SUCCEEDED", graph_status: null, latency: 100, created_at: "2026-01-01", updated_at: "2026-01-02" }];
+    const result = sanitizeAgentData("event list", raw) as Record<string, unknown>[];
+    expect(result[0]).not.toHaveProperty("updated_at");
+    expect(result[0]).not.toHaveProperty("graph_status");
+  });
+
+  it("flattens event status results", () => {
+    const raw = {
+      id: "evt-1", event_type: "ADD", status: "SUCCEEDED",
+      latency: 100, created_at: "2026-01-01", updated_at: "2026-01-02",
+      results: [{ id: "mem-1", event: "ADD", user_id: "alice", data: { memory: "dark mode" } }],
+    };
+    const result = sanitizeAgentData("event status", raw) as Record<string, unknown>;
+    const firstResult = (result.results as Record<string, unknown>[])[0];
+    expect(firstResult).toHaveProperty("memory", "dark mode");
+    expect(firstResult).not.toHaveProperty("data");
+  });
+
+  it("passes through status/config/import commands unchanged", () => {
+    const data = { key: "value", other: "stuff" };
+    for (const cmd of ["status", "import", "config show", "config get", "config set"]) {
+      expect(sanitizeAgentData(cmd, data)).toEqual(data);
+    }
+  });
+
+  it("handles null data", () => {
+    expect(sanitizeAgentData("add", null)).toBeNull();
+  });
+});

cli/node/tests/setup.ts

@@ -0,0 +1,112 @@
+/**
+ * Shared test helpers and mock factories for mem0 CLI tests.
+ */
+
+import { vi } from "vitest";
+import type { Backend } from "../src/backend/base.js";
+
+/** Create a mock backend with all methods stubbed with sensible defaults. */
+export function createMockBackend(): Backend {
+  return {
+    add: vi.fn().mockResolvedValue({
+      results: [
+        {
+          id: "abc-123-def-456",
+          memory: "User prefers dark mode",
+          event: "ADD",
+        },
+      ],
+    }),
+
+    search: vi.fn().mockResolvedValue([
+      {
+        id: "abc-123-def-456",
+        memory: "User prefers dark mode",
+        score: 0.92,
+        created_at: "2026-02-15T10:30:00Z",
+        categories: ["preferences"],
+      },
+      {
+        id: "ghi-789-jkl-012",
+        memory: "User uses vim keybindings",
+        score: 0.78,
+        created_at: "2026-03-01T14:00:00Z",
+        categories: ["tools"],
+      },
+    ]),
+
+    get: vi.fn().mockResolvedValue({
+      id: "abc-123-def-456",
+      memory: "User prefers dark mode",
+      created_at: "2026-02-15T10:30:00Z",
+      updated_at: "2026-02-20T08:00:00Z",
+      metadata: { source: "onboarding" },
+      categories: ["preferences"],
+    }),
+
+    listMemories: vi.fn().mockResolvedValue([
+      {
+        id: "abc-123-def-456",
+        memory: "User prefers dark mode",
+        created_at: "2026-02-15T10:30:00Z",
+        categories: ["preferences"],
+      },
+      {
+        id: "ghi-789-jkl-012",
+        memory: "User uses vim keybindings",
+        created_at: "2026-03-01T14:00:00Z",
+        categories: ["tools"],
+      },
+    ]),
+
+    update: vi.fn().mockResolvedValue({ id: "abc-123-def-456", memory: "Updated memory" }),
+    delete: vi.fn().mockResolvedValue({ status: "deleted" }),
+    status: vi.fn().mockResolvedValue({
+      connected: true,
+      backend: "platform",
+      base_url: "https://api.mem0.ai",
+    }),
+    deleteEntities: vi.fn().mockResolvedValue({ message: "Entity deleted" }),
+    entities: vi.fn().mockResolvedValue([
+      { name: "alice", count: 5 },
+      { name: "bob", count: 3 },
+    ]),
+    listEvents: vi.fn().mockResolvedValue([
+      {
+        id: "evt-abc-123-def-456",
+        event_type: "ADD",
+        status: "SUCCEEDED",
+        graph_status: null,
+        latency: 1234.5,
+        created_at: "2026-04-01T10:00:00Z",
+        updated_at: "2026-04-01T10:00:01Z",
+      },
+      {
+        id: "evt-def-456-ghi-789",
+        event_type: "SEARCH",
+        status: "PENDING",
+        graph_status: null,
+        latency: null,
+        created_at: "2026-04-01T10:01:00Z",
+        updated_at: "2026-04-01T10:01:00Z",
+      },
+    ]),
+    getEvent: vi.fn().mockResolvedValue({
+      id: "evt-abc-123-def-456",
+      event_type: "ADD",
+      status: "SUCCEEDED",
+      graph_status: "SUCCEEDED",
+      latency: 1234.5,
+      created_at: "2026-04-01T10:00:00Z",
+      updated_at: "2026-04-01T10:00:01Z",
+      results: [
+        {
+          id: "mem-abc-123",
+          event: "ADD",
+          user_id: "alice",
+          data: { memory: "User prefers dark mode" },
+        },
+      ],
+    }),
+  };
+}

cli/node/tsconfig.json

@@ -0,0 +1,18 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "ESNext",
+    "moduleResolution": "bundler",
+    "strict": true,
+    "outDir": "dist",
+    "rootDir": "src",
+    "declaration": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "resolveJsonModule": true,
+    "isolatedModules": true
+  },
+  "include": ["src/**/*.ts"],
+  "exclude": ["node_modules", "dist", "tests"]
+}

cli/node/tsup.config.ts

@@ -0,0 +1,15 @@
+import { defineConfig } from 'tsup';
+import { createRequire } from 'node:module';
+
+const _require = createRequire(import.meta.url);
+const pkg = _require('./package.json');
+
+export default defineConfig({
+  entry: ['src/index.ts'],
+  format: ['esm'],
+  dts: true,
+  clean: true,
+  define: {
+    __CLI_VERSION__: JSON.stringify(pkg.version),
+  },
+});

cli/node/vitest.config.ts

@@ -0,0 +1,11 @@
+import { createRequire } from "node:module";
+import { defineConfig } from "vitest/config";
+
+const _require = createRequire(import.meta.url);
+const pkg = _require("./package.json") as { version: string };
+
+export default defineConfig({
+	define: {
+		__CLI_VERSION__: JSON.stringify(pkg.version),
+	},
+});

cli/python/Makefile

@@ -0,0 +1,43 @@
+VENV := .venv
+PYTHON := $(VENV)/bin/python
+PIP := $(VENV)/bin/pip
+
+.PHONY: install dev lint format test build clean publish publish-test shell
+
+$(VENV)/bin/activate:
+	python3 -m venv $(VENV)
+	$(PIP) install -U pip
+
+install: $(VENV)/bin/activate
+	$(PIP) install -e .
+
+dev: $(VENV)/bin/activate
+	$(PIP) install -e ".[dev]"
+
+lint: dev
+	$(VENV)/bin/ruff check .
+	$(VENV)/bin/ruff format --check .
+
+format: dev
+	$(VENV)/bin/ruff check --fix .
+	$(VENV)/bin/ruff format .
+
+test: dev
+	$(VENV)/bin/pytest
+
+build: clean $(VENV)/bin/activate
+	$(PIP) install hatch
+	$(VENV)/bin/hatch build
+
+clean:
+	rm -rf dist/
+
+publish: build
+	$(VENV)/bin/hatch publish
+
+publish-test: build
+	$(VENV)/bin/hatch publish --repo test
+
+shell: $(VENV)/bin/activate
+	@echo "Spawning a new shell with the virtual environment activated..."
+	@VIRTUAL_ENV=$(CURDIR)/$(VENV) PATH=$(CURDIR)/$(VENV)/bin:$$PATH exec $(SHELL)

cli/python/README.md

@@ -0,0 +1,349 @@
+# mem0 CLI (Python)
+
+The official command-line interface for [mem0](https://mem0.ai) — the memory layer for AI agents. Python implementation.
+
+> **Built for AI agents.** Pass `--agent` (or `--json`) as a global flag on any command to get structured JSON output optimized for programmatic consumption — sanitized fields, no colors or spinners, and errors as JSON too.
+
+## Prerequisites
+
+- Python **3.10+**
+
+## Installation
+
+### Using pipx (recommended)
+
+```bash
+pipx install mem0-cli
+```
+
+### Using pip
+
+```bash
+pip install mem0-cli
+```
+
+> **Note:** On macOS with Homebrew Python, `pip install` outside a virtual environment will fail with an `externally-managed-environment` error ([PEP 668](https://peps.python.org/pep-0668/)). Use `pipx` instead, or install inside a virtual environment.
+
+## Quick start
+
+```bash
+# Interactive setup wizard
+mem0 init
+
+# Or login via email
+mem0 init --email alice@company.com
+
+# Or authenticate with an existing API key
+mem0 init --api-key m0-xxx
+
+# Add a memory
+mem0 add "I prefer dark mode and use vim keybindings" --user-id alice
+
+# Search memories
+mem0 search "What are Alice's preferences?" --user-id alice
+
+# List all memories for a user
+mem0 list --user-id alice
+
+# Get a specific memory
+mem0 get <memory-id>
+
+# Update a memory
+mem0 update <memory-id> "I switched to light mode"
+
+# Delete a memory
+mem0 delete <memory-id>
+```
+
+## Commands
+
+### `mem0 init`
+
+Interactive setup wizard. Prompts for your API key and default user ID.
+
+```bash
+mem0 init
+mem0 init --api-key m0-xxx --user-id alice
+mem0 init --email alice@company.com
+```
+
+If an existing configuration is detected, the CLI asks for confirmation before overwriting. Use `--force` to skip the prompt (useful in CI/CD).
+
+```bash
+mem0 init --api-key m0-xxx --user-id alice --force
+```
+
+| Flag | Description |
+|------|-------------|
+| `--api-key` | API key (skip prompt) |
+| `-u, --user-id` | Default user ID (skip prompt) |
+| `--email` | Login via email verification code |
+| `--code` | Verification code (use with `--email` for non-interactive login) |
+| `--force` | Overwrite existing config without confirmation |
+
+### `mem0 add`
+
+Add a memory from text, a JSON messages array, a file, or stdin.
+
+```bash
+mem0 add "I prefer dark mode" --user-id alice
+mem0 add --file conversation.json --user-id alice
+echo "Loves hiking on weekends" | mem0 add --user-id alice
+```
+
+| Flag | Description |
+|------|-------------|
+| `-u, --user-id` | Scope to a user |
+| `--agent-id` | Scope to an agent |
+| `--messages` | Conversation messages as JSON |
+| `-f, --file` | Read messages from a JSON file |
+| `-m, --metadata` | Custom metadata as JSON |
+| `--categories` | Categories (JSON array or comma-separated) |
+| `--graph / --no-graph` | Enable or disable graph memory extraction |
+| `-o, --output` | Output format: `text`, `json`, `quiet` |
+
+### `mem0 search`
+
+Search memories using natural language.
+
+```bash
+mem0 search "dietary restrictions" --user-id alice
+mem0 search "preferred tools" --user-id alice --output json --top-k 5
+```
+
+| Flag | Description |
+|------|-------------|
+| `-u, --user-id` | Filter by user |
+| `-k, --top-k` | Number of results (default: 10) |
+| `--threshold` | Minimum similarity score (default: 0.3) |
+| `--rerank` | Enable reranking |
+| `--keyword` | Use keyword search instead of semantic |
+| `--filter` | Advanced filter expression (JSON) |
+| `--graph / --no-graph` | Enable or disable graph in search |
+| `-o, --output` | Output format: `text`, `json`, `table` |
+
+### `mem0 list`
+
+List memories with optional filters and pagination.
+
+```bash
+mem0 list --user-id alice
+mem0 list --user-id alice --category preferences --output json
+mem0 list --user-id alice --after 2024-01-01 --page-size 50
+```
+
+| Flag | Description |
+|------|-------------|
+| `-u, --user-id` | Filter by user |
+| `--page` | Page number (default: 1) |
+| `--page-size` | Results per page (default: 100) |
+| `--category` | Filter by category |
+| `--after` | Created after date (YYYY-MM-DD) |
+| `--before` | Created before date (YYYY-MM-DD) |
+| `-o, --output` | Output format: `text`, `json`, `table` |
+
+### `mem0 get`
+
+Retrieve a specific memory by ID.
+
+```bash
+mem0 get 7b3c1a2e-4d5f-6789-abcd-ef0123456789
+mem0 get 7b3c1a2e-4d5f-6789-abcd-ef0123456789 --output json
+```
+
+### `mem0 update`
+
+Update the text or metadata of an existing memory.
+
+```bash
+mem0 update <memory-id> "Updated preference text"
+mem0 update <memory-id> --metadata '{"priority": "high"}'
+echo "new text" | mem0 update <memory-id>
+```
+
+### `mem0 delete`
+
+Delete a single memory, all memories for a scope, or an entire entity.
+
+```bash
+# Delete a single memory
+mem0 delete <memory-id>
+
+# Delete all memories for a user
+mem0 delete --all --user-id alice --force
+
+# Delete all memories project-wide
+mem0 delete --all --project --force
+
+# Preview what would be deleted
+mem0 delete --all --user-id alice --dry-run
+```
+
+| Flag | Description |
+|------|-------------|
+| `--all` | Delete all memories matching scope filters |
+| `--entity` | Delete the entity and all its memories |
+| `--project` | With `--all`: delete all memories project-wide |
+| `--dry-run` | Preview without deleting |
+| `--force` | Skip confirmation prompt |
+
+### `mem0 import`
+
+Bulk import memories from a JSON file.
+
+```bash
+mem0 import data.json --user-id alice
+```
+
+The file should be a JSON array where each item has a `memory` (or `text` or `content`) field and optional `user_id`, `agent_id`, and `metadata` fields.
+
+### `mem0 config`
+
+View or modify the local CLI configuration.
+
+```bash
+mem0 config show              # Display current config (secrets redacted)
+mem0 config get api_key       # Get a specific value
+mem0 config set user_id bob   # Set a value
+```
+
+### `mem0 entity`
+
+List or delete entities (users, agents, apps, runs).
+
+```bash
+mem0 entity list users
+mem0 entity list agents --output json
+mem0 entity delete --user-id alice --force
+```
+
+### `mem0 event`
+
+Inspect background processing events created by async operations (e.g. bulk deletes, large add jobs).
+
+```bash
+# List recent events
+mem0 event list
+
+# Check the status of a specific event
+mem0 event status <event-id>
+```
+
+| Flag | Description |
+|------|-------------|
+| `-o, --output` | Output format: `text`, `json` |
+
+### `mem0 status`
+
+Verify your API connection and display the current project.
+
+```bash
+mem0 status
+```
+
+### `mem0 version`
+
+Print the CLI version.
+
+```bash
+mem0 version
+```
+
+## Agent mode
+
+Pass `--agent` (or its alias `--json`) as a **global flag** on any command to get output designed for AI agent tool loops:
+
+```bash
+mem0 --agent search "user preferences" --user-id alice
+mem0 --agent add "User prefers dark mode" --user-id alice
+mem0 --agent list --user-id alice
+mem0 --agent delete --all --user-id alice --force
+```
+
+Every command returns the same envelope shape:
+
+```json
+{
+  "status": "success",
+  "command": "search",
+  "duration_ms": 134,
+  "scope": { "user_id": "alice" },
+  "count": 2,
+  "data": [
+    { "id": "abc-123", "memory": "User prefers dark mode", "score": 0.97, "created_at": "2026-01-15", "categories": ["preferences"] }
+  ]
+}
+```
+
+What agent mode does differently from `--output json`:
+
+- **Sanitized `data`**: only the fields an agent needs (id, memory, score, etc.) — no internal API noise
+- **No human output**: spinners, colors, and banners are suppressed entirely
+- **Errors as JSON**: errors go to stdout as `{"status": "error", "command": "...", "error": "..."}` with a non-zero exit code
+
+Use `mem0 help --json` to get the full command tree as JSON — useful for agents that need to self-discover available commands.
+
+## Output formats
+
+Control how results are displayed with `--output`:
+
+| Format | Description |
+|--------|-------------|
+| `text` | Human-readable with colors and formatting (default) |
+| `json` | Structured JSON for piping to `jq` (raw API response) |
+| `table` | Tabular format (default for `list`) |
+| `quiet` | Minimal — just IDs or status codes |
+| `agent` | Structured JSON envelope with sanitized fields (set by `--agent`/`--json`) |
+
+## Global flags
+
+These flags are available on all commands:
+
+| Flag | Description |
+|------|-------------|
+| `--json` | Enable agent mode: structured JSON envelope output, no colors or spinners |
+| `--agent` | Alias for `--json` |
+| `--api-key` | Override the configured API key for this request |
+| `--base-url` | Override the configured API base URL for this request |
+| `-o, --output` | Set the output format |
+
+## Environment variables
+
+| Variable | Description |
+|----------|-------------|
+| `MEM0_API_KEY` | API key (overrides config file) |
+| `MEM0_BASE_URL` | API base URL |
+| `MEM0_USER_ID` | Default user ID |
+| `MEM0_AGENT_ID` | Default agent ID |
+| `MEM0_APP_ID` | Default app ID |
+| `MEM0_RUN_ID` | Default run ID |
+| `MEM0_ENABLE_GRAPH` | Enable graph memory (`true` / `false`) |
+
+Environment variables take precedence over values in the config file, which take precedence over defaults.
+
+## Development
+
+```bash
+cd cli/python
+python -m venv .venv && source .venv/bin/activate
+pip install -e ".[dev]"
+
+# Run during development
+python -m mem0_cli --help
+mem0 add "test memory" --user-id alice
+```
+
+## Releasing
+
+1. Update `version` in `pyproject.toml`
+2. Create a GitHub Release with tag `cli-v<version>` (e.g. `cli-v0.2.1`)
+
+For a pre-release, use a beta version like `0.2.1b1` and check the **pre-release** checkbox.
+
+## Documentation
+
+Full documentation is available at [docs.mem0.ai/platform/cli](https://docs.mem0.ai/platform/cli).
+
+## License
+
+Apache-2.0

cli/python/development.md

@@ -0,0 +1,107 @@
+# Development
+
+## Prerequisites
+
+- Python **3.10+**
+- `make` (optional — you can use plain Python commands instead)
+
+All commands below should be run from the `python/` directory:
+
+```bash
+cd python
+```
+
+## Setup
+
+### Using Make (recommended)
+
+All `make` targets automatically create a virtual environment (`.venv/`) and install the required dependencies — no manual setup needed.
+
+```bash
+# Install the CLI in editable mode
+make install
+
+# Install with dev tools (tests + linting)
+make dev
+```
+
+### Using Python directly
+
+```bash
+python3 -m venv .venv
+source .venv/bin/activate
+python -m pip install -U pip
+
+# Install in editable mode
+pip install -e .
+
+# With dev tools
+pip install -e ".[dev]"
+```
+
+## Make targets
+
+| Target              | Description                                      |
+| ------------------- | ------------------------------------------------ |
+| `make install`      | Create venv and install the CLI (editable mode)  |
+| `make dev`          | Create venv and install CLI + dev dependencies   |
+| `make test`         | Run all tests (installs dev deps if needed)      |
+| `make lint`         | Run linter and format check                      |
+| `make format`       | Auto-fix lint issues and format code             |
+| `make build`        | Build distribution packages                      |
+| `make clean`        | Remove `dist/`                                   |
+| `make publish`      | Build and publish to PyPI                        |
+| `make publish-test` | Build and publish to Test PyPI                   |
+| `make shell`        | Open a new shell with the venv activated         |
+
+## Run tests
+
+```bash
+# Using Make
+make test
+
+# Using Python directly
+pytest
+
+# Run a specific test file
+pytest tests/test_cli_integration.py
+
+# Run a single test
+pytest -k test_help
+```
+
+## Run the CLI
+
+```bash
+# Using Make — drop into an activated shell
+make shell
+mem0 --help
+
+# Using Python directly (with venv activated)
+source .venv/bin/activate
+mem0 --help
+mem0 version
+
+# Or run without activating
+.venv/bin/mem0 --help
+```
+
+## Lint
+
+```bash
+# Using Make
+make lint      # check only
+make format    # auto-fix
+
+# Using Python directly (with venv activated)
+ruff check .
+ruff format .
+```
+
+## Optional extras
+
+### OSS integration
+
+```bash
+pip install -e ".[oss]"
+```

cli/python/pyproject.toml

@@ -0,0 +1,77 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "mem0-cli"
+version = "0.2.1"
+description = "The official CLI for mem0 — the memory layer for AI agents"
+readme = "README.md"
+license = "Apache-2.0"
+requires-python = ">=3.10"
+authors = [
+    { name = "mem0.ai", email = "founders@mem0.ai" },
+]
+keywords = ["mem0", "memory", "ai", "agents", "cli"]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Environment :: Console",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved :: Apache Software License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Topic :: Software Development :: Libraries",
+]
+dependencies = [
+    "typer>=0.9.0",
+    "rich>=13.0.0",
+    "httpx>=0.24.0",
+]
+
+[project.optional-dependencies]
+oss = ["mem0ai>=0.1.0"]
+dev = [
+    "pytest>=7.0",
+    "pytest-asyncio>=0.21",
+    "ruff>=0.1.0",
+]
+
+[project.scripts]
+mem0 = "mem0_cli.app:main"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/mem0_cli"]
+
+[tool.hatch.build.targets.sdist]
+include = ["src/mem0_cli"]
+
+[tool.ruff]
+target-version = "py310"
+line-length = 100
+
+[tool.ruff.lint]
+select = [
+    "E",    # pycodestyle errors
+    "F",    # pyflakes
+    "I",    # isort (import sorting)
+    "W",    # pycodestyle warnings
+    "UP",   # pyupgrade (modern Python syntax)
+    "B",    # flake8-bugbear (common bugs)
+    "SIM",  # flake8-simplify
+    "RUF",  # ruff-specific rules
+]
+ignore = [
+    "E501",   # line too long — handled by formatter
+    "B008",   # function call in default arg — required by Typer's Option/Argument pattern
+    "SIM108", # ternary operator — sometimes less readable
+]
+
+[tool.ruff.lint.isort]
+known-first-party = ["mem0_cli"]
+
+[tool.ruff.format]
+quote-style = "double"
+indent-style = "space"
+docstring-code-format = true

cli/python/src/mem0_cli/__init__.py

@@ -0,0 +1,3 @@
+"""mem0 CLI — the command-line interface for the mem0 memory layer."""
+
+__version__ = "0.2.1"

cli/python/src/mem0_cli/__main__.py

@@ -0,0 +1,5 @@
+"""Allow running with `python -m mem0_cli`."""
+
+from mem0_cli.app import main
+
+main()

cli/python/src/mem0_cli/backend/__init__.py

@@ -0,0 +1,5 @@
+"""Backend abstraction layer for mem0 CLI."""
+
+from mem0_cli.backend.base import Backend, get_backend
+
+__all__ = ["Backend", "get_backend"]

cli/python/src/mem0_cli/backend/base.py

@@ -0,0 +1,118 @@
+"""Abstract backend interface and factory."""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from typing import Any
+
+from mem0_cli.config import Mem0Config
+
+
+class Backend(ABC):
+    """Abstract interface for mem0 backends."""
+
+    @abstractmethod
+    def add(
+        self,
+        content: str | None = None,
+        messages: list[dict] | None = None,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+        metadata: dict | None = None,
+        immutable: bool = False,
+        infer: bool = True,
+        expires: str | None = None,
+        categories: list[str] | None = None,
+        enable_graph: bool = False,
+    ) -> dict: ...
+
+    @abstractmethod
+    def search(
+        self,
+        query: str,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+        top_k: int = 10,
+        threshold: float = 0.3,
+        rerank: bool = False,
+        keyword: bool = False,
+        filters: dict | None = None,
+        fields: list[str] | None = None,
+        enable_graph: bool = False,
+    ) -> list[dict]: ...
+
+    @abstractmethod
+    def get(self, memory_id: str) -> dict: ...
+
+    @abstractmethod
+    def list_memories(
+        self,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+        page: int = 1,
+        page_size: int = 100,
+        category: str | None = None,
+        after: str | None = None,
+        before: str | None = None,
+        enable_graph: bool = False,
+    ) -> list[dict]: ...
+
+    @abstractmethod
+    def update(
+        self, memory_id: str, content: str | None = None, metadata: dict | None = None
+    ) -> dict: ...
+
+    @abstractmethod
+    def delete(
+        self,
+        memory_id: str | None = None,
+        *,
+        all: bool = False,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+    ) -> dict: ...
+
+    @abstractmethod
+    def delete_entities(
+        self,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+    ) -> dict: ...
+
+    @abstractmethod
+    def status(
+        self,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+    ) -> dict[str, Any]: ...
+
+    @abstractmethod
+    def entities(self, entity_type: str) -> list[dict]: ...
+
+    @abstractmethod
+    def list_events(self) -> list[dict]: ...
+
+    @abstractmethod
+    def get_event(self, event_id: str) -> dict: ...
+
+
+def get_backend(config: Mem0Config) -> Backend:
+    """Return the Platform backend."""
+    from mem0_cli.backend.platform import PlatformBackend
+
+    return PlatformBackend(config.platform)

cli/python/src/mem0_cli/backend/platform.py

@@ -0,0 +1,324 @@
+"""Platform (SaaS) backend — communicates with api.mem0.ai."""
+
+from __future__ import annotations
+
+from typing import Any
+
+import httpx
+
+from mem0_cli.backend.base import Backend
+from mem0_cli.config import PlatformConfig
+
+
+class PlatformBackend(Backend):
+    """Backend that talks to the mem0 Platform API."""
+
+    def __init__(self, config: PlatformConfig) -> None:
+        self.config = config
+        self.base_url = config.base_url.rstrip("/")
+        self._client = httpx.Client(
+            base_url=self.base_url,
+            headers={
+                "Authorization": f"Token {config.api_key}",
+                "Content-Type": "application/json",
+            },
+            timeout=30.0,
+        )
+
+    def _request(self, method: str, path: str, **kwargs: Any) -> Any:
+        resp = self._client.request(method, path, **kwargs)
+        if resp.status_code == 401:
+            raise AuthError("Authentication failed. Your API key may be invalid or expired.")
+        if resp.status_code == 404:
+            raise NotFoundError(f"Resource not found: {path}")
+        if resp.status_code == 400:
+            # Extract API error detail when available
+            try:
+                detail = resp.json().get("detail", resp.text)
+            except Exception:
+                detail = resp.text
+            raise APIError(f"Bad request to {path}: {detail}")
+        resp.raise_for_status()
+        if resp.status_code == 204:
+            return {}
+        return resp.json()
+
+    def add(
+        self,
+        content: str | None = None,
+        messages: list[dict] | None = None,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+        metadata: dict | None = None,
+        immutable: bool = False,
+        infer: bool = True,
+        expires: str | None = None,
+        categories: list[str] | None = None,
+        enable_graph: bool = False,
+    ) -> dict:
+        payload: dict[str, Any] = {}
+
+        if messages:
+            payload["messages"] = messages
+        elif content:
+            payload["messages"] = [{"role": "user", "content": content}]
+
+        if user_id:
+            payload["user_id"] = user_id
+        if agent_id:
+            payload["agent_id"] = agent_id
+        if app_id:
+            payload["app_id"] = app_id
+        if run_id:
+            payload["run_id"] = run_id
+        if metadata:
+            payload["metadata"] = metadata
+        if immutable:
+            payload["immutable"] = True
+        if not infer:
+            payload["infer"] = False
+        if expires:
+            payload["expiration_date"] = expires
+        if categories:
+            payload["categories"] = categories
+        if enable_graph:
+            payload["enable_graph"] = True
+
+        return self._request("POST", "/v1/memories/", json=payload)
+
+    def _build_filters(
+        self,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+        extra_filters: dict | None = None,
+    ) -> dict | None:
+        """Build a filters dict for v2 API endpoints.
+
+        Entity IDs are ANDed (all provided IDs must match).
+        Extra filters (date ranges, categories) are also ANDed.
+        """
+        # If caller passed a pre-built filter structure (e.g. --filter from CLI), use it directly
+        if extra_filters and ("AND" in extra_filters or "OR" in extra_filters):
+            return extra_filters
+
+        # Build AND conditions for entity IDs
+        and_conditions: list[dict[str, Any]] = []
+        if user_id:
+            and_conditions.append({"user_id": user_id})
+        if agent_id:
+            and_conditions.append({"agent_id": agent_id})
+        if app_id:
+            and_conditions.append({"app_id": app_id})
+        if run_id:
+            and_conditions.append({"run_id": run_id})
+
+        # Append any extra filters (dates, categories)
+        if extra_filters:
+            for k, v in extra_filters.items():
+                and_conditions.append({k: v})
+
+        if len(and_conditions) == 1:
+            return and_conditions[0]
+        elif and_conditions:
+            return {"AND": and_conditions}
+        else:
+            return None
+
+    def search(
+        self,
+        query: str,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+        top_k: int = 10,
+        threshold: float = 0.3,
+        rerank: bool = False,
+        keyword: bool = False,
+        filters: dict | None = None,
+        fields: list[str] | None = None,
+        enable_graph: bool = False,
+    ) -> list[dict]:
+        payload: dict[str, Any] = {"query": query, "top_k": top_k, "threshold": threshold}
+
+        api_filters = self._build_filters(
+            user_id=user_id,
+            agent_id=agent_id,
+            app_id=app_id,
+            run_id=run_id,
+            extra_filters=filters,
+        )
+        if api_filters:
+            payload["filters"] = api_filters
+        if rerank:
+            payload["rerank"] = True
+        if keyword:
+            payload["keyword_search"] = True
+        if fields:
+            payload["fields"] = fields
+        if enable_graph:
+            payload["enable_graph"] = True
+
+        result = self._request("POST", "/v2/memories/search/", json=payload)
+        return (
+            result
+            if isinstance(result, list)
+            else result.get("results", result.get("memories", []))
+        )
+
+    def get(self, memory_id: str) -> dict:
+        return self._request("GET", f"/v1/memories/{memory_id}/")
+
+    def list_memories(
+        self,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+        page: int = 1,
+        page_size: int = 100,
+        category: str | None = None,
+        after: str | None = None,
+        before: str | None = None,
+        enable_graph: bool = False,
+    ) -> list[dict]:
+        payload: dict[str, Any] = {}
+        params = {"page": str(page), "page_size": str(page_size)}
+
+        # Build filters for v2 API — entity IDs and date filters go inside "filters"
+        extra: dict[str, Any] = {}
+        if category:
+            extra["categories"] = {"contains": category}
+        if after:
+            extra["created_at"] = {**(extra.get("created_at", {})), "gte": after}
+        if before:
+            extra["created_at"] = {**(extra.get("created_at", {})), "lte": before}
+
+        api_filters = self._build_filters(
+            user_id=user_id,
+            agent_id=agent_id,
+            app_id=app_id,
+            run_id=run_id,
+            extra_filters=extra if extra else None,
+        )
+        if api_filters:
+            payload["filters"] = api_filters
+        if enable_graph:
+            payload["enable_graph"] = True
+
+        result = self._request("POST", "/v2/memories/", json=payload, params=params)
+        return (
+            result
+            if isinstance(result, list)
+            else result.get("results", result.get("memories", []))
+        )
+
+    def update(
+        self, memory_id: str, content: str | None = None, metadata: dict | None = None
+    ) -> dict:
+        payload: dict[str, Any] = {}
+        if content:
+            payload["text"] = content
+        if metadata:
+            payload["metadata"] = metadata
+        return self._request("PUT", f"/v1/memories/{memory_id}/", json=payload)
+
+    def delete(
+        self,
+        memory_id: str | None = None,
+        *,
+        all: bool = False,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+    ) -> dict:
+        if all:
+            params: dict[str, str] = {}
+            if user_id:
+                params["user_id"] = user_id
+            if agent_id:
+                params["agent_id"] = agent_id
+            if app_id:
+                params["app_id"] = app_id
+            if run_id:
+                params["run_id"] = run_id
+            return self._request("DELETE", "/v1/memories/", params=params)
+        elif memory_id:
+            return self._request("DELETE", f"/v1/memories/{memory_id}/")
+        else:
+            raise ValueError("Either memory_id or --all is required")
+
+    def delete_entities(
+        self,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+        app_id: str | None = None,
+        run_id: str | None = None,
+    ) -> dict:
+        # v2 endpoint: DELETE /v2/entities/{entity_type}/{entity_id}/
+        type_map = {
+            "user": user_id,
+            "agent": agent_id,
+            "app": app_id,
+            "run": run_id,
+        }
+        entities = {t: v for t, v in type_map.items() if v}
+        if not entities:
+            raise ValueError("At least one entity ID is required for delete_entities.")
+        # Delete each provided entity via the v2 path-based endpoint
+        result: dict = {}
+        for entity_type, entity_id in entities.items():
+            result = self._request("DELETE", f"/v2/entities/{entity_type}/{entity_id}/")
+        return result
+
+    def status(
+        self,
+        *,
+        user_id: str | None = None,
+        agent_id: str | None = None,
+    ) -> dict[str, Any]:
+        """Check connectivity using the ping endpoint."""
+        try:
+            self._request("GET", "/v1/ping/")
+            return {"connected": True, "backend": "platform", "base_url": self.base_url}
+        except Exception as e:
+            return {"connected": False, "backend": "platform", "error": str(e)}
+
+    def entities(self, entity_type: str) -> list[dict]:
+        result = self._request("GET", "/v1/entities/")
+        items = result if isinstance(result, list) else result.get("results", [])
+        # Filter by entity type client-side (API returns all types)
+        type_map = {"users": "user", "agents": "agent", "apps": "app", "runs": "run"}
+        target_type = type_map.get(entity_type)
+        if target_type:
+            items = [e for e in items if e.get("type", "").lower() == target_type]
+        return items
+
+    def list_events(self) -> list[dict]:
+        result = self._request("GET", "/v1/events/")
+        return result if isinstance(result, list) else result.get("results", [])
+
+    def get_event(self, event_id: str) -> dict:
+        return self._request("GET", f"/v1/event/{event_id}/")
+
+
+class AuthError(Exception):
+    pass
+
+
+class NotFoundError(Exception):
+    pass
+
+
+class APIError(Exception):
+    pass

cli/python/src/mem0_cli/branding.py

@@ -0,0 +1,176 @@
+"""Branding and ASCII art for mem0 CLI."""
+
+import os
+import sys
+import time
+from contextlib import contextmanager
+
+from rich.console import Console
+from rich.panel import Panel
+from rich.status import Status
+from rich.text import Text
+
+# stderr console for spinners, errors, and timing messages
+_err = Console(stderr=True)
+
+LOGO = r"""
+███╗   ███╗███████╗███╗   ███╗ ██████╗      ██████╗██╗     ██╗
+████╗ ████║██╔════╝████╗ ████║██╔═████╗    ██╔════╝██║     ██║
+██╔████╔██║█████╗  ██╔████╔██║██║██╔██║    ██║     ██║     ██║
+██║╚██╔╝██║██╔══╝  ██║╚██╔╝██║████╔╝██║    ██║     ██║     ██║
+██║ ╚═╝ ██║███████╗██║ ╚═╝ ██║╚██████╔╝    ╚██████╗███████╗██║
+╚═╝     ╚═╝╚══════╝╚═╝     ╚═╝ ╚═════╝      ╚═════╝╚══════╝╚═╝
+"""
+
+LOGO_MINI = "◆ mem0"
+
+TAGLINE = "The Memory Layer for AI Agents"
+
+BRAND_COLOR = "#8b5cf6"  # Purple
+ACCENT_COLOR = "#a78bfa"
+SUCCESS_COLOR = "#22c55e"
+ERROR_COLOR = "#ef4444"
+WARNING_COLOR = "#f59e0b"
+DIM_COLOR = "#6b7280"
+
+
+def _sym(fancy: str, plain: str) -> str:
+    """Return *fancy* when stdout is a TTY with colour, else *plain*."""
+    if not sys.stdout.isatty() or os.environ.get("NO_COLOR") is not None:
+        return plain
+    return fancy
+
+
+def print_banner(console: Console) -> None:
+    """Print the mem0 welcome banner."""
+    from mem0_cli.state import is_agent_mode
+
+    if is_agent_mode():
+        return
+    logo_text = Text(LOGO, style=f"bold {BRAND_COLOR}")
+    tagline = Text(f"  {TAGLINE}\n", style=f"{ACCENT_COLOR}")
+
+    content = Text()
+    content.append_text(logo_text)
+    content.append_text(tagline)
+
+    panel = Panel(
+        content,
+        border_style=BRAND_COLOR,
+        padding=(0, 2),
+        subtitle=f"[{DIM_COLOR}]Python SDK · v{_get_version()}[/]",
+        subtitle_align="right",
+    )
+    console.print(panel)
+
+
+def print_success(console: Console, message: str) -> None:
+    from mem0_cli.state import is_agent_mode
+
+    if is_agent_mode():
+        return
+    sym = _sym("✓", "[ok]")
+    console.print(f"[{SUCCESS_COLOR}]{sym}[/] {message}")
+
+
+def print_error(console: Console, message: str, hint: str | None = None) -> None:
+    from mem0_cli.state import get_current_command, is_agent_mode
+
+    if is_agent_mode():
+        import json as _json
+
+        envelope = {
+            "status": "error",
+            "command": get_current_command(),
+            "error": message,
+            "data": None,
+        }
+        print(_json.dumps(envelope))
+        return
+    sym = _sym("✗", "[error]")
+    console.print(f"[{ERROR_COLOR}]{sym} Error:[/] {message}")
+    if hint:
+        console.print(f"  [{DIM_COLOR}]{hint}[/]")
+
+
+def print_warning(console: Console, message: str) -> None:
+    from mem0_cli.state import is_agent_mode
+
+    if is_agent_mode():
+        return
+    sym = _sym("⚠", "[warn]")
+    console.print(f"[{WARNING_COLOR}]{sym}[/] {message}")
+
+
+def print_info(console: Console, message: str) -> None:
+    from mem0_cli.state import is_agent_mode
+
+    if is_agent_mode():
+        return
+    sym = _sym("◆", "*")
+    console.print(f"[{BRAND_COLOR}]{sym}[/] {message}")
+
+
+@contextmanager
+def timed_status(console: Console, message: str):
+    """Spinner with automatic timing. Yields a context object for setting the final message.
+
+    The spinner and timing output are sent to stderr (via ``_err``) so they
+    never contaminate machine-readable stdout.  The *console* parameter is
+    kept for backward compatibility but is not used for spinner output.
+    In agent mode the spinner is suppressed entirely.
+    """
+    from mem0_cli.state import is_agent_mode
+
+    class _Ctx:
+        def __init__(self):
+            self.success_msg = ""
+            self.error_msg = ""
+
+    ctx = _Ctx()
+    if is_agent_mode():
+        try:
+            yield ctx
+        except Exception:
+            raise
+        return
+
+    start = time.perf_counter()
+    try:
+        with Status(f"[{DIM_COLOR}]{message}[/]", console=_err):
+            yield ctx
+    except Exception:
+        elapsed = time.perf_counter() - start
+        if ctx.error_msg:
+            print_error(_err, f"{ctx.error_msg} ({elapsed:.2f}s)")
+            if "Authentication failed" in ctx.error_msg:
+                _err.print(
+                    f"  [{DIM_COLOR}]Run [bold]mem0 init[/bold] to reconfigure your API key"
+                    f" · [bold]https://app.mem0.ai/dashboard/api-keys[/bold][/]"
+                )
+        raise
+    else:
+        elapsed = time.perf_counter() - start
+        if ctx.success_msg:
+            print_success(_err, f"{ctx.success_msg} ({elapsed:.2f}s)")
+
+
+def print_scope(console: Console, **ids: str | None) -> None:
+    """Show active entity scope if any IDs are set."""
+    from mem0_cli.state import is_agent_mode
+
+    if is_agent_mode():
+        return
+    parts = []
+    for key, val in ids.items():
+        if val:
+            parts.append(f"{key}={val}")
+    if parts:
+        scope_str = ", ".join(parts)
+        console.print(f"  [{DIM_COLOR}]Scope: {scope_str}[/]")
+
+
+def _get_version() -> str:
+    from mem0_cli import __version__
+
+    return __version__

cli/python/src/mem0_cli/commands/__init__.py

@@ -0,0 +1 @@
+"""CLI command modules."""

cli/python/src/mem0_cli/commands/config_cmd.py

@@ -0,0 +1,132 @@
+"""Config management commands: show, set, get."""
+
+from __future__ import annotations
+
+from rich.console import Console
+from rich.table import Table
+
+from mem0_cli.branding import ACCENT_COLOR, BRAND_COLOR, DIM_COLOR, print_error, print_success
+from mem0_cli.config import (
+    get_nested_value,
+    load_config,
+    redact_key,
+    save_config,
+    set_nested_value,
+)
+
+console = Console()
+err_console = Console(stderr=True)
+
+
+def cmd_config_show(*, output: str = "text") -> None:
+    """Display current configuration (secrets redacted)."""
+    from mem0_cli.output import format_agent_envelope
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("config show")
+    if is_agent_mode():
+        output = "agent"
+
+    config = load_config()
+
+    if output in ("json", "agent"):
+        format_agent_envelope(
+            console,
+            command="config show",
+            data={
+                "defaults": {
+                    "user_id": config.defaults.user_id or None,
+                    "agent_id": config.defaults.agent_id or None,
+                    "app_id": config.defaults.app_id or None,
+                    "run_id": config.defaults.run_id or None,
+                    "enable_graph": config.defaults.enable_graph,
+                },
+                "platform": {
+                    "api_key": redact_key(config.platform.api_key),
+                    "base_url": config.platform.base_url,
+                },
+            },
+        )
+        return
+
+    console.print()
+    console.print(f"  [{BRAND_COLOR}]◆ mem0 Configuration[/]\n")
+
+    table = Table(border_style=BRAND_COLOR, header_style=f"bold {ACCENT_COLOR}", padding=(0, 2))
+    table.add_column("Key", style="bold")
+    table.add_column("Value")
+
+    # Defaults
+    table.add_row(
+        "defaults.user_id",
+        config.defaults.user_id or f"[{DIM_COLOR}](not set)[/]",
+    )
+    table.add_row(
+        "defaults.agent_id",
+        config.defaults.agent_id or f"[{DIM_COLOR}](not set)[/]",
+    )
+    table.add_row(
+        "defaults.app_id",
+        config.defaults.app_id or f"[{DIM_COLOR}](not set)[/]",
+    )
+    table.add_row(
+        "defaults.run_id",
+        config.defaults.run_id or f"[{DIM_COLOR}](not set)[/]",
+    )
+    table.add_row(
+        "defaults.enable_graph",
+        str(config.defaults.enable_graph).lower(),
+    )
+    table.add_row("", "")
+
+    # Platform
+    table.add_row("[bold]platform.api_key[/]", redact_key(config.platform.api_key))
+    table.add_row("platform.base_url", config.platform.base_url)
+
+    console.print(table)
+    console.print()
+
+
+def cmd_config_get(key: str) -> None:
+    """Get a config value."""
+    from mem0_cli.output import format_agent_envelope
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("config get")
+    config = load_config()
+    value = get_nested_value(config, key)
+
+    if value is None:
+        print_error(err_console, f"Unknown config key: {key}")
+        return
+
+    display_value = (
+        redact_key(str(value)) if ("api_key" in key or "key" in key.split(".")[-1:]) else str(value)
+    )
+
+    if is_agent_mode():
+        format_agent_envelope(
+            console, command="config get", data={"key": key, "value": display_value}
+        )
+    else:
+        console.print(display_value)
+
+
+def cmd_config_set(key: str, value: str) -> None:
+    """Set a config value."""
+    from mem0_cli.output import format_agent_envelope
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("config set")
+    config = load_config()
+    if set_nested_value(config, key, value):
+        save_config(config)
+        display = redact_key(value) if "key" in key else value
+        if is_agent_mode():
+            format_agent_envelope(
+                console, command="config set", data={"key": key, "value": display}
+            )
+        else:
+            print_success(console, f"{key} = {display}")
+    else:
+        print_error(err_console, f"Unknown config key: {key}")

cli/python/src/mem0_cli/commands/entities.py

@@ -0,0 +1,168 @@
+"""Entity management commands."""
+
+from __future__ import annotations
+
+import time as _time
+
+import typer
+from rich.console import Console
+from rich.table import Table
+
+from mem0_cli.backend.base import Backend
+from mem0_cli.branding import (
+    ACCENT_COLOR,
+    BRAND_COLOR,
+    DIM_COLOR,
+    print_error,
+    print_info,
+    print_success,
+    timed_status,
+)
+from mem0_cli.output import format_agent_envelope, format_json
+
+console = Console()
+err_console = Console(stderr=True)
+
+
+def cmd_entities_list(backend: Backend, entity_type: str, *, output: str) -> None:
+    """List entities of a given type."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("entity list")
+    if is_agent_mode():
+        output = "agent"
+    valid_types = {"users", "agents", "apps", "runs"}
+    if entity_type not in valid_types:
+        print_error(
+            err_console, f"Invalid entity type: {entity_type}. Use: {', '.join(valid_types)}"
+        )
+        raise typer.Exit(1)
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, f"Fetching {entity_type}...") as _ts:
+        try:
+            results = backend.entities(entity_type)
+        except Exception as e:
+            print_error(err_console, str(e), hint="This feature may require the mem0 Platform.")
+            raise typer.Exit(1) from None
+    _elapsed = _time.perf_counter() - _start
+
+    if output == "agent":
+        format_agent_envelope(
+            console,
+            command="entity list",
+            data=results,
+            count=len(results),
+            duration_ms=int(_elapsed * 1000),
+        )
+        return
+
+    if output == "json":
+        format_json(console, results)
+        return
+
+    if not results:
+        print_info(console, f"No {entity_type} found.")
+        return
+
+    table = Table(border_style=BRAND_COLOR, header_style=f"bold {ACCENT_COLOR}", padding=(0, 1))
+    table.add_column("Name / ID", style="bold")
+    table.add_column("Created", max_width=12)
+
+    for entity in results:
+        name = entity.get("name", entity.get("id", "—"))
+        created = str(entity.get("created_at", "—"))[:10]
+        table.add_row(str(name), created)
+
+    console.print()
+    console.print(table)
+    console.print(f"  [{DIM_COLOR}]{len(results)} {entity_type} ({_elapsed:.2f}s)[/]")
+    console.print()
+
+
+def cmd_entities_delete(
+    backend: Backend,
+    *,
+    user_id: str | None,
+    agent_id: str | None,
+    app_id: str | None,
+    run_id: str | None,
+    force: bool,
+    dry_run: bool = False,
+    output: str,
+) -> None:
+    """Delete an entity and all its memories (cascade delete)."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("entity delete")
+    if is_agent_mode():
+        output = "agent"
+        if not force:
+            print_error(err_console, "Destructive operation requires --force in agent mode.")
+            raise typer.Exit(1)
+    if not any([user_id, agent_id, app_id, run_id]):
+        print_error(
+            err_console, "Provide at least one of --user-id, --agent-id, --app-id, --run-id."
+        )
+        raise typer.Exit(1)
+
+    scope_parts = []
+    if user_id:
+        scope_parts.append(f"user={user_id}")
+    if agent_id:
+        scope_parts.append(f"agent={agent_id}")
+    if app_id:
+        scope_parts.append(f"app={app_id}")
+    if run_id:
+        scope_parts.append(f"run={run_id}")
+    scope_str = ", ".join(scope_parts)
+
+    if dry_run:
+        print_info(console, f"Would delete entity {scope_str} and all its memories.")
+        print_info(console, "No changes made (dry run).")
+        return
+
+    if not force:
+        confirm = typer.confirm(
+            f"\n  \u26a0  Delete entity {scope_str} AND all its memories? This cannot be undone."
+        )
+        if not confirm:
+            print_info(console, "Cancelled.")
+            raise typer.Exit(0)
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Deleting entity...") as _ts:
+        try:
+            result = backend.delete_entities(
+                user_id=user_id,
+                agent_id=agent_id,
+                app_id=app_id,
+                run_id=run_id,
+            )
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+    _elapsed = _time.perf_counter() - _start
+
+    scope = {
+        k: v
+        for k, v in {
+            "user_id": user_id,
+            "agent_id": agent_id,
+            "app_id": app_id,
+            "run_id": run_id,
+        }.items()
+        if v
+    }
+    if output == "agent":
+        format_agent_envelope(
+            console,
+            command="entity delete",
+            data={"deleted": True},
+            scope=scope or None,
+            duration_ms=int(_elapsed * 1000),
+        )
+    elif output == "json":
+        format_json(console, result)
+    elif output != "quiet":
+        print_success(console, f"Entity deleted with all memories ({_elapsed:.2f}s)")

cli/python/src/mem0_cli/commands/events_cmd.py

@@ -0,0 +1,176 @@
+"""Event commands: list and status."""
+
+from __future__ import annotations
+
+import typer
+from rich.console import Console
+from rich.panel import Panel
+from rich.table import Table
+
+from mem0_cli.backend.base import Backend
+from mem0_cli.branding import (
+    ACCENT_COLOR,
+    BRAND_COLOR,
+    DIM_COLOR,
+    ERROR_COLOR,
+    SUCCESS_COLOR,
+    WARNING_COLOR,
+    print_info,
+    timed_status,
+)
+from mem0_cli.output import format_agent_envelope, format_json
+
+console = Console()
+err_console = Console(stderr=True)
+
+_STATUS_STYLE = {
+    "SUCCEEDED": f"[{SUCCESS_COLOR}]SUCCEEDED[/]",
+    "PENDING": f"[{ACCENT_COLOR}]PENDING[/]",
+    "FAILED": f"[{ERROR_COLOR}]FAILED[/]",
+    "PROCESSING": f"[{WARNING_COLOR}]PROCESSING[/]",
+}
+
+
+def _status_styled(status: str) -> str:
+    return _STATUS_STYLE.get(status.upper(), status)
+
+
+def cmd_event_list(backend: Backend, *, output: str = "table") -> None:
+    """List recent background events."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("event list")
+    if is_agent_mode():
+        output = "agent"
+    import time as _time
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Fetching events...") as _ts:
+        try:
+            results = backend.list_events()
+        except Exception as e:
+            _ts.error_msg = str(e)
+            raise typer.Exit(1) from None
+
+    _elapsed = _time.perf_counter() - _start
+
+    if output == "agent":
+        format_agent_envelope(
+            console,
+            command="event list",
+            data=results,
+            count=len(results),
+            duration_ms=int(_elapsed * 1000),
+        )
+        return
+
+    if output == "json":
+        format_json(console, results)
+        return
+
+    if not results:
+        console.print()
+        print_info(console, "No events found.")
+        console.print()
+        return
+
+    table = Table(
+        border_style=BRAND_COLOR,
+        header_style=f"bold {ACCENT_COLOR}",
+        row_styles=["", "dim"],
+        padding=(0, 1),
+    )
+    table.add_column("Event ID", style="dim", max_width=10, no_wrap=True)
+    table.add_column("Type", max_width=14)
+    table.add_column("Status", max_width=12)
+    table.add_column("Latency", max_width=10, justify="right")
+    table.add_column("Created", max_width=20)
+
+    for ev in results:
+        ev_id = str(ev.get("id", ""))[:8]
+        ev_type = str(ev.get("event_type", "—"))
+        status = str(ev.get("status", "—"))
+        latency = ev.get("latency")
+        latency_str = f"{latency:.0f}ms" if isinstance(latency, (int, float)) else "—"
+        created = str(ev.get("created_at", "—"))[:19].replace("T", " ")
+        table.add_row(ev_id, ev_type, _status_styled(status), latency_str, created)
+
+    console.print()
+    console.print(table)
+    console.print(f"  [{DIM_COLOR}]{len(results)} event{'s' if len(results) != 1 else ''}[/]")
+    console.print()
+
+
+def cmd_event_status(backend: Backend, event_id: str, *, output: str = "text") -> None:
+    """Get the status of a specific background event."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("event status")
+    if is_agent_mode():
+        output = "agent"
+    import time as _time
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Fetching event...") as _ts:
+        try:
+            ev = backend.get_event(event_id)
+        except Exception as e:
+            _ts.error_msg = str(e)
+            raise typer.Exit(1) from None
+
+    _elapsed = _time.perf_counter() - _start
+
+    if output == "agent":
+        format_agent_envelope(
+            console,
+            command="event status",
+            data=ev,
+            duration_ms=int(_elapsed * 1000),
+        )
+        return
+
+    if output == "json":
+        format_json(console, ev)
+        return
+
+    status = str(ev.get("status", "—"))
+    ev_type = str(ev.get("event_type", "—"))
+    latency = ev.get("latency")
+    latency_str = f"{latency:.0f}ms" if isinstance(latency, (int, float)) else "—"
+    created = str(ev.get("created_at", "—"))[:19].replace("T", " ")
+    updated = str(ev.get("updated_at", "—"))[:19].replace("T", " ")
+    results = ev.get("results")
+
+    lines = []
+    lines.append(f"  [{DIM_COLOR}]Event ID:[/]     {event_id}")
+    lines.append(f"  [{DIM_COLOR}]Type:[/]         {ev_type}")
+    lines.append(f"  [{DIM_COLOR}]Status:[/]       {_status_styled(status)}")
+    lines.append(f"  [{DIM_COLOR}]Latency:[/]      {latency_str}")
+    lines.append(f"  [{DIM_COLOR}]Created:[/]      {created}")
+    lines.append(f"  [{DIM_COLOR}]Updated:[/]      {updated}")
+
+    if results:
+        lines.append("")
+        lines.append(f"  [{DIM_COLOR}]Results ({len(results)}):[/]")
+        for r in results:
+            mem_id = str(r.get("id", ""))[:8]
+            data = r.get("data", {})
+            memory = data.get("memory", "") if isinstance(data, dict) else str(data)
+            ev_name = str(r.get("event", ""))
+            user = str(r.get("user_id", ""))
+            detail = f"{ev_name}  {memory}"
+            if user:
+                detail += f"  [{DIM_COLOR}](user_id={user})[/]"
+            lines.append(f"    [{SUCCESS_COLOR}]·[/] {detail}  [{DIM_COLOR}]({mem_id})[/]")
+
+    content = "\n".join(lines)
+    panel = Panel(
+        content,
+        title=f"[{BRAND_COLOR}]Event Status[/]",
+        title_align="left",
+        border_style=BRAND_COLOR,
+        padding=(1, 1),
+    )
+    console.print()
+    console.print(panel)
+    console.print()

cli/python/src/mem0_cli/commands/init_cmd.py

@@ -0,0 +1,394 @@
+"""mem0 init — interactive setup wizard."""
+
+from __future__ import annotations
+
+import os
+import re
+import sys
+
+import httpx
+import typer
+from rich.console import Console
+from rich.prompt import Prompt
+
+from mem0_cli.branding import (
+    BRAND_COLOR,
+    DIM_COLOR,
+    print_banner,
+    print_error,
+    print_info,
+    print_success,
+)
+from mem0_cli.config import CONFIG_FILE, DEFAULT_BASE_URL, Mem0Config, load_config, save_config
+
+console = Console()
+err_console = Console(stderr=True)
+
+
+def _prompt_secret(label: str) -> str:
+    """Prompt for a secret value, echoing '*' for each character typed."""
+    sys.stdout.write(label)
+    sys.stdout.flush()
+
+    chars: list[str] = []
+
+    if sys.platform == "win32":
+        import msvcrt
+
+        while True:
+            ch = msvcrt.getwch()
+            if ch in ("\r", "\n"):
+                sys.stdout.write("\n")
+                sys.stdout.flush()
+                break
+            if ch == "\x03":
+                raise KeyboardInterrupt
+            if ch in ("\x08", "\x7f"):  # backspace
+                if chars:
+                    chars.pop()
+                    sys.stdout.write("\b \b")
+                    sys.stdout.flush()
+            else:
+                chars.append(ch)
+                sys.stdout.write("*")
+                sys.stdout.flush()
+    else:
+        import termios
+        import tty
+
+        fd = sys.stdin.fileno()
+        old_settings = termios.tcgetattr(fd)
+        try:
+            tty.setraw(fd)
+            while True:
+                ch = sys.stdin.read(1)
+                if ch in ("\r", "\n"):
+                    sys.stdout.write("\r\n")
+                    sys.stdout.flush()
+                    break
+                if ch == "\x03":
+                    raise KeyboardInterrupt
+                if ch in ("\x7f", "\x08"):  # backspace/delete
+                    if chars:
+                        chars.pop()
+                        sys.stdout.write("\b \b")
+                        sys.stdout.flush()
+                elif ch == "\x15":  # Ctrl+U — clear line
+                    sys.stdout.write("\b \b" * len(chars))
+                    sys.stdout.flush()
+                    chars = []
+                elif ch >= " ":  # ignore other control characters
+                    chars.append(ch)
+                    sys.stdout.write("*")
+                    sys.stdout.flush()
+        finally:
+            termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
+
+    return "".join(chars)
+
+
+_EMAIL_RE = re.compile(r"^[^@\s]+@[^@\s]+\.[^@\s]+$")
+
+
+def _validate_email(email: str) -> None:
+    """Exit with an error if *email* doesn't look like a valid address."""
+    if not _EMAIL_RE.match(email):
+        print_error(err_console, f"Invalid email address: {email!r}")
+        raise typer.Exit(1)
+
+
+def _email_login(
+    email: str,
+    code: str | None,
+    base_url: str,
+) -> dict:
+    """Run the email verification code login flow.
+
+    Returns the parsed JSON response from the verify endpoint.
+    The caller expects at minimum an ``api_key`` field.
+    """
+    url = base_url.rstrip("/")
+
+    with httpx.Client(timeout=30.0) as client:
+        # If code is already provided, skip sending — user already has a code
+        if not code:
+            # Step 1: Request verification code
+            resp = client.post(
+                f"{url}/api/v1/auth/email_code/",
+                json={"email": email},
+            )
+            if resp.status_code == 429:
+                print_error(err_console, "Too many attempts. Try again in a few minutes.")
+                raise typer.Exit(1)
+            if resp.status_code != 200:
+                try:
+                    detail = resp.json().get("error", resp.text)
+                except Exception:
+                    detail = resp.text
+                print_error(err_console, f"Failed to send code: {detail}")
+                raise typer.Exit(1)
+
+            print_success(console, "Verification code sent! Check your email.")
+
+            # Step 2: Get code from user
+            if not sys.stdin.isatty():
+                print_error(
+                    err_console,
+                    "No --code provided and terminal is non-interactive.",
+                    hint="Run: mem0 init --email <email> --code <code>",
+                )
+                raise typer.Exit(1)
+            console.print()
+            code = Prompt.ask(f"  [{BRAND_COLOR}]Verification Code[/]")
+            if not code:
+                print_error(err_console, "Code is required.")
+                raise typer.Exit(1)
+
+        # Step 3: Verify code
+        resp = client.post(
+            f"{url}/api/v1/auth/email_code/verify/",
+            json={"email": email, "code": code.strip()},
+        )
+        if resp.status_code == 429:
+            print_error(err_console, "Too many attempts. Try again in a few minutes.")
+            raise typer.Exit(1)
+        if resp.status_code != 200:
+            try:
+                detail = resp.json().get("error", resp.text)
+            except Exception:
+                detail = resp.text
+            print_error(err_console, f"Verification failed: {detail}")
+            raise typer.Exit(1)
+
+        return resp.json()
+
+
+def run_init(
+    *,
+    api_key: str | None = None,
+    user_id: str | None = None,
+    email: str | None = None,
+    code: str | None = None,
+    force: bool = False,
+) -> None:
+    """Interactive setup wizard for mem0 CLI.
+
+    When both *api_key* and *user_id* are supplied, all prompts are skipped
+    (non-interactive mode).  When running in a non-TTY without the required
+    flags, an error message is printed.
+    """
+    config = Mem0Config()
+
+    base_url = os.environ.get("MEM0_BASE_URL", config.platform.base_url or DEFAULT_BASE_URL)
+
+    if code and not email:
+        print_error(err_console, "--code requires --email.")
+        raise typer.Exit(1)
+
+    # Warn if an existing config with an API key would be overwritten
+    if not force and CONFIG_FILE.exists():
+        existing = load_config()
+        if existing.platform.api_key:
+            from mem0_cli.config import redact_key
+
+            console.print(
+                f"\n  [{BRAND_COLOR}]Existing configuration found[/] "
+                f"[{DIM_COLOR}](API key: {redact_key(existing.platform.api_key)})[/]"
+            )
+            if sys.stdin.isatty():
+                confirm = typer.confirm("  Overwrite existing config? This cannot be undone.")
+                if not confirm:
+                    print_info(console, "Cancelled. Use --force to skip this check.")
+                    raise typer.Exit(0)
+            else:
+                print_error(
+                    err_console,
+                    "Existing config would be overwritten.",
+                    hint="Use --force to overwrite.",
+                )
+                raise typer.Exit(1)
+
+    # ── Email login flow ──────────────────────────────────────────────
+    if email:
+        if api_key:
+            print_error(err_console, "Cannot use both --api-key and --email.")
+            raise typer.Exit(1)
+
+        email = email.strip().lower()
+        _validate_email(email)
+
+        print_banner(console)
+        console.print()
+        print_info(console, f"Logging in as {email}...\n")
+
+        result = _email_login(email, code, base_url)
+
+        api_key_val = result.get("api_key")
+        if not api_key_val:
+            print_error(err_console, "Auth succeeded but no API key was returned. Contact support.")
+            raise typer.Exit(1)
+        config.platform.api_key = api_key_val
+        config.platform.base_url = base_url
+        config.defaults.user_id = (
+            user_id or os.environ.get("USER") or os.environ.get("USERNAME") or "mem0-cli"
+        )
+
+        save_config(config)
+
+        console.print()
+        print_success(console, "Authenticated! Configuration saved to ~/.mem0/config.json")
+        console.print()
+        console.print(f"  [{DIM_COLOR}]Get started:[/]")
+        console.print(f'  [{DIM_COLOR}]  mem0 add "I prefer dark mode"[/]')
+        console.print(f'  [{DIM_COLOR}]  mem0 search "preferences"[/]')
+        console.print()
+        return
+
+    # ── API key flow (existing) ───────────────────────────────────────
+
+    # Non-TTY: resolve defaults so partial flags work in pipelines / CI
+    if not sys.stdin.isatty():
+        if not api_key:
+            print_error(
+                err_console,
+                "Non-interactive terminal detected and --api-key is required.",
+                hint="Run: mem0 init --api-key <key> [--user-id <id>]",
+            )
+            raise typer.Exit(1)
+        user_id = user_id or os.environ.get("USER") or os.environ.get("USERNAME") or "mem0-cli"
+
+    # Fully non-interactive when both flags provided
+    if api_key and user_id:
+        config.platform.api_key = api_key
+        config.defaults.user_id = user_id
+        _validate_platform(config)
+        save_config(config)
+        print_success(console, "Configuration saved to ~/.mem0/config.json")
+        return
+
+    print_banner(console)
+    console.print()
+    print_info(console, "Welcome! Let's set up your mem0 CLI.\n")
+
+    # If no flags at all, ask user how they want to authenticate
+    if not api_key:
+        console.print(f"  [{BRAND_COLOR}]How would you like to authenticate?[/]")
+        console.print(f"  [{DIM_COLOR}]1.[/] Login with email [{DIM_COLOR}](recommended)[/]")
+        console.print(f"  [{DIM_COLOR}]2.[/] Enter API key manually")
+        console.print()
+        choice = Prompt.ask(f"  [{BRAND_COLOR}]Choose[/]", choices=["1", "2"], default="1")
+
+        if choice == "1":
+            console.print()
+            email_addr = Prompt.ask(f"  [{BRAND_COLOR}]Email[/]")
+            if not email_addr:
+                print_error(err_console, "Email is required.")
+                raise typer.Exit(1)
+
+            email_addr = email_addr.strip().lower()
+            _validate_email(email_addr)
+            print_info(console, f"Logging in as {email_addr}...\n")
+
+            result = _email_login(email_addr, None, base_url)
+
+            api_key_val = result.get("api_key")
+            if not api_key_val:
+                print_error(
+                    err_console, "Auth succeeded but no API key was returned. Contact support."
+                )
+                raise typer.Exit(1)
+            config.platform.api_key = api_key_val
+            config.platform.base_url = base_url
+            config.defaults.user_id = (
+                user_id or os.environ.get("USER") or os.environ.get("USERNAME") or "mem0-cli"
+            )
+
+            save_config(config)
+
+            console.print()
+            print_success(console, "Authenticated! Configuration saved to ~/.mem0/config.json")
+            console.print()
+            console.print(f"  [{DIM_COLOR}]Get started:[/]")
+            console.print(f'  [{DIM_COLOR}]  mem0 add "I prefer dark mode"[/]')
+            console.print(f'  [{DIM_COLOR}]  mem0 search "preferences"[/]')
+            console.print()
+            return
+
+    # API key flow
+    if api_key:
+        config.platform.api_key = api_key
+    else:
+        _setup_platform(config)
+
+    if user_id:
+        config.defaults.user_id = user_id
+    else:
+        _setup_defaults(config)
+
+    _validate_platform(config)
+
+    save_config(config)
+    console.print()
+    print_success(console, "Configuration saved to ~/.mem0/config.json")
+    console.print()
+    console.print(f"  [{DIM_COLOR}]Get started:[/]")
+    if config.defaults.user_id:
+        console.print(f'  [{DIM_COLOR}]  mem0 add "I prefer dark mode"[/]')
+        console.print(f'  [{DIM_COLOR}]  mem0 search "preferences"[/]')
+    else:
+        console.print(f'  [{DIM_COLOR}]  mem0 add "I prefer dark mode" --user-id alice[/]')
+        console.print(f'  [{DIM_COLOR}]  mem0 search "preferences" --user-id alice[/]')
+    console.print()
+
+
+def _setup_platform(config: Mem0Config) -> None:
+    """Platform setup flow."""
+    console.print()
+    console.print(f"  [{DIM_COLOR}]Get your API key at https://app.mem0.ai/dashboard/api-keys[/]")
+    console.print()
+
+    console.print(f"  [{BRAND_COLOR}]API Key[/]: ", end="")
+    api_key = _prompt_secret("")
+    if not api_key:
+        print_error(err_console, "API key is required.")
+        raise typer.Exit(1)
+
+    config.platform.api_key = api_key
+
+
+def _setup_defaults(config: Mem0Config) -> None:
+    """Collect default entity IDs."""
+    console.print()
+    print_info(console, "Set default entity IDs (press Enter to skip).\n")
+
+    _default_user = os.environ.get("USER") or os.environ.get("USERNAME") or "mem0-cli"
+    user_id = Prompt.ask(
+        f"  [{BRAND_COLOR}]Default User ID[/] [{DIM_COLOR}](recommended)[/]",
+        default=_default_user,
+    )
+    if user_id:
+        config.defaults.user_id = user_id
+
+
+def _validate_platform(config: Mem0Config) -> None:
+    """Validate platform connection after all inputs are collected."""
+    console.print()
+    print_info(console, "Validating connection...")
+    try:
+        from mem0_cli.backend.platform import PlatformBackend
+
+        backend = PlatformBackend(config.platform)
+        status = backend.status(
+            user_id=config.defaults.user_id or None,
+            agent_id=config.defaults.agent_id or None,
+        )
+        if status.get("connected"):
+            print_success(console, "Connected to mem0 Platform!")
+        else:
+            print_error(
+                err_console,
+                f"Could not connect: {status.get('error', 'Unknown error')}",
+                hint="Visit https://app.mem0.ai/dashboard/api-keys to get a new key, then run mem0 init again.",
+            )
+    except Exception as e:
+        print_error(err_console, f"Connection test failed: {e}")

cli/python/src/mem0_cli/commands/memory.py

@@ -0,0 +1,677 @@
+"""Memory CRUD commands: add, search, get, list, update, delete."""
+
+from __future__ import annotations
+
+import json
+import os
+import stat as _stat_mod
+import sys
+import time as _time
+from pathlib import Path
+
+import typer
+from rich.console import Console
+
+from mem0_cli.backend.base import Backend
+from mem0_cli.branding import (
+    print_error,
+    print_info,
+    print_scope,
+    print_success,
+    timed_status,
+)
+from mem0_cli.output import (
+    format_add_result,
+    format_agent_envelope,
+    format_json,
+    format_memories_table,
+    format_memories_text,
+    format_single_memory,
+    print_result_summary,
+)
+
+console = Console()
+err_console = Console(stderr=True)
+
+
+def _stdin_is_piped() -> bool:
+    """Return True only when stdin is an actual pipe or file redirect."""
+    from mem0_cli.state import is_agent_mode
+
+    if is_agent_mode():
+        return False
+    try:
+        mode = os.fstat(sys.stdin.fileno()).st_mode
+        return _stat_mod.S_ISFIFO(mode) or _stat_mod.S_ISREG(mode)
+    except Exception:
+        return False
+
+
+def cmd_add(
+    backend: Backend,
+    text: str | None,
+    *,
+    user_id: str | None,
+    agent_id: str | None,
+    app_id: str | None,
+    run_id: str | None,
+    messages: str | None,
+    file: Path | None,
+    metadata: str | None,
+    immutable: bool,
+    no_infer: bool,
+    expires: str | None,
+    categories: str | None,
+    enable_graph: bool = False,
+    output: str = "text",
+) -> None:
+    """Add a memory."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("add")
+    if is_agent_mode():
+        output = "agent"
+    msgs = None
+    content = text
+
+    # Read from file
+    if file:
+        try:
+            raw = Path(file).read_text()
+            msgs = json.loads(raw)
+        except (FileNotFoundError, json.JSONDecodeError) as e:
+            print_error(err_console, f"Failed to read file: {e}")
+            raise typer.Exit(1) from None
+
+    # Parse messages JSON
+    elif messages:
+        try:
+            msgs = json.loads(messages)
+        except json.JSONDecodeError as e:
+            print_error(err_console, f"Invalid JSON in --messages: {e}")
+            raise typer.Exit(1) from None
+
+    # Read from stdin only if stdin is an actual pipe or file redirect
+    elif not content and _stdin_is_piped():
+        content = sys.stdin.read().strip()
+
+    if not content and not msgs:
+        print_error(
+            err_console, "No content provided. Pass text, --messages, --file, or pipe via stdin."
+        )
+        raise typer.Exit(1)
+
+    meta = None
+    if metadata:
+        try:
+            meta = json.loads(metadata)
+        except json.JSONDecodeError:
+            print_error(err_console, "Invalid JSON in --metadata.")
+            raise typer.Exit(1) from None
+
+    cats = None
+    if categories:
+        try:
+            cats = json.loads(categories)
+        except json.JSONDecodeError:
+            cats = [c.strip() for c in categories.split(",")]
+
+    # Validate --expires
+    if expires:
+        import re
+
+        if not re.match(r"^\d{4}-\d{2}-\d{2}$", expires):
+            print_error(
+                err_console, "Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31)."
+            )
+            raise typer.Exit(1)
+        from datetime import date
+
+        if date.fromisoformat(expires) <= date.today():
+            print_error(err_console, "--expires date must be in the future.")
+            raise typer.Exit(1)
+
+    with timed_status(err_console, "Adding memory...") as ts:
+        try:
+            result = backend.add(
+                content=content,
+                messages=msgs,
+                user_id=user_id,
+                agent_id=agent_id,
+                app_id=app_id,
+                run_id=run_id,
+                metadata=meta,
+                immutable=immutable,
+                infer=not no_infer,
+                expires=expires,
+                categories=cats,
+                enable_graph=enable_graph,
+            )
+        except Exception as e:
+            ts.error_msg = str(e)
+            raise typer.Exit(1) from None
+
+    if output == "quiet":
+        return
+
+    # Deduplicate PENDING entries sharing the same event_id across all output modes
+    results_list = result if isinstance(result, list) else result.get("results", [result])
+    seen_events: set[str] = set()
+    deduped: list[dict] = []
+    for r in results_list:
+        if r.get("status") == "PENDING":
+            eid = r.get("event_id", "")
+            if eid and eid in seen_events:
+                continue
+            if eid:
+                seen_events.add(eid)
+        deduped.append(r)
+    # Write back so downstream formatters see deduplicated data
+    if isinstance(result, dict) and "results" in result:
+        result = {**result, "results": deduped}
+    else:
+        result = deduped
+
+    if output == "agent":
+        scope = {
+            k: v
+            for k, v in {
+                "user_id": user_id,
+                "agent_id": agent_id,
+                "app_id": app_id,
+                "run_id": run_id,
+            }.items()
+            if v
+        }
+        format_agent_envelope(
+            console,
+            command="add",
+            data=deduped,
+            scope=scope or None,
+            count=len(deduped),
+        )
+        return
+
+    if output == "json":
+        format_add_result(console, result, output)
+        return
+
+    console.print()
+    print_scope(console, user_id=user_id, agent_id=agent_id, app_id=app_id, run_id=run_id)
+    count = len(deduped)
+    all_pending = count > 0 and all(r.get("status") == "PENDING" for r in deduped)
+    if all_pending:
+        print_success(
+            console,
+            f"Memory queued — {count} event{'s' if count != 1 else ''} pending",
+        )
+    else:
+        print_success(
+            console, f"Memory processed — {count} memor{'y' if count == 1 else 'ies'} extracted"
+        )
+    format_add_result(console, result, output)
+
+
+def cmd_search(
+    backend: Backend,
+    query: str,
+    *,
+    user_id: str | None,
+    agent_id: str | None,
+    app_id: str | None,
+    run_id: str | None,
+    top_k: int,
+    threshold: float,
+    rerank: bool,
+    keyword: bool,
+    filter_json: str | None,
+    fields: str | None,
+    enable_graph: bool = False,
+    output: str = "text",
+) -> None:
+    """Search memories."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("search")
+    if is_agent_mode():
+        output = "agent"
+    filters = None
+    if filter_json:
+        try:
+            filters = json.loads(filter_json)
+        except json.JSONDecodeError:
+            print_error(err_console, "Invalid JSON in --filter.")
+            raise typer.Exit(1) from None
+
+    field_list = None
+    if fields:
+        field_list = [f.strip() for f in fields.split(",")]
+
+    if top_k < 1:
+        print_error(err_console, "--top-k must be >= 1.")
+        raise typer.Exit(1)
+    if not (0.0 <= threshold <= 1.0):
+        print_error(err_console, "--threshold must be between 0.0 and 1.0.")
+        raise typer.Exit(1)
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Searching memories...") as _ts:
+        try:
+            results = backend.search(
+                query,
+                user_id=user_id,
+                agent_id=agent_id,
+                app_id=app_id,
+                run_id=run_id,
+                top_k=top_k,
+                threshold=threshold,
+                rerank=rerank,
+                keyword=keyword,
+                filters=filters,
+                fields=field_list,
+                enable_graph=enable_graph,
+            )
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+    _elapsed = _time.perf_counter() - _start
+
+    if output == "quiet":
+        return
+
+    if output == "agent":
+        scope = {
+            k: v
+            for k, v in {
+                "user_id": user_id,
+                "agent_id": agent_id,
+                "app_id": app_id,
+                "run_id": run_id,
+            }.items()
+            if v
+        }
+        format_agent_envelope(
+            console,
+            command="search",
+            data=results,
+            scope=scope or None,
+            count=len(results),
+            duration_ms=int(_elapsed * 1000),
+        )
+        return
+
+    if output == "json":
+        format_json(console, results)
+    elif output == "table":
+        if results:
+            format_memories_table(console, results, show_score=True)
+            print_result_summary(
+                console, len(results), duration_secs=_elapsed, user_id=user_id, agent_id=agent_id
+            )
+        else:
+            console.print()
+            print_info(console, "No memories found matching your query.")
+            console.print()
+    else:
+        if results:
+            format_memories_text(console, results)
+            print_result_summary(
+                console, len(results), duration_secs=_elapsed, user_id=user_id, agent_id=agent_id
+            )
+        else:
+            console.print()
+            print_info(console, "No memories found matching your query.")
+            console.print()
+
+
+def cmd_get(backend: Backend, memory_id: str, *, output: str) -> None:
+    """Get a specific memory by ID."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("get")
+    if is_agent_mode():
+        output = "agent"
+    with timed_status(err_console, "Fetching memory...") as _ts:
+        try:
+            result = backend.get(memory_id)
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+
+    if output == "agent":
+        format_agent_envelope(console, command="get", data=result)
+    else:
+        format_single_memory(console, result, output)
+
+
+def cmd_list(
+    backend: Backend,
+    *,
+    user_id: str | None,
+    agent_id: str | None,
+    app_id: str | None,
+    run_id: str | None,
+    page: int,
+    page_size: int,
+    category: str | None,
+    after: str | None,
+    before: str | None,
+    enable_graph: bool = False,
+    output: str = "table",
+) -> None:
+    """List memories."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("list")
+    if is_agent_mode():
+        output = "agent"
+    if page_size < 1:
+        print_error(err_console, "--page-size must be >= 1.")
+        raise typer.Exit(1)
+    if page < 1:
+        print_error(err_console, "--page must be >= 1.")
+        raise typer.Exit(1)
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Listing memories...") as _ts:
+        try:
+            results = backend.list_memories(
+                user_id=user_id,
+                agent_id=agent_id,
+                app_id=app_id,
+                run_id=run_id,
+                page=page,
+                page_size=page_size,
+                category=category,
+                after=after,
+                before=before,
+                enable_graph=enable_graph,
+            )
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+    _elapsed = _time.perf_counter() - _start
+
+    if output == "quiet":
+        return
+
+    if output in ("json", "agent"):
+        scope = {
+            k: v
+            for k, v in {
+                "user_id": user_id,
+                "agent_id": agent_id,
+                "app_id": app_id,
+                "run_id": run_id,
+            }.items()
+            if v
+        }
+        format_agent_envelope(
+            console,
+            command="list",
+            data=results,
+            scope=scope or None,
+            count=len(results),
+            duration_ms=int(_elapsed * 1000),
+        )
+    elif output == "table":
+        if results:
+            format_memories_table(console, results)
+            print_result_summary(
+                console,
+                len(results),
+                duration_secs=_elapsed,
+                page=page,
+                user_id=user_id,
+                agent_id=agent_id,
+            )
+        else:
+            console.print()
+            print_info(console, "No memories found.")
+            console.print()
+    else:
+        if results:
+            format_memories_text(console, results, title="memories")
+            print_result_summary(
+                console,
+                len(results),
+                duration_secs=_elapsed,
+                page=page,
+                user_id=user_id,
+                agent_id=agent_id,
+            )
+        else:
+            console.print()
+            print_info(console, "No memories found.")
+            console.print()
+
+
+def cmd_update(
+    backend: Backend,
+    memory_id: str,
+    text: str | None,
+    *,
+    metadata: str | None,
+    output: str,
+) -> None:
+    """Update a memory."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("update")
+    if is_agent_mode():
+        output = "agent"
+    meta = None
+    if metadata:
+        try:
+            meta = json.loads(metadata)
+        except json.JSONDecodeError:
+            print_error(err_console, "Invalid JSON in --metadata.")
+            raise typer.Exit(1) from None
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Updating memory...") as _ts:
+        try:
+            result = backend.update(memory_id, content=text, metadata=meta)
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+    _elapsed = _time.perf_counter() - _start
+
+    if output == "agent":
+        format_agent_envelope(
+            console,
+            command="update",
+            data=result,
+            duration_ms=int(_elapsed * 1000),
+        )
+    elif output == "json":
+        format_json(console, result)
+    elif output != "quiet":
+        print_success(console, f"Memory {memory_id[:8]} updated ({_elapsed:.2f}s)")
+
+
+def cmd_delete(
+    backend: Backend,
+    memory_id: str,
+    *,
+    dry_run: bool = False,
+    force: bool = False,
+    output: str,
+) -> None:
+    """Delete a single memory by ID."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("delete")
+    if is_agent_mode():
+        output = "agent"
+    if dry_run:
+        # Fetch and display what would be deleted
+        try:
+            mem = backend.get(memory_id)
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+        format_single_memory(console, mem, output)
+        print_info(console, "No changes made (dry run).")
+        return
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Deleting...") as _ts:
+        try:
+            result = backend.delete(memory_id=memory_id)
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+    _elapsed = _time.perf_counter() - _start
+
+    if output == "agent":
+        format_agent_envelope(
+            console,
+            command="delete",
+            data={"id": memory_id, "deleted": True},
+            duration_ms=int(_elapsed * 1000),
+        )
+    elif output == "json":
+        format_json(console, result)
+    elif output != "quiet":
+        print_success(console, f"Memory {memory_id[:8]} deleted ({_elapsed:.2f}s)")
+
+
+def cmd_delete_all(
+    backend: Backend,
+    *,
+    force: bool,
+    dry_run: bool = False,
+    all_: bool = False,
+    user_id: str | None,
+    agent_id: str | None,
+    app_id: str | None,
+    run_id: str | None,
+    output: str,
+) -> None:
+    """Delete all memories matching a scope."""
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("delete-all")
+    if is_agent_mode():
+        output = "agent"
+        if not force:
+            print_error(err_console, "Destructive operation requires --force in agent mode.")
+            raise typer.Exit(1)
+    if all_:
+        # Project-wide wipe using wildcard entity IDs
+        # Note: --dry-run is ignored here because the API has no count-before-delete endpoint.
+
+        if not force:
+            confirm = typer.confirm(
+                "\n  ⚠  Delete ALL memories across the ENTIRE project? This cannot be undone."
+            )
+            if not confirm:
+                print_info(console, "Cancelled.")
+                raise typer.Exit(0)
+
+        _start = _time.perf_counter()
+        with timed_status(err_console, "Deleting all memories project-wide...") as _ts:
+            try:
+                result = backend.delete(
+                    all=True,
+                    user_id="*",
+                    agent_id="*",
+                    app_id="*",
+                    run_id="*",
+                )
+            except Exception as e:
+                print_error(err_console, str(e))
+                raise typer.Exit(1) from None
+        _elapsed = _time.perf_counter() - _start
+
+        if output == "agent":
+            format_agent_envelope(
+                console,
+                command="delete-all",
+                data={"deleted": True, "scope": "project"},
+                duration_ms=int(_elapsed * 1000),
+            )
+        elif output == "json":
+            format_json(console, result)
+        elif output != "quiet":
+            if isinstance(result, dict) and "message" in result:
+                print_info(console, "Deletion started. Memories will be removed in the background.")
+            else:
+                print_success(console, f"All project memories deleted ({_elapsed:.2f}s)")
+        return
+
+    if dry_run:
+        # List matching memories and show count
+        try:
+            results = backend.list_memories(
+                user_id=user_id,
+                agent_id=agent_id,
+                app_id=app_id,
+                run_id=run_id,
+            )
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+        count = len(results)
+        print_info(console, f"Would delete {count} memor{'y' if count == 1 else 'ies'}.")
+        print_info(console, "No changes made (dry run).")
+        return
+
+    if not force:
+        scope_parts = []
+        if user_id:
+            scope_parts.append(f"user={user_id}")
+        if agent_id:
+            scope_parts.append(f"agent={agent_id}")
+        if app_id:
+            scope_parts.append(f"app={app_id}")
+        if run_id:
+            scope_parts.append(f"run={run_id}")
+        scope = ", ".join(scope_parts) if scope_parts else "ALL entities"
+
+        confirm = typer.confirm(f"\n  ⚠  Delete ALL memories for {scope}? This cannot be undone.")
+        if not confirm:
+            print_info(console, "Cancelled.")
+            raise typer.Exit(0)
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Deleting all memories...") as _ts:
+        try:
+            result = backend.delete(
+                all=True,
+                user_id=user_id,
+                agent_id=agent_id,
+                app_id=app_id,
+                run_id=run_id,
+            )
+        except Exception as e:
+            print_error(err_console, str(e))
+            raise typer.Exit(1) from None
+    _elapsed = _time.perf_counter() - _start
+
+    scope = {
+        k: v
+        for k, v in {
+            "user_id": user_id,
+            "agent_id": agent_id,
+            "app_id": app_id,
+            "run_id": run_id,
+        }.items()
+        if v
+    }
+    if output == "agent":
+        format_agent_envelope(
+            console,
+            command="delete-all",
+            data={"deleted": True},
+            scope=scope or None,
+            duration_ms=int(_elapsed * 1000),
+        )
+    elif output == "json":
+        format_json(console, result)
+    elif output != "quiet":
+        if isinstance(result, dict) and "message" in result:
+            print_info(console, "Deletion started. Memories will be removed in the background.")
+        else:
+            print_success(console, f"All matching memories deleted ({_elapsed:.2f}s)")

cli/python/src/mem0_cli/commands/utils.py

@@ -0,0 +1,162 @@
+"""Utility commands: status, version, import."""
+
+from __future__ import annotations
+
+import json
+import time as _time
+from pathlib import Path
+
+import typer
+from rich.console import Console
+from rich.panel import Panel
+from rich.progress import track
+
+from mem0_cli import __version__
+from mem0_cli.backend.base import Backend
+from mem0_cli.branding import (
+    BRAND_COLOR,
+    DIM_COLOR,
+    ERROR_COLOR,
+    SUCCESS_COLOR,
+    print_error,
+    print_success,
+    timed_status,
+)
+
+console = Console()
+err_console = Console(stderr=True)
+
+
+def cmd_status(
+    backend: Backend,
+    *,
+    user_id: str | None = None,
+    agent_id: str | None = None,
+    output: str = "text",
+) -> None:
+    """Check connectivity and auth."""
+    from mem0_cli.output import format_agent_envelope
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("status")
+    if is_agent_mode():
+        output = "agent"
+
+    _start = _time.perf_counter()
+    with timed_status(err_console, "Checking connection...") as _ts:
+        result = backend.status(user_id=user_id, agent_id=agent_id)
+    _elapsed = _time.perf_counter() - _start
+
+    if output in ("json", "agent"):
+        format_agent_envelope(
+            console,
+            command="status",
+            data={
+                "connected": result.get("connected", False),
+                "backend": result.get("backend", "?"),
+                "base_url": result.get("base_url", ""),
+            },
+            duration_ms=int(_elapsed * 1000),
+        )
+        return
+
+    lines = []
+    if result.get("connected"):
+        lines.append(f"  [{SUCCESS_COLOR}]●[/] Connected")
+    else:
+        lines.append(f"  [{ERROR_COLOR}]●[/] Disconnected")
+
+    lines.append(f"  [{DIM_COLOR}]Backend:[/]  {result.get('backend', '?')}")
+    if result.get("base_url"):
+        lines.append(f"  [{DIM_COLOR}]API URL:[/]  {result['base_url']}")
+    if result.get("error"):
+        lines.append(f"  [{ERROR_COLOR}]Error:[/]    {result['error']}")
+        if "Authentication failed" in str(result["error"]):
+            lines.append("")
+            lines.append(
+                f"  [{DIM_COLOR}]Run [bold]mem0 init[/bold] to reconfigure your API key[/]"
+            )
+            lines.append(
+                f"  [{DIM_COLOR}]Get a key at [bold]https://app.mem0.ai/dashboard/api-keys[/bold][/]"
+            )
+    lines.append(f"  [{DIM_COLOR}]Latency:[/]  {_elapsed:.2f}s")
+
+    content = "\n".join(lines)
+    panel = Panel(
+        content,
+        title=f"[{BRAND_COLOR}]Connection Status[/]",
+        title_align="left",
+        border_style=BRAND_COLOR,
+        padding=(1, 1),
+    )
+    console.print()
+    console.print(panel)
+    console.print()
+
+
+def cmd_version() -> None:
+    """Show version."""
+    console.print(f"  [{BRAND_COLOR}]◆ Mem0[/] CLI v{__version__}")
+
+
+def cmd_import(
+    backend: Backend,
+    file_path: str,
+    *,
+    user_id: str | None,
+    agent_id: str | None,
+    output: str = "text",
+) -> None:
+    """Import memories from a JSON file."""
+    from mem0_cli.output import format_agent_envelope
+    from mem0_cli.state import is_agent_mode, set_current_command
+
+    set_current_command("import")
+    if is_agent_mode():
+        output = "agent"
+
+    try:
+        data = json.loads(Path(file_path).read_text())
+    except (FileNotFoundError, json.JSONDecodeError) as e:
+        print_error(err_console, f"Failed to read file: {e}")
+        raise typer.Exit(1) from None
+
+    if not isinstance(data, list):
+        data = [data]
+
+    added = 0
+    failed = 0
+    _start = _time.perf_counter()
+    for item in track(
+        data, description=f"[{DIM_COLOR}]Importing memories...[/]", console=err_console
+    ):
+        content = item.get("memory", item.get("text", item.get("content", "")))
+        if not content:
+            failed += 1
+            continue
+        try:
+            backend.add(
+                content=content,
+                user_id=user_id or item.get("user_id"),
+                agent_id=agent_id or item.get("agent_id"),
+                metadata=item.get("metadata"),
+            )
+            added += 1
+        except Exception:
+            failed += 1
+    _elapsed = _time.perf_counter() - _start
+
+    if output in ("json", "agent"):
+        scope = {k: v for k, v in {"user_id": user_id, "agent_id": agent_id}.items() if v}
+        format_agent_envelope(
+            console,
+            command="import",
+            data={"added": added, "failed": failed},
+            scope=scope or None,
+            duration_ms=int(_elapsed * 1000),
+        )
+        return
+
+    print_success(err_console, f"Imported {added} memories ({_elapsed:.2f}s)")
+    if failed:
+        print_error(err_console, f"{failed} memories failed to import.")

cli/python/src/mem0_cli/config.py

@@ -0,0 +1,189 @@
+"""Configuration management for mem0 CLI.
+
+Config precedence (highest to lowest):
+1. CLI flags (--api-key, --base-url, etc.)
+2. Environment variables (MEM0_API_KEY, etc.)
+3. Config file (~/.mem0/config.json)
+4. Defaults
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import stat
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+CONFIG_DIR = Path.home() / ".mem0"
+CONFIG_FILE = CONFIG_DIR / "config.json"
+
+DEFAULT_BASE_URL = "https://api.mem0.ai"
+CONFIG_VERSION = 1
+
+
+@dataclass
+class PlatformConfig:
+    api_key: str = ""
+    base_url: str = DEFAULT_BASE_URL
+
+
+@dataclass
+class DefaultsConfig:
+    user_id: str = ""
+    agent_id: str = ""
+    app_id: str = ""
+    run_id: str = ""
+    enable_graph: bool = False
+
+
+@dataclass
+class Mem0Config:
+    version: int = CONFIG_VERSION
+    defaults: DefaultsConfig = field(default_factory=DefaultsConfig)
+    platform: PlatformConfig = field(default_factory=PlatformConfig)
+
+
+SHORT_KEY_ALIASES: dict[str, str] = {
+    "api_key": "platform.api_key",
+    "base_url": "platform.base_url",
+    "user_id": "defaults.user_id",
+    "agent_id": "defaults.agent_id",
+    "app_id": "defaults.app_id",
+    "run_id": "defaults.run_id",
+    "enable_graph": "defaults.enable_graph",
+}
+
+
+def ensure_config_dir() -> Path:
+    """Create ~/.mem0 directory with secure permissions if it doesn't exist."""
+    CONFIG_DIR.mkdir(parents=True, exist_ok=True)
+    os.chmod(CONFIG_DIR, stat.S_IRWXU)  # 0700
+    return CONFIG_DIR
+
+
+def load_config() -> Mem0Config:
+    """Load config from file, applying env var overrides."""
+    config = Mem0Config()
+
+    if CONFIG_FILE.exists():
+        with open(CONFIG_FILE) as f:
+            data = json.load(f)
+
+        config.version = data.get("version", CONFIG_VERSION)
+
+        plat = data.get("platform", {})
+        config.platform.api_key = plat.get("api_key", "")
+        config.platform.base_url = plat.get("base_url", DEFAULT_BASE_URL)
+
+        defaults = data.get("defaults", {})
+        config.defaults.user_id = defaults.get("user_id", "")
+        config.defaults.agent_id = defaults.get("agent_id", "")
+        config.defaults.app_id = defaults.get("app_id", "")
+        config.defaults.run_id = defaults.get("run_id", "")
+        config.defaults.enable_graph = defaults.get("enable_graph", False)
+
+    # Environment variable overrides
+    env_key = os.environ.get("MEM0_API_KEY")
+    if env_key:
+        config.platform.api_key = env_key
+
+    env_base = os.environ.get("MEM0_BASE_URL")
+    if env_base:
+        config.platform.base_url = env_base
+
+    env_user_id = os.environ.get("MEM0_USER_ID")
+    if env_user_id:
+        config.defaults.user_id = env_user_id
+
+    env_agent_id = os.environ.get("MEM0_AGENT_ID")
+    if env_agent_id:
+        config.defaults.agent_id = env_agent_id
+
+    env_app_id = os.environ.get("MEM0_APP_ID")
+    if env_app_id:
+        config.defaults.app_id = env_app_id
+
+    env_run_id = os.environ.get("MEM0_RUN_ID")
+    if env_run_id:
+        config.defaults.run_id = env_run_id
+
+    env_graph = os.environ.get("MEM0_ENABLE_GRAPH")
+    if env_graph:
+        config.defaults.enable_graph = env_graph.lower() in ("true", "1", "yes")
+
+    return config
+
+
+def save_config(config: Mem0Config) -> None:
+    """Write config to disk with secure permissions."""
+    ensure_config_dir()
+
+    data: dict[str, Any] = {
+        "version": config.version,
+        "defaults": {
+            "user_id": config.defaults.user_id,
+            "agent_id": config.defaults.agent_id,
+            "app_id": config.defaults.app_id,
+            "run_id": config.defaults.run_id,
+            "enable_graph": config.defaults.enable_graph,
+        },
+        "platform": {
+            "api_key": config.platform.api_key,
+            "base_url": config.platform.base_url,
+        },
+    }
+
+    with open(CONFIG_FILE, "w") as f:
+        json.dump(data, f, indent=2)
+
+    os.chmod(CONFIG_FILE, stat.S_IRUSR | stat.S_IWUSR)  # 0600
+
+
+def redact_key(key: str) -> str:
+    """Redact an API key for display: m0-xxx...xxx"""
+    if not key:
+        return "(not set)"
+    if len(key) <= 8:
+        return key[:2] + "***"
+    return key[:4] + "..." + key[-4:]
+
+
+def get_nested_value(config: Mem0Config, dotted_key: str) -> Any:
+    """Get a config value by dotted path, e.g. 'platform.api_key' or short form 'api_key'."""
+    dotted_key = SHORT_KEY_ALIASES.get(dotted_key, dotted_key)
+    parts = dotted_key.split(".")
+    obj: Any = config
+    for part in parts:
+        if hasattr(obj, part):
+            obj = getattr(obj, part)
+        else:
+            return None
+    return obj
+
+
+def set_nested_value(config: Mem0Config, dotted_key: str, value: str) -> bool:
+    """Set a config value by dotted path. Returns True on success."""
+    dotted_key = SHORT_KEY_ALIASES.get(dotted_key, dotted_key)
+    parts = dotted_key.split(".")
+    obj: Any = config
+    for part in parts[:-1]:
+        if hasattr(obj, part):
+            obj = getattr(obj, part)
+        else:
+            return False
+
+    final_key = parts[-1]
+    if not hasattr(obj, final_key):
+        return False
+
+    current = getattr(obj, final_key)
+    # Type coercion
+    if isinstance(current, bool):
+        value = value.lower() in ("true", "1", "yes")  # type: ignore[assignment]
+    elif isinstance(current, int):
+        value = int(value)  # type: ignore[assignment]
+
+    setattr(obj, final_key, value)
+    return True

cli/python/src/mem0_cli/output.py

@@ -0,0 +1,359 @@
+"""Output formatting for mem0 CLI — text, JSON, table, quiet modes."""
+
+from __future__ import annotations
+
+import json
+from datetime import datetime
+from typing import Any
+
+from rich.console import Console
+from rich.panel import Panel
+from rich.table import Table
+from rich.text import Text
+
+from mem0_cli.branding import ACCENT_COLOR, BRAND_COLOR, DIM_COLOR, SUCCESS_COLOR, _sym
+
+
+def format_memories_text(console: Console, memories: list[dict], title: str = "memories") -> None:
+    """Render memories in human-friendly text mode."""
+    count = len(memories)
+    console.print(f"\n[{BRAND_COLOR}]Found {count} {title}:[/]\n")
+
+    for i, mem in enumerate(memories, 1):
+        memory_text = mem.get("memory", mem.get("text", ""))
+        mem_id = mem.get("id", "")[:8]
+        score = mem.get("score")
+        created = _format_date(mem.get("created_at"))
+        category = mem.get("categories", [None])
+        if isinstance(category, list):
+            category = category[0] if category else None
+
+        line = Text()
+        line.append(f"  {i}. ", style="bold")
+        line.append(memory_text, style="white")
+        console.print(line)
+
+        details = []
+        if score is not None:
+            details.append(f"Score: {score:.2f}")
+        if mem_id:
+            details.append(f"ID: {mem_id}")
+        if created:
+            details.append(f"Created: {created}")
+        if category:
+            details.append(f"Category: {category}")
+
+        if details:
+            detail_str = " · ".join(details)
+            console.print(f"     [{DIM_COLOR}]{detail_str}[/]")
+        console.print()
+
+
+def format_memories_table(
+    console: Console, memories: list[dict], *, show_score: bool = False
+) -> None:
+    """Render memories in a rich table."""
+    table = Table(
+        border_style=BRAND_COLOR,
+        header_style=f"bold {ACCENT_COLOR}",
+        row_styles=["", "dim"],
+        padding=(0, 1),
+    )
+    table.add_column("ID", style="dim", max_width=38, no_wrap=True)
+    if show_score:
+        table.add_column("Score", max_width=7, justify="right")
+    table.add_column("Memory", max_width=50, no_wrap=False)
+    table.add_column("Category", max_width=14)
+    table.add_column("Created", max_width=12)
+
+    for mem in memories:
+        mem_id = mem.get("id", "")
+        memory_text = mem.get("memory", mem.get("text", ""))
+        if len(memory_text) > 60:
+            memory_text = memory_text[:57] + "..."
+        categories = mem.get("categories", [])
+        if isinstance(categories, list) and categories:
+            cat = (
+                categories[0]
+                if len(categories) == 1
+                else f"{categories[0]} (+{len(categories) - 1})"
+            )
+        else:
+            cat = "—"
+        created = _format_date(mem.get("created_at")) or "—"
+        if show_score:
+            score = mem.get("score")
+            score_str = f"{score:.2f}" if score is not None else "—"
+            table.add_row(mem_id, score_str, memory_text, cat, created)
+        else:
+            table.add_row(mem_id, memory_text, cat, created)
+
+    console.print()
+    console.print(table)
+    console.print()
+
+
+def format_json(console: Console, data: Any) -> None:
+    """Output data as pretty-printed JSON."""
+    console.print_json(json.dumps(data, default=str))
+
+
+def format_single_memory(console: Console, mem: dict, output: str = "text") -> None:
+    """Format a single memory for display."""
+    if output == "json":
+        format_json(console, mem)
+        return
+
+    memory_text = mem.get("memory", mem.get("text", ""))
+    mem_id = mem.get("id", "")
+
+    lines = []
+    lines.append(f"  [white bold]{memory_text}[/]")
+    lines.append("")
+
+    if mem_id:
+        lines.append(f"  [{DIM_COLOR}]ID:[/]         {mem_id}")
+    created = _format_date(mem.get("created_at"))
+    if created:
+        lines.append(f"  [{DIM_COLOR}]Created:[/]    {created}")
+    updated = _format_date(mem.get("updated_at"))
+    if updated:
+        lines.append(f"  [{DIM_COLOR}]Updated:[/]    {updated}")
+    meta = mem.get("metadata")
+    if meta:
+        lines.append(f"  [{DIM_COLOR}]Metadata:[/]   {json.dumps(meta)}")
+    categories = mem.get("categories")
+    if categories:
+        cat_str = ", ".join(categories) if isinstance(categories, list) else categories
+        lines.append(f"  [{DIM_COLOR}]Categories:[/] {cat_str}")
+
+    content = "\n".join(lines)
+    panel = Panel(
+        content,
+        title=f"[{BRAND_COLOR}]Memory[/]",
+        title_align="left",
+        border_style=BRAND_COLOR,
+        padding=(1, 1),
+    )
+    console.print()
+    console.print(panel)
+    console.print()
+
+
+def format_add_result(console: Console, result: dict | list, output: str = "text") -> None:
+    """Format the result of an add operation."""
+    if output == "json":
+        format_json(console, result)
+        return
+    if output == "quiet":
+        return
+
+    # result from API is typically {"results": [...]}
+    results = result if isinstance(result, list) else result.get("results", [result])
+    if not results:
+        console.print(f"  [{DIM_COLOR}]No memories extracted.[/]")
+        return
+
+    console.print()
+    seen_pending_events: set[str] = set()
+    for r in results:
+        # Detect async PENDING response from Platform API
+        if r.get("status") == "PENDING":
+            event_id = r.get("event_id", "")
+            # Deduplicate PENDING entries with the same event_id
+            if event_id and event_id in seen_pending_events:
+                continue
+            if event_id:
+                seen_pending_events.add(event_id)
+            icon = f"[{ACCENT_COLOR}]{_sym('⧗', '...')}[/]"
+            parts = [f"  {icon} [{DIM_COLOR}]{'Queued':<10}[/]"]
+            parts.append("[white]Processing in background[/]")
+            console.print("  ".join(parts))
+            if event_id:
+                console.print(f"  [{DIM_COLOR}]  event_id: {event_id}[/]")
+                console.print(f"  [{DIM_COLOR}]  → Check status: mem0 event status {event_id}[/]")
+            continue
+
+        event = r.get("event", "ADD")
+        memory = r.get("memory") or r.get("text") or r.get("content") or r.get("data") or ""
+        mem_id = (r.get("id") or r.get("memory_id") or "")[:8]
+
+        if event == "ADD":
+            icon = f"[{SUCCESS_COLOR}]+[/]"
+            label = "Added"
+        elif event == "UPDATE":
+            icon = f"[{ACCENT_COLOR}]~[/]"
+            label = "Updated"
+        elif event == "DELETE":
+            icon = "[red]-[/]"
+            label = "Deleted"
+        elif event == "NOOP":
+            icon = f"[{DIM_COLOR}]·[/]"
+            label = "No change"
+        else:
+            icon = f"[{DIM_COLOR}]?[/]"
+            label = event
+
+        # Build the display line
+        parts = [f"  {icon} [{DIM_COLOR}]{label:<10}[/]"]
+        if memory:
+            parts.append(f"[white]{memory}[/]")
+        if mem_id:
+            parts.append(f"[{DIM_COLOR}]({mem_id})[/]")
+        console.print("  ".join(parts))
+    console.print()
+
+
+def format_json_envelope(
+    console: Console,
+    *,
+    command: str,
+    data: Any,
+    duration_ms: int | None = None,
+    scope: dict | None = None,
+    count: int | None = None,
+    status: str = "success",
+    error: str | None = None,
+) -> None:
+    """Output structured JSON envelope for AI agent consumption."""
+    envelope: dict[str, Any] = {
+        "status": status,
+        "command": command,
+    }
+    if duration_ms is not None:
+        envelope["duration_ms"] = duration_ms
+    if scope is not None:
+        envelope["scope"] = scope
+    if count is not None:
+        envelope["count"] = count
+    if error:
+        envelope["error"] = error
+    envelope["data"] = data
+    console.print_json(json.dumps(envelope, default=str))
+
+
+def sanitize_agent_data(command: str, data: Any) -> Any:
+    """Project API response data to minimal relevant fields for agent consumption."""
+
+    def pick(obj: dict, keys: list) -> dict:
+        return {k: obj[k] for k in keys if k in obj}
+
+    if data is None:
+        return data
+
+    if command == "add":
+        items = data if isinstance(data, list) else [data]
+        result = []
+        for item in items:
+            if item.get("status") == "PENDING":
+                result.append(pick(item, ["status", "event_id"]))
+            else:
+                result.append(pick(item, ["id", "memory", "event"]))
+        return result
+
+    if command == "search":
+        return [pick(r, ["id", "memory", "score", "created_at", "categories"]) for r in data]
+
+    if command == "list":
+        return [pick(r, ["id", "memory", "created_at", "categories"]) for r in data]
+
+    if command == "get":
+        return pick(data, ["id", "memory", "created_at", "updated_at", "categories", "metadata"])
+
+    if command == "update":
+        return pick(data, ["id", "memory"])
+
+    if command in ("delete", "delete-all", "entity delete"):
+        return data
+
+    if command == "entity list":
+        result = []
+        for r in data:
+            item = pick(r, ["type", "count"])
+            item["name"] = r.get("name") or r.get("id", "")
+            result.append(item)
+        return result
+
+    if command == "event list":
+        return [pick(r, ["id", "event_type", "status", "latency", "created_at"]) for r in data]
+
+    if command == "event status":
+        ev = data
+        raw_results = ev.get("results") or []
+        sanitized_results = []
+        for r in raw_results:
+            nested = r.get("data") or {}
+            memory = nested.get("memory") if isinstance(nested, dict) else None
+            sanitized_results.append(
+                {
+                    "id": r.get("id"),
+                    "event": r.get("event"),
+                    "user_id": r.get("user_id"),
+                    "memory": memory,
+                }
+            )
+        result = pick(ev, ["id", "event_type", "status", "latency", "created_at", "updated_at"])
+        result["results"] = sanitized_results
+        return result
+
+    # Pass-through: status, import, config show/get/set
+    return data
+
+
+def format_agent_envelope(
+    console: Console,
+    *,
+    command: str,
+    data: Any,
+    duration_ms: int | None = None,
+    scope: dict | None = None,
+    count: int | None = None,
+) -> None:
+    """Output structured JSON envelope for agent/programmatic use (--json/--agent mode)."""
+    envelope: dict[str, Any] = {
+        "status": "success",
+        "command": command,
+    }
+    if duration_ms is not None:
+        envelope["duration_ms"] = duration_ms
+    if scope:
+        filtered = {k: v for k, v in scope.items() if v}
+        if filtered:
+            envelope["scope"] = filtered
+    if count is not None:
+        envelope["count"] = count
+    envelope["data"] = sanitize_agent_data(command, data)
+    console.print_json(json.dumps(envelope, default=str))
+
+
+def print_result_summary(
+    console: Console,
+    count: int,
+    *,
+    duration_secs: float | None = None,
+    page: int | None = None,
+    **scope_ids: str | None,
+) -> None:
+    """Print a summary footer after result lists."""
+    parts = [f"{count} result{'s' if count != 1 else ''}"]
+    if page is not None:
+        parts.append(f"page {page}")
+    scope_parts = [f"{k}={v}" for k, v in scope_ids.items() if v]
+    if scope_parts:
+        parts.append(", ".join(scope_parts))
+    if duration_secs is not None:
+        parts.append(f"{duration_secs:.2f}s")
+
+    summary = " · ".join(parts)
+    console.print(f"  [{DIM_COLOR}]{summary}[/]")
+    console.print()
+
+
+def _format_date(dt_str: str | None) -> str | None:
+    if not dt_str:
+        return None
+    try:
+        dt = datetime.fromisoformat(dt_str.replace("Z", "+00:00"))
+        return dt.strftime("%Y-%m-%d")
+    except (ValueError, AttributeError):
+        return str(dt_str)[:10] if dt_str else None

cli/python/src/mem0_cli/state.py

@@ -0,0 +1,24 @@
+"""Agent mode state — set by the root callback, read by commands and branding."""
+
+from __future__ import annotations
+
+_agent_mode: bool = False
+_current_command: str = ""
+
+
+def is_agent_mode() -> bool:
+    return _agent_mode
+
+
+def set_agent_mode(val: bool) -> None:
+    global _agent_mode
+    _agent_mode = val
+
+
+def get_current_command() -> str:
+    return _current_command
+
+
+def set_current_command(name: str) -> None:
+    global _current_command
+    _current_command = name

cli/python/tests/conftest.py

@@ -0,0 +1,146 @@
+"""Shared fixtures for mem0 CLI tests."""
+
+from __future__ import annotations
+
+import os
+from unittest.mock import MagicMock
+
+import pytest
+
+from mem0_cli.backend.base import Backend
+from mem0_cli.config import Mem0Config
+
+
+@pytest.fixture(autouse=True)
+def isolate_config(tmp_path, monkeypatch):
+    """Redirect config to a temp directory so tests don't touch real config."""
+    fake_config_dir = tmp_path / ".mem0"
+    fake_config_file = fake_config_dir / "config.json"
+    monkeypatch.setattr("mem0_cli.config.CONFIG_DIR", fake_config_dir)
+    monkeypatch.setattr("mem0_cli.config.CONFIG_FILE", fake_config_file)
+    # Also patch the commands that import config
+    monkeypatch.setattr("mem0_cli.commands.config_cmd.CONFIG_DIR", fake_config_dir, raising=False)
+    # Clear any MEM0 env vars
+    for key in list(os.environ.keys()):
+        if key.startswith("MEM0_"):
+            monkeypatch.delenv(key, raising=False)
+    return fake_config_dir
+
+
+@pytest.fixture
+def mock_backend():
+    """Return a mock backend with all methods stubbed."""
+    backend = MagicMock(spec=Backend)
+
+    # Default return values
+    backend.add.return_value = {
+        "results": [
+            {
+                "id": "abc-123-def-456",
+                "memory": "User prefers dark mode",
+                "event": "ADD",
+            }
+        ]
+    }
+
+    backend.search.return_value = [
+        {
+            "id": "abc-123-def-456",
+            "memory": "User prefers dark mode",
+            "score": 0.92,
+            "created_at": "2026-02-15T10:30:00Z",
+            "categories": ["preferences"],
+        },
+        {
+            "id": "ghi-789-jkl-012",
+            "memory": "User uses vim keybindings",
+            "score": 0.78,
+            "created_at": "2026-03-01T14:00:00Z",
+            "categories": ["tools"],
+        },
+    ]
+
+    backend.get.return_value = {
+        "id": "abc-123-def-456",
+        "memory": "User prefers dark mode",
+        "created_at": "2026-02-15T10:30:00Z",
+        "updated_at": "2026-02-20T08:00:00Z",
+        "metadata": {"source": "onboarding"},
+        "categories": ["preferences"],
+    }
+
+    backend.list_memories.return_value = [
+        {
+            "id": "abc-123-def-456",
+            "memory": "User prefers dark mode",
+            "created_at": "2026-02-15T10:30:00Z",
+            "categories": ["preferences"],
+        },
+        {
+            "id": "ghi-789-jkl-012",
+            "memory": "User uses vim keybindings",
+            "created_at": "2026-03-01T14:00:00Z",
+            "categories": ["tools"],
+        },
+    ]
+
+    backend.update.return_value = {"id": "abc-123-def-456", "memory": "Updated memory"}
+    backend.delete.return_value = {"status": "deleted"}
+    backend.status.return_value = {
+        "connected": True,
+        "backend": "platform",
+        "base_url": "https://api.mem0.ai",
+    }
+    backend.delete_entities.return_value = {"message": "Entity deleted"}
+    backend.entities.return_value = [
+        {"name": "alice", "count": 5},
+        {"name": "bob", "count": 3},
+    ]
+    backend.list_events.return_value = [
+        {
+            "id": "evt-abc-123-def-456",
+            "event_type": "ADD",
+            "status": "SUCCEEDED",
+            "graph_status": None,
+            "latency": 1234.5,
+            "created_at": "2026-04-01T10:00:00Z",
+            "updated_at": "2026-04-01T10:00:01Z",
+        },
+        {
+            "id": "evt-def-456-ghi-789",
+            "event_type": "SEARCH",
+            "status": "PENDING",
+            "graph_status": None,
+            "latency": None,
+            "created_at": "2026-04-01T10:01:00Z",
+            "updated_at": "2026-04-01T10:01:00Z",
+        },
+    ]
+    backend.get_event.return_value = {
+        "id": "evt-abc-123-def-456",
+        "event_type": "ADD",
+        "status": "SUCCEEDED",
+        "graph_status": "SUCCEEDED",
+        "latency": 1234.5,
+        "created_at": "2026-04-01T10:00:00Z",
+        "updated_at": "2026-04-01T10:00:01Z",
+        "results": [
+            {
+                "id": "mem-abc-123",
+                "event": "ADD",
+                "user_id": "alice",
+                "data": {"memory": "User prefers dark mode"},
+            }
+        ],
+    }
+
+    return backend
+
+
+@pytest.fixture
+def sample_config():
+    """Return a sample config object."""
+    config = Mem0Config()
+    config.platform.api_key = "m0-test-key-12345678"
+    config.platform.base_url = "https://api.mem0.ai"
+    return config

cli/python/tests/test_branding.py

@@ -0,0 +1,54 @@
+"""Tests for branding and output helpers."""
+
+from __future__ import annotations
+
+from io import StringIO
+
+from rich.console import Console
+
+from mem0_cli.branding import print_banner, print_error, print_info, print_success, print_warning
+
+
+def _make_console() -> tuple[Console, StringIO]:
+    buf = StringIO()
+    return Console(file=buf, force_terminal=False, no_color=True, width=80), buf
+
+
+class TestBranding:
+    def test_print_banner(self):
+        console, buf = _make_console()
+        print_banner(console)
+        output = buf.getvalue()
+        # Banner contains the mem0 ASCII art and tagline
+        assert "Memory Layer" in output or "mem" in output.lower()
+
+    def test_print_success(self):
+        console, buf = _make_console()
+        print_success(console, "It worked!")
+        output = buf.getvalue()
+        assert "It worked!" in output
+
+    def test_print_error(self):
+        console, buf = _make_console()
+        print_error(console, "Something failed", hint="Try this fix")
+        output = buf.getvalue()
+        assert "Something failed" in output
+        assert "Try this fix" in output
+
+    def test_print_error_no_hint(self):
+        console, buf = _make_console()
+        print_error(console, "Failed")
+        output = buf.getvalue()
+        assert "Failed" in output
+
+    def test_print_warning(self):
+        console, buf = _make_console()
+        print_warning(console, "Watch out")
+        output = buf.getvalue()
+        assert "Watch out" in output
+
+    def test_print_info(self):
+        console, buf = _make_console()
+        print_info(console, "FYI")
+        output = buf.getvalue()
+        assert "FYI" in output

cli/python/tests/test_cli_integration.py

@@ -0,0 +1,258 @@
+"""Integration tests — invoke CLI as subprocess to test end-to-end.
+
+These tests launch the CLI as a real subprocess, so they must manage
+environment isolation themselves (monkeypatch doesn't cross process
+boundaries).
+"""
+
+from __future__ import annotations
+
+import os
+import re
+import subprocess
+import sys
+
+import pytest
+
+_ANSI_RE = re.compile(r"\x1b\[[0-9;]*[mKJHABCDfsu]")
+
+
+def _strip_ansi(text: str) -> str:
+    """Remove ANSI escape codes so substring checks work regardless of color mode."""
+    return _ANSI_RE.sub("", text)
+
+
+def _run(
+    args: list[str],
+    env_override: dict | None = None,
+    home_dir: str | None = None,
+) -> subprocess.CompletedProcess:
+    """Run mem0 CLI command and capture output.
+
+    Args:
+        args: CLI arguments.
+        env_override: Extra env vars to set.
+        home_dir: If provided, set HOME to this path so the subprocess
+            reads config from ``<home_dir>/.mem0/config.json`` instead
+            of the user's real config.  This is critical for tests that
+            depend on a clean (no API key) or custom config state.
+
+    Returns a CompletedProcess whose stdout/stderr have ANSI escape codes
+    stripped.  GitHub Actions sets FORCE_COLOR=1 which causes Rich/Typer to
+    fragment option names like --user-id into separately-styled ANSI segments,
+    making plain ``in`` checks fail.  Stripping here is version-agnostic and
+    ensures all assertions see the same plain text regardless of terminal env.
+    """
+    env = os.environ.copy()
+    # Strip all MEM0_ env vars so tests start clean
+    for key in list(env.keys()):
+        if key.startswith("MEM0_"):
+            del env[key]
+    env.pop("FORCE_COLOR", None)
+    if home_dir:
+        env["HOME"] = home_dir
+    if env_override:
+        env.update(env_override)
+    result = subprocess.run(
+        [sys.executable, "-m", "mem0_cli", *args],
+        capture_output=True,
+        text=True,
+        env=env,
+    )
+    return subprocess.CompletedProcess(
+        args=result.args,
+        returncode=result.returncode,
+        stdout=_strip_ansi(result.stdout),
+        stderr=_strip_ansi(result.stderr),
+    )
+
+
+@pytest.fixture
+def clean_home(tmp_path):
+    """Return a temp directory to use as HOME, ensuring no ~/.mem0 exists."""
+    return str(tmp_path)
+
+
+class TestCLIIntegration:
+    """Tests that only inspect help text / version — no config needed."""
+
+    def test_help(self):
+        result = _run(["--help"])
+        assert result.returncode == 0
+        assert "mem0" in result.stdout
+        assert "add" in result.stdout
+        assert "search" in result.stdout
+
+    def test_add_help(self):
+        result = _run(["add", "--help"])
+        assert result.returncode == 0
+        assert "user-id" in result.stdout
+        assert "messages" in result.stdout
+
+    def test_add_help_has_scope_panel(self):
+        """Verify rich_help_panel grouping shows in help output."""
+        result = _run(["add", "--help"])
+        assert result.returncode == 0
+        assert "Scope" in result.stdout
+
+    def test_search_help(self):
+        result = _run(["search", "--help"])
+        assert result.returncode == 0
+        assert "top-k" in result.stdout
+
+    def test_list_help(self):
+        result = _run(["list", "--help"])
+        assert result.returncode == 0
+        assert "page-size" in result.stdout
+
+    def test_delete_help(self):
+        result = _run(["delete", "--help"])
+        assert result.returncode == 0
+        assert "--all" in result.stdout
+        assert "--entity" in result.stdout
+        assert "--project" in result.stdout
+        assert "--force" in result.stdout
+        assert "--dry-run" in result.stdout
+
+    def test_entity_list_help(self):
+        result = _run(["entity", "list", "--help"])
+        assert result.returncode == 0
+        assert "entity-type" in result.stdout.lower() or "entity_type" in result.stdout.lower()
+
+    def test_entity_delete_help(self):
+        result = _run(["entity", "delete", "--help"])
+        assert result.returncode == 0
+        assert "--user-id" in result.stdout
+        assert "--force" in result.stdout
+
+    def test_import_help(self):
+        result = _run(["import", "--help"])
+        assert result.returncode == 0
+
+    def test_no_args_shows_help(self):
+        """no_args_is_help=True makes Typer print help and exit with code 2."""
+        result = _run([])
+        # Typer returns exit code 2 for "no command given" — this is standard
+        # Click/Typer behaviour and not an error.
+        assert result.returncode in (0, 2)
+        assert "Usage" in result.stdout
+
+
+class TestCLIIsolated:
+    """Tests that need a clean HOME to avoid reading the user's real config."""
+
+    def test_add_no_key_errors(self, clean_home):
+        """Without an API key, `mem0 add` must fail with a helpful message."""
+        result = _run(
+            ["add", "test", "--user-id", "alice"],
+            home_dir=clean_home,
+        )
+        assert result.returncode != 0
+        combined = result.stderr + result.stdout
+        assert "API key" in combined or "api" in combined.lower() or "Error" in combined
+
+    def test_search_no_key_errors(self, clean_home):
+        """Without an API key, `mem0 search` must fail."""
+        result = _run(
+            ["search", "preferences", "--user-id", "alice"],
+            home_dir=clean_home,
+        )
+        assert result.returncode != 0
+        combined = result.stderr + result.stdout
+        assert "API key" in combined or "Error" in combined
+
+    def test_list_no_key_errors(self, clean_home):
+        """Without an API key, `mem0 list` must fail."""
+        result = _run(["list"], home_dir=clean_home)
+        assert result.returncode != 0
+        combined = result.stderr + result.stdout
+        assert "API key" in combined or "Error" in combined
+
+    def test_delete_no_id_no_all_errors(self, clean_home):
+        """Delete without memory_id, --all, or --entity must fail."""
+        result = _run(
+            ["delete", "--api-key", "m0-fake-key"],
+            home_dir=clean_home,
+        )
+        assert result.returncode != 0
+        combined = result.stderr + result.stdout
+        assert (
+            "memory ID" in combined.lower()
+            or "--all" in combined
+            or "--entity" in combined
+            or "Error" in combined
+        )
+
+    def test_config_show_clean(self, clean_home):
+        """config show with no config should still work."""
+        result = _run(["config", "show"], home_dir=clean_home)
+        assert result.returncode == 0
+        assert "backend" in result.stdout.lower() or "platform" in result.stdout.lower()
+
+    def test_config_set_and_get_roundtrip(self, clean_home):
+        """config set then config get should return the set value."""
+        _run(
+            ["config", "set", "defaults.user_id", "integration-test-user"],
+            home_dir=clean_home,
+        )
+        result = _run(
+            ["config", "get", "defaults.user_id"],
+            home_dir=clean_home,
+        )
+        assert result.returncode == 0
+        assert "integration-test-user" in result.stdout
+
+    def test_import_nonexistent_file(self, clean_home):
+        """Importing a nonexistent file should fail gracefully."""
+        result = _run(
+            ["import", "/nonexistent/file.json", "--api-key", "m0-fake"],
+            home_dir=clean_home,
+        )
+        assert result.returncode != 0
+        combined = result.stderr + result.stdout
+        assert "Failed" in combined or "Error" in combined or "error" in combined
+
+    def test_add_no_content_errors(self, clean_home):
+        """add with no text/messages/file should fail."""
+        result = _run(
+            ["add", "--user-id", "alice", "--api-key", "m0-fake"],
+            home_dir=clean_home,
+        )
+        assert result.returncode != 0
+        combined = result.stderr + result.stdout
+        assert "No content" in combined or "Error" in combined
+
+
+class TestCLINewFeatures:
+    """Tests for MCP parity features: --graph, --limit, entities delete."""
+
+    def test_add_help_has_graph(self):
+        result = _run(["add", "--help"])
+        assert result.returncode == 0
+        assert "--graph" in result.stdout
+
+    def test_search_help_has_graph_and_limit(self):
+        result = _run(["search", "--help"])
+        assert result.returncode == 0
+        assert "--graph" in result.stdout
+        assert "--limit" in result.stdout
+
+    def test_list_help_has_graph(self):
+        result = _run(["list", "--help"])
+        assert result.returncode == 0
+        assert "--graph" in result.stdout
+
+    def test_delete_entity_via_delete_flag(self):
+        """delete --entity should appear in help output."""
+        result = _run(["delete", "--help"])
+        assert result.returncode == 0
+        assert "--entity" in result.stdout
+
+    def test_entity_delete_has_scope_options(self):
+        """entity delete should expose scope options."""
+        result = _run(["entity", "delete", "--help"])
+        assert result.returncode == 0
+        assert "--user-id" in result.stdout
+        assert "--force" in result.stdout
+        assert "--app-id" in result.stdout
+        assert "--run-id" in result.stdout

cli/python/tests/test_config.py

@@ -0,0 +1,240 @@
+"""Tests for configuration management."""
+
+from __future__ import annotations
+
+import os
+
+from mem0_cli.config import (
+    Mem0Config,
+    get_nested_value,
+    load_config,
+    redact_key,
+    save_config,
+    set_nested_value,
+)
+
+
+class TestRedactKey:
+    def test_empty_key(self):
+        assert redact_key("") == "(not set)"
+
+    def test_short_key(self):
+        assert redact_key("abc") == "ab***"
+
+    def test_normal_key(self):
+        result = redact_key("m0-abcdefgh12345678")
+        assert result == "m0-a...5678"
+        assert "abcdefgh" not in result
+
+    def test_exact_8_chars(self):
+        # 8 chars is <= 8, so it gets the short redaction
+        assert redact_key("12345678") == "12***"
+
+
+class TestConfig:
+    def test_default_config(self):
+        config = Mem0Config()
+        assert config.platform.base_url == "https://api.mem0.ai"
+        assert config.platform.api_key == ""
+
+    def test_save_and_load(self, isolate_config):
+        config = Mem0Config()
+        config.platform.api_key = "m0-test-key"
+
+        save_config(config)
+
+        loaded = load_config()
+        assert loaded.platform.api_key == "m0-test-key"
+
+    def test_env_var_override(self, isolate_config, monkeypatch):
+        config = Mem0Config()
+        config.platform.api_key = "file-key"
+        save_config(config)
+
+        monkeypatch.setenv("MEM0_API_KEY", "env-key")
+        loaded = load_config()
+        assert loaded.platform.api_key == "env-key"
+
+    def test_load_nonexistent_config(self, isolate_config):
+        config = load_config()
+        assert config.platform.api_key == ""
+
+    def test_config_file_permissions(self, isolate_config):
+        config = Mem0Config()
+        config.platform.api_key = "secret"
+        save_config(config)
+
+        from mem0_cli.config import CONFIG_FILE
+
+        mode = os.stat(CONFIG_FILE).st_mode & 0o777
+        assert mode == 0o600
+
+    def test_defaults_save_and_load(self, isolate_config):
+        config = Mem0Config()
+        config.defaults.user_id = "alice"
+        config.defaults.agent_id = "support-bot"
+        config.defaults.app_id = "my-app"
+        config.defaults.run_id = "run-001"
+
+        save_config(config)
+        loaded = load_config()
+
+        assert loaded.defaults.user_id == "alice"
+        assert loaded.defaults.agent_id == "support-bot"
+        assert loaded.defaults.app_id == "my-app"
+        assert loaded.defaults.run_id == "run-001"
+
+    def test_defaults_env_var_override(self, isolate_config, monkeypatch):
+        config = Mem0Config()
+        config.defaults.user_id = "file-user"
+        save_config(config)
+
+        monkeypatch.setenv("MEM0_USER_ID", "env-user")
+        monkeypatch.setenv("MEM0_AGENT_ID", "env-agent")
+        loaded = load_config()
+        assert loaded.defaults.user_id == "env-user"
+        assert loaded.defaults.agent_id == "env-agent"
+
+    def test_backward_compat_no_defaults_key(self, isolate_config):
+        """Old config files without 'defaults' key should load fine."""
+        import json
+
+        from mem0_cli.config import CONFIG_FILE, ensure_config_dir
+
+        ensure_config_dir()
+        # Write a config without the "defaults" key
+        data = {
+            "version": 1,
+            "platform": {"api_key": "m0-test", "base_url": "https://api.mem0.ai"},
+        }
+        with open(CONFIG_FILE, "w") as f:
+            json.dump(data, f)
+
+        loaded = load_config()
+        assert loaded.platform.api_key == "m0-test"
+        assert loaded.defaults.user_id == ""
+        assert loaded.defaults.agent_id == ""
+
+    def test_default_config_has_empty_defaults(self):
+        config = Mem0Config()
+        assert config.defaults.user_id == ""
+        assert config.defaults.agent_id == ""
+        assert config.defaults.app_id == ""
+        assert config.defaults.run_id == ""
+        assert config.defaults.enable_graph is False
+
+    def test_enable_graph_save_and_load(self, isolate_config):
+        config = Mem0Config()
+        config.defaults.enable_graph = True
+        save_config(config)
+        loaded = load_config()
+        assert loaded.defaults.enable_graph is True
+
+    def test_enable_graph_env_var_true(self, isolate_config, monkeypatch):
+        monkeypatch.setenv("MEM0_ENABLE_GRAPH", "true")
+        loaded = load_config()
+        assert loaded.defaults.enable_graph is True
+
+    def test_enable_graph_env_var_false(self, isolate_config, monkeypatch):
+        config = Mem0Config()
+        config.defaults.enable_graph = True
+        save_config(config)
+        monkeypatch.setenv("MEM0_ENABLE_GRAPH", "false")
+        loaded = load_config()
+        assert loaded.defaults.enable_graph is False
+
+    def test_backward_compat_no_enable_graph_key(self, isolate_config):
+        """Old config files without 'enable_graph' key should default to False."""
+        import json
+
+        from mem0_cli.config import CONFIG_FILE, ensure_config_dir
+
+        ensure_config_dir()
+        data = {
+            "version": 1,
+            "defaults": {"user_id": "alice"},
+            "platform": {"api_key": "m0-test", "base_url": "https://api.mem0.ai"},
+        }
+        with open(CONFIG_FILE, "w") as f:
+            json.dump(data, f)
+
+        loaded = load_config()
+        assert loaded.defaults.enable_graph is False
+        assert loaded.defaults.user_id == "alice"
+
+
+class TestNestedAccess:
+    def test_get_nested_value(self):
+        config = Mem0Config()
+        config.platform.api_key = "test-key"
+        assert get_nested_value(config, "platform.api_key") == "test-key"
+
+    def test_get_nonexistent_key(self):
+        config = Mem0Config()
+        assert get_nested_value(config, "nonexistent.key") is None
+
+    def test_set_nested_value(self):
+        config = Mem0Config()
+        assert set_nested_value(config, "platform.api_key", "new-key")
+        assert config.platform.api_key == "new-key"
+
+    def test_set_nonexistent_key(self):
+        config = Mem0Config()
+        assert set_nested_value(config, "nonexistent.key", "val") is False
+
+    def test_get_defaults_user_id(self):
+        config = Mem0Config()
+        config.defaults.user_id = "alice"
+        assert get_nested_value(config, "defaults.user_id") == "alice"
+
+    def test_set_defaults_user_id(self):
+        config = Mem0Config()
+        assert set_nested_value(config, "defaults.user_id", "bob")
+        assert config.defaults.user_id == "bob"
+
+    def test_set_defaults_enable_graph(self):
+        config = Mem0Config()
+        assert set_nested_value(config, "defaults.enable_graph", "true")
+        assert config.defaults.enable_graph is True
+
+
+class TestResolveIds:
+    def test_cli_flag_overrides_default(self):
+        from mem0_cli.app import _resolve_ids
+
+        config = Mem0Config()
+        config.defaults.user_id = "default-user"
+        ids = _resolve_ids(
+            config,
+            user_id="cli-user",
+            agent_id=None,
+        )
+        assert ids["user_id"] == "cli-user"
+
+    def test_default_used_when_flag_is_none(self):
+        from mem0_cli.app import _resolve_ids
+
+        config = Mem0Config()
+        config.defaults.user_id = "default-user"
+        config.defaults.agent_id = "default-agent"
+        ids = _resolve_ids(config, user_id=None, agent_id=None)
+        assert ids["user_id"] == "default-user"
+        assert ids["agent_id"] == "default-agent"
+
+    def test_none_when_neither_set(self):
+        from mem0_cli.app import _resolve_ids
+
+        config = Mem0Config()
+        ids = _resolve_ids(config, user_id=None, agent_id=None)
+        assert ids["user_id"] is None
+        assert ids["agent_id"] is None
+        assert ids["app_id"] is None
+        assert ids["run_id"] is None
+
+    def test_empty_string_treated_as_unset(self):
+        from mem0_cli.app import _resolve_ids
+
+        config = Mem0Config()
+        config.defaults.user_id = ""
+        ids = _resolve_ids(config, user_id=None)
+        assert ids["user_id"] is None

cli/python/tests/test_output.py

@@ -0,0 +1,282 @@
+"""Tests for output formatting."""
+
+from __future__ import annotations
+
+from io import StringIO
+
+from rich.console import Console
+
+from mem0_cli.output import (
+    format_add_result,
+    format_memories_table,
+    format_memories_text,
+    format_single_memory,
+    sanitize_agent_data,
+)
+
+
+def _make_console() -> tuple[Console, StringIO]:
+    buf = StringIO()
+    return Console(file=buf, force_terminal=False, no_color=True, width=120, highlight=False), buf
+
+
+SAMPLE_MEMORIES = [
+    {
+        "id": "abc-123-def-456",
+        "memory": "User prefers dark mode",
+        "score": 0.92,
+        "created_at": "2026-02-15T10:30:00Z",
+        "categories": ["preferences"],
+    },
+    {
+        "id": "ghi-789-jkl-012",
+        "memory": "User uses vim keybindings",
+        "score": 0.78,
+        "created_at": "2026-03-01T14:00:00Z",
+        "categories": ["tools"],
+    },
+]
+
+
+class TestTextFormat:
+    def test_format_memories_text(self):
+        console, buf = _make_console()
+        format_memories_text(console, SAMPLE_MEMORIES)
+        output = buf.getvalue()
+        assert "Found 2 memories" in output
+        assert "dark mode" in output
+        assert "vim keybindings" in output
+        assert "0.92" in output
+
+    def test_format_memories_text_empty(self):
+        console, buf = _make_console()
+        format_memories_text(console, [])
+        output = buf.getvalue()
+        assert "Found 0" in output
+
+
+class TestTableFormat:
+    def test_format_memories_table(self):
+        console, buf = _make_console()
+        format_memories_table(console, SAMPLE_MEMORIES)
+        output = buf.getvalue()
+        assert "dark mode" in output
+        assert "abc-123-" in output
+
+    def test_format_memories_table_empty(self):
+        console, buf = _make_console()
+        format_memories_table(console, [])
+        output = buf.getvalue()
+        # Should still render (empty table)
+        assert "ID" in output
+
+
+class TestSingleMemory:
+    def test_format_single_memory_text(self):
+        console, buf = _make_console()
+        mem = SAMPLE_MEMORIES[0]
+        format_single_memory(console, mem, "text")
+        output = buf.getvalue()
+        assert "dark mode" in output
+        assert "abc-123-def-456" in output
+
+    def test_format_single_memory_json(self):
+        console, buf = _make_console()
+        mem = SAMPLE_MEMORIES[0]
+        format_single_memory(console, mem, "json")
+        output = buf.getvalue()
+        assert '"memory"' in output
+
+
+class TestAddResult:
+    def test_format_add_result_text(self):
+        console, buf = _make_console()
+        result = {
+            "results": [
+                {"id": "abc-123-def-456", "memory": "User prefers dark mode", "event": "ADD"},
+            ]
+        }
+        format_add_result(console, result, "text")
+        output = buf.getvalue()
+        assert "dark mode" in output
+        assert "Added" in output
+
+    def test_format_add_result_update_event(self):
+        console, buf = _make_console()
+        result = {
+            "results": [
+                {"id": "abc-123", "memory": "Updated pref", "event": "UPDATE"},
+            ]
+        }
+        format_add_result(console, result, "text")
+        output = buf.getvalue()
+        assert "Updated" in output
+
+    def test_format_add_result_noop(self):
+        console, buf = _make_console()
+        result = {
+            "results": [
+                {"id": "abc-123", "memory": "Same thing", "event": "NOOP"},
+            ]
+        }
+        format_add_result(console, result, "text")
+        output = buf.getvalue()
+        assert "No change" in output
+
+    def test_format_add_result_quiet(self):
+        console, buf = _make_console()
+        result = {"results": [{"id": "abc-123", "memory": "Quiet", "event": "ADD"}]}
+        format_add_result(console, result, "quiet")
+        output = buf.getvalue()
+        assert output.strip() == ""
+
+    def test_format_add_result_deduplicates_pending_by_event_id(self):
+        console, buf = _make_console()
+        result = {
+            "results": [
+                {"status": "PENDING", "event_id": "evt-dup"},
+                {"status": "PENDING", "event_id": "evt-dup"},
+            ]
+        }
+        format_add_result(console, result, "text")
+        output = buf.getvalue()
+        # Should show only one PENDING block despite two entries with same event_id
+        assert output.count("evt-dup") == 2  # event_id line + status hint line
+        assert output.count("Queued") == 1
+
+    def test_format_add_result_empty(self):
+        console, buf = _make_console()
+        format_add_result(console, {"results": []}, "text")
+        output = buf.getvalue()
+        assert "No memories extracted" in output
+
+
+class TestSanitizeAgentData:
+    def test_add_projects_fields(self):
+        raw = [
+            {
+                "id": "abc",
+                "memory": "test",
+                "event": "ADD",
+                "metadata": {"x": 1},
+                "categories": ["a"],
+            }
+        ]
+        result = sanitize_agent_data("add", raw)
+        assert result == [{"id": "abc", "memory": "test", "event": "ADD"}]
+
+    def test_add_pending_passthrough(self):
+        raw = [{"status": "PENDING", "event_id": "evt-123", "metadata": "noise"}]
+        result = sanitize_agent_data("add", raw)
+        assert result == [{"status": "PENDING", "event_id": "evt-123"}]
+
+    def test_search_projects_fields(self):
+        raw = [
+            {
+                "id": "abc",
+                "memory": "test",
+                "score": 0.9,
+                "created_at": "2026-01-01",
+                "categories": ["a"],
+                "user_id": "u1",
+                "agent_id": None,
+            }
+        ]
+        result = sanitize_agent_data("search", raw)
+        assert result == [
+            {
+                "id": "abc",
+                "memory": "test",
+                "score": 0.9,
+                "created_at": "2026-01-01",
+                "categories": ["a"],
+            }
+        ]
+
+    def test_list_projects_fields(self):
+        raw = [
+            {
+                "id": "abc",
+                "memory": "test",
+                "created_at": "2026-01-01",
+                "categories": ["a"],
+                "user_id": "u1",
+            }
+        ]
+        result = sanitize_agent_data("list", raw)
+        assert result == [
+            {"id": "abc", "memory": "test", "created_at": "2026-01-01", "categories": ["a"]}
+        ]
+
+    def test_get_projects_fields(self):
+        raw = {
+            "id": "abc",
+            "memory": "test",
+            "created_at": "2026-01-01",
+            "updated_at": "2026-01-02",
+            "categories": ["a"],
+            "metadata": {"k": "v"},
+            "user_id": "u1",
+        }
+        result = sanitize_agent_data("get", raw)
+        assert "user_id" not in result
+        assert "id" in result and "memory" in result
+
+    def test_update_projects_fields(self):
+        raw = {"id": "abc", "memory": "updated", "extra": "noise"}
+        result = sanitize_agent_data("update", raw)
+        assert result == {"id": "abc", "memory": "updated"}
+
+    def test_event_list_projects_fields(self):
+        raw = [
+            {
+                "id": "evt-1",
+                "event_type": "ADD",
+                "status": "SUCCEEDED",
+                "graph_status": None,
+                "latency": 100.0,
+                "created_at": "2026-01-01",
+                "updated_at": "2026-01-02",
+            }
+        ]
+        result = sanitize_agent_data("event list", raw)
+        assert result == [
+            {
+                "id": "evt-1",
+                "event_type": "ADD",
+                "status": "SUCCEEDED",
+                "latency": 100.0,
+                "created_at": "2026-01-01",
+            }
+        ]
+        assert "updated_at" not in result[0]
+        assert "graph_status" not in result[0]
+
+    def test_event_status_flattens_results(self):
+        raw = {
+            "id": "evt-1",
+            "event_type": "ADD",
+            "status": "SUCCEEDED",
+            "latency": 100.0,
+            "created_at": "2026-01-01",
+            "updated_at": "2026-01-02",
+            "results": [
+                {"id": "mem-1", "event": "ADD", "user_id": "alice", "data": {"memory": "dark mode"}}
+            ],
+        }
+        result = sanitize_agent_data("event status", raw)
+        assert result["results"][0] == {
+            "id": "mem-1",
+            "event": "ADD",
+            "user_id": "alice",
+            "memory": "dark mode",
+        }
+        assert "data" not in result["results"][0]
+
+    def test_passthrough_commands(self):
+        for cmd in ("status", "import", "config show", "config get", "config set"):
+            data = {"key": "value", "other": "stuff"}
+            assert sanitize_agent_data(cmd, data) == data
+
+    def test_none_data(self):
+        assert sanitize_agent_data("add", None) is None

docs/api-reference/events/get-events.mdx

@@ -10,5 +10,4 @@ List recent events for your organization and project.
 
 - **Dashboards**: Summarize adds/searches over time by paging through events.
 - **Alerting**: Poll for `FAILED` events and trigger follow-up workflows.
-- **Audit**: Store the returned payload/metadata for compliance logs.
+- **Audit**: Store the returned payload/metadata for compliance logs.
-

docs/api-reference/memory/add-memories.mdx

@@ -52,6 +52,10 @@ Provide at least one message or direct memory string. Most callers supply `messa
 
 > \* Provide at least one `messages` entry to describe what you are storing. For scoped memories, include `user_id`. You can also attach `agent_id`, `app_id`, `run_id`, `project_id`, or `org_id` to refine ownership.
 
+<Tip>
+  Need more details? See [all request parameters](#body-messages) below for complete field descriptions, types, and constraints.
+</Tip>
+
 ## Response
 
 Successful requests return an array of events queued for processing. Each event includes the generated memory text and an identifier you can persist for auditing.

docs/api-reference/organizations-projects.mdx

@@ -82,7 +82,7 @@ new_project = client.project.create(
 
 ### Update Project Settings
 
-Modify project configuration including custom instructions, categories, and graph settings:
+Modify project configuration including custom instructions, categories, graph settings, and language preferences:
 
 ```python
 # Update project with custom categories
@@ -101,6 +101,9 @@ client.project.update(
 # Enable graph memory for the project
 client.project.update(enable_graph=True)
 
+# Use the input language for memory storage and retrieval
+client.project.update(multilingual=True)
+
 # Update multiple settings at once
 client.project.update(
     custom_instructions="...",
@@ -108,7 +111,8 @@ client.project.update(
         {"personal_info": "User personal information and preferences"},
         {"work_context": "Professional context and work-related information"}
     ],
-    enable_graph=True
+    enable_graph=True,
+    multilingual=True
 )
 ```
 

docs/changelog.mdx

@@ -8,20 +8,89 @@ mode: "wide"
 <Tabs>
 <Tab title="Python">
 
+<Update label="2026-04-01" description="v1.0.10">
+
+**New Features & Updates:**
+- **LLMs:** Added MiniMax provider support for AWS Bedrock ([#4609](https://github.com/mem0ai/mem0/pull/4609))
+
+**Bug Fixes:**
+- **Configs:** Migrated CassandraConfig and AzureMySQLConfig to pydantic v2 ConfigDict ([#4646](https://github.com/mem0ai/mem0/pull/4646))
+- **LLMs:** Forward `response_format` to OpenAI-compatible API for DeepSeek ([#4635](https://github.com/mem0ai/mem0/pull/4635))
+- **LLMs:** Forward `response_format` to OpenAI-compatible API for vLLM ([#4608](https://github.com/mem0ai/mem0/pull/4608))
+- **Vector Stores:** Only list authorized collections when listing MongoDB collections ([#3888](https://github.com/mem0ai/mem0/pull/3888))
+- **Core:** Reset graph database in `Memory.reset()` ([#4185](https://github.com/mem0ai/mem0/pull/4185))
+- **Core:** Make `AsyncMemory.from_config` a regular classmethod ([#4183](https://github.com/mem0ai/mem0/pull/4183))
+
+</Update>
+
+<Update label="2026-03-28" description="v1.0.9">
+
+**New Features & Updates:**
+- **LLMs:** Added `reasoning_effort` parameter support for reasoning models ([#4461](https://github.com/mem0ai/mem0/pull/4461))
+
+**Bug Fixes:**
+- **Core:** Preserved original `actor_id` during memory update ([#4570](https://github.com/mem0ai/mem0/pull/4570))
+- **Core:** Set `updated_at` on creation and preserve pre-existing `created_at` ([#4499](https://github.com/mem0ai/mem0/pull/4499))
+- **Core:** Centralized entity cleanup and skip malformed LLM relation dicts ([#4515](https://github.com/mem0ai/mem0/pull/4515))
+- **Core:** Removed `README.md` from wheel shared-data ([#4052](https://github.com/mem0ai/mem0/pull/4052))
+- **Vector Stores:** Handled `vector=None` in Milvus and Qdrant update methods ([#4568](https://github.com/mem0ai/mem0/pull/4568))
+- **Vector Stores:** Rebuilt FAISS index on vector deletion ([#4178](https://github.com/mem0ai/mem0/pull/4178))
+
+**Improvements:**
+- **Embeddings:** Updated default Gemini and Vertex AI embedder model to `gemini-embedding-001` ([#4571](https://github.com/mem0ai/mem0/pull/4571))
+
+</Update>
+
+<Update label="2026-03-26" description="v1.0.8">
+
+**New Features & Updates:**
+- **Vector Stores:** Integrated Turbopuffer as a vector database provider ([#4428](https://github.com/mem0ai/mem0/pull/4428))
+- **LLMs:** Added MiniMax LLM provider ([#4431](https://github.com/mem0ai/mem0/pull/4431))
+
+**Bug Fixes:**
+- **Core:** Fixed merging of multiple filter operators for the same key ([#4559](https://github.com/mem0ai/mem0/pull/4559))
+- **Core:** Prevented in-place mutation of metadata in `_create_memory` ([#4529](https://github.com/mem0ai/mem0/pull/4529))
+- **Core:** Preserved custom metadata when updating memory ([#4495](https://github.com/mem0ai/mem0/pull/4495))
+- **Core:** Handled chatty LLM responses in JSON parsing ([#4525](https://github.com/mem0ai/mem0/pull/4525))
+- **Core:** Prevented double embedding in `mem0.add` ([#3996](https://github.com/mem0ai/mem0/pull/3996))
+- **Core:** Raised `ValueError` when deleting nonexistent memory ([#4455](https://github.com/mem0ai/mem0/pull/4455))
+- **Core:** Cleaned up graph store data on `Memory.delete()` ([#4505](https://github.com/mem0ai/mem0/pull/4505))
+- **Vector Stores:** Prevented SQL injection in Databricks vector store ([#4558](https://github.com/mem0ai/mem0/pull/4558))
+- **Vector Stores:** Upgraded MongoDB vector store from deprecated `knnVector` to GA `vectorSearch` ([#3995](https://github.com/mem0ai/mem0/pull/3995))
+- **Vector Stores:** Prevented embedding corruption in Valkey and Redis when vector is `None` ([#4362](https://github.com/mem0ai/mem0/pull/4362))
+- **Vector Stores:** Accepted default `/tmp/chroma` path in `ChromaDbConfig` validator ([#4179](https://github.com/mem0ai/mem0/pull/4179))
+- **Vector Stores:** Wrapped vector and payload in lists for `Langchain.update` ([#4446](https://github.com/mem0ai/mem0/pull/4446))
+- **Graph:** Soft-delete graph relationships instead of hard `DELETE` ([#4188](https://github.com/mem0ai/mem0/pull/4188))
+- **Graph:** Sanitized hyphens in Neo4j Cypher relationship names ([#4154](https://github.com/mem0ai/mem0/pull/4154))
+- **Graph:** Used root LLM config as fallback for graph store instead of hardcoded OpenAI default ([#4466](https://github.com/mem0ai/mem0/pull/4466))
+- **Qdrant:** Fixed `do not remove local path on init` ([#4475](https://github.com/mem0ai/mem0/pull/4475))
+- **Qdrant:** Implemented enhanced metadata filtering operators ([#4127](https://github.com/mem0ai/mem0/pull/4127))
+- **Embeddings:** Fixed OpenAI embedding dimensions ([#4481](https://github.com/mem0ai/mem0/pull/4481))
+- **LLMs:** Omitted `topP` for Anthropic Converse in Bedrock; used `AWSBedrockConfig` in `LlmFactory` ([#4469](https://github.com/mem0ai/mem0/pull/4469))
+- **LLMs:** Avoided sending both `temperature` and `top_p` to Anthropic API ([#4471](https://github.com/mem0ai/mem0/pull/4471))
+- **LLMs:** Handled `None` content and empty candidates in `GeminiLLM` parsing ([#4462](https://github.com/mem0ai/mem0/pull/4462))
+- **LLMs:** Added missing `_parse_response` to `AzureOpenAIStructuredLLM` ([#4434](https://github.com/mem0ai/mem0/pull/4434))
+- **History:** Added timestamps for `DELETE` operations in history ([#4492](https://github.com/mem0ai/mem0/pull/4492))
+
+**Improvements:**
+- **Vector Stores:** Added vector validation to OpenSearchDB to ensure non-null, non-empty, and correct-dimension vectors ([#4472](https://github.com/mem0ai/mem0/pull/4472))
+
+</Update>
+
 <Update label="2026-03-19" description="v1.0.7">
 
 **Bug Fixes:**
-- **Core:** Fixed control characters in LLM JSON responses causing parse failures (#4420)
+- **Core:** Fixed control characters in LLM JSON responses causing parse failures ([#4420](https://github.com/mem0ai/mem0/pull/4420))
-- **Core:** Replaced hardcoded US/Pacific timezone references with `timezone.utc` (#4404)
+- **Core:** Replaced hardcoded US/Pacific timezone references with `timezone.utc` ([#4404](https://github.com/mem0ai/mem0/pull/4404))
-- **Core:** Preserved `http_auth` in `_safe_deepcopy_config` for OpenSearch (#4418)
+- **Core:** Preserved `http_auth` in `_safe_deepcopy_config` for OpenSearch ([#4418](https://github.com/mem0ai/mem0/pull/4418))
-- **Core:** Normalized malformed LLM fact output before embedding (#4224)
+- **Core:** Normalized malformed LLM fact output before embedding ([#4224](https://github.com/mem0ai/mem0/pull/4224))
-- **Embeddings:** Pass `encoding_format='float'` in OpenAI embeddings for proxy compatibility (#4058)
+- **Embeddings:** Pass `encoding_format='float'` in OpenAI embeddings for proxy compatibility ([#4058](https://github.com/mem0ai/mem0/pull/4058))
-- **LLMs:** Fixed Ollama to pass tools to `client.chat` and parse `tool_calls` from response (#4176)
+- **LLMs:** Fixed Ollama to pass tools to `client.chat` and parse `tool_calls` from response ([#4176](https://github.com/mem0ai/mem0/pull/4176))
-- **Reranker:** Support nested LLM config in `LLMReranker` for non-OpenAI providers (#4405)
+- **Reranker:** Support nested LLM config in `LLMReranker` for non-OpenAI providers ([#4405](https://github.com/mem0ai/mem0/pull/4405))
-- **Vector Stores:** Cast `vector_distance` to float in Redis search (#4377)
+- **Vector Stores:** Cast `vector_distance` to float in Redis search ([#4377](https://github.com/mem0ai/mem0/pull/4377))
 
 **Improvements:**
-- **Embeddings:** Improved Ollama embedder with model name normalization and error handling (#4403)
+- **Embeddings:** Improved Ollama embedder with model name normalization and error handling ([#4403](https://github.com/mem0ai/mem0/pull/4403))
 
 </Update>
 
@@ -763,6 +832,36 @@ mode: "wide"
 
 <Tab title="TypeScript">
 
+<Update label="2026-04-01" description="v2.4.5">
+
+**Bug Fixes:**
+- **OSS:** Replace `.single()` with `.maybeSingle()` in SupabaseDB.get() to handle missing rows ([#4599](https://github.com/mem0ai/mem0/pull/4599))
+- **Embeddings:** Pass dimensions parameter to OpenAI embeddings API ([#4632](https://github.com/mem0ai/mem0/pull/4632))
+- **OSS:** Extract JSON from chatty LLM responses in fact retrieval ([#4533](https://github.com/mem0ai/mem0/pull/4533))
+
+</Update>
+
+<Update label="2026-03-28" description="v2.4.4">
+
+**Bug Fixes:**
+- **OSS:** Fixed Qdrant Cloud "Illegal host" error by defaulting to port 6333 when URL has no explicit port ([#4565](https://github.com/mem0ai/mem0/pull/4565))
+
+</Update>
+
+<Update label="2026-03-26" description="v2.4.3">
+
+**New Features & Updates:**
+- **OSS:** Added pgvector support to NodeJS OSS `VectorStoreFactory` ([#3997](https://github.com/mem0ai/mem0/pull/3997))
+
+**Bug Fixes:**
+- **OSS:** Made pgvector `pg` import compatible with ESM ([#4544](https://github.com/mem0ai/mem0/pull/4544))
+- **OSS:** Registered pgvector in `VectorStoreFactory` ([#4502](https://github.com/mem0ai/mem0/pull/4502))
+- **OSS:** Used root LLM config as fallback for graph store instead of hardcoded OpenAI default ([#4466](https://github.com/mem0ai/mem0/pull/4466))
+- **OSS:** Fixed `toCamelCase` in Redis `get` method for the payload ([#3172](https://github.com/mem0ai/mem0/pull/3172))
+- **Client:** Fixed Zod Schema incompatibility with OpenAI Structured Outputs API ([#3462](https://github.com/mem0ai/mem0/pull/3462))
+
+</Update>
+
 <Update label="2026-03-19" description="v2.4.2">
 
 **Bug Fixes:**

docs/components/embedders/models/google_AI.mdx

@@ -19,7 +19,7 @@ config = {
     "embedder": {
         "provider": "gemini",
         "config": {
-            "model": "models/text-embedding-004",
+            "model": "models/gemini-embedding-001",
         }
     }
 }
@@ -66,7 +66,7 @@ Here are the parameters available for configuring Gemini embedder:
 <Tab title="Python">
 | Parameter        | Description                          | Default Value           |
 | ---------------- | ------------------------------------ | ----------------------- |
-| `model`          | The name of the embedding model to use| `models/text-embedding-004` |
+| `model`          | The name of the embedding model to use| `models/gemini-embedding-001` |
 | `embedding_dims` | Dimensions of the embedding model     | `1536`                  |
 | `api_key`        | The Google API key                   | `None`                  |
 </Tab>

docs/components/embedders/models/vertexai.mdx

@@ -20,7 +20,7 @@ config = {
     "embedder": {
         "provider": "vertexai",
         "config": {
-            "model": "text-embedding-004",
+            "model": "gemini-embedding-001",
             "memory_add_embedding_type": "RETRIEVAL_DOCUMENT",
             "memory_update_embedding_type": "RETRIEVAL_DOCUMENT",
             "memory_search_embedding_type": "RETRIEVAL_QUERY"
@@ -51,7 +51,7 @@ Here are the parameters available for configuring the Vertex AI embedder:
 
 | Parameter                 | Description                                      | Default Value        |
 | ------------------------- | ------------------------------------------------ | -------------------- |
-| `model`                   | The name of the Vertex AI embedding model to use | `text-embedding-004` |
+| `model`                   | The name of the Vertex AI embedding model to use | `gemini-embedding-001` |
 | `vertex_credentials_json` | Path to the Google Cloud credentials JSON file   | `None`               |
 | `embedding_dims`          | Dimensions of the embedding model                | `256`                |
 | `memory_add_embedding_type` | The type of embedding to use for the add memory action | `RETRIEVAL_DOCUMENT` |

docs/components/llms/models/google_AI.mdx

@@ -24,6 +24,7 @@ config = {
         "provider": "gemini",
         "config": {
             "model": "gemini-2.0-flash-001",
+            "api_key": "your-gemini-api-key",
             "temperature": 0.2,
             "max_tokens": 2000,
             "top_p": 1.0
@@ -52,6 +53,7 @@ const config = {
         provider: "gemini",
         config: {
             model: "gemini-2.0-flash-001",
+            apiKey: process.env.GOOGLE_API_KEY || '',
             temperature: 0.1
         }
     }

docs/components/rerankers/custom-prompts.mdx

@@ -7,58 +7,51 @@ When using LLM rerankers, you can customize the prompts used for ranking to bett
 
 ## Default Prompt
 
-The default LLM reranker prompt is designed to be general-purpose:
+The default LLM reranker prompt scores each memory individually on a 0.0-1.0 scale:
 
 ```
-Given a query and a list of memory entries, rank the memory entries based on their relevance to the query.
+You are a relevance scoring assistant. Given a query and a document, you need to score how relevant the document is to the query.
-Rate each memory on a scale of 1-10 where 10 is most relevant.
 
-Query: {query}
+Score the relevance on a scale from 0.0 to 1.0, where:
+- 1.0 = Perfectly relevant and directly answers the query
+- 0.8-0.9 = Highly relevant with good information
+- 0.6-0.7 = Moderately relevant with some useful information
+- 0.4-0.5 = Slightly relevant with limited useful information
+- 0.0-0.3 = Not relevant or no useful information
 
-Memory entries:
+Query: "{query}"
-{memories}
+Document: "{document}"
 
-Provide your ranking as a JSON array with scores for each memory.
+Provide only a single numerical score between 0.0 and 1.0. Do not include any explanation or additional text.
 ```
 
 ## Custom Prompt Configuration
 
-You can provide a custom prompt template when configuring the LLM reranker:
+You can provide a custom prompt template using the `scoring_prompt` parameter:
 
 ```python
 from mem0 import Memory
 
 custom_prompt = """
-You are an expert at ranking memories for a personal AI assistant.
+You are an expert at evaluating memories for a personal AI assistant.
-Given a user query and a list of memory entries, rank each memory based on:
+Given a user query and a memory entry, score how relevant the memory is.
-1. Direct relevance to the query
+Consider direct relevance, temporal relevance, and actionability.
-2. Temporal relevance (recent memories may be more important)
-3. Emotional significance
-4. Actionability
 
-Query: {query}
+Query: "{query}"
-User Context: {user_context}
+Memory: "{document}"
 
-Memory entries:
+Provide only a single numerical score between 0.0 and 1.0.
-{memories}
-
-Rate each memory from 1-10 and provide reasoning.
-Return as JSON: {{"rankings": [{{"index": 0, "score": 8, "reason": "..."}}]}}
 """
 
 config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
-            "llm": {
+            "provider": "openai",
-                "provider": "openai",
+            "model": "gpt-4o-mini",
-                "config": {
+            "api_key": "your-openai-key",
-                    "model": "gpt-4.1-nano-2025-04-14",
+            "scoring_prompt": custom_prompt,
-                    "api_key": "your-openai-key"
+            "top_k": 5
-                }
-            },
-            "custom_prompt": custom_prompt,
-            "top_n": 5
         }
     }
 }
@@ -70,12 +63,14 @@ memory = Memory.from_config(config)
 
 Your custom prompt can use the following variables:
 
-| Variable         | Description                           |
+| Variable     | Description                   |
-| ---------------- | ------------------------------------- |
+| ------------ | ----------------------------- |
-| `{query}`        | The search query                      |
+| `{query}`    | The search query              |
-| `{memories}`     | The list of memory entries to rank    |
+| `{document}` | The memory entry being scored |
-| `{user_id}`      | The user ID (if available)            |
+
-| `{user_context}` | Additional user context (if provided) |
+<Note>
+  Both `{query}` and `{document}` are required in your custom prompt. The LLM reranker scores each memory individually against the query, so the prompt is called once per candidate memory.
+</Note>
 
 ## Domain-Specific Examples
 
@@ -89,13 +84,10 @@ Prioritize memories that:
 - Show previous resolution patterns
 - Indicate customer preferences or constraints
 
-Query: {query}
+Query: "{query}"
-Customer Context: Previous interactions with this customer
+Memory: "{document}"
 
-Memories:
+Score relevance from 0.0 to 1.0.
-{memories}
-
-Rank each memory 1-10 based on support relevance.
 """
 ```
 
@@ -103,19 +95,16 @@ Rank each memory 1-10 based on support relevance.
 
 ```python
 educational_prompt = """
-Rank these learning memories for a student query.
+Score this learning memory for relevance to a student query.
 Consider:
 - Prerequisite knowledge requirements
 - Learning progression and difficulty
 - Relevance to current learning objectives
 
-Student Query: {query}
+Student Query: "{query}"
-Learning Context: {user_context}
+Memory: "{document}"
 
-Available memories:
+Score educational relevance from 0.0 to 1.0.
-{memories}
-
-Score each memory for educational value (1-10).
 """
 ```
 
@@ -123,73 +112,64 @@ Score each memory for educational value (1-10).
 
 ```python
 personal_assistant_prompt = """
-Rank personal memories for relevance to the user's query.
+Score this personal memory for relevance to the user's query.
 Consider:
 - Recent vs. historical importance
 - Personal preferences and habits
-- Contextual relationships between memories
+- Contextual relationships
 
-Query: {query}
+Query: "{query}"
-Personal context: {user_context}
+Memory: "{document}"
 
-Memories to rank:
+Provide relevance score from 0.0 to 1.0.
-{memories}
-
-Provide relevance scores (1-10) with brief explanations.
 """
 ```
 
 ## Advanced Prompt Techniques
 
-### Multi-Criteria Ranking
+### Multi-Criteria Scoring
 
 ```python
 multi_criteria_prompt = """
-Evaluate memories using multiple criteria:
+Evaluate this memory using multiple criteria:
 
 1. RELEVANCE (40%): How directly related to the query
-2. RECENCY (20%): How recent the memory is
+2. RECENCY (20%): How recent the memory appears to be
 3. IMPORTANCE (25%): Personal or business significance
 4. ACTIONABILITY (15%): How useful for next steps
 
-Query: {query}
+Query: "{query}"
-Context: {user_context}
+Memory: "{document}"
 
-Memories:
+Compute a weighted score from 0.0 to 1.0 based on these criteria.
-{memories}
+Provide only the final numerical score.
-
-For each memory, provide:
-- Overall score (1-10)
-- Breakdown by criteria
-- Final ranking recommendation
-
-Format: JSON with detailed scoring
 """
 ```
 
-### Contextual Ranking
+### Chain-of-Thought Scoring
 
 ```python
-contextual_prompt = """
+reasoning_prompt = """
-Consider the following context when ranking memories:
+Evaluate this memory's relevance step by step:
-- Current user situation: {user_context}
-- Time of day: {current_time}
-- Recent activities: {recent_activities}
 
-Query: {query}
+1. What is the main intent of the query?
+2. What key information does the memory contain?
+3. How directly does the memory address the query?
 
-Rank these memories considering both direct relevance and contextual appropriateness:
+Based on this analysis, provide a single relevance score from 0.0 to 1.0.
-{memories}
 
-Provide contextually-aware relevance scores (1-10).
+Query: "{query}"
+Memory: "{document}"
+
+Score:
 """
 ```
 
 ## Best Practices
 
 1. **Be Specific**: Clearly define what makes a memory relevant for your use case
-2. **Use Examples**: Include examples in your prompt for better model understanding
+2. **Use 0.0-1.0 Scale**: The score extractor expects values between 0.0 and 1.0
-3. **Structure Output**: Specify the exact JSON format you want returned
+3. **Request Only the Score**: Ask for just the numerical score to improve extraction reliability
 4. **Test Iteratively**: Refine your prompt based on actual ranking performance
 5. **Consider Token Limits**: Keep prompts concise while being comprehensive
 
@@ -206,7 +186,7 @@ prompts = [
 ]
 
 for i, prompt in enumerate(prompts):
-    config["reranker"]["config"]["custom_prompt"] = prompt
+    config["reranker"]["config"]["scoring_prompt"] = prompt
     memory = Memory.from_config(config)
 
     results = memory.search("test query", user_id="test_user")
@@ -216,6 +196,6 @@ for i, prompt in enumerate(prompts):
 ## Common Issues
 
 - **Too Long**: Keep prompts under token limits for your chosen LLM
-- **Too Vague**: Be specific about ranking criteria
+- **Too Vague**: Be specific about scoring criteria
-- **Inconsistent Format**: Ensure JSON output format is clearly specified
+- **Wrong Scale**: Use 0.0-1.0 scale to match the default score extractor
-- **Missing Context**: Include relevant variables for your use case
+- **Extra Output**: Ask for only the numeric score — extra text can confuse score extraction

docs/components/rerankers/models/llm_reranker.mdx

@@ -18,13 +18,9 @@ config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
-            "llm": {
+            "provider": "openai",
-                "provider": "openai",
+            "model": "gpt-4o-mini",
-                "config": {
+            "api_key": "your-openai-api-key"
-                    "model": "gpt-4",
-                    "api_key": "your-openai-api-key"
-                }
-            }
         }
     }
 }
@@ -36,11 +32,14 @@ m = Memory.from_config(config)
 
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
-| `llm` | dict | Required | LLM configuration object |
+| `provider` | str | `"openai"` | LLM provider (openai, anthropic, etc.) |
-| `top_k` | int | 10 | Number of results to rerank |
+| `model` | str | `"gpt-4o-mini"` | LLM model to use for reranking |
+| `api_key` | str | None | API key for the LLM provider |
+| `top_k` | int | None | Number of top documents to return after reranking |
 | `temperature` | float | 0.0 | LLM temperature for consistency |
-| `custom_prompt` | str | None | Custom reranking prompt |
+| `max_tokens` | int | 100 | Maximum tokens for LLM response |
-| `score_range` | tuple | (0, 10) | Score range for relevance |
+| `scoring_prompt` | str | None | Custom prompt template for scoring documents |
+| `llm` | dict | None | Optional nested LLM config for provider-specific fields (e.g., `ollama_base_url`, `azure_endpoint`). Overrides top-level `provider`/`model`/`api_key` when provided. |
 
 ### Advanced Configuration
 
@@ -49,20 +48,19 @@ config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
-            "llm": {
+            "provider": "anthropic",
-                "provider": "anthropic",
+            "model": "claude-sonnet-4-20250514",
-                "config": {
+            "api_key": "your-anthropic-api-key",
-                    "model": "claude-3-sonnet-20240229",
-                    "api_key": "your-anthropic-api-key"
-                }
-            },
             "top_k": 15,
             "temperature": 0.0,
-            "score_range": (1, 5),
+            "scoring_prompt": """
-            "custom_prompt": """
+            Rate the relevance of each memory to the query on a scale of 0.0-1.0.
-            Rate the relevance of each memory to the query on a scale of 1-5.
             Consider semantic similarity, context, and practical utility.
             Only provide the numeric score.
+
+            Query: "{query}"
+            Document: "{document}"
+            Score:
             """
         }
     }
@@ -78,14 +76,10 @@ config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
-            "llm": {
+            "provider": "openai",
-                "provider": "openai",
+            "model": "gpt-4o-mini",
-                "config": {
+            "api_key": "your-openai-api-key",
-                    "model": "gpt-4",
+            "temperature": 0.0
-                    "api_key": "your-openai-api-key",
-                    "temperature": 0.0
-                }
-            }
         }
     }
 }
@@ -98,13 +92,9 @@ config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
-            "llm": {
+            "provider": "anthropic",
-                "provider": "anthropic",
+            "model": "claude-sonnet-4-20250514",
-                "config": {
+            "api_key": "your-anthropic-api-key"
-                    "model": "claude-3-sonnet-20240229",
-                    "api_key": "your-anthropic-api-key"
-                }
-            }
         }
     }
 }
@@ -117,10 +107,12 @@ config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
+            "provider": "ollama",
+            "model": "llama3.2",
             "llm": {
                 "provider": "ollama",
                 "config": {
-                    "model": "llama2",
+                    "model": "llama3.2",
                     "ollama_base_url": "http://localhost:11434"
                 }
             }
@@ -129,6 +121,10 @@ config = {
 }
 ```
 
+<Note>
+  For providers like Ollama that need extra fields (e.g., `ollama_base_url`), use the optional nested `llm` key to pass provider-specific configuration. The nested `llm` config overrides top-level `provider`/`model`/`api_key` when provided.
+</Note>
+
 ### Azure OpenAI
 
 ```python
@@ -136,13 +132,16 @@ config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
+            "provider": "azure_openai",
+            "model": "gpt-4o-mini",
+            "api_key": "your-azure-api-key",
             "llm": {
                 "provider": "azure_openai",
                 "config": {
-                    "model": "gpt-4",
+                    "model": "gpt-4o-mini",
                     "api_key": "your-azure-api-key",
                     "azure_endpoint": "https://your-resource.openai.azure.com/",
-                    "azure_deployment": "gpt-4-deployment"
+                    "azure_deployment": "gpt-4o-mini-deployment"
                 }
             }
         }
@@ -154,16 +153,22 @@ config = {
 
 ### Default Prompt Behavior
 
-The default prompt asks the LLM to score relevance on a 0-10 scale:
+The default prompt asks the LLM to score relevance on a 0.0-1.0 scale:
 
 ```
-Given a query and a memory, rate how relevant the memory is to answering the query.
+You are a relevance scoring assistant. Given a query and a document, you need to score how relevant the document is to the query.
-Score from 0 (completely irrelevant) to 10 (perfectly relevant).
-Only provide the numeric score.
 
-Query: {query}
+Score the relevance on a scale from 0.0 to 1.0, where:
-Memory: {memory}
+- 1.0 = Perfectly relevant and directly answers the query
-Score:
+- 0.8-0.9 = Highly relevant with good information
+- 0.6-0.7 = Moderately relevant with some useful information
+- 0.4-0.5 = Slightly relevant with limited useful information
+- 0.0-0.3 = Not relevant or no useful information
+
+Query: "{query}"
+Document: "{document}"
+
+Provide only a single numerical score between 0.0 and 1.0. Do not include any explanation or additional text.
 ```
 
 ### Custom Prompt Examples
@@ -174,14 +179,14 @@ Score:
 custom_prompt = """
 You are a medical information specialist. Rate how relevant each memory is for answering the medical query.
 Consider clinical accuracy, specificity, and practical applicability.
-Rate from 1-10 where:
+Rate from 0.0 to 1.0 where:
-- 1-3: Irrelevant or potentially harmful
+- 0.0-0.3: Irrelevant or potentially harmful
-- 4-6: Somewhat relevant but incomplete
+- 0.4-0.6: Somewhat relevant but incomplete
-- 7-8: Relevant and helpful
+- 0.7-0.8: Relevant and helpful
-- 9-10: Highly relevant and clinically useful
+- 0.9-1.0: Highly relevant and clinically useful
 
-Query: {query}
+Query: "{query}"
-Memory: {memory}
+Document: "{document}"
 Score:
 """
 
@@ -189,14 +194,10 @@ config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
-            "llm": {
+            "provider": "openai",
-                "provider": "openai",
+            "model": "gpt-4o-mini",
-                "config": {
+            "api_key": "your-api-key",
-                    "model": "gpt-4",
+            "scoring_prompt": custom_prompt
-                    "api_key": "your-api-key"
-                }
-            },
-            "custom_prompt": custom_prompt
         }
     }
 }
@@ -213,15 +214,15 @@ Consider:
 - Recency and accuracy
 - Practical usefulness
 
-Rate 1-5:
+Rate 0.0-1.0:
-1 = Not relevant
+0.0 = Not relevant
-2 = Slightly relevant
+0.25 = Slightly relevant
-3 = Moderately relevant
+0.5 = Moderately relevant
-4 = Very relevant
+0.75 = Very relevant
-5 = Perfectly answers the question
+1.0 = Perfectly answers the question
 
-Query: {query}
+Query: "{query}"
-Memory: {memory}
+Document: "{document}"
 Score:
 """
 ```
@@ -239,13 +240,17 @@ Consider:
 - Factual accuracy
 - Conversation flow
 
-Rate 0-10:
+Rate 0.0-1.0:
-Query: {query}
+Query: "{query}"
-Memory: {memory}
+Document: "{document}"
 Score:
 """
 ```
 
+<Note>
+  Custom prompts must include `{query}` and `{document}` placeholders. The LLM response should contain a numerical score which is automatically extracted.
+</Note>
+
 ## Usage Examples
 
 ### Basic Usage
@@ -295,9 +300,9 @@ results = safe_llm_rerank_search("What are my preferences?", "alice")
 
 | Model Type | Speed | Quality | Cost | Best For |
 |------------|-------|---------|------|----------|
-| GPT-3.5 Turbo | Fast | Good | Low | High-volume applications |
+| GPT-4o mini | Fast | Good | Low | High-volume applications |
-| GPT-4 | Medium | Excellent | Medium | Quality-critical applications |
+| GPT-4o | Medium | Excellent | Medium | Quality-critical applications |
-| Claude 3 Sonnet | Medium | Excellent | Medium | Balanced performance |
+| Claude Sonnet | Medium | Excellent | Medium | Balanced performance |
 | Ollama Local | Variable | Good | Free | Privacy-sensitive applications |
 
 ### Optimization Strategies
@@ -308,14 +313,10 @@ fast_config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
-            "llm": {
+            "provider": "openai",
-                "provider": "openai",
+            "model": "gpt-4o-mini",
-                "config": {
+            "api_key": "your-api-key",
-                    "model": "gpt-3.5-turbo",
+            "top_k": 5,
-                    "api_key": "your-api-key"
-                }
-            },
-            "top_k": 5,  # Limit candidates
             "temperature": 0.0
         }
     }
@@ -326,13 +327,9 @@ quality_config = {
     "reranker": {
         "provider": "llm_reranker",
         "config": {
-            "llm": {
+            "provider": "openai",
-                "provider": "openai",
+            "model": "gpt-4o",
-                "config": {
+            "api_key": "your-api-key",
-                    "model": "gpt-4",
-                    "api_key": "your-api-key"
-                }
-            },
             "top_k": 15,
             "temperature": 0.0
         }
@@ -353,10 +350,10 @@ Evaluate this memory's relevance using multi-step reasoning:
 3. How directly does the memory address the query?
 4. What additional context might be needed?
 
-Based on this analysis, rate relevance 1-10:
+Based on this analysis, rate relevance 0.0-1.0:
 
-Query: {query}
+Query: "{query}"
-Memory: {memory}
+Document: "{document}"
 
 Analysis:
 Step 1 (Intent):
@@ -367,42 +364,6 @@ Final Score:
 """
 ```
 
-### Comparative Ranking
-
-```python
-comparative_prompt = """
-You will see a query and multiple memories. Rank them in order of relevance.
-Consider which memories best answer the question and would be most helpful.
-
-Query: {query}
-
-Memories to rank:
-{memories}
-
-Provide scores 1-10 for each memory, considering their relative usefulness.
-"""
-```
-
-### Emotional Intelligence
-
-```python
-emotional_prompt = """
-Consider both factual relevance and emotional appropriateness.
-Rate how suitable this memory is for responding to the user's query.
-
-Factors to consider:
-- Factual accuracy and relevance
-- Emotional tone and sensitivity
-- User's likely emotional state
-- Appropriateness of response
-
-Query: {query}
-Memory: {memory}
-Emotional Context: {context}
-Score (1-10):
-"""
-```
-
 ## Error Handling and Fallbacks
 
 ```python
@@ -433,14 +394,22 @@ class RobustLLMReranker:
 primary_config = {
     "reranker": {
         "provider": "llm_reranker",
-        "config": {"llm": {"provider": "openai", "config": {"model": "gpt-4"}}}
+        "config": {
+            "provider": "openai",
+            "model": "gpt-4o",
+            "api_key": "your-api-key"
+        }
     }
 }
 
 fallback_config = {
     "reranker": {
         "provider": "llm_reranker",
-        "config": {"llm": {"provider": "openai", "config": {"model": "gpt-3.5-turbo"}}}
+        "config": {
+            "provider": "openai",
+            "model": "gpt-4o-mini",
+            "api_key": "your-api-key"
+        }
     }
 }
 
@@ -486,4 +455,4 @@ results = reranker.search("What are my preferences?", "alice")
   <Card title="Performance Optimization" icon="bolt" href="/components/rerankers/optimization">
     Optimize LLM reranker performance
   </Card>
-</CardGroup>
+</CardGroup>

docs/components/vectordbs/dbs/faiss.mdx

@@ -52,7 +52,7 @@ Here are the parameters available for configuring FAISS:
 | Parameter | Description | Default Value |
 | --- | --- | --- |
 | `collection_name` | The name of the collection | `mem0` |
-| `path` | Path to store FAISS index and metadata | `~/.local/share/mem0/faiss/<collection_name>` |
+| `path` | Path to store FAISS index and metadata | `/tmp/faiss/<collection_name>` |
 | `distance_strategy` | Distance metric strategy to use (options: 'euclidean', 'inner_product', 'cosine') | `euclidean` |
 | `normalize_L2` | Whether to normalize L2 vectors (only applicable for euclidean distance) | `False` |
 

docs/components/vectordbs/dbs/qdrant.mdx

@@ -73,7 +73,7 @@ Let's see the available parameters for the `qdrant` config:
 | `client` | Custom client for qdrant | `None` |
 | `host` | The host where the qdrant server is running | `None` |
 | `port` | The port where the qdrant server is running | `None` |
-| `path` | Path for the qdrant database | `~/.local/share/mem0/qdrant` |
+| `path` | Path for the qdrant database | `/tmp/qdrant` |
 | `url` | Full URL for the qdrant server | `None` |
 | `api_key` | API key for the qdrant server | `None` |
 | `on_disk` | For enabling persistent storage | `False` |
@@ -85,7 +85,7 @@ Let's see the available parameters for the `qdrant` config:
 | `embeddingModelDims` | Dimensions of the embedding model | `1536` |
 | `host` | The host where the Qdrant server is running | `None` |
 | `port` | The port where the Qdrant server is running | `None` |
-| `path` | Path for the Qdrant database | `~/.local/share/mem0/qdrant` |
+| `path` | Path for the Qdrant database | `/tmp/qdrant` |
 | `url` | Full URL for the Qdrant server | `None` |
 | `apiKey` | API key for the Qdrant server | `None` |
 | `onDisk` | For enabling persistent storage | `False` |

docs/cookbooks/essentials/building-ai-companion.mdx

@@ -10,6 +10,32 @@ Problem: LLMs are stateless. GPT doesn't remember conversations. You could stuff
 
 The solution: Mem0. It extracts and stores what matters from conversations, then retrieves it when needed. Your companion remembers user preferences, past events, and history.
 
+<Tabs>
+  <Tab title="Platform">
+  </Tab>
+  <Tab title="Open Source">
+    Here we use **Mem0 open source** (`Memory`): all local, no API keys needed for memory. Vectors in **Qdrant**, LLM and embeddings via **Ollama**. The **OpenAI** Python SDK calls Ollama's **OpenAI-compatible** `/v1` endpoint for Ray's chat replies.
+
+    ## Installation
+
+    Install the required dependencies:
+
+    ```bash
+    pip install mem0ai qdrant-client openai ollama
+    ```
+
+    Then start Qdrant and pull the Ollama models:
+
+    ```bash
+    docker run -d -p 6333:6333 qdrant/qdrant
+    ollama pull llama3.1:latest
+    ollama pull nomic-embed-text:latest
+    ```
+
+    <Note>You can swap `nomic-embed-text` for any Ollama-supported embedding model (e.g., `snowflake-arctic-embed`, `mxbai-embed-large`). Just update the `model` in the `embedder` config and set `embedding_model_dims` in the Qdrant config to match the model's output dimensions (768 for `nomic-embed-text`).</Note>
+  </Tab>
+</Tabs>
+
 In this cookbook we'll build a **fitness companion** that:
 
 - Remembers user goals across sessions
@@ -25,6 +51,8 @@ By the end, you'll have a working fitness companion and know how to handle commo
 
 Max wants to train for a marathon. He starts chatting with Ray, an AI running coach.
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 from openai import OpenAI
 from mem0 import MemoryClient
@@ -53,8 +81,73 @@ def chat(user_input, user_id):
     ], user_id=user_id)
 
     return response
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+from openai import OpenAI
+from mem0 import Memory
+
+OLLAMA_URL = "http://localhost:11434"
+CHAT_MODEL = "llama3.1:latest"
+
+memory = Memory.from_config({
+    "vector_store": {
+        "provider": "qdrant",
+        "config": {
+            "collection_name": "fitness_companion",
+            "host": "localhost",
+            "port": 6333,
+            "embedding_model_dims": 768,
+        },
+    },
+    "llm": {
+        "provider": "ollama",
+        "config": {
+            "model": CHAT_MODEL,
+            "temperature": 0,
+            "max_tokens": 2000,
+            "ollama_base_url": OLLAMA_URL,
+        },
+    },
+    "embedder": {
+        "provider": "ollama",
+        "config": {
+            "model": "nomic-embed-text:latest",
+            "ollama_base_url": OLLAMA_URL,
+        },
+    },
+})
+
+ollama_chat = OpenAI(base_url=f"{OLLAMA_URL}/v1", api_key="ollama")
+
+def chat(user_input, user_id):
+    # Retrieve relevant memories
+    memories = memory.search(user_input, user_id=user_id, limit=5)
+    context = "\n".join(m["memory"] for m in memories["results"])
+
+    # Call LLM with memory context (Ollama via OpenAI-compatible API)
+    response = ollama_chat.chat.completions.create(
+        model=CHAT_MODEL,
+        messages=[
+            {"role": "system", "content": f"You're Ray, a running coach. Memories:\n{context}"},
+            {"role": "user", "content": user_input},
+        ],
+    ).choices[0].message.content
+
+    # Store the exchange
+    memory.add(
+        [
+            {"role": "user", "content": user_input},
+            {"role": "assistant", "content": response},
+        ],
+        user_id=user_id,
+    )
+
+    return response
+```
+  </Tab>
+</Tabs>
 
 **Session 1:**
 
@@ -62,7 +155,6 @@ def chat(user_input, user_id):
 chat("I want to run a marathon in under 4 hours", user_id="max")
 # Output: "That's a solid goal. What's your current weekly mileage?"
 # Stored in Mem0: "Max wants to run sub-4 marathon"
-
 ```
 
 **Session 2 (next day, app restarted):**
@@ -70,7 +162,6 @@ chat("I want to run a marathon in under 4 hours", user_id="max")
 ```python
 chat("What should I focus on today?", user_id="max")
 # Output: "Based on your sub-4 marathon goal, let's work on building your aerobic base..."
-
 ```
 
 <Info>
@@ -87,6 +178,8 @@ Ray remembers. Restart the app, and the goal persists. From here on, we'll focus
 
 Max mentions his knee hurts. That's different from his marathon goal - one is temporary, the other is long-term.
 
+<Tabs>
+  <Tab title="Platform">
 **Categories vs Metadata:**
 
 - **Categories**: AI-assigned by Mem0 based on content (you can't force them)
@@ -100,7 +193,6 @@ mem0_client.project.update(custom_categories=[
     {"constraints": "Injuries, limitations, recovery needs"},
     {"preferences": "Training style, surfaces, schedules"}
 ])
-
 ```
 
 <Note>
@@ -121,7 +213,6 @@ mem0_client.add(
     [{"role": "user", "content": "My right knee flares up on downhills"}],
     user_id="max"
 )
-
 ```
 
 Mem0 reads the content and intelligently picks which categories apply. You define the palette, it handles the tagging.
@@ -135,13 +226,50 @@ mem0_client.add(
     user_id="max",
     metadata={"workout_type": "speed", "forced_tag": "custom_label"}
 )
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+**Categories via Metadata:**
+
+In open source, model categories with a stable field in `metadata`—here we use `memory_bucket`:
+
+```python
+# Add goal
+memory.add(
+    [{"role": "user", "content": "Sub-4 marathon is my A-race"}],
+    user_id="max",
+    metadata={"memory_bucket": "goals"},
+)
+
+# Add constraint
+memory.add(
+    [{"role": "user", "content": "My right knee flares up on downhills"}],
+    user_id="max",
+    metadata={"memory_bucket": "constraints"},
+)
+```
+
+<Note>
+**Categories vs Metadata:** In open source, categories are modeled as `metadata` fields you set on each `add`. Filters only see what you put on `add`.
+</Note>
+
+```python
+# Force tag using metadata
+memory.add(
+    [{"role": "user", "content": "Some workout note"}],
+    user_id="max",
+    metadata={"memory_bucket": "goals", "workout_type": "speed", "forced_tag": "custom_label"},
+)
+```
+  </Tab>
+</Tabs>
 
 ### Filtering by Category
 
 Retrieve just constraints for workout planning:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 constraints = mem0_client.search(
     query="injury concerns",
@@ -155,8 +283,21 @@ constraints = mem0_client.search(
 )
 print([m["memory"] for m in constraints["results"]])
 # Output: ["Max's right knee flares up on downhills"]
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+constraints = memory.search(
+    query="injury concerns",
+    user_id="max",
+    filters={"memory_bucket": {"in": ["constraints"]}},
+    threshold=0.0  # optional: widen recall for short phrases
+)
+print([m["memory"] for m in constraints["results"]])
+# Output: ["Max's right knee flares up on downhills"]
+```
+  </Tab>
+</Tabs>
 
 Ray can plan workouts that avoid aggravating Max's knee, without pulling in race goals or other unrelated memories.
 
@@ -168,12 +309,22 @@ Ray can plan workouts that avoid aggravating Max's knee, without pulling in race
 
 Run the basic loop for a week and check what's stored:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 memories = mem0_client.get_all(filters={"AND": [{"user_id": "max"}]})
 print([m["memory"] for m in memories["results"]])
 # Output: ["Max wants to run marathon under 4 hours", "hey", "lol ok", "cool thanks", "gtg bye"]
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+memories = memory.get_all(user_id="max")
+print([m["memory"] for m in memories["results"]])
+# Output: ["Max wants to run marathon under 4 hours", "hey", "lol ok", "cool thanks", "gtg bye"]
+```
+  </Tab>
+</Tabs>
 
 <Warning>
 Without filters, Mem0 stores everything—greetings, filler, and casual chat. This pollutes retrieval: instead of pulling "marathon goal," you get "lol ok." Set custom instructions to keep memory clean.
@@ -183,6 +334,8 @@ Noise. Greetings and filler clutter the memory.
 
 ### Custom Instructions
 
+<Tabs>
+  <Tab title="Platform">
 Tell Mem0 what matters:
 
 ```python
@@ -198,11 +351,38 @@ Exclude:
 - Casual chatter
 - Hypotheticals unless planning related
 """)
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+Tell Mem0 what matters by including `custom_fact_extraction_prompt` in the config dict:
+
+```python
+MEMORY_CONFIG["custom_fact_extraction_prompt"] = """
+Extract from running coach conversations:
+- Training goals and race targets
+- Physical constraints or injuries
+- Training preferences (time of day, surfaces, weather)
+- Progress milestones
+
+Exclude:
+- Greetings and filler
+- Casual chatter
+- Hypotheticals unless planning related
+
+Return JSON with key "facts" as a list of strings (use [] if nothing to store).
+"""
+
+memory = Memory.from_config(MEMORY_CONFIG)
+```
+
+<Note>`custom_fact_extraction_prompt` is a top-level key in the config dictionary passed to `Memory.from_config()`. Make sure it's set before creating the Memory instance — not after.</Note>
+  </Tab>
+</Tabs>
 
 Now chat again:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 chat("hey how's it going", user_id="max")
 chat("I prefer trail running over roads", user_id="max")
@@ -210,8 +390,19 @@ chat("I prefer trail running over roads", user_id="max")
 memories = mem0_client.get_all(filters={"AND": [{"user_id": "max"}]})
 print([m["memory"] for m in memories["results"]])
 # Output: ["Max wants to run marathon under 4 hours", "Max prefers trail running over roads"]
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+chat("hey how's it going", user_id="max")
+chat("I prefer trail running over roads", user_id="max")
+
+memories = memory.get_all(user_id="max")
+print([m["memory"] for m in memories["results"]])
+# Output: ["Max wants to run marathon under 4 hours", "Max prefers trail running over roads"]
+```
+  </Tab>
+</Tabs>
 
 <Info>
 **Expected output:** Only 2 memories stored—the marathon goal and trail preference. The greeting "hey how's it going" was filtered out automatically. Custom instructions are working.
@@ -221,8 +412,6 @@ Only meaningful facts. Filler gets dropped automatically.
 
 ---
 
----
-
 ## Agent Memory for Personality
 
 ### Why Agents Need Memory Too
@@ -231,16 +420,30 @@ Max prefers direct feedback, not motivational fluff. Ray needs to remember how t
 
 Store agent personality:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 mem0_client.add(
     [{"role": "system", "content": "Max wants direct, data-driven feedback. Skip motivational language."}],
     agent_id="ray_coach"
 )
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+memory.add(
+    [{"role": "user", "content": "Max wants direct, data-driven feedback. Skip motivational language."}],
+    agent_id="ray_coach",
+    infer=False,
+)
+```
+  </Tab>
+</Tabs>
 
 Retrieve agent style alongside user memories:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 # Get coach personality
 agent_memories = mem0_client.search("coaching style", agent_id="ray_coach")
@@ -251,8 +454,26 @@ mem0_client.add([
     {"role": "user", "content": "How'd my run look today?"},
     {"role": "assistant", "content": "Pace was 8:15/mile. Heart rate 152, zone 2."}
 ], user_id="max", agent_id="ray_coach")
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+# Get coach personality
+agent_memories = memory.search("coaching style", agent_id="ray_coach")
+# Output: ["Max wants direct, data-driven feedback. Skip motivational language."]
+
+# Store conversations with agent_id
+memory.add(
+    [
+        {"role": "user", "content": "How'd my run look today?"},
+        {"role": "assistant", "content": "Pace was 8:15/mile. Heart rate 152, zone 2."},
+    ],
+    user_id="max",
+    agent_id="ray_coach",
+)
+```
+  </Tab>
+</Tabs>
 
 <Info>
 **Expected behavior:** Ray's responses are now data-driven and direct. The agent memory stored the coaching style preference, so future responses adapt automatically without Max having to repeat his preference.
@@ -268,6 +489,8 @@ No "Great job!" or "Keep it up!" - just data. Ray adapts to Max's preference.
 
 Don't send every single message to Mem0. Keep recent context in memory, let Mem0 handle the important long-term facts.
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 # Store only meaningful exchanges in Mem0
 mem0_client.add([
@@ -280,8 +503,27 @@ mem0_client.add([
 # "cool thanks" → don't store
 
 # Or rely on custom_instructions to filter automatically
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+# Store only meaningful exchanges in Mem0
+memory.add(
+    [
+        {"role": "user", "content": "I want to run a marathon"},
+        {"role": "assistant", "content": "Let's build a training plan"},
+    ],
+    user_id="max",
+)
+
+# Skip storing filler
+# "hey" → don't store
+# "cool thanks" → don't store
+
+# Or rely on custom_fact_extraction_prompt to filter automatically
+```
+  </Tab>
+</Tabs>
 
 Last 10 messages in your app's buffer. Important facts in Mem0. Faster, cheaper, still works.
 
@@ -293,6 +535,8 @@ Last 10 messages in your app's buffer. Important facts in Mem0. Faster, cheaper,
 
 Max tweaks his ankle. It'll heal in two weeks - the memory should expire too.
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 from datetime import datetime, timedelta
 
@@ -303,10 +547,26 @@ mem0_client.add(
     user_id="max",
     expiration_date=expiration
 )
-
 ```
 
 In 14 days, this memory disappears automatically. Ray stops asking about the ankle.
+  </Tab>
+  <Tab title="Open Source">
+```python
+from datetime import datetime, timedelta
+
+expiration = (datetime.now() + timedelta(days=14)).strftime("%Y-%m-%d")
+
+memory.add(
+    [{"role": "user", "content": "Rolled my left ankle, needs rest"}],
+    user_id="max",
+    metadata={"memory_bucket": "constraints", "expires_on": expiration},
+)
+```
+
+Store `expires_on` in metadata and prune expired memories in your app. Ray stops asking about the ankle once it's removed.
+  </Tab>
+</Tabs>
 
 ---
 
@@ -314,6 +574,8 @@ In 14 days, this memory disappears automatically. Ray stops asking about the ank
 
 Here's the Mem0 setup combining everything:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 from mem0 import MemoryClient
 from datetime import datetime, timedelta
@@ -332,11 +594,55 @@ mem0_client.project.update(
         {"name": "preferences", "description": "Training style"}
     ]
 )
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+from mem0 import Memory
+from datetime import datetime, timedelta
+
+MEMORY_CONFIG = {
+    "vector_store": {
+        "provider": "qdrant",
+        "config": {
+            "collection_name": "fitness_companion",
+            "host": "localhost",
+            "port": 6333,
+            "embedding_model_dims": 768,
+        },
+    },
+    "llm": {
+        "provider": "ollama",
+        "config": {
+            "model": "llama3.1:latest",
+            "temperature": 0,
+            "max_tokens": 2000,
+            "ollama_base_url": "http://localhost:11434",
+        },
+    },
+    "embedder": {
+        "provider": "ollama",
+        "config": {
+            "model": "nomic-embed-text:latest",
+            "ollama_base_url": "http://localhost:11434",
+        },
+    },
+    "custom_fact_extraction_prompt": """
+    Extract: goals, constraints, preferences, progress
+    Exclude: greetings, filler, casual chat
+    Return JSON with key "facts" as a list of strings.
+    """,
+}
+
+memory = Memory.from_config(MEMORY_CONFIG)
+```
+  </Tab>
+</Tabs>
 
 **Week 1 - Store goals and preferences:**
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 mem0_client.add([
     {"role": "user", "content": "I want to run a sub-4 marathon"},
@@ -346,11 +652,33 @@ mem0_client.add([
 mem0_client.add([
     {"role": "user", "content": "I prefer trail running over roads"}
 ], user_id="max", categories=["preferences"])
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+memory.add(
+    [
+        {"role": "user", "content": "I want to run a sub-4 marathon"},
+        {"role": "assistant", "content": "Got it. Let's build a training plan."},
+    ],
+    user_id="max",
+    agent_id="ray",
+    metadata={"memory_bucket": "goals"},
+)
+
+memory.add(
+    [{"role": "user", "content": "I prefer trail running over roads"}],
+    user_id="max",
+    metadata={"memory_bucket": "preferences"},
+)
+```
+  </Tab>
+</Tabs>
 
 **Week 3 - Temporary injury with expiration:**
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 expiration = (datetime.now() + timedelta(days=14)).strftime("%Y-%m-%d")
 mem0_client.add(
@@ -359,16 +687,36 @@ mem0_client.add(
     categories=["constraints"],
     expiration_date=expiration
 )
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+expiration = (datetime.now() + timedelta(days=14)).strftime("%Y-%m-%d")
+memory.add(
+    [{"role": "user", "content": "Rolled ankle, need light workouts"}],
+    user_id="max",
+    metadata={"memory_bucket": "constraints", "expires_on": expiration},
+)
+```
+  </Tab>
+</Tabs>
 
 **Retrieve for context:**
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 memories = mem0_client.search("training plan", user_id="max", limit=5)
 # Gets: marathon goal, trail preference, ankle injury (if still valid)
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+memories = memory.search("training plan", user_id="max", limit=5)
+# Gets: marathon goal, trail preference, ankle injury (if still valid / not pruned)
+```
+  </Tab>
+</Tabs>
 
 Ray remembers goals, preferences, and personality. Handles temporary injuries. Works across sessions.
 
@@ -380,6 +728,8 @@ Ray remembers goals, preferences, and personality. Handles temporary injuries. W
 
 Training for Boston is different from training for New York. Separate the memory threads:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 mem0_client.add(messages, user_id="max", run_id="boston-2025")
 mem0_client.add(messages, user_id="max", run_id="nyc-2025")
@@ -390,8 +740,22 @@ boston_memories = mem0_client.search(
     user_id="max",
     run_id="boston-2025"
 )
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+memory.add(messages, user_id="max", run_id="boston-2025")
+memory.add(messages, user_id="max", run_id="nyc-2025")
+
+# Retrieve only Boston memories
+boston_memories = memory.search(
+    "training plan",
+    user_id="max",
+    run_id="boston-2025",
+)
+```
+  </Tab>
+</Tabs>
 
 Each race gets its own episodic boundary. No cross-contamination.
 
@@ -399,6 +763,8 @@ Each race gets its own episodic boundary. No cross-contamination.
 
 Max has 6 months of training logs to backfill:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 old_logs = [
     [{"role": "user", "content": "Completed 20-mile long run"}],
@@ -407,13 +773,27 @@ old_logs = [
 
 for log in old_logs:
     mem0_client.add(log, user_id="max")
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+old_logs = [
+    [{"role": "user", "content": "Completed 20-mile long run"}],
+    [{"role": "user", "content": "Hit 8:00 pace on tempo run"}],
+]
+
+for log in old_logs:
+    memory.add(log, user_id="max")
+```
+  </Tab>
+</Tabs>
 
 ### Handling Contradictions
 
 Max changes his goal from sub-4 to sub-3:45:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 # Find the old memory
 memories = mem0_client.get_all(filters={"AND": [{"user_id": "max"}]})
@@ -421,8 +801,19 @@ goal_memory = [m for m in memories["results"] if "sub-4" in m["memory"]][0]
 
 # Update it
 mem0_client.update(goal_memory["id"], "Max wants to run sub-3:45 marathon")
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+# Find the old memory
+memories = memory.get_all(user_id="max")
+goal_memory = [m for m in memories["results"] if "sub-4" in m["memory"]][0]
+
+# Update it
+memory.update(goal_memory["id"], "Max wants to run sub-3:45 marathon")
+```
+  </Tab>
+</Tabs>
 
 Update instead of creating duplicates.
 
@@ -430,11 +821,20 @@ Update instead of creating duplicates.
 
 Max works with Ray for running and Jordan for strength training:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 chat("easy run today", user_id="max", agent_id="ray")
 chat("leg day workout", user_id="max", agent_id="jordan")
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+chat("easy run today", user_id="max", agent_id="ray")
+chat("leg day workout", user_id="max", agent_id="jordan")
+```
+  </Tab>
+</Tabs>
 
 Each coach maintains separate personality memory while sharing user context.
 
@@ -442,19 +842,44 @@ Each coach maintains separate personality memory while sharing user context.
 
 Prioritize recent training over old data:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 recent = mem0_client.search(
     "training progress",
     user_id="max",
     filters={"created_at": {"gte": "2025-10-01"}}
 )
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+# Qdrant range filters require numbers — store an epoch timestamp in metadata
+from datetime import datetime
+
+epoch = int(datetime(2025, 10, 15).timestamp())
+memory.add(
+    [{"role": "user", "content": "Completed 18-mile long run"}],
+    user_id="max",
+    metadata={"logged_epoch": epoch},
+)
+
+cutoff = int(datetime(2025, 10, 1).timestamp())
+recent = memory.search(
+    "training progress",
+    user_id="max",
+    filters={"logged_epoch": {"gte": cutoff}},
+)
+```
+  </Tab>
+</Tabs>
 
 ### Metadata Tagging
 
 Tag workouts by type:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 mem0_client.add(
     [{"role": "user", "content": "10x400m intervals"}],
@@ -468,20 +893,48 @@ speed_sessions = mem0_client.search(
     user_id="max",
     filters={"metadata": {"workout_type": "speed"}}
 )
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+memory.add(
+    [{"role": "user", "content": "10x400m intervals"}],
+    user_id="max",
+    metadata={"workout_type": "speed", "intensity": "high"},
+)
+
+# Later, find all speed workouts
+speed_sessions = memory.search(
+    "speed work",
+    user_id="max",
+    filters={"workout_type": "speed"},
+)
+```
+  </Tab>
+</Tabs>
 
 ### Pruning Old Memories
 
 Delete irrelevant memories:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 mem0_client.delete(memory_id="mem_xyz")
 
 # Or clear an entire run_id
 mem0_client.delete_all(user_id="max", run_id="old-training-cycle")
-
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+memory.delete(memory_id="mem_xyz")
+
+# Or clear an entire run_id
+memory.delete_all(user_id="max", run_id="old-training-cycle")
+```
+  </Tab>
+</Tabs>
 
 ---
 
@@ -515,7 +968,7 @@ Before launching:
 - Define 2-3 categories (goals, constraints, preferences)
 - Add expiration strategy for time-bound facts
 - Implement error handling for API calls
-- Monitor memory quality in Mem0 dashboard
+- Monitor memory quality (Mem0 dashboard or `get_all` / Qdrant when local)
 - Clear test data from production project
 
 ---

docs/cookbooks/operations/content-writing.mdx

@@ -16,6 +16,8 @@ Integrating Mem0 into your writing workflow helps you:
 
 ## Setup
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 import os
 from openai import OpenAI
@@ -32,13 +34,81 @@ openai = OpenAI()
 USER_ID = "content_writer"
 RUN_ID = "smart_editing_session"
 ```
+  </Tab>
+  <Tab title="Open Source">
+Here we use **Mem0 open source** (`Memory`): all local, no API keys needed for memory. Vectors in **Qdrant**, LLM and embeddings via **Ollama**. The **OpenAI** Python SDK calls Ollama's **OpenAI-compatible** `/v1` endpoint for content rewriting.
+
+### Installation
+
+Install the required dependencies:
+
+```bash
+pip install mem0ai qdrant-client openai ollama
+```
+
+Then start Qdrant and pull the Ollama models:
+
+```bash
+docker run -d -p 6333:6333 qdrant/qdrant
+ollama pull llama3.1:latest
+ollama pull nomic-embed-text:latest
+```
+
+<Note>You can swap `nomic-embed-text` for any Ollama-supported embedding model (e.g., `snowflake-arctic-embed`, `mxbai-embed-large`). Just update the `model` in the `embedder` config and set `embedding_model_dims` in the Qdrant config to match the model's output dimensions (768 for `nomic-embed-text`).</Note>
+
+```python
+from openai import OpenAI
+from mem0 import Memory
+
+OLLAMA_URL = "http://localhost:11434"
+CHAT_MODEL = "llama3.1:latest"
+
+# Set up Mem0 with local providers
+memory = Memory.from_config({
+    "vector_store": {
+        "provider": "qdrant",
+        "config": {
+            "collection_name": "content_writing",
+            "host": "localhost",
+            "port": 6333,
+            "embedding_model_dims": 768,
+        },
+    },
+    "llm": {
+        "provider": "ollama",
+        "config": {
+            "model": CHAT_MODEL,
+            "temperature": 0,
+            "max_tokens": 2000,
+            "ollama_base_url": OLLAMA_URL,
+        },
+    },
+    "embedder": {
+        "provider": "ollama",
+        "config": {
+            "model": "nomic-embed-text:latest",
+            "ollama_base_url": OLLAMA_URL,
+        },
+    },
+})
+
+# OpenAI SDK pointed at Ollama for content rewriting
+ollama_chat = OpenAI(base_url=f"{OLLAMA_URL}/v1", api_key="ollama")
+
+USER_ID = "content_writer"
+RUN_ID = "smart_editing_session"
+```
+  </Tab>
+</Tabs>
 
 ## Storing Your Writing Preferences in Mem0
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 def store_writing_preferences():
     """Store your writing preferences in Mem0."""
-    
+
     preferences = """My writing preferences:
 1. Use headings and sub-headings for structure.
 2. Keep paragraphs concise (8–10 sentences max).
@@ -61,9 +131,41 @@ def store_writing_preferences():
 
     return response
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+def store_writing_preferences():
+    """Store your writing preferences in Mem0."""
+
+    preferences = """My writing preferences:
+1. Use headings and sub-headings for structure.
+2. Keep paragraphs concise (8–10 sentences max).
+3. Incorporate specific numbers and statistics.
+4. Provide concrete examples.
+5. Use bullet points for clarity.
+6. Avoid jargon and buzzwords."""
+
+    messages = [
+        {"role": "user", "content": "Here are my writing style preferences."},
+        {"role": "assistant", "content": preferences},
+    ]
+
+    response = memory.add(
+        messages,
+        user_id=USER_ID,
+        run_id=RUN_ID,
+        metadata={"type": "preferences", "category": "writing_style"},
+    )
+
+    return response
+```
+  </Tab>
+</Tabs>
 
 ## Editing Content Using Stored Preferences
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 def apply_writing_style(original_content):
     """Use preferences stored in Mem0 to guide content rewriting."""
@@ -107,29 +209,73 @@ Preferences:
 
     return clean_response
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+def apply_writing_style(original_content):
+    """Use preferences stored in Mem0 to guide content rewriting."""
+
+    results = memory.search(
+        query="What are my writing style preferences?",
+        user_id=USER_ID,
+        run_id=RUN_ID,
+    )
+
+    if not results:
+        print("No preferences found.")
+        return None
+
+    preferences = "\n".join(r["memory"] for r in results.get("results", []))
+
+    system_prompt = f"""
+You are a writing assistant.
+
+Apply the following writing style preferences to improve the user's content:
+
+Preferences:
+{preferences}
+"""
+
+    messages = [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": f"""Original Content:
+    {original_content}"""},
+    ]
+
+    # Ollama via OpenAI-compatible API
+    response = ollama_chat.chat.completions.create(
+        model=CHAT_MODEL,
+        messages=messages,
+    )
+    clean_response = response.choices[0].message.content.strip()
+
+    return clean_response
+```
+  </Tab>
+</Tabs>
 
 ## Complete Workflow: Content Editing
 
 ```python
 def content_writing_workflow(content):
     """Automated workflow for editing a document based on writing preferences."""
-    
+
     # Store writing preferences (if not already stored)
     store_writing_preferences()  # Ideally done once, or with a conditional check
-    
+
     # Edit the document with Mem0 preferences
     edited_content = apply_writing_style(content)
-    
+
     if not edited_content:
         return "Failed to edit document."
-    
+
     # Display results
     print("\n=== ORIGINAL DOCUMENT ===\n")
     print(content)
-    
+
     print("\n=== EDITED DOCUMENT ===\n")
     print(edited_content)
-    
+
     return edited_content
 ```
 
@@ -138,8 +284,8 @@ def content_writing_workflow(content):
 ```python
 # Define your document
 original_content = """Project Proposal
-    
+
-The following proposal outlines our strategy for the Q3 marketing campaign. 
+The following proposal outlines our strategy for the Q3 marketing campaign.
 We believe this approach will significantly increase our market share.
 
 Increase brand awareness
@@ -160,8 +306,8 @@ Your document will be transformed into a structured, well-formatted version base
 ### Original Document
 ```
 Project Proposal
-    
+
-The following proposal outlines our strategy for the Q3 marketing campaign. 
+The following proposal outlines our strategy for the Q3 marketing campaign.
 We believe this approach will significantly increase our market share.
 
 Increase brand awareness
@@ -204,7 +350,7 @@ This proposal outlines our strategy for the Q3 marketing campaign. We aim to sig
 
 ### Conclusion
 
-We believe this strategy will effectively increase our market share. To achieve these goals, we need your support and collaboration. Let’s work together to make this campaign a success. Please review the proposal and provide your feedback by the end of the week.
+We believe this strategy will effectively increase our market share. To achieve these goals, we need your support and collaboration. Let's work together to make this campaign a success. Please review the proposal and provide your feedback by the end of the week.
 ```
 
 Mem0 enables a seamless, intelligent content-writing workflow, perfect for content creators, marketers, and technical writers looking to scale their personal tone and structure across work.

docs/cookbooks/operations/email-automation.mdx

@@ -18,11 +18,36 @@ Email overload is a common challenge for many professionals. By leveraging Mem0'
 
 ## Setup
 
+<Tabs>
+  <Tab title="Platform">
 Before you begin, ensure you have the required dependencies installed:
 
 ```bash
 pip install mem0ai openai
 ```
+  </Tab>
+  <Tab title="Open Source">
+Here we use **Mem0 open source** (`Memory`): all local, no API keys needed for memory. Vectors in **Qdrant**, LLM and embeddings via **Ollama**.
+
+### Installation
+
+Install the required dependencies:
+
+```bash
+pip install mem0ai qdrant-client openai ollama
+```
+
+Then start Qdrant and pull the Ollama models:
+
+```bash
+docker run -d -p 6333:6333 qdrant/qdrant
+ollama pull llama3.1:latest
+ollama pull nomic-embed-text:latest
+```
+
+<Note>You can swap `nomic-embed-text` for any Ollama-supported embedding model (e.g., `snowflake-arctic-embed`, `mxbai-embed-large`). Just update the `model` in the `embedder` config and set `embedding_model_dims` in the Qdrant config to match the model's output dimensions (768 for `nomic-embed-text`).</Note>
+  </Tab>
+</Tabs>
 
 ## Implementation
 
@@ -30,6 +55,8 @@ pip install mem0ai openai
 
 The following example shows how to create a basic email processing system with Mem0:
 
+<Tabs>
+  <Tab title="Platform">
 ```python
 import os
 from mem0 import MemoryClient
@@ -45,11 +72,11 @@ class EmailProcessor:
     def __init__(self):
         """Initialize the Email Processor with Mem0 memory client"""
         self.client = client
-        
+
     def process_email(self, email_content, user_id):
         """
         Process an email and store it in Mem0 memory
-        
+
         Args:
             email_content (str): Raw email content
             user_id (str): User identifier for memory association
@@ -57,20 +84,20 @@ class EmailProcessor:
         # Parse email
         parser = Parser()
         email = parser.parsestr(email_content)
-        
+
         # Extract email details
         sender = email['from']
         recipient = email['to']
         subject = email['subject']
         date = email['date']
         body = self._get_email_body(email)
-        
+
         # Create message object for Mem0
         message = {
             "role": "user",
             "content": f"Email from {sender}: {subject}\n\n{body}"
         }
-        
+
         # Create metadata for better retrieval
         metadata = {
             "email_type": "incoming",
@@ -79,18 +106,18 @@ class EmailProcessor:
             "subject": subject,
             "date": date
         }
-        
+
         # Store in Mem0 with appropriate categories
         response = self.client.add(
             messages=[message],
             user_id=user_id,
             metadata=metadata,
             categories=["email", "correspondence"],
-            
+
         )
-        
+
         return response
-    
+
     def _get_email_body(self, email):
         """Extract the body content from an email"""
         # Simplified extraction - in real-world, handle multipart emails
@@ -100,7 +127,7 @@ class EmailProcessor:
                     return part.get_payload(decode=True).decode()
         else:
             return email.get_payload(decode=True).decode()
-    
+
     def search_emails(self, query, user_id, sender=None):
         """
         Search through stored emails
@@ -132,7 +159,7 @@ class EmailProcessor:
             results = self.client.search(query=query, filters=filters)
 
         return results
-        
+
     def get_email_thread(self, subject, user_id):
         """
         Retrieve all emails in a thread based on subject
@@ -182,6 +209,208 @@ processor.process_email(sample_email, user_id)
 meeting_emails = processor.search_emails("meeting schedule", user_id)
 print(f"Found {len(meeting_emails['results'])} relevant emails")
 ```
+  </Tab>
+  <Tab title="Open Source">
+```python
+from mem0 import Memory
+from email.parser import Parser
+
+OLLAMA_URL = "http://localhost:11434"
+
+# Set up Mem0 with local providers
+memory = Memory.from_config({
+    "vector_store": {
+        "provider": "qdrant",
+        "config": {
+            "collection_name": "email_intelligence",
+            "host": "localhost",
+            "port": 6333,
+            "embedding_model_dims": 768,
+        },
+    },
+    "llm": {
+        "provider": "ollama",
+        "config": {
+            "model": "llama3.1:latest",
+            "temperature": 0,
+            "max_tokens": 2000,
+            "ollama_base_url": OLLAMA_URL,
+        },
+    },
+    "embedder": {
+        "provider": "ollama",
+        "config": {
+            "model": "nomic-embed-text:latest",
+            "ollama_base_url": OLLAMA_URL,
+        },
+    },
+})
+
+class EmailProcessor:
+    def __init__(self):
+        """Initialize the Email Processor with Mem0 memory"""
+        self.memory = memory
+
+    def process_email(self, email_content, user_id):
+        """
+        Process an email and store it in Mem0 memory
+
+        Args:
+            email_content (str): Raw email content
+            user_id (str): User identifier for memory association
+        """
+        # Parse email
+        parser = Parser()
+        email = parser.parsestr(email_content)
+
+        # Extract email details
+        sender = email["from"]
+        recipient = email["to"]
+        subject = email["subject"]
+        date = email["date"]
+        body = self._get_email_body(email)
+
+        # Create message object for Mem0
+        message = {
+            "role": "user",
+            "content": f"Email from {sender}: {subject}\n\n{body}",
+        }
+
+        # Create metadata for better retrieval
+        # In OSS, categories are modeled as metadata fields
+        metadata = {
+            "email_type": "incoming",
+            "memory_category": "email",
+            "sender": sender,
+            "recipient": recipient,
+            "subject": subject,
+            "date": date,
+        }
+
+        # Store in Mem0
+        response = self.memory.add(
+            message,
+            user_id=user_id,
+            metadata=metadata,
+        )
+
+        return response
+
+    def _get_email_body(self, email):
+        """Extract the body content from an email"""
+        if email.is_multipart():
+            for part in email.walk():
+                if part.get_content_type() == "text/plain":
+                    return part.get_payload(decode=True).decode()
+        else:
+            return email.get_payload(decode=True).decode()
+
+    def search_emails(self, query, user_id, sender=None):
+        """
+        Search through stored emails
+
+        Args:
+            query (str): Search query
+            user_id (str): User identifier
+            sender (str, optional): Filter by sender email address
+        """
+        # In OSS, user_id is an explicit parameter (not inside filters)
+        if not sender:
+            results = self.memory.search(
+                query=query,
+                user_id=user_id,
+                filters={"memory_category": "email"},
+            )
+        else:
+            results = self.memory.search(
+                query=query,
+                user_id=user_id,
+                filters={
+                    "AND": [
+                        {"memory_category": "email"},
+                        {"sender": sender},
+                    ]
+                },
+            )
+
+        return results
+
+    def get_email_thread(self, subject, user_id):
+        """
+        Retrieve all emails in a thread based on subject
+
+        Args:
+            subject (str): Email subject to match
+            user_id (str): User identifier
+        """
+        # In OSS, user_id is an explicit parameter
+        thread = self.memory.get_all(
+            user_id=user_id,
+            filters={
+                "AND": [
+                    {"memory_category": "email"},
+                    {"subject": {"icontains": subject}},
+                ]
+            },
+        )
+
+        return thread
+
+# Initialize the processor
+processor = EmailProcessor()
+
+# Example raw email
+sample_email = """From: alice@example.com
+To: bob@example.com
+Subject: Meeting Schedule Update
+Date: Mon, 15 Jul 2024 14:22:05 -0700
+
+Hi Bob,
+
+I wanted to update you on the schedule for our upcoming project meeting.
+We'll be meeting this Thursday at 2pm instead of Friday.
+
+Could you please prepare your section of the presentation?
+
+Thanks,
+Alice
+"""
+
+# Process and store the email
+user_id = "bob@example.com"
+processor.process_email(sample_email, user_id)
+
+# Later, search for emails about meetings
+meeting_emails = processor.search_emails("meeting schedule", user_id)
+print(f"Found {len(meeting_emails['results'])} relevant emails")
+```
+
+<Note>
+**Categories vs Metadata:** The Platform version uses `categories=["email"]` which are AI-assigned by Mem0. In open source, categories are modeled as `metadata` fields (e.g., `memory_category`) that you set on each `add` call and filter on during search.
+</Note>
+  </Tab>
+</Tabs>
+
+### Fetching Memories
+
+You can fetch all the memories at any point in time using the following code:
+
+<Tabs>
+  <Tab title="Platform">
+```python
+meeting_emails = processor.search_emails("meeting schedule", user_id)
+for m in meeting_emails['results']:
+    print(m['memory'])
+```
+  </Tab>
+  <Tab title="Open Source">
+```python
+meeting_emails = processor.search_emails("meeting schedule", user_id)
+for m in meeting_emails["results"]:
+    print(m["memory"])
+```
+  </Tab>
+</Tabs>
 
 ## Key Features and Benefits
 

docs/docs.json

@@ -4,9 +4,9 @@
   "description": "Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users.",
   "theme": "aspen",
   "colors": {
-    "primary": "#9C58FA",
+    "primary": "#8F74E0",
-    "light": "#9C58FA",
+    "light": "#8F74E0",
-    "dark": "#9C58FA"
+    "dark": "#8F74E0"
   },
   "favicon": "/logo/favicon.png",
   "logo": {
@@ -42,6 +42,7 @@
                       "platform/overview",
                       "vibecoding",
                       "platform/mem0-mcp",
+                      "platform/cli",
                       "platform/platform-vs-oss",
                       "platform/quickstart"
                     ]
@@ -429,6 +430,20 @@
                   }
                 ]
               },
+              {
+                "tab": "Agent Plugins",
+                "groups": [
+                  {
+                    "group": "Coding Agents",
+                    "icon": "terminal",
+                    "pages": [
+                      "integrations/claude-code",
+                      "integrations/cursor",
+                      "integrations/codex"
+                    ]
+                  }
+                ]
+              },
               {
                 "tab": "API Reference",
                 "groups": [

docs/integrations.mdx

@@ -381,4 +381,25 @@ Here are the available integrations for Mem0:
   >
     Build AI agents with persistent memory using Mastra's framework and tools.
   </Card>
+  <Card
+    title="Claude Code"
+    icon="terminal"
+    href="/integrations/claude-code"
+  >
+    Add persistent memory to Claude Code and Cowork with MCP server, lifecycle hooks, and SDK skill.
+  </Card>
+  <Card
+    title="Cursor"
+    icon="i-cursor"
+    href="/integrations/cursor"
+  >
+    Add persistent memory to Cursor with MCP server, lifecycle hooks, and context-aware coding.
+  </Card>
+  <Card
+    title="Codex"
+    icon="robot"
+    href="/integrations/codex"
+  >
+    Add persistent memory to OpenAI Codex with MCP server and skill-based memory protocol.
+  </Card>
 </CardGroup>

docs/integrations/claude-code.mdx

@@ -0,0 +1,156 @@
+---
+title: Claude Code
+description: "Add persistent memory to Claude Code and Claude Cowork with the Mem0 plugin — MCP server, lifecycle hooks, and SDK skill."
+---
+
+Add persistent memory to [**Claude Code**](https://docs.anthropic.com/en/docs/claude-code) (CLI) and **Claude Cowork** (desktop app) with the Mem0 plugin. Your agent forgets everything between sessions — this plugin fixes that by connecting to Mem0's cloud memory layer via MCP, automatically capturing learnings at key lifecycle points, and retrieving relevant context before every response.
+
+## Overview
+
+1. **MCP Server** — Connect to Mem0's remote MCP server for memory tools (add, search, update, delete)
+2. **Lifecycle Hooks** — Automatic memory capture at session start, context compaction, task completion, and session end
+3. **SDK Skill** — Teaches the agent how to integrate the Mem0 SDK into your applications
+4. **Zero local dependencies** — Cloud-hosted MCP server, no local setup required
+
+## Prerequisites
+
+Before setting up Mem0 with Claude Code, ensure you have:
+
+1. A Mem0 Platform account and API key:
+   - [Sign up at app.mem0.ai](https://app.mem0.ai)
+   - [Get your API key](https://app.mem0.ai/dashboard/api-keys) (starts with `m0-`)
+
+2. Claude Code CLI or Claude Cowork desktop app installed
+
+3. Your API key exported in your shell:
+
+```bash
+export MEM0_API_KEY="m0-your-api-key"
+```
+
+## Installation
+
+### Option A — Plugin Marketplace (Recommended)
+
+Install the full plugin including MCP server, lifecycle hooks, and SDK skill:
+
+```
+/plugin marketplace add mem0ai/mem0
+/plugin install mem0@mem0-plugins
+```
+
+**Claude Cowork desktop app:** Open the Cowork tab, click **Customize** in the sidebar, click **Browse plugins**, and install Mem0.
+
+### Option B — MCP Only
+
+Add the Mem0 MCP server directly with a single command:
+
+```bash
+npx mcp-add \
+  --name mem0-mcp \
+  --type http \
+  --url "https://mcp.mem0.ai/mcp" \
+  --clients "claude code"
+```
+
+This gives you the MCP tools but not the lifecycle hooks or SDK skill.
+
+### Option C — Manual MCP Configuration
+
+Add to your Claude Code MCP config (`.mcp.json`):
+
+```json
+{
+  "mcpServers": {
+    "mem0": {
+      "type": "http",
+      "url": "https://mcp.mem0.ai/mcp/",
+      "headers": {
+        "Authorization": "Token ${MEM0_API_KEY}"
+      }
+    }
+  }
+}
+```
+
+<Info icon="check">
+  Start a new session and ask: *"List my mem0 entities"* or *"Search my memories for hello"*. If the `mem0` tools appear and respond, you're all set.
+</Info>
+
+## What's Included
+
+| Component | Plugin Install | MCP Only |
+|-----------|:--------------:|:--------:|
+| MCP Server (9 memory tools) | Yes | Yes |
+| Lifecycle Hooks | Yes | No |
+| Mem0 SDK Skill | Yes | No |
+
+## Available MCP Tools
+
+Once installed, the following tools are available in every Claude Code session:
+
+| Tool | Description |
+|------|-------------|
+| `add_memory` | Save text or conversation history for a user/agent |
+| `search_memories` | Semantic search across memories with filters |
+| `get_memories` | List memories with filters and pagination |
+| `get_memory` | Retrieve a specific memory by ID |
+| `update_memory` | Overwrite a memory's text by ID |
+| `delete_memory` | Delete a single memory by ID |
+| `delete_all_memories` | Bulk delete all memories in scope |
+| `delete_entities` | Delete a user/agent/app/run entity and its memories |
+| `list_entities` | List users/agents/apps/runs stored in Mem0 |
+
+## Lifecycle Hooks
+
+When installed via the plugin marketplace, Mem0 hooks into Claude Code's lifecycle to automatically manage memory:
+
+### Session Start
+On every new session, the plugin prompts Claude to call `search_memories` to load relevant context from prior sessions. On resumed or post-compaction sessions, it adjusts the prompt accordingly.
+
+### User Prompt
+Before processing each user message, the plugin searches Mem0 for memories relevant to the current prompt and injects them into context. Short prompts (< 20 characters) are skipped to minimize latency.
+
+### Pre-Compaction
+Before context compaction, the plugin prompts Claude to store a comprehensive session summary — including goals, accomplishments, decisions, modified files, and current state — so nothing is lost.
+
+### Task Completed
+After each task completion, the plugin prompts Claude to extract and store key learnings: successful strategies, failed approaches, architectural decisions, and new conventions.
+
+### Session End
+When Claude finishes responding, the plugin prompts for any unstored learnings and captures transcript state via the Mem0 REST API as a background safety net.
+
+## Example Workflow
+
+```text
+# Session 1: Working on a feature
+You: Let's refactor the auth module to use JWT tokens instead of sessions.
+
+# Claude searches memories, finds nothing relevant, proceeds with the work.
+# After completing the task, Mem0 stores:
+#   - Decision: "Migrated auth from sessions to JWT tokens"
+#   - Files modified: auth/middleware.ts, auth/token.ts
+#   - User preference: "Prefers TypeScript, uses ESLint"
+
+# Session 2 (days later): Related work
+You: Add refresh token rotation to the auth system.
+
+# Claude searches memories, retrieves the JWT migration context.
+# Knows the file structure, decisions made, and user preferences.
+# Continues seamlessly without re-explaining the codebase.
+```
+
+## Troubleshooting
+
+- **"Connection failed"** — Verify `MEM0_API_KEY` is set in your shell: `echo $MEM0_API_KEY`
+- **No tools appearing** — Restart your Claude Code session after installation
+- **Memories not being captured** — Ensure you installed via the plugin marketplace (Option A) for lifecycle hooks. MCP-only installs require manual memory operations.
+
+<CardGroup cols={2}>
+  <Card title="Mem0 MCP Setup" icon="puzzle-piece" href="/platform/mem0-mcp">
+    Detailed MCP configuration for all clients
+  </Card>
+  <Card title="Codex Integration" icon="robot" href="/integrations/codex">
+    Add Mem0 memory to OpenAI Codex workflows
+  </Card>
+</CardGroup>

docs/integrations/codex.mdx

@@ -0,0 +1,212 @@
+---
+title: Codex
+description: "Add persistent memory to OpenAI Codex with the Mem0 plugin — MCP server, memory protocol skill, and plugin marketplace support."
+---
+
+Add persistent memory to [**OpenAI Codex**](https://openai.com/index/codex/) with the Mem0 plugin. Codex forgets everything between tasks — this plugin fixes that by connecting to Mem0's cloud memory layer via MCP and using a skill-based memory protocol to automatically retrieve context and store learnings.
+
+## Overview
+
+1. **MCP Server** — Connect to Mem0's remote MCP server for memory tools (add, search, update, delete)
+2. **Memory Protocol Skill** — Instructs the agent to retrieve memories at task start, store learnings on completion, and capture session state before context loss
+3. **Plugin Marketplace** — Install via Codex's repo-level or personal plugin marketplace
+4. **Zero local dependencies** — Cloud-hosted MCP server, no local setup required
+
+## Prerequisites
+
+Before setting up Mem0 with Codex, ensure you have:
+
+1. A Mem0 Platform account and API key:
+   - [Sign up at app.mem0.ai](https://app.mem0.ai)
+   - [Get your API key](https://app.mem0.ai/dashboard/api-keys) (starts with `m0-`)
+
+2. OpenAI Codex access
+
+3. Your API key exported in your shell:
+
+```bash
+export MEM0_API_KEY="m0-your-api-key"
+```
+
+## Installation
+
+### Option A — Repo Marketplace (Recommended for Teams)
+
+Add a `.agents/plugins/marketplace.json` to your repository root:
+
+```json
+{
+  "name": "mem0-plugins",
+  "interface": {
+    "displayName": "Mem0 Plugins"
+  },
+  "plugins": [
+    {
+      "name": "mem0",
+      "source": {
+        "source": "local",
+        "path": "./plugins/mem0"
+      },
+      "policy": {
+        "installation": "AVAILABLE",
+        "authentication": "ON_INSTALL"
+      },
+      "category": "Productivity"
+    }
+  ]
+}
+```
+
+Then in Codex, browse the repo's plugin directory and install Mem0.
+
+### Option B — Personal Marketplace
+
+Add to `~/.agents/plugins/marketplace.json`:
+
+```json
+{
+  "name": "mem0-plugins",
+  "interface": {
+    "displayName": "Mem0 Plugins"
+  },
+  "plugins": [
+    {
+      "name": "mem0",
+      "source": {
+        "source": "local",
+        "path": "/path/to/mem0-plugin"
+      },
+      "policy": {
+        "installation": "AVAILABLE",
+        "authentication": "ON_INSTALL"
+      },
+      "category": "Productivity"
+    }
+  ]
+}
+```
+
+### Option C — Manual MCP Configuration
+
+Add to your Codex MCP config:
+
+```json
+{
+  "mcpServers": {
+    "mem0": {
+      "type": "http",
+      "url": "https://mcp.mem0.ai/mcp/",
+      "headers": {
+        "Authorization": "Token ${MEM0_API_KEY}"
+      }
+    }
+  }
+}
+```
+
+<Info icon="check">
+  Start a new Codex task and ask: *"List my mem0 entities"* or *"Search my memories for hello"*. If the `mem0` tools appear and respond, you're all set.
+</Info>
+
+## What's Included
+
+| Component | Plugin Install | MCP Only |
+|-----------|:--------------:|:--------:|
+| MCP Server (9 memory tools) | Yes | Yes |
+| Memory Protocol Skill | Yes | No |
+| Mem0 SDK Skill | Yes | No |
+
+## Available MCP Tools
+
+Once installed, the following tools are available in every Codex session:
+
+| Tool | Description |
+|------|-------------|
+| `add_memory` | Save text or conversation history for a user/agent |
+| `search_memories` | Semantic search across memories with filters |
+| `get_memories` | List memories with filters and pagination |
+| `get_memory` | Retrieve a specific memory by ID |
+| `update_memory` | Overwrite a memory's text by ID |
+| `delete_memory` | Delete a single memory by ID |
+| `delete_all_memories` | Bulk delete all memories in scope |
+| `delete_entities` | Delete a user/agent/app/run entity and its memories |
+| `list_entities` | List users/agents/apps/runs stored in Mem0 |
+
+## Memory Protocol Skill
+
+Codex uses a skill-based approach instead of lifecycle hooks. When installed via the plugin marketplace, the memory protocol skill instructs the agent to:
+
+### On Every New Task
+1. Call `search_memories` with a query related to the current task to load relevant context
+2. Review returned memories to understand what was learned in prior sessions
+3. Optionally call `get_memories` to browse all stored memories
+
+### After Completing Significant Work
+Store key learnings using `add_memory` with structured metadata:
+
+| What to store | Metadata type |
+|--------------|---------------|
+| Architectural decisions | `{"type": "decision"}` |
+| Strategies that worked | `{"type": "task_learning"}` |
+| Failed approaches | `{"type": "anti_pattern"}` |
+| User preferences observed | `{"type": "user_preference"}` |
+| Environment discoveries | `{"type": "environmental"}` |
+| Conventions established | `{"type": "convention"}` |
+
+### Before Losing Context
+Store a comprehensive session summary including goals, accomplishments, decisions, files modified, and current state with metadata `{"type": "session_state"}`.
+
+## Plugin Manifest
+
+The Codex plugin manifest (`.codex-plugin/plugin.json`) follows the Codex plugin specification:
+
+```json
+{
+  "name": "mem0",
+  "version": "0.1.0",
+  "description": "Mem0 memory layer for AI applications.",
+  "skills": "./skills/",
+  "mcpServers": "./.codex-mcp.json",
+  "interface": {
+    "displayName": "Mem0",
+    "shortDescription": "Persistent memory layer for AI coding workflows",
+    "category": "Productivity",
+    "capabilities": ["Read", "Write"]
+  }
+}
+```
+
+## Example Workflow
+
+```text
+# Task 1: Setting up a new service
+You: Create a REST API for the notifications service using Express and TypeScript.
+
+# Codex searches memories, finds user preferences from prior tasks.
+# After completing the task, Mem0 stores:
+#   - Decision: "Notifications service uses Express + TypeScript + Zod validation"
+#   - Convention: "All API routes follow /api/v1/{resource} pattern"
+#   - Preference: "User prefers explicit error types over generic catch-all"
+
+# Task 2 (days later): Extending the service
+You: Add WebSocket support for real-time notification delivery.
+
+# Codex searches memories, retrieves the architecture decisions and conventions.
+# Follows the same patterns established in the first task.
+```
+
+## Troubleshooting
+
+- **"Connection failed"** — Verify `MEM0_API_KEY` is set in your shell: `echo $MEM0_API_KEY`
+- **No tools appearing** — Restart your Codex session after plugin installation
+- **Plugin not found** — Ensure `.agents/plugins/marketplace.json` is at the repository root and `source.path` points to the correct plugin directory
+- **Skills not loading** — Verify the `skills` field in `plugin.json` points to a valid directory containing `SKILL.md` files
+
+<CardGroup cols={2}>
+  <Card title="Mem0 MCP Setup" icon="puzzle-piece" href="/platform/mem0-mcp">
+    Detailed MCP configuration for all clients
+  </Card>
+  <Card title="Claude Code Integration" icon="terminal" href="/integrations/claude-code">
+    Add Mem0 memory to Claude Code workflows
+  </Card>
+</CardGroup>

docs/integrations/cursor.mdx

@@ -0,0 +1,148 @@
+---
+title: Cursor
+description: "Add persistent memory to Cursor with the Mem0 plugin — MCP server, lifecycle hooks, and SDK skill for context-aware coding."
+---
+
+Add persistent memory to [**Cursor**](https://cursor.com) with the Mem0 plugin. Your AI assistant forgets everything between sessions — this plugin fixes that by connecting to Mem0's cloud memory layer via MCP, automatically capturing learnings at key lifecycle points, and retrieving relevant context before every response.
+
+## Overview
+
+1. **MCP Server** — Connect to Mem0's remote MCP server for memory tools (add, search, update, delete)
+2. **Lifecycle Hooks** — Automatic memory capture at session start, compaction, and user prompts (Marketplace install)
+3. **SDK Skill** — Teaches the agent how to integrate the Mem0 SDK into your applications
+4. **Zero local dependencies** — Cloud-hosted MCP server, no local setup required
+
+## Prerequisites
+
+Before setting up Mem0 with Cursor, ensure you have:
+
+1. A Mem0 Platform account and API key:
+   - [Sign up at app.mem0.ai](https://app.mem0.ai)
+   - [Get your API key](https://app.mem0.ai/dashboard/api-keys) (starts with `m0-`)
+
+2. Cursor installed ([cursor.com](https://cursor.com))
+
+3. Your API key exported in your shell:
+
+```bash
+export MEM0_API_KEY="m0-your-api-key"
+```
+
+<Warning>
+  Already have `mem0` configured as an MCP server in Cursor? Remove the existing entry from your Cursor MCP settings before installing to avoid duplicate tools.
+</Warning>
+
+## Installation
+
+### Option A — One-Click Deeplink (MCP Only)
+
+The fastest way to get started. Click the link below to install the Mem0 MCP server directly in Cursor:
+
+[Install Mem0 MCP in Cursor](cursor://anysphere.cursor-deeplink/mcp/install?name=mem0&config=eyJtY3BTZXJ2ZXJzIjp7Im1lbTAiOnsidXJsIjoiaHR0cHM6Ly9tY3AubWVtMC5haS9tY3AvIiwiaGVhZGVycyI6eyJBdXRob3JpemF0aW9uIjoiVG9rZW4gJHtlbnY6TUVNMF9BUElfS0VZfSJ9fX19)
+
+### Option B — npx (MCP Only)
+
+```bash
+npx mcp-add \
+  --name mem0-mcp \
+  --type http \
+  --url "https://mcp.mem0.ai/mcp" \
+  --clients "cursor"
+```
+
+### Option C — Manual Configuration (MCP Only)
+
+Add the following to your `.cursor/mcp.json`:
+
+```json
+{
+  "mcpServers": {
+    "mem0": {
+      "url": "https://mcp.mem0.ai/mcp/",
+      "headers": {
+        "Authorization": "Token ${env:MEM0_API_KEY}"
+      }
+    }
+  }
+}
+```
+
+### Option D — Cursor Marketplace (Full Plugin)
+
+Install from the [Cursor Marketplace](https://cursor.com/marketplace) for the complete experience including lifecycle hooks, the Mem0 SDK skill, and automatic memory capture.
+
+<Info icon="check">
+  Start a new Cursor session and ask: *"List my mem0 entities"* or *"Search my memories for hello"*. If the `mem0` tools appear and respond, you're all set.
+</Info>
+
+## What's Included
+
+| Component | Marketplace Install | Deeplink / Manual / npx |
+|-----------|:-------------------:|:-----------------------:|
+| MCP Server (9 memory tools) | Yes | Yes |
+| Lifecycle Hooks | Yes | No |
+| Mem0 SDK Skill | Yes | No |
+
+## Available MCP Tools
+
+Once installed, the following tools are available in every Cursor session:
+
+| Tool | Description |
+|------|-------------|
+| `add_memory` | Save text or conversation history for a user/agent |
+| `search_memories` | Semantic search across memories with filters |
+| `get_memories` | List memories with filters and pagination |
+| `get_memory` | Retrieve a specific memory by ID |
+| `update_memory` | Overwrite a memory's text by ID |
+| `delete_memory` | Delete a single memory by ID |
+| `delete_all_memories` | Bulk delete all memories in scope |
+| `delete_entities` | Delete a user/agent/app/run entity and its memories |
+| `list_entities` | List users/agents/apps/runs stored in Mem0 |
+
+## Lifecycle Hooks (Marketplace Install)
+
+When installed via the Cursor Marketplace, Mem0 hooks into Cursor's lifecycle:
+
+### Session Start
+On every new session, the plugin prompts the agent to call `search_memories` to load relevant context from prior sessions.
+
+### User Prompt
+Before processing each user message, the plugin searches Mem0 for relevant memories and injects them into context. Short prompts are skipped to minimize latency.
+
+### Pre-Compaction
+Before context compaction, the plugin captures a comprehensive session summary so nothing is lost when the context window resets.
+
+## Example Workflow
+
+```text
+# Session 1: Debugging a performance issue
+You: The API endpoint /users is taking 3 seconds. Help me optimize it.
+
+# Cursor agent searches memories, proceeds with investigation.
+# After completing the task, Mem0 stores:
+#   - Learning: "N+1 query in UserService.getAll() — fixed with eager loading"
+#   - Decision: "Added database index on users.email column"
+#   - Preference: "User prefers query-level fixes over caching"
+
+# Session 2 (next week): Similar issue
+You: The /orders endpoint is also slow, same pattern as before.
+
+# Agent searches memories, retrieves the optimization learnings.
+# Immediately checks for N+1 queries and missing indexes.
+```
+
+## Troubleshooting
+
+- **"Connection failed"** — Verify `MEM0_API_KEY` is set: `echo $MEM0_API_KEY`
+- **Duplicate tools** — If you had a previous MCP config for `mem0`, remove it before installing the plugin
+- **No tools appearing** — Go to Cursor Settings > MCP and verify the `mem0` server shows as connected
+- **Hooks not running** — Hooks require the Marketplace install (Option D). Deeplink/manual installs only provide MCP tools.
+
+<CardGroup cols={2}>
+  <Card title="Mem0 MCP Setup" icon="puzzle-piece" href="/platform/mem0-mcp">
+    Detailed MCP configuration for all clients
+  </Card>
+  <Card title="Claude Code Integration" icon="terminal" href="/integrations/claude-code">
+    Add Mem0 memory to Claude Code workflows
+  </Card>
+</CardGroup>

docs/introduction.mdx

@@ -4,16 +4,16 @@ description: "Mem0 is a universal, self-improving memory layer for LLM applicati
 mode: "custom"
 ---
 
-{/* debug: welcome-layout-v2 */}
+{/* debug: welcome-layout-v3-grid */}
 
-<div className="px-4 pt-16 pb-12 lg:pt-20 max-w-4xl mx-auto text-center space-y-6">
+<div className="px-4 pt-8 pb-4 lg:pt-10 max-w-4xl mx-auto text-center space-y-3">
-  <h1 className="text-3xl lg:text-4xl font-bold text-gray-900 dark:text-zinc-50 tracking-tight mb-3">
+  <h1 className="text-3xl lg:text-4xl font-bold text-gray-900 dark:text-zinc-50 tracking-tight mb-2">
-    Build with <span className="text-primary">mem0</span>
+    Build with <span className="text-primary">Mem0</span>
   </h1>
 
-<p className="max-w-2xl mx-auto text-base text-gray-600 dark:text-zinc-400 leading-relaxed">
+  <p className="max-w-2xl mx-auto text-base text-gray-600 dark:text-zinc-400 leading-relaxed">
-  Universal, Self-improving memory layer for LLM applications.
+    Universal, Self-improving memory layer for LLM applications.
-</p>
+  </p>
 
   <a
     href="/platform/quickstart"
@@ -24,31 +24,25 @@ mode: "custom"
   </a>
 </div>
 
-<section className="px-4 max-w-6xl mx-auto space-y-4">
+<section className="px-4 pt-4 pb-6 max-w-6xl mx-auto">
-  <div className="text-center">
+  <div className="grid gap-4 sm:grid-cols-2 lg:grid-cols-3">
-    <h2 className="text-xl font-semibold text-gray-900 dark:text-zinc-100">
-      Mem0 Products
-    </h2>
-  </div>
-
-  <div className="grid gap-6 sm:grid-cols-2">
     <a
       href="/platform/overview"
       className="group flex h-full flex-col overflow-hidden rounded-2xl border border-gray-200 dark:border-zinc-800/40 bg-white dark:bg-zinc-900/40 transition hover:border-primary/60 hover:bg-gray-50 dark:hover:bg-zinc-900"
     >
       <img
-        className="block dark:hidden aspect-[4/3] w-full object-cover"
+        className="block dark:hidden aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/light/mem0_platform.png"
         alt="Mem0 Platform thumbnail"
         style={{pointerEvents: "none"}}
       />
       <img
-        className="hidden dark:block aspect-[4/3] w-full object-cover"
+        className="hidden dark:block aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/dark/mem0_platform.png"
         alt="Mem0 Platform thumbnail"
         style={{pointerEvents: "none"}}
       />
-      <div className="flex flex-1 flex-col gap-3 px-5 pb-6 pt-5 text-left">
+      <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
           Mem0 Platform
         </h3>
@@ -63,18 +57,18 @@ mode: "custom"
       className="group flex h-full flex-col overflow-hidden rounded-2xl border border-gray-200 dark:border-zinc-800/40 bg-white dark:bg-zinc-900/40 transition hover:border-primary/60 hover:bg-gray-50 dark:hover:bg-zinc-900"
     >
       <img
-        className="block dark:hidden aspect-[4/3] w-full object-cover"
+        className="block dark:hidden aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/light/mem0_open_source.png"
         alt="Mem0 Open Source thumbnail"
         style={{pointerEvents: "none"}}
       />
       <img
-        className="hidden dark:block aspect-[4/3] w-full object-cover"
+        className="hidden dark:block aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/dark/mem0_open_source.png"
         alt="Mem0 Open Source thumbnail"
         style={{pointerEvents: "none"}}
       />
-      <div className="flex flex-1 flex-col gap-3 px-5 pb-6 pt-5 text-left">
+      <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
           Mem0 Open Source
         </h3>
@@ -84,34 +78,23 @@ mode: "custom"
       </div>
     </a>
 
-  </div>
-</section>
-
-<section className="px-4 pt-12 pb-20 max-w-6xl mx-auto space-y-4">
-  <div className="text-center">
-    <h2 className="text-xl font-semibold text-gray-900 dark:text-zinc-100">
-      Developer Resources
-    </h2>
-  </div>
-
-  <div className="grid gap-6 sm:grid-cols-2 lg:grid-cols-3">
     <a
       href="/cookbooks/overview"
       className="group flex h-full flex-col overflow-hidden rounded-2xl border border-gray-200 dark:border-zinc-800/40 bg-white dark:bg-zinc-900/40 transition hover:border-primary/60 hover:bg-gray-50 dark:hover:bg-zinc-900"
     >
       <img
-        className="block dark:hidden aspect-[4/3] w-full object-cover"
+        className="block dark:hidden aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/light/Cookbooks.png"
         alt="Cookbooks thumbnail"
         style={{pointerEvents: "none"}}
       />
       <img
-        className="hidden dark:block aspect-[4/3] w-full object-cover"
+        className="hidden dark:block aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/dark/Cookbooks.png"
         alt="Cookbooks thumbnail"
         style={{pointerEvents: "none"}}
       />
-      <div className="flex flex-1 flex-col gap-3 px-5 pb-6 pt-5 text-left">
+      <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
           Cookbooks
         </h3>
@@ -126,18 +109,18 @@ mode: "custom"
       className="group flex h-full flex-col overflow-hidden rounded-2xl border border-gray-200 dark:border-zinc-800/40 bg-white dark:bg-zinc-900/40 transition hover:border-primary/60 hover:bg-gray-50 dark:hover:bg-zinc-900"
     >
       <img
-        className="block dark:hidden aspect-[4/3] w-full object-cover"
+        className="block dark:hidden aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/light/Integrations.png"
         alt="Integrations thumbnail"
         style={{pointerEvents: "none"}}
       />
       <img
-        className="hidden dark:block aspect-[4/3] w-full object-cover"
+        className="hidden dark:block aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/dark/Integrations.png"
         alt="Integrations thumbnail"
         style={{pointerEvents: "none"}}
       />
-      <div className="flex flex-1 flex-col gap-3 px-5 pb-6 pt-5 text-left">
+      <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
           Integrations
         </h3>
@@ -152,25 +135,51 @@ mode: "custom"
       className="group flex h-full flex-col overflow-hidden rounded-2xl border border-gray-200 dark:border-zinc-800/40 bg-white dark:bg-zinc-900/40 transition hover:border-primary/60 hover:bg-gray-50 dark:hover:bg-zinc-900"
     >
       <img
-        className="block dark:hidden aspect-[4/3] w-full object-cover"
+        className="block dark:hidden aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/light/API.png"
         alt="API reference thumbnail"
         style={{pointerEvents: "none"}}
       />
       <img
-        className="hidden dark:block aspect-[4/3] w-full object-cover"
+        className="hidden dark:block aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/dark/API.png"
         alt="API reference thumbnail"
         style={{pointerEvents: "none"}}
       />
-      <div className="flex flex-1 flex-col gap-3 px-5 pb-6 pt-5 text-left">
+      <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
-          API reference
+          API Reference
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
           Explore every REST endpoint with payload examples and usage guidance.
         </p>
       </div>
     </a>
+
+    <a
+      href="/platform/cli"
+      className="group flex h-full flex-col overflow-hidden rounded-2xl border border-gray-200 dark:border-zinc-800/40 bg-white dark:bg-zinc-900/40 transition hover:border-primary/60 hover:bg-gray-50 dark:hover:bg-zinc-900"
+    >
+      <img
+        className="block dark:hidden aspect-[2/1] w-full object-cover"
+        src="/images/docs thumbnails/light/CLI.png"
+        alt="CLI thumbnail"
+        style={{pointerEvents: "none"}}
+      />
+      <img
+        className="hidden dark:block aspect-[2/1] w-full object-cover"
+        src="/images/docs thumbnails/dark/CLI.png"
+        alt="CLI thumbnail"
+        style={{pointerEvents: "none"}}
+      />
+      <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
+        <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
+          CLI
+        </h3>
+        <p className="text-sm text-gray-600 dark:text-zinc-400">
+          Manage memories directly from your terminal. Built for developers and AI agents.
+        </p>
+      </div>
+    </a>
   </div>
 </section>

docs/llms.txt

@@ -14,11 +14,14 @@ Key differentiators:
 ## Getting Started
 
 - [Introduction](https://docs.mem0.ai/introduction): Overview of Mem0's memory layer for AI agents, including stateless vs stateful agents and how memory fits in the agent stack
+- [Platform Overview](https://docs.mem0.ai/platform/overview): Managed solution with 4-line integration, sub-50ms latency, and intuitive dashboard
+- [Vibe Code with Mem0](https://docs.mem0.ai/vibecoding): Single entry point for developers using AI coding tools (Claude Code, Cursor, Windsurf) with Mem0
+- [Mem0 MCP Server](https://docs.mem0.ai/platform/mem0-mcp): Model Context Protocol server for integrating Mem0 with AI coding assistants
+- [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss): Compare managed platform vs self-hosted options
 - [Platform Quickstart](https://docs.mem0.ai/platform/quickstart): Get started with Mem0 Platform (managed) in minutes
+- [Open Source Overview](https://docs.mem0.ai/open-source/overview): Self-hosted solution with full infrastructure control and customization
 - [Open Source Python Quickstart](https://docs.mem0.ai/open-source/python-quickstart): Get started with Mem0 Open Source using Python
 - [Open Source Node.js Quickstart](https://docs.mem0.ai/open-source/node-quickstart): Get started with Mem0 Open Source using Node.js
-- [Platform Overview](https://docs.mem0.ai/platform/overview): Managed solution with 4-line integration, sub-50ms latency, and intuitive dashboard
-- [Open Source Overview](https://docs.mem0.ai/open-source/overview): Self-hosted solution with full infrastructure control and customization
 
 ## Core Concepts
 
@@ -28,20 +31,20 @@ Key differentiators:
 - [Memory Operations - Update](https://docs.mem0.ai/core-concepts/memory-operations/update): Modifying existing memories when new information conflicts or supplements stored data
 - [Memory Operations - Delete](https://docs.mem0.ai/core-concepts/memory-operations/delete): Removing outdated or irrelevant memories to maintain memory quality
 
-## Platform (Managed Solution)
+## Platform Features
 
-- [Platform Quickstart](https://docs.mem0.ai/platform/quickstart): Complete guide to using Mem0 Platform with Python, JavaScript, and cURL examples
+- [Platform Features Overview](https://docs.mem0.ai/platform/features/platform-overview): High-level overview of all Mem0 Platform capabilities
-- [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss): Compare managed platform vs self-hosted options
 - [Advanced Memory Operations](https://docs.mem0.ai/platform/advanced-memory-operations): Sophisticated memory management techniques for complex applications
 
-### Essential Platform Features
+### Essential Features
-- [V2 Memory Filters](https://docs.mem0.ai/platform/features/v2-memory-filters): Advanced filtering and querying capabilities
+- [V2 Memory Filters](https://docs.mem0.ai/platform/features/v2-memory-filters): Advanced filtering and querying capabilities for memories
+- [Entity-Scoped Memory](https://docs.mem0.ai/platform/features/entity-scoped-memory): Organize memories by user, agent, app, and session identifiers
 - [Async Client](https://docs.mem0.ai/platform/features/async-client): Non-blocking operations for high-concurrency applications
+- [Async Mode Default Changes](https://docs.mem0.ai/platform/features/async-mode-default-change): Understanding new async behavior defaults
 - [Multimodal Support](https://docs.mem0.ai/platform/features/multimodal-support): Integration of images and documents (JPG, PNG, MDX, TXT, PDF) via URLs or Base64
 - [Custom Categories](https://docs.mem0.ai/platform/features/custom-categories): Define domain-specific categories to improve memory organization
-- [Async Mode Default Changes](https://docs.mem0.ai/platform/features/async-mode-default-change): Understanding new async behavior defaults
 
-### Advanced Platform Features
+### Advanced Features
 - [Graph Memory](https://docs.mem0.ai/platform/features/graph-memory): Build and query relationships between entities for contextually relevant retrieval
 - [Graph Threshold](https://docs.mem0.ai/platform/features/graph-threshold): Configure graph relationship sensitivity and strength
 - [Advanced Retrieval](https://docs.mem0.ai/platform/features/advanced-retrieval): Enhanced search with keyword search, reranking, and filtering capabilities
@@ -59,10 +62,15 @@ Key differentiators:
 - [Webhooks](https://docs.mem0.ai/platform/features/webhooks): Real-time notifications for memory events
 - [Feedback Mechanism](https://docs.mem0.ai/platform/features/feedback-mechanism): Improve memory quality through user feedback
 - [Group Chat Support](https://docs.mem0.ai/platform/features/group-chat): Multi-conversation memory management
+- [MCP Integration](https://docs.mem0.ai/platform/features/mcp-integration): Model Context Protocol integration for AI coding tools
 
-### Platform Support
+### Support & Migration
 - [FAQs](https://docs.mem0.ai/platform/faqs): Frequently asked questions about Mem0 Platform
 - [Contribute Guide](https://docs.mem0.ai/platform/contribute): Contributing to Mem0 Platform development
+- [OSS to Platform Migration](https://docs.mem0.ai/migration/oss-to-platform): Guide for migrating from open-source to managed platform
+- [V0 to V1 Migration](https://docs.mem0.ai/migration/v0-to-v1): Upgrading from Mem0 v0 to v1
+- [Breaking Changes](https://docs.mem0.ai/migration/breaking-changes): List of breaking changes across versions
+- [API Changes](https://docs.mem0.ai/migration/api-changes): Detailed API changes and migration paths
 
 ## Open Source
 
@@ -72,93 +80,130 @@ Key differentiators:
 - [Configuration Guide](https://docs.mem0.ai/open-source/configuration): Complete configuration options for self-hosted deployment
 
 ### Open Source Features
-- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai_compatibility): Seamless integration with OpenAI-compatible APIs
+- [Features Overview](https://docs.mem0.ai/open-source/features/overview): Overview of all open-source features
-- [REST API Server](https://docs.mem0.ai/open-source/features/rest-api): FastAPI-based server with core operations and OpenAPI documentation
 - [Graph Memory](https://docs.mem0.ai/open-source/features/graph-memory): Build and query entity relationships using graph stores like Neo4j
 - [Metadata Filtering](https://docs.mem0.ai/open-source/features/metadata-filtering): Advanced filtering using custom metadata fields
 - [Reranker Search](https://docs.mem0.ai/open-source/features/reranker-search): Enhanced search results with reranking models
 - [Async Memory](https://docs.mem0.ai/open-source/features/async-memory): Asynchronous memory operations for better performance
 - [Multimodal Support](https://docs.mem0.ai/open-source/features/multimodal-support): Handle text, images, and documents in self-hosted setup
-
-### Customization
 - [Custom Fact Extraction](https://docs.mem0.ai/open-source/features/custom-fact-extraction-prompt): Tailor information extraction for specific use cases
 - [Custom Memory Update Prompt](https://docs.mem0.ai/open-source/features/custom-update-memory-prompt): Customize how memories are updated and merged
+- [REST API Server](https://docs.mem0.ai/open-source/features/rest-api): FastAPI-based server with core operations and OpenAPI documentation
+- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai_compatibility): Seamless integration with OpenAI-compatible APIs
 
 ## Components
 
+### LLMs
 - [LLM Overview](https://docs.mem0.ai/components/llms/overview): Comprehensive guide to Large Language Model integration and configuration options
-- [Vector Database Overview](https://docs.mem0.ai/components/vectordbs/overview): Guide to supported vector databases for semantic memory storage
+- [LLM Configuration](https://docs.mem0.ai/components/llms/config): Configuration reference for LLM providers
-- [Embeddings Overview](https://docs.mem0.ai/components/embedders/overview): Embedding model configuration for semantic understanding
+- [OpenAI](https://docs.mem0.ai/components/llms/models/openai): Integration with OpenAI models including GPT-4
-
-### Supported LLMs
-
-- [OpenAI](https://docs.mem0.ai/components/llms/models/openai): Integration with OpenAI models including GPT-4 and structured outputs
 - [Anthropic](https://docs.mem0.ai/components/llms/models/anthropic): Claude model integration with advanced reasoning capabilities
-- [Google AI](https://docs.mem0.ai/components/llms/models/google_AI): Gemini model integration for multimodal applications
-- [Groq](https://docs.mem0.ai/components/llms/models/groq): High-performance LPU optimized models for fast inference
-- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws_bedrock): Enterprise-grade AWS managed model integration
 - [Azure OpenAI](https://docs.mem0.ai/components/llms/models/azure_openai): Microsoft Azure hosted OpenAI models for enterprise environments
 - [Ollama](https://docs.mem0.ai/components/llms/models/ollama): Local model deployment for privacy-focused applications
-- [vLLM](https://docs.mem0.ai/components/llms/models/vllm): High-performance inference framework
-- [LM Studio](https://docs.mem0.ai/components/llms/models/lmstudio): Local model management and deployment
 - [Together](https://docs.mem0.ai/components/llms/models/together): Open-source model inference platform
-- [DeepSeek](https://docs.mem0.ai/components/llms/models/deepseek): Advanced reasoning models
+- [Groq](https://docs.mem0.ai/components/llms/models/groq): High-performance LPU optimized models for fast inference
-- [Sarvam](https://docs.mem0.ai/components/llms/models/sarvam): Indian language models
-- [XAI](https://docs.mem0.ai/components/llms/models/xAI): xAI models integration
 - [LiteLLM](https://docs.mem0.ai/components/llms/models/litellm): Unified LLM interface and proxy
-- [LangChain](https://docs.mem0.ai/components/llms/models/langchain): LangChain LLM integration
+- [Mistral AI](https://docs.mem0.ai/components/llms/models/mistral_AI): Mistral model integration
-- [OpenAI Structured](https://docs.mem0.ai/components/llms/models/openai_structured): OpenAI with structured output support
+- [Google AI](https://docs.mem0.ai/components/llms/models/google_AI): Gemini model integration for multimodal applications
-- [Azure OpenAI Structured](https://docs.mem0.ai/components/llms/models/azure_openai_structured): Azure OpenAI with structured outputs
+- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws_bedrock): Enterprise-grade AWS managed model integration
-
+- [DeepSeek](https://docs.mem0.ai/components/llms/models/deepseek): Advanced reasoning models
-### Supported Vector Databases
+- [MiniMax](https://docs.mem0.ai/components/llms/models/minimax): MiniMax model integration
+- [xAI](https://docs.mem0.ai/components/llms/models/xAI): xAI Grok models integration
+- [Sarvam](https://docs.mem0.ai/components/llms/models/sarvam): Indian language models
+- [LM Studio](https://docs.mem0.ai/components/llms/models/lmstudio): Local model management and deployment
+- [LangChain LLM](https://docs.mem0.ai/components/llms/models/langchain): LangChain LLM integration
+- [vLLM](https://docs.mem0.ai/components/llms/models/vllm): High-performance inference framework
 
+### Vector Databases
+- [Vector Database Overview](https://docs.mem0.ai/components/vectordbs/overview): Guide to supported vector databases for semantic memory storage
+- [Vector Database Configuration](https://docs.mem0.ai/components/vectordbs/config): Configuration reference for vector database providers
 - [Qdrant](https://docs.mem0.ai/components/vectordbs/dbs/qdrant): High-performance vector similarity search engine
-- [Pinecone](https://docs.mem0.ai/components/vectordbs/dbs/pinecone): Managed vector database with serverless and pod deployment options
 - [Chroma](https://docs.mem0.ai/components/vectordbs/dbs/chroma): AI-native open-source vector database optimized for speed
-- [Weaviate](https://docs.mem0.ai/components/vectordbs/dbs/weaviate): Open-source vector search engine with built-in ML capabilities
 - [PGVector](https://docs.mem0.ai/components/vectordbs/dbs/pgvector): PostgreSQL extension for vector similarity search
 - [Milvus](https://docs.mem0.ai/components/vectordbs/dbs/milvus): Open-source vector database for AI applications at scale
-- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis): Real-time vector storage and search with Redis Stack
+- [Pinecone](https://docs.mem0.ai/components/vectordbs/dbs/pinecone): Managed vector database with serverless and pod deployment options
-- [Supabase](https://docs.mem0.ai/components/vectordbs/dbs/supabase): Open-source Firebase alternative with vector support
-- [Upstash Vector](https://docs.mem0.ai/components/vectordbs/dbs/upstash-vector): Serverless vector database
-- [Elasticsearch](https://docs.mem0.ai/components/vectordbs/dbs/elasticsearch): Distributed search and analytics engine
-- [OpenSearch](https://docs.mem0.ai/components/vectordbs/dbs/opensearch): Open-source search and analytics platform
-- [FAISS](https://docs.mem0.ai/components/vectordbs/dbs/faiss): Facebook AI Similarity Search library
 - [MongoDB](https://docs.mem0.ai/components/vectordbs/dbs/mongodb): Document database with vector search capabilities
 - [Azure AI Search](https://docs.mem0.ai/components/vectordbs/dbs/azure): Microsoft's enterprise search service
+- [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure_mysql): Azure Database for MySQL with vector search
+- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis): Real-time vector storage and search with Redis Stack
+- [Valkey](https://docs.mem0.ai/components/vectordbs/dbs/valkey): Open-source Redis alternative with vector search
+- [Elasticsearch](https://docs.mem0.ai/components/vectordbs/dbs/elasticsearch): Distributed search and analytics engine
+- [OpenSearch](https://docs.mem0.ai/components/vectordbs/dbs/opensearch): Open-source search and analytics platform
+- [Supabase](https://docs.mem0.ai/components/vectordbs/dbs/supabase): Open-source Firebase alternative with vector support
+- [Upstash Vector](https://docs.mem0.ai/components/vectordbs/dbs/upstash-vector): Serverless vector database
+- [Vectorize](https://docs.mem0.ai/components/vectordbs/dbs/vectorize): Vectorize vector database integration
 - [Vertex AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/vertex_ai): Google Cloud's vector search service
-- [Databricks](https://docs.mem0.ai/components/vectordbs/dbs/databricks): Delta Lake integration for vector search
+- [Weaviate](https://docs.mem0.ai/components/vectordbs/dbs/weaviate): Open-source vector search engine with built-in ML capabilities
+- [FAISS](https://docs.mem0.ai/components/vectordbs/dbs/faiss): Facebook AI Similarity Search library
+- [LangChain Vector Store](https://docs.mem0.ai/components/vectordbs/dbs/langchain): LangChain vector store integration
 - [Baidu](https://docs.mem0.ai/components/vectordbs/dbs/baidu): Baidu vector database integration
-- [LangChain](https://docs.mem0.ai/components/vectordbs/dbs/langchain): LangChain vector store integration
+- [Cassandra](https://docs.mem0.ai/components/vectordbs/dbs/cassandra): Apache Cassandra with vector search capabilities
 - [S3 Vectors](https://docs.mem0.ai/components/vectordbs/dbs/s3_vectors): Amazon S3 Vectors integration
+- [Databricks](https://docs.mem0.ai/components/vectordbs/dbs/databricks): Delta Lake integration for vector search
+- [Neptune Analytics](https://docs.mem0.ai/components/vectordbs/dbs/neptune_analytics): AWS Neptune Analytics for graph and vector search
+- [Turbopuffer](https://docs.mem0.ai/components/vectordbs/dbs/turbopuffer): High-performance serverless vector database
 
-### Supported Embeddings
+### Embedding Models
-
+- [Embeddings Overview](https://docs.mem0.ai/components/embedders/overview): Embedding model configuration for semantic understanding
+- [Embeddings Configuration](https://docs.mem0.ai/components/embedders/config): Configuration reference for embedding providers
 - [OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/openai): High-quality text embeddings with customizable dimensions
 - [Azure OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/azure_openai): Enterprise Azure-hosted embedding models
-- [Google AI](https://docs.mem0.ai/components/embedders/models/google_AI): Gemini embedding models
+- [Ollama Embeddings](https://docs.mem0.ai/components/embedders/models/ollama): Local embedding models for privacy-focused applications
-- [AWS Bedrock](https://docs.mem0.ai/components/embedders/models/aws_bedrock): Amazon embedding models through Bedrock
+- [Hugging Face Embeddings](https://docs.mem0.ai/components/embedders/models/huggingface): Open-source embedding models for local deployment
-- [Hugging Face](https://docs.mem0.ai/components/embedders/models/huggingface): Open-source embedding models for local deployment
+- [Vertex AI Embeddings](https://docs.mem0.ai/components/embedders/models/vertexai): Google Cloud's enterprise embedding models
-- [Vertex AI](https://docs.mem0.ai/components/embedders/models/vertexai): Google Cloud's enterprise embedding models
+- [Google AI Embeddings](https://docs.mem0.ai/components/embedders/models/google_AI): Gemini embedding models
-- [Ollama](https://docs.mem0.ai/components/embedders/models/ollama): Local embedding models for privacy-focused applications
+- [LM Studio Embeddings](https://docs.mem0.ai/components/embedders/models/lmstudio): Local model embeddings
-- [Together](https://docs.mem0.ai/components/embedders/models/together): Open-source model embeddings
+- [Together Embeddings](https://docs.mem0.ai/components/embedders/models/together): Open-source model embeddings
-- [LM Studio](https://docs.mem0.ai/components/embedders/models/lmstudio): Local model embeddings
+- [LangChain Embeddings](https://docs.mem0.ai/components/embedders/models/langchain): LangChain embedder integration
-- [LangChain](https://docs.mem0.ai/components/embedders/models/langchain): LangChain embedder integration
+- [AWS Bedrock Embeddings](https://docs.mem0.ai/components/embedders/models/aws_bedrock): Amazon embedding models through Bedrock
+
+### Rerankers
+- [Reranker Overview](https://docs.mem0.ai/components/rerankers/overview): Guide to reranking models for improving search result quality
+- [Reranker Configuration](https://docs.mem0.ai/components/rerankers/config): Configuration reference for reranker providers
+- [Reranker Optimization](https://docs.mem0.ai/components/rerankers/optimization): Performance tuning and optimization strategies for rerankers
+- [Custom Reranker Prompts](https://docs.mem0.ai/components/rerankers/custom-prompts): Customize reranker behavior with custom prompts
+- [Cohere Reranker](https://docs.mem0.ai/components/rerankers/models/cohere): Cohere reranking model integration
+- [Sentence Transformer Reranker](https://docs.mem0.ai/components/rerankers/models/sentence_transformer): Cross-encoder reranking with sentence transformers
+- [Hugging Face Reranker](https://docs.mem0.ai/components/rerankers/models/huggingface): Hugging Face reranking models
+- [LLM Reranker](https://docs.mem0.ai/components/rerankers/models/llm_reranker): Use LLMs as rerankers for flexible relevance scoring
+- [Zero Entropy Reranker](https://docs.mem0.ai/components/rerankers/models/zero_entropy): Zero Entropy reranking model
 
 ## Integrations
 
+- [Integrations Overview](https://docs.mem0.ai/integrations): Overview of all available Mem0 integrations
+
+### Agent Frameworks
 - [LangChain](https://docs.mem0.ai/integrations/langchain): Seamless integration with LangChain framework for enhanced agent capabilities
 - [LangGraph](https://docs.mem0.ai/integrations/langgraph): Build stateful, multi-actor applications with persistent memory
 - [LlamaIndex](https://docs.mem0.ai/integrations/llama-index): Enhanced RAG applications with intelligent memory layer
 - [CrewAI](https://docs.mem0.ai/integrations/crewai): Multi-agent systems with shared and individual memory capabilities
 - [AutoGen](https://docs.mem0.ai/integrations/autogen): Microsoft's multi-agent conversation framework with memory
+- [Agno](https://docs.mem0.ai/integrations/agno): Agno framework integration with persistent memory
+- [Camel AI](https://docs.mem0.ai/integrations/camel-ai): Camel AI multi-agent framework with memory support
+- [OpenClaw](https://docs.mem0.ai/integrations/openclaw): OpenClaw framework integration
+- [OpenAI Agents SDK](https://docs.mem0.ai/integrations/openai-agents-sdk): OpenAI's agent framework with Mem0 memory
+- [Google AI ADK](https://docs.mem0.ai/integrations/google-ai-adk): Google AI Agent Development Kit with persistent memory
+- [Mastra](https://docs.mem0.ai/integrations/mastra): Mastra TypeScript agent framework integration
 - [Vercel AI SDK](https://docs.mem0.ai/integrations/vercel-ai-sdk): Build AI-powered web applications with persistent memory
-- [Flowise](https://docs.mem0.ai/integrations/flowise): No-code LLM workflow builder with memory capabilities
+
+### Voice & Real-time
+- [LiveKit](https://docs.mem0.ai/integrations/livekit): Real-time voice and video AI with persistent memory
+- [Pipecat](https://docs.mem0.ai/integrations/pipecat): Voice AI pipeline framework with memory capabilities
+- [ElevenLabs](https://docs.mem0.ai/integrations/elevenlabs): Voice synthesis integration with conversational memory
+
+### Cloud & Infrastructure
+- [AWS Bedrock](https://docs.mem0.ai/integrations/aws-bedrock): Enterprise AWS integration for managed AI services
+
+### Developer Tools
 - [Dify](https://docs.mem0.ai/integrations/dify): LLMOps platform integration for production AI applications
+- [Flowise](https://docs.mem0.ai/integrations/flowise): No-code LLM workflow builder with memory capabilities
+- [LangChain Tools](https://docs.mem0.ai/integrations/langchain-tools): Use Mem0 as a LangChain tool for agents
+- [AgentOps](https://docs.mem0.ai/integrations/agentops): Agent observability and monitoring with memory tracking
+- [Keywords AI](https://docs.mem0.ai/integrations/keywords): Keywords AI integration for LLM monitoring
+- [Raycast](https://docs.mem0.ai/integrations/raycast): Raycast extension for quick memory access
 
 ## Cookbooks and Examples
 
-### Cookbooks Overview
 - [Cookbooks Overview](https://docs.mem0.ai/cookbooks/overview): Complete guide to Mem0 examples and implementation patterns
 
 ### Essential Guides
@@ -171,12 +216,13 @@ Key differentiators:
 - [Choosing Memory Architecture](https://docs.mem0.ai/cookbooks/essentials/choosing-memory-architecture-vector-vs-graph): Vector vs Graph memory architectures comparison
 
 ### AI Companion Examples
+- [Quickstart Demo](https://docs.mem0.ai/cookbooks/companions/quickstart-demo): Quick demo of building an AI companion with memory
+- [Node.js Companion](https://docs.mem0.ai/cookbooks/companions/nodejs-companion): JavaScript-based AI companion applications
 - [AI Tutor](https://docs.mem0.ai/cookbooks/companions/ai-tutor): Educational AI that adapts to learning progress
 - [Travel Assistant](https://docs.mem0.ai/cookbooks/companions/travel-assistant): Travel planning agent that learns preferences
+- [YouTube Research Assistant](https://docs.mem0.ai/cookbooks/companions/youtube-research): AI that researches and learns from video content
 - [Voice Companion](https://docs.mem0.ai/cookbooks/companions/voice-companion-openai): Voice-enabled AI with conversational memory
 - [Local Companion](https://docs.mem0.ai/cookbooks/companions/local-companion-ollama): Privacy-focused companion using local models
-- [Node.js Companion](https://docs.mem0.ai/cookbooks/companions/nodejs-companion): JavaScript-based AI companion applications
-- [YouTube Research Assistant](https://docs.mem0.ai/cookbooks/companions/youtube-research): AI that researches and learns from video content
 
 ### Operations & Automation
 - [Support Inbox](https://docs.mem0.ai/cookbooks/operations/support-inbox): Customer service agents with conversation history
@@ -186,30 +232,77 @@ Key differentiators:
 - [Team Task Agent](https://docs.mem0.ai/cookbooks/operations/team-task-agent): Collaborative AI agents with shared project memory
 
 ### Integration Examples
+- [Agents SDK Tool](https://docs.mem0.ai/cookbooks/integrations/agents-sdk-tool): Using Mem0 as a tool with OpenAI Agents SDK
 - [OpenAI Tool Calls](https://docs.mem0.ai/cookbooks/integrations/openai-tool-calls): Mem0 integrated with OpenAI function calling
-- [AWS Bedrock](https://docs.mem0.ai/cookbooks/integrations/aws-bedrock): Enterprise memory with AWS managed services
-- [Tavily Search](https://docs.mem0.ai/cookbooks/integrations/tavily-search): Web search with persistent memory of results
-- [Healthcare Google ADK](https://docs.mem0.ai/cookbooks/integrations/healthcare-google-adk): Medical AI applications with memory
 - [Mastra Agent](https://docs.mem0.ai/cookbooks/integrations/mastra-agent): Mastra framework integration with memory
+- [Healthcare Google ADK](https://docs.mem0.ai/cookbooks/integrations/healthcare-google-adk): Medical AI applications with memory
+- [AWS Bedrock](https://docs.mem0.ai/cookbooks/integrations/aws-bedrock): Enterprise memory with AWS managed services
+- [Neptune Analytics](https://docs.mem0.ai/cookbooks/integrations/neptune-analytics): Graph and vector search with AWS Neptune
+- [Tavily Search](https://docs.mem0.ai/cookbooks/integrations/tavily-search): Web search with persistent memory of results
 
 ### Framework Examples
 - [LlamaIndex React](https://docs.mem0.ai/cookbooks/frameworks/llamaindex-react): React applications with LlamaIndex and memory
 - [LlamaIndex Multiagent](https://docs.mem0.ai/cookbooks/frameworks/llamaindex-multiagent): Multi-agent systems with shared memory
+- [Multimodal Retrieval](https://docs.mem0.ai/cookbooks/frameworks/multimodal-retrieval): Memory systems handling text, images, and documents
 - [Eliza OS Character](https://docs.mem0.ai/cookbooks/frameworks/eliza-os-character): Character-based AI with persistent personality
 - [Chrome Extension](https://docs.mem0.ai/cookbooks/frameworks/chrome-extension): Browser extensions that remember user interactions
-- [Multimodal Retrieval](https://docs.mem0.ai/cookbooks/frameworks/multimodal-retrieval): Memory systems handling text, images, and documents
+- [Gemini with Mem0 MCP](https://docs.mem0.ai/cookbooks/frameworks/gemini-3-with-mem0-mcp): Google Gemini integration using MCP server
+- [Mirofish Swarm Memory](https://docs.mem0.ai/cookbooks/frameworks/mirofish-swarm-memory): Swarm-based multi-agent memory patterns
 
 ## API Reference
 
-- [Memory APIs](https://docs.mem0.ai/api-reference/memory/add-memories): Comprehensive API documentation for memory operations
+- [API Reference Overview](https://docs.mem0.ai/api-reference): REST API overview with authentication and quick start guide
+- [Organizations & Projects](https://docs.mem0.ai/api-reference/organizations-projects): Managing organizations and projects for multi-tenant setups
+
+### Core Memory APIs
 - [Add Memories](https://docs.mem0.ai/api-reference/memory/add-memories): REST API for storing new memories with detailed request/response formats
-- [Search Memories](https://docs.mem0.ai/api-reference/memory/search-memories): Advanced search API with filtering and ranking capabilities
 - [Get All Memories](https://docs.mem0.ai/api-reference/memory/get-memories): Retrieve all memories with pagination and filtering options
+- [Search Memories](https://docs.mem0.ai/api-reference/memory/search-memories): Advanced search API with filtering and ranking capabilities
 - [Update Memory](https://docs.mem0.ai/api-reference/memory/update-memory): Modify existing memories with conflict resolution
-- [Delete Memory](https://docs.mem0.ai/api-reference/memory/delete-memory): Remove memories individually or in batches
+- [Delete Memory](https://docs.mem0.ai/api-reference/memory/delete-memory): Remove a specific memory by ID
 
-## Optional
+### Additional Memory APIs
+- [Create Memory Export](https://docs.mem0.ai/api-reference/memory/create-memory-export): Export memories in bulk
+- [Feedback](https://docs.mem0.ai/api-reference/memory/feedback): Submit feedback on memory quality
+- [Get Memory](https://docs.mem0.ai/api-reference/memory/get-memory): Retrieve a single memory by ID
+- [Memory History](https://docs.mem0.ai/api-reference/memory/history-memory): View the history of changes to a memory
+- [Get Memory Export](https://docs.mem0.ai/api-reference/memory/get-memory-export): Retrieve a previously created memory export
+- [Batch Update](https://docs.mem0.ai/api-reference/memory/batch-update): Update multiple memories in a single request
+- [Batch Delete](https://docs.mem0.ai/api-reference/memory/batch-delete): Delete multiple memories in a single request
+- [Delete All Memories](https://docs.mem0.ai/api-reference/memory/delete-memories): Remove all memories matching criteria
 
-- [FAQs](https://docs.mem0.ai/platform/faqs): Frequently asked questions about Mem0's Platform capabilities and implementation details
+### Events APIs
-- [Changelog](https://docs.mem0.ai/changelog): Detailed product updates and version history for tracking new features and improvements
+- [Get Events](https://docs.mem0.ai/api-reference/events/get-events): List asynchronous memory operation events
-- [Contributing Guide](https://docs.mem0.ai/contributing/development): Guidelines for contributing to Mem0's open-source development
+- [Get Event](https://docs.mem0.ai/api-reference/events/get-event): Retrieve details of a specific event
+
+### Entities APIs
+- [Get Users](https://docs.mem0.ai/api-reference/entities/get-users): List all entities (users, agents, apps)
+- [Delete User](https://docs.mem0.ai/api-reference/entities/delete-user): Remove an entity and all associated memories
+
+### Organizations APIs
+- [Create Organization](https://docs.mem0.ai/api-reference/organization/create-org): Create a new organization
+- [Get Organizations](https://docs.mem0.ai/api-reference/organization/get-orgs): List all organizations
+- [Get Organization](https://docs.mem0.ai/api-reference/organization/get-org): Retrieve organization details
+- [Get Organization Members](https://docs.mem0.ai/api-reference/organization/get-org-members): List organization members
+- [Add Organization Member](https://docs.mem0.ai/api-reference/organization/add-org-member): Add a member to an organization
+- [Delete Organization](https://docs.mem0.ai/api-reference/organization/delete-org): Remove an organization
+
+### Project APIs
+- [Create Project](https://docs.mem0.ai/api-reference/project/create-project): Create a new project within an organization
+- [Get Projects](https://docs.mem0.ai/api-reference/project/get-projects): List all projects
+- [Get Project](https://docs.mem0.ai/api-reference/project/get-project): Retrieve project details
+- [Get Project Members](https://docs.mem0.ai/api-reference/project/get-project-members): List project members
+- [Add Project Member](https://docs.mem0.ai/api-reference/project/add-project-member): Add a member to a project
+- [Delete Project](https://docs.mem0.ai/api-reference/project/delete-project): Remove a project
+
+### Webhook APIs
+- [Create Webhook](https://docs.mem0.ai/api-reference/webhook/create-webhook): Register a new webhook endpoint
+- [Get Webhook](https://docs.mem0.ai/api-reference/webhook/get-webhook): Retrieve webhook configuration
+- [Update Webhook](https://docs.mem0.ai/api-reference/webhook/update-webhook): Modify webhook settings
+- [Delete Webhook](https://docs.mem0.ai/api-reference/webhook/delete-webhook): Remove a webhook
+
+## Community & Support
+
+- [Contributing - Development](https://docs.mem0.ai/contributing/development): Guidelines for contributing to Mem0's open-source development
+- [Contributing - Documentation](https://docs.mem0.ai/contributing/documentation): Guidelines for contributing to Mem0's documentation
+- [Changelog](https://docs.mem0.ai/changelog): Detailed product updates and version history