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Author SHA1 Message Date
kartik-mem0 e0fb194c76 feat: add one-click Docker setup for OpenClaw + Mem0 2026-04-01 10:55:50 +05:30
118 changed files with 1339 additions and 8396 deletions
-20
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@@ -1,20 +0,0 @@
{
"name": "mem0-plugins",
"interface": {
"displayName": "Mem0 Plugins"
},
"plugins": [
{
"name": "mem0",
"source": {
"source": "local",
"path": "./mem0-plugin"
},
"policy": {
"installation": "AVAILABLE",
"authentication": "ON_INSTALL"
},
"category": "Productivity"
}
]
}
+1 -2
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@@ -7,7 +7,6 @@ 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
@@ -39,7 +38,7 @@ jobs:
# packages_dir: dist/
- name: Publish distribution 📦 to PyPI
if: startsWith(github.ref, 'refs/tags/v')
if: startsWith(github.ref, 'refs/tags')
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages_dir: dist/
-43
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@@ -1,43 +0,0 @@
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
-34
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@@ -1,34 +0,0 @@
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/
-43
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@@ -1,43 +0,0 @@
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
-43
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@@ -1,43 +0,0 @@
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
-43
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@@ -1,43 +0,0 @@
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
-28
View File
@@ -61,31 +61,3 @@ 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
+15 -175
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@@ -28,7 +28,7 @@ mem0 CLI is the official command-line interface for [mem0](https://mem0.ai) -- t
### Who is it for?
- Developers integrating mem0 into their workflows
- AI agents that need persistent memory (the CLI is designed with `--json`/`--agent` global flags and `help --json` specifically for machine consumption)
- AI agents that need persistent memory (the CLI is designed with `--output json` and `help --json` specifically for machine consumption)
- DevOps/CI pipelines that need to manage memories programmatically
### Project Structure
@@ -79,7 +79,6 @@ Apache-2.0
│ ├── init_cmd.py # run_init (interactive wizard)
│ ├── config_cmd.py # cmd_config_show, cmd_config_get, cmd_config_set
│ ├── entities.py # cmd_entities_list, cmd_entities_delete
│ ├── events_cmd.py # cmd_event_list, cmd_event_status
│ └── utils.py # cmd_status, cmd_version, cmd_import
└── node/
├── package.json # Node package config (tsup build)
@@ -89,7 +88,6 @@ Apache-2.0
├── config.ts # Config loading/saving, env var overrides
├── branding.ts # Colors, icons, banner, timedStatus, print helpers
├── output.ts # Output formatting (text, json, table, quiet)
├── state.ts # Agent mode flag (setAgentMode, isAgentMode)
├── help.ts # Rich-style help formatter (panels, command ordering)
├── backend/
│ ├── index.ts # Re-exports
@@ -100,7 +98,6 @@ Apache-2.0
├── init.ts # runInit (interactive wizard)
├── config.ts # cmdConfigShow, cmdConfigGet, cmdConfigSet
├── entities.ts # cmdEntitiesList, cmdEntitiesDelete
├── events.ts # cmdEventList, cmdEventStatus
└── utils.ts # cmdStatus, cmdVersion, cmdImport
```
@@ -158,15 +155,9 @@ Interactive setup wizard for mem0 CLI.
| `-u, --user-id` | string | No | - | Default user ID (skip prompt). |
| `--email` | string | No | - | Login via email verification code. |
| `--code` | string | No | - | Verification code (use with --email for non-interactive login). |
| `--force` | bool | No | false | Overwrite existing config without confirmation. |
**Behavior:**
*Existing config protection:*
- If `~/.mem0/config.json` exists with an API key, the CLI warns and asks for confirmation before overwriting.
- In non-TTY mode, this is a hard error unless `--force` is passed.
- `--force` skips the confirmation in both TTY and non-TTY modes.
*Email login flow (when `--email` is provided):*
- Sends a 6-digit verification code to the email via `POST /api/v1/auth/email_code/`.
- If `--code` is also provided, verifies immediately (fully non-interactive).
@@ -184,7 +175,6 @@ Interactive setup wizard for mem0 CLI.
```bash
mem0 init
mem0 init --api-key m0-xxx --user-id alice
mem0 init --api-key m0-xxx --user-id alice --force
mem0 init --email alice@company.com
mem0 init --email alice@company.com --code 482901
```
@@ -710,114 +700,7 @@ mem0 entity delete --user-id alice --dry-run
---
### 3.14 `event list`
List recent background processing events.
| Property | Value |
|------------------|-------|
| Usage | `mem0 event list [OPTIONS]` |
| needsBackend | Yes |
| needsConfig | Yes |
| resolveIds | No |
| resolveGraph | No |
| confirmDangerous | No |
| Output formats | text (table), json |
| Default output | table |
| API endpoint | `GET /v1/events/` |
**Options:**
| Flag | Type | Default | Panel | Help |
|----------------|--------|---------|------------|------|
| `-o, --output` | string | "table" | Output | Output: text, json. |
| `--api-key` | string | - | Connection | Override API key. |
| `--base-url` | string | - | Connection | Override API base URL. |
**Behavior:** Fetches all background events for the project. Displays as a table with columns: Event ID (first 8 chars), Type, Status (color-coded), Latency, Created. Status values: `PENDING` (accent), `SUCCEEDED` (green), `FAILED` (red), `PROCESSING` (yellow).
**JSON output envelope:**
```json
{
"status": "success",
"command": "event list",
"count": 3,
"duration_ms": 87,
"data": [
{ "id": "evt-abc", "event_type": "ADD", "status": "SUCCEEDED", "latency": 412.0, "created_at": "2026-01-01T10:00:00Z" }
]
}
```
**Examples:**
```bash
mem0 event list
mem0 event list --output json
```
---
### 3.15 `event status`
Get the status and results of a specific background event.
| Property | Value |
|------------------|-------|
| Usage | `mem0 event status <event_id> [OPTIONS]` |
| needsBackend | Yes |
| needsConfig | Yes |
| resolveIds | No |
| resolveGraph | No |
| confirmDangerous | No |
| Output formats | text, json |
| Default output | text |
| API endpoint | `GET /v1/events/{event_id}/` |
**Arguments:**
| Name | Type | Required | Help |
|------------|--------|----------|------|
| `event_id` | string | Yes | Event ID to inspect. |
**Options:**
| Flag | Type | Default | Panel | Help |
|----------------|--------|---------|------------|------|
| `-o, --output` | string | "text" | Output | Output: text, json. |
| `--api-key` | string | - | Connection | Override API key. |
| `--base-url` | string | - | Connection | Override API base URL. |
**Behavior:** Fetches the event by ID and displays: Event ID, Type, Status (color-coded), Latency, Created, Updated, and a numbered list of result memories (event type, memory text, user_id, truncated memory ID). Displayed in a boxed panel (text) or JSON envelope.
**JSON output envelope:**
```json
{
"status": "success",
"command": "event status",
"duration_ms": 65,
"data": {
"id": "evt-abc",
"event_type": "ADD",
"status": "SUCCEEDED",
"latency": 412.0,
"created_at": "2026-01-01T10:00:00Z",
"updated_at": "2026-01-01T10:00:01Z",
"results": [
{ "id": "mem-xyz", "event": "ADD", "user_id": "alice", "memory": "User prefers dark mode" }
]
}
}
```
**Examples:**
```bash
mem0 event status evt-abc-123
mem0 event status evt-abc-123 --output json
```
---
### 3.16 `status`
### 3.14 `status`
Check connectivity and authentication.
@@ -838,19 +721,20 @@ Check connectivity and authentication.
| `--api-key` | string | - | Connection | Override API key. |
| `--base-url` | string | - | Connection | Override API base URL. |
**Behavior:** Validates connectivity by calling `GET /v1/ping/`. Displays connection status in a boxed panel (text) or JSON envelope. The ping endpoint is lightweight and does not require any entity scope.
**Behavior:** If config has a default `user_id` or `agent_id`, validates by making a minimal `POST /v2/memories/` with `page=1&page_size=1`. Otherwise validates via `GET /v1/entities/`. Displays connection status in a boxed panel (text) or JSON envelope.
**JSON output:**
```json
{
"status": "success",
"command": "status",
"duration_ms": 112,
"data": {
"connected": true,
"backend": "platform",
"base_url": "https://api.mem0.ai"
}
"base_url": "https://api.mem0.ai",
"latency_ms": 245
},
"duration_ms": 245
}
```
@@ -862,7 +746,7 @@ mem0 status -o json
---
### 3.17 `help`
### 3.15 `help`
Show help. Use `--json` for machine-readable output (for LLM agents).
@@ -922,9 +806,6 @@ The auth header name is `Authorization` and the scheme is `Token` (not Bearer).
| Delete all | `DELETE` | `/v1/memories/` | - | entity ID params |
| List entities | `GET` | `/v1/entities/` | - | - |
| Delete entities | `DELETE` | `/v1/entities/` | - | entity ID params |
| List events | `GET` | `/v1/events/` | - | - |
| Get event | `GET` | `/v1/events/{event_id}/` | - | - |
| Ping (status) | `GET` | `/v1/ping/` | - | - |
### How Filters Are Built (`_buildFilters` / `_build_filters`)
@@ -1227,8 +1108,6 @@ For `PENDING` events, displays "Processing in background" with the event ID.
### 7.1 Supported Modes Per Command
All commands also support `agent` mode via the global `--json`/`--agent` flag, which wraps output in a structured JSON envelope with sanitized fields.
| Command | text | json | table | quiet |
|----------------|------|------|-------|-------|
| add | Y | Y | - | Y |
@@ -1243,16 +1122,12 @@ All commands also support `agent` mode via the global `--json`/`--agent` flag, w
| config set | (success msg) | - | - | - |
| entity list | - | Y | Y (default) | - |
| entity delete | Y | Y | - | Y |
| event list | Y (table) | Y | - | - |
| event status | Y | Y | - | - |
| status | Y | Y | - | - |
| help | Y | Y (--json) | - | - |
### 7.2 JSON Envelope Format
### 7.2 JSON Envelope Format (`formatJsonEnvelope`)
There are two related envelope formats:
**`formatJsonEnvelope`** — used by `config show`, `status`, and `import` for `--output json`:
Used by `config show`, `status`, and `import` for structured JSON output:
```json
{
@@ -1266,39 +1141,14 @@ There are two related envelope formats:
}
```
**`formatAgentEnvelope`** — used by all commands in agent mode (`--json`/`--agent`). Same structure, but `data` is passed through `sanitizeAgentData(command, data)` to project only the most relevant fields:
| Command | Fields in `data` |
|---------------|-----------------|
| add | `[{id, memory, event}]` or `[{status, event_id}]` for PENDING |
| search | `[{id, memory, score, created_at, categories}]` |
| list | `[{id, memory, created_at, categories}]` |
| get | `{id, memory, created_at, updated_at, categories, metadata}` |
| update | `{id, memory}` |
| delete | (raw API response) |
| entity list | `[{name, type, count}]` |
| event list | `[{id, event_type, status, latency, created_at}]` |
| event status | `{id, event_type, status, latency, created_at, updated_at, results: [{id, event, user_id, memory}]}` |
| status/config/import | (pass-through) |
Error envelopes (on non-zero exit):
```json
{
"status": "error",
"command": "<command_name>",
"error": "Authentication failed. Your API key may be invalid or expired.",
"data": null
}
```
Fields:
- `status`: `"success"` or `"error"`.
- `command`: The command name.
- `status`: Always `"success"` (errors go to stderr before exit).
- `command`: The command name (e.g. `"status"`, `"config show"`, `"import"`).
- `duration_ms`: Optional, elapsed time in milliseconds.
- `scope`: Optional, active entity scope (omitted if empty).
- `scope`: Optional, active entity scope.
- `count`: Optional, result count.
- `error`: Only present when `status` is `"error"`.
- `data`: The primary payload (sanitized in agent mode).
- `error`: Optional, error message string.
- `data`: The primary payload.
### 7.3 Text Output
@@ -1369,16 +1219,6 @@ Destructive commands (`delete --all`, `delete --entity`, `entity delete`) requir
- CI/CD pipelines
- Scripting
### Why `--json`/`--agent` global flags exist
The `--json` and `--agent` flags (aliases of each other) activate agent mode globally. When set:
1. All output becomes a structured JSON envelope (`{status, command, duration_ms, scope, count, data}`).
2. The `data` field is sanitized via `sanitizeAgentData` — only the most relevant fields are included per command, reducing noise for agents parsing the output.
3. All human-readable output (spinners, colors, banners, timing lines) is suppressed.
4. Errors are emitted as JSON to stdout with a non-zero exit code, not to stderr as text.
This is distinct from `--output json`, which returns the raw API response without sanitization.
### Why `--output json` is on every command
Every data-returning command supports `--output json` (or `--json` for `help`). This enables machine consumption by AI agents and scripts. JSON output goes to stdout while human-readable spinners/timing go to stderr, so piping `mem0 list -o json | jq .` works cleanly.
+6 -38
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@@ -2,8 +2,6 @@
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
@@ -57,45 +55,12 @@ mem0 delete <memory-id>
| `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 entities` | List or delete entities (users, agents, apps) |
| `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`:
@@ -103,10 +68,13 @@ 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) |
| `json` | Structured JSON for piping to `jq` or agent consumption |
| `table` | Tabular format (default for `list`) |
| `quiet` | Minimal — just IDs or status codes |
| `agent` | Structured JSON envelope with sanitized fields (set by `--agent`/`--json`) |
```bash
mem0 search "preferences" --user-id alice --output json | jq '.data.results[].memory'
```
## Environment variables
+1 -2
View File
@@ -515,8 +515,7 @@
{ "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": "code", "flags": ["--code"], "type": "string", "default": null, "help": "Verification code (use with --email for non-interactive login)." }
]
},
{
+37 -299
View File
@@ -2,12 +2,10 @@
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
- pnpm (`npm install -g pnpm`)
## Installation
@@ -15,307 +13,22 @@ The official command-line interface for [mem0](https://mem0.ai) — the memory l
npm install -g @mem0/cli
```
## Quick start
Or from source:
```bash
# Interactive setup wizard
mem0 init
cd node
pnpm install
pnpm build
pnpm link --global
# 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>
# Now use it like a normal CLI
mem0 --help
```
## Commands
### `mem0 init`
Interactive setup wizard. Prompts for your API key and default user ID.
## Running during development
```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
cd node
pnpm install
# Development mode (runs TypeScript directly, no build needed)
@@ -326,11 +39,36 @@ pnpm dev search "test" --user-id alice
# Or build first, then run the compiled JS
pnpm build
node dist/index.js --help
node dist/index.js add "test memory" --user-id alice
```
## Documentation
## Quick Start
Full documentation is available at [docs.mem0.ai/platform/cli](https://docs.mem0.ai/platform/cli).
```bash
# Set up your configuration
mem0 init
# 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
mem0 list --user-id alice
```
## 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) |
## License
+1 -6
View File
@@ -1,6 +1,6 @@
{
"name": "@mem0/cli",
"version": "0.2.1",
"version": "0.1.0",
"description": "The official CLI for mem0 — the memory layer for AI agents",
"type": "module",
"bin": {
@@ -20,11 +20,6 @@
},
"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"
-4
View File
@@ -94,10 +94,6 @@ export interface Backend {
>;
entities(entityType: string): Promise<Record<string, unknown>[]>;
listEvents(): Promise<Record<string, unknown>[]>;
getEvent(eventId: string): Promise<Record<string, unknown>>;
}
export class AuthError extends Error {
+27 -35
View File
@@ -264,33 +264,41 @@ export class PlatformBackend implements Backend {
}
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) {
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;
if (Object.keys(params).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;
return (await this._request("DELETE", "/v1/entities/", {
params,
})) as Record<string, unknown>;
}
async status(
opts: { userId?: string; agentId?: string } = {},
): Promise<Record<string, unknown>> {
try {
await this._request("GET", "/v1/ping/");
if (opts.userId || opts.agentId) {
const payload: Record<string, unknown> = {};
const statusParams: Record<string, string> = {
page: "1",
page_size: "1",
};
const apiFilters = this._buildFilters({
userId: opts.userId,
agentId: opts.agentId,
});
if (apiFilters) payload.filters = apiFilters;
await this._request("POST", "/v2/memories/", {
json: payload,
params: statusParams,
});
} else {
await this._request("GET", "/v1/entities/");
}
return { connected: true, backend: "platform", base_url: this.baseUrl };
} catch (e) {
return {
@@ -327,20 +335,4 @@ export class PlatformBackend implements Backend {
}
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
>;
}
}
+6 -29
View File
@@ -4,7 +4,6 @@
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 = `
@@ -43,7 +42,6 @@ export function sym(fancy: string, plain: string): string {
}
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 = ` ${TAGLINE}`;
@@ -77,29 +75,13 @@ export function printBanner(): void {
}
export function printSuccess(message: string): void {
if (isAgentMode()) return;
console.log(`${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)}`);
if (hint) {
console.error(` ${dim(hint)}`);
}
}
@@ -108,16 +90,15 @@ export function printWarning(message: string): void {
}
export function printInfo(message: string): void {
if (isAgentMode()) return;
console.error(`${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}=${val}`);
const label = key.replace(/_/g, " ").replace("id", "ID").trim();
parts.push(`${label}=${val}`);
}
}
if (parts.length > 0) {
@@ -138,14 +119,10 @@ export async function timedStatus<T>(
message: string,
fn: (ctx: TimedStatusContext) => Promise<T>,
): Promise<T> {
if (isAgentMode()) {
const ctx: TimedStatusContext = { successMsg: "", errorMsg: "" };
return fn(ctx);
}
const ctx: TimedStatusContext = { successMsg: "", errorMsg: "" };
const spinner = ora({
text: dim(message),
color: "yellow",
color: "magenta",
stream: process.stderr,
}).start();
const start = performance.now();
@@ -162,7 +139,7 @@ export async function timedStatus<T>(
const elapsed = ((performance.now() - start) / 1000).toFixed(2);
spinner.stop();
if (ctx.errorMsg) {
printError(`${ctx.errorMsg} (${elapsed}s)`);
console.error(`${error("✗ Error:")} ${ctx.errorMsg} (${elapsed}s)`);
}
throw err;
}
+7 -25
View File
@@ -11,17 +11,15 @@ import {
saveConfig,
setNestedValue,
} from "../config.js";
import { formatAgentEnvelope, formatJsonEnvelope } from "../output.js";
import { isAgentMode, setCurrentCommand } from "../state.js";
import { formatJsonEnvelope } from "../output.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({
if (opts.output === "json") {
formatJsonEnvelope({
command: "config show",
data: {
defaults: {
@@ -68,7 +66,6 @@ export function cmdConfigShow(opts: { output?: string } = {}): void {
}
export function cmdConfigGet(key: string): void {
setCurrentCommand("config get");
const config = loadConfig();
const value = getNestedValue(config, key);
@@ -76,35 +73,20 @@ export function cmdConfigGet(key: string): void {
printError(`Unknown config key: ${key}`);
} else {
// Redact secrets
const displayValue =
key.includes("api_key") || key.split(".").pop() === "key"
? redactKey(String(value))
: String(value);
if (isAgentMode()) {
formatAgentEnvelope({
command: "config get",
data: { key, value: displayValue },
});
if (key.includes("api_key") || key.split(".").pop() === "key") {
console.log(redactKey(String(value)));
} else {
console.log(displayValue);
console.log(String(value));
}
}
}
export function cmdConfigSet(key: string, value: string): void {
setCurrentCommand("config set");
const config = loadConfig();
if (setNestedValue(config, key, value)) {
saveConfig(config);
const display = key.includes("key") ? redactKey(value) : value;
if (isAgentMode()) {
formatAgentEnvelope({
command: "config set",
data: { key, value: display },
});
} else {
printSuccess(`${key} = ${display}`);
}
printSuccess(`${key} = ${display}`);
} else {
printError(`Unknown config key: ${key}`);
}
+19 -31
View File
@@ -12,8 +12,7 @@ import {
printSuccess,
timedStatus,
} from "../branding.js";
import { formatAgentEnvelope, formatJson } from "../output.js";
import { setCurrentCommand } from "../state.js";
import { formatJson } from "../output.js";
const { brand, accent, dim } = colors;
@@ -24,7 +23,6 @@ export async function cmdEntitiesList(
entityType: string,
opts: { output: string },
): Promise<void> {
setCurrentCommand("entity list");
if (!VALID_TYPES.has(entityType)) {
printError(
`Invalid entity type: ${entityType}. Use: ${[...VALID_TYPES].join(", ")}`,
@@ -47,13 +45,8 @@ export async function cmdEntitiesList(
}
const elapsed = (performance.now() - start) / 1000;
if (opts.output === "agent" || opts.output === "json") {
formatAgentEnvelope({
command: "entity list",
data: results,
count: results.length,
durationMs: Math.round(elapsed * 1000),
});
if (opts.output === "json") {
formatJson(results);
return;
}
@@ -93,12 +86,6 @@ export async function cmdEntitiesDelete(
output: string;
},
): Promise<void> {
setCurrentCommand("entity delete");
const { isAgentMode } = await import("../state.js");
if (isAgentMode() && !opts.force) {
printError("Destructive operation requires --force in agent mode.");
process.exit(1);
}
if (!opts.userId && !opts.agentId && !opts.appId && !opts.runId) {
printError(
"Provide at least one of --user-id, --agent-id, --app-id, --run-id.",
@@ -106,20 +93,27 @@ export async function cmdEntitiesDelete(
process.exit(1);
}
const scopeParts: string[] = [];
if (opts.userId) scopeParts.push(`user=${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 ${scope} and all its memories.`);
const scopeParts: string[] = [];
if (opts.userId) scopeParts.push(`user=${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}`);
printInfo(
`Would delete entity ${scopeParts.join(", ")} and all its memories.`,
);
printInfo("No changes made.");
return;
}
if (!opts.force) {
const scopeParts: string[] = [];
if (opts.userId) scopeParts.push(`user=${opts.userId}`);
if (opts.agentId) scopeParts.push(`agent=${opts.agentId}`);
if (opts.appId) scopeParts.push(`app=${opts.appId}`);
if (opts.runId) scopeParts.push(`run=${opts.runId}`);
const scope = scopeParts.join(", ");
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
@@ -154,13 +148,7 @@ export async function cmdEntitiesDelete(
}
const elapsed = (performance.now() - start) / 1000;
if (opts.output === "agent") {
formatAgentEnvelope({
command: "entity delete",
data: { deleted: true },
durationMs: Math.round(elapsed * 1000),
});
} else if (opts.output === "json") {
if (opts.output === "json") {
formatJson(result);
} else if (opts.output !== "quiet") {
printSuccess(`Entity deleted with all memories (${elapsed.toFixed(2)}s)`);
-169
View File
@@ -1,169 +0,0 @@
/**
* 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();
}
+13 -58
View File
@@ -2,7 +2,6 @@
* mem0 init — interactive setup wizard.
*/
import fs from "node:fs";
import readline from "node:readline";
import { PlatformBackend } from "../backend/platform.js";
import {
@@ -13,12 +12,10 @@ import {
printSuccess,
} from "../branding.js";
import {
CONFIG_FILE,
DEFAULT_BASE_URL,
type Mem0Config,
createDefaultConfig,
loadConfig,
redactKey,
saveConfig,
} from "../config.js";
@@ -196,10 +193,9 @@ 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,
"mem0-cli",
);
if (userId) config.defaults.userId = userId;
}
@@ -218,7 +214,7 @@ async function validatePlatform(config: Mem0Config): Promise<void> {
} 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.",
"Check your API key and try again.",
);
}
} catch (e) {
@@ -232,7 +228,6 @@ export async function runInit(
userId?: string;
email?: string;
code?: string;
force?: boolean;
} = {},
): Promise<void> {
const config = createDefaultConfig();
@@ -252,40 +247,6 @@ export async function runInit(
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();
@@ -307,8 +268,7 @@ export async function runInit(
config.platform.apiKey = apiKeyVal;
config.platform.baseUrl = baseUrl;
config.defaults.userId =
opts.userId || process.env.USER || process.env.USERNAME || "mem0-cli";
config.defaults.userId = opts.userId || "mem0-cli";
saveConfig(config);
console.log();
@@ -323,19 +283,6 @@ export async function runInit(
// ── 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;
@@ -346,6 +293,15 @@ export async function runInit(
return;
}
// Non-TTY without full flags: error with usage hint
if (!process.stdin.isTTY && (!opts.apiKey || !opts.userId)) {
printError(
"Non-interactive terminal detected and missing required flags.",
"Usage: mem0 init --api-key <key> --user-id <id>",
);
process.exit(1);
}
printBanner();
console.log();
printInfo("Welcome! Let's set up your mem0 CLI.\n");
@@ -385,8 +341,7 @@ export async function runInit(
config.platform.apiKey = apiKeyVal;
config.platform.baseUrl = baseUrl;
config.defaults.userId =
opts.userId || process.env.USER || process.env.USERNAME || "mem0-cli";
config.defaults.userId = opts.userId || "mem0-cli";
saveConfig(config);
console.log();
+27 -136
View File
@@ -13,7 +13,6 @@ import {
} from "../branding.js";
import {
formatAddResult,
formatAgentEnvelope,
formatJson,
formatJsonEnvelope,
formatMemoriesTable,
@@ -21,18 +20,6 @@ import {
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,
@@ -53,7 +40,6 @@ export async function cmdAdd(
output: string;
},
): Promise<void> {
setCurrentCommand("add");
let msgs: Record<string, unknown>[] | undefined;
let content = text;
@@ -78,8 +64,8 @@ export async function cmdAdd(
process.exit(1);
}
}
// Read from stdin only if stdin is an actual pipe or file redirect
else if (!content && _stdinIsPiped()) {
// Read from stdin if piped
else if (!content && !process.stdin.isTTY) {
content = fs.readFileSync(0, "utf-8").trim();
}
@@ -150,43 +136,8 @@ export async function cmdAdd(
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);
formatAddResult(result, opts.output);
return;
}
@@ -197,18 +148,14 @@ export async function cmdAdd(
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);
const results = Array.isArray(result)
? result
: ((result.results as unknown[]) ?? [result]);
const count = results.length;
printSuccess(
`Memory processed — ${count} memor${count === 1 ? "y" : "ies"} extracted`,
);
formatAddResult(result, opts.output);
}
export async function cmdSearch(
@@ -229,7 +176,6 @@ export async function cmdSearch(
output: string;
},
): Promise<void> {
setCurrentCommand("search");
if (!query) {
printError("No query provided. Pass a query argument or pipe via stdin.");
process.exit(1);
@@ -285,23 +231,6 @@ export async function cmdSearch(
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") {
@@ -338,7 +267,6 @@ export async function cmdGet(
memoryId: string,
opts: { output: string },
): Promise<void> {
setCurrentCommand("get");
let result: Record<string, unknown>;
try {
result = await timedStatus("Fetching memory...", async () => {
@@ -349,11 +277,7 @@ export async function cmdGet(
process.exit(1);
}
if (opts.output === "agent") {
formatAgentEnvelope({ command: "get", data: result });
} else {
formatSingleMemory(result, opts.output);
}
formatSingleMemory(result, opts.output);
}
export async function cmdList(
@@ -372,7 +296,6 @@ export async function cmdList(
output: string;
},
): Promise<void> {
setCurrentCommand("list");
if (opts.pageSize < 1) {
printError("--page-size must be >= 1.");
process.exit(1);
@@ -407,19 +330,12 @@ export async function cmdList(
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({
if (opts.output === "json") {
formatJsonEnvelope({
command: "list",
data: results,
scope,
count: results.length,
durationMs: Math.round(elapsed * 1000),
scope: { user_id: opts.userId, agent_id: opts.agentId },
});
} else if (opts.output === "table") {
if (results.length > 0) {
@@ -458,7 +374,6 @@ export async function cmdUpdate(
text: string | undefined,
opts: { metadata?: string; output: string },
): Promise<void> {
setCurrentCommand("update");
let meta: Record<string, unknown> | undefined;
if (opts.metadata) {
try {
@@ -481,13 +396,7 @@ export async function cmdUpdate(
}
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") {
if (opts.output === "json") {
formatJson(result);
} else if (opts.output !== "quiet") {
printSuccess(
@@ -501,7 +410,6 @@ export async function cmdDelete(
memoryId: string,
opts: { output: string; dryRun?: boolean; force?: boolean },
): Promise<void> {
setCurrentCommand("delete");
if (opts.dryRun) {
let mem: Record<string, unknown>;
try {
@@ -528,13 +436,7 @@ export async function cmdDelete(
}
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") {
if (opts.output === "json") {
formatJson(result);
} else if (opts.output !== "quiet") {
printSuccess(
@@ -556,15 +458,16 @@ export async function cmdDeleteAll(
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.dryRun) {
printInfo("Would delete ALL memories project-wide.");
printInfo(
"Run without --dry-run to see the actual count of deleted memories.",
);
printInfo("No changes made.");
return;
}
if (!opts.force) {
const readline = await import("node:readline");
@@ -606,13 +509,7 @@ export async function cmdDeleteAll(
}
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") {
if (opts.output === "json") {
formatJson(result);
} else if (opts.output !== "quiet") {
if (result.message) {
@@ -689,13 +586,7 @@ export async function cmdDeleteAll(
}
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") {
if (opts.output === "json") {
formatJson(result);
} else if (opts.output !== "quiet") {
if (result.message) {
+7 -17
View File
@@ -6,8 +6,7 @@ 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 { formatJsonEnvelope } from "../output.js";
import { CLI_VERSION } from "../version.js";
const { brand, dim, success, error: errorColor } = colors;
@@ -16,7 +15,6 @@ 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 {
@@ -31,13 +29,14 @@ export async function cmdStatus(
}
const elapsed = (performance.now() - start) / 1000;
if (opts.output === "agent" || opts.output === "json") {
formatAgentEnvelope({
if (opts.output === "json") {
formatJsonEnvelope({
command: "status",
data: {
connected: result.connected,
backend: result.backend ?? null,
base_url: result.base_url ?? null,
latency_ms: Math.round(elapsed * 1000),
},
durationMs: Math.round(elapsed * 1000),
});
@@ -57,15 +56,6 @@ export async function cmdStatus(
}
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`);
@@ -91,7 +81,6 @@ export async function cmdImport(
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");
@@ -136,12 +125,13 @@ export async function cmdImport(
const elapsed = (performance.now() - start) / 1000;
console.log(); // Clear progress line
if (opts.output === "agent" || opts.output === "json") {
formatAgentEnvelope({
if (opts.output === "json") {
formatJsonEnvelope({
command: "import",
data: {
added,
failed,
duration_s: Number.parseFloat(elapsed.toFixed(2)),
},
durationMs: Math.round(elapsed * 1000),
});
+1 -1
View File
@@ -36,7 +36,7 @@ const COMMAND_GROUPS: { panel: string; commands: string[] }[] = [
},
{
panel: "Management",
commands: ["init", "status", "import", "help", "entity", "event", "config"],
commands: ["init", "status", "import", "help", "entity", "config"],
},
];
+29 -109
View File
@@ -13,7 +13,6 @@ 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();
@@ -44,13 +43,6 @@ 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.
*
@@ -113,11 +105,6 @@ program
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)
@@ -127,7 +114,9 @@ program
program
.command("init")
.description("Interactive setup wizard for mem0 CLI.")
.description(
"Setup wizard for mem0 CLI. Supports email login (--email) or manual API key (--api-key).",
)
.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.")
@@ -135,7 +124,6 @@ program
"--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",
@@ -147,7 +135,6 @@ program
userId: opts.userId,
email: opts.email,
code: opts.code,
force: opts.force,
});
});
@@ -178,21 +165,17 @@ program
)
.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 });
await cmdAdd(backend, text, { ...ids, ...opts, enableGraph });
});
// ── Memory: search ────────────────────────────────────────────────────────
program
.command("search [query]")
.description(
"Query your memory store — semantic, keyword, or hybrid retrieval.",
)
.description("Search memories by semantic query.")
.option("-u, --user-id <id>", "Filter by user.")
.option("--agent-id <id>", "Filter by agent.")
.option("--app-id <id>", "Filter by app.")
@@ -232,11 +215,9 @@ program
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,
@@ -246,7 +227,7 @@ program
filterJson: opts.filter,
fields: opts.fields,
enableGraph,
output,
output: opts.output,
});
});
@@ -264,10 +245,8 @@ program
)
.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 });
await cmdGet(backend, memoryId, { output: opts.output });
});
// ── Memory: list ──────────────────────────────────────────────────────────
@@ -300,11 +279,9 @@ program
)
.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,
@@ -313,7 +290,7 @@ program
after: opts.after,
before: opts.before,
enableGraph,
output,
output: opts.output,
});
});
@@ -336,12 +313,10 @@ program
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,
output: opts.output,
});
});
@@ -377,8 +352,6 @@ program
].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.");
@@ -409,7 +382,7 @@ program
const { cmdDelete } = await import("./commands/memory.js");
const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
await cmdDelete(backend, memoryId, {
output,
output: opts.output,
dryRun: opts.dryRun,
force: opts.force,
});
@@ -436,7 +409,7 @@ program
dryRun: opts.dryRun,
all: opts.project,
...ids,
output,
output: opts.output,
});
return;
}
@@ -445,7 +418,7 @@ program
if (opts.entity) {
const { cmdEntitiesDelete } = await import("./commands/entities.js");
const backend = getBackendOnly(opts.apiKey, opts.baseUrl);
await cmdEntitiesDelete(backend, { ...opts, output });
await cmdEntitiesDelete(backend, opts);
return;
}
});
@@ -467,9 +440,7 @@ configCmd
)
.action(async (opts) => {
const { cmdConfigShow } = await import("./commands/config.js");
const isAgent = checkAgentMode();
const output = isAgent ? "agent" : opts.output;
cmdConfigShow({ output });
cmdConfigShow({ output: opts.output });
});
configCmd
@@ -481,7 +452,6 @@ configCmd
)
.action(async (key) => {
const { cmdConfigGet } = await import("./commands/config.js");
checkAgentMode();
cmdConfigGet(key);
});
@@ -494,7 +464,6 @@ configCmd
)
.action(async (key, value) => {
const { cmdConfigSet } = await import("./commands/config.js");
checkAgentMode();
cmdConfigSet(key, value);
});
@@ -518,10 +487,8 @@ entityCmd
)
.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 });
await cmdEntitiesList(backend, entityType, { output: opts.output });
});
entityCmd
@@ -542,54 +509,8 @@ entityCmd
)
.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 });
await cmdEntitiesDelete(backend, opts);
});
// ── Utility commands ──────────────────────────────────────────────────────
@@ -603,13 +524,11 @@ program
.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,
output: opts.output,
});
});
@@ -627,14 +546,12 @@ program
)
.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,
output: opts.output,
});
});
@@ -648,9 +565,7 @@ program
.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) {
if (opts.json) {
// Load spec from parent directory
const __dirname = path.dirname(fileURLToPath(import.meta.url));
const specPath = path.join(__dirname, "..", "..", "cli-spec.json");
@@ -680,9 +595,7 @@ program
console.log(
" add Add a memory from text, messages, file, or stdin",
);
console.log(
" search Query your memory store (semantic, keyword, hybrid)",
);
console.log(" search Search memories by semantic query");
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");
@@ -692,9 +605,6 @@ program
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();
@@ -706,6 +616,16 @@ program
}
});
// ── Version ───────────────────────────────────────────────────────────────
program
.command("version")
.description("Show version.")
.action(async () => {
const { cmdVersion } = await import("./commands/utils.js");
cmdVersion();
});
// ── Entrypoint ────────────────────────────────────────────────────────────
program.parse();
+3 -124
View File
@@ -169,26 +169,17 @@ export function formatAddResult(
}
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 eventId = ((r.event_id as string) ?? "").slice(0, 8);
const icon = accent(sym("⧗", "..."));
const parts = [
` ${icon} ${dim("Queued".padEnd(10))}`,
"Processing in background",
];
if (eventId) parts.push(dim(`(event ${eventId})`));
console.log(parts.join(" "));
if (eventId) {
console.log(` ${dim(` event_id: ${eventId}`)}`);
console.log(
` ${dim(` → Check status: mem0 event status ${eventId}`)}`,
);
}
continue;
}
@@ -247,118 +238,6 @@ export function formatJsonEnvelope(opts: {
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;
@@ -370,7 +249,7 @@ export function printResultSummary(opts: {
if (opts.scopeIds) {
const scopeParts = Object.entries(opts.scopeIds)
.filter(([, v]) => v)
.map(([k, v]) => `${k}=${v}`);
.map(([k, v]) => `${k.replace(/_/g, " ")}=${v}`);
if (scopeParts.length > 0) parts.push(scopeParts.join(", "));
}
if (opts.durationSecs !== undefined)
-23
View File
@@ -1,23 +0,0 @@
/**
* 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;
}
+7
View File
@@ -44,6 +44,13 @@ describe("CLI Integration — help and version", () => {
expect(result.stdout).toContain("search");
});
it("shows version with --version", () => {
const result = run(["--version"]);
expect(result.exitCode).toBe(0);
expect(result.stdout).toContain("0.1.0");
});
it("help --json produces valid JSON", () => {
const result = run(["help", "--json"]);
expect(result.exitCode).toBe(0);
+7 -220
View File
@@ -5,7 +5,6 @@
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;
@@ -32,7 +31,6 @@ import { afterEach } from "vitest";
afterEach(() => {
console.log = originalLog;
console.error = originalError;
setAgentMode(false);
});
describe("cmdAdd", () => {
@@ -86,59 +84,6 @@ describe("cmdAdd", () => {
});
});
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");
@@ -253,6 +198,13 @@ describe("cmdDeleteAll", () => {
});
});
describe("cmdVersion", () => {
it("shows version", async () => {
const { cmdVersion } = await import("../src/commands/utils.js");
cmdVersion();
expect(output).toContain("0.1.0");
});
});
describe("cmdEntitiesList", () => {
it("lists users in table mode", async () => {
@@ -267,168 +219,3 @@ describe("cmdEntitiesList", () => {
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");
});
});
-83
View File
@@ -10,7 +10,6 @@ import {
formatSingleMemory,
formatAddResult,
printResultSummary,
sanitizeAgentData,
} from "../src/output.js";
let output: string;
@@ -99,18 +98,6 @@ describe("formatAddResult", () => {
});
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", () => {
@@ -126,73 +113,3 @@ describe("printResultSummary", () => {
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();
});
});
-37
View File
@@ -71,42 +71,5 @@ export function createMockBackend(): Backend {
{ 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" },
},
],
}),
};
}
+5 -315
View File
@@ -1,12 +1,6 @@
# mem0 CLI (Python)
# mem0 CLI
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+**
The official command-line interface for [mem0](https://mem0.ai) — the memory layer for AI agents.
## Installation
@@ -24,326 +18,22 @@ 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
## Quick Start
```bash
# Interactive setup wizard
# Set up your configuration
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
# List all memories
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
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "mem0-cli"
version = "0.2.1"
version = "0.1.0"
description = "The official CLI for mem0 — the memory layer for AI agents"
readme = "README.md"
license = "Apache-2.0"
+1 -1
View File
@@ -1,3 +1,3 @@
"""mem0 CLI — the command-line interface for the mem0 memory layer."""
__version__ = "0.2.1"
__version__ = "0.1.0"
+15 -137
View File
@@ -3,8 +3,6 @@
from __future__ import annotations
import json as _json
import os
import stat as _stat_mod
import sys
from pathlib import Path
@@ -45,14 +43,7 @@ entity_app = typer.Typer(
no_args_is_help=True,
rich_markup_mode="rich",
)
event_app = typer.Typer(
name="event",
help="Inspect background processing events.",
no_args_is_help=True,
rich_markup_mode="rich",
)
# entity_app and event_app registered after Memory commands to control panel ordering
# entity_app registered after Memory commands to control panel ordering
# ── Helpers ───────────────────────────────────────────────────────────────
@@ -123,22 +114,9 @@ def _resolve_ids(
}
def _stdin_is_piped() -> bool:
"""Return True only when stdin is an actual pipe or file redirect — not a bare open fd."""
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 _read_stdin() -> str | None:
"""Read from stdin if it is an actual pipe or file redirect (not a TTY, not agent mode)."""
if _stdin_is_piped():
"""Read from stdin if it is piped (not a TTY)."""
if not sys.stdin.isatty():
return sys.stdin.read().strip() or None
return None
@@ -150,18 +128,7 @@ def _read_stdin() -> str | None:
def main_callback(
ctx: typer.Context,
version: bool = typer.Option(False, "--version", help="Show version and exit."),
json_agent: bool = typer.Option(
False,
"--json",
"--agent",
help="Output as JSON for agent/programmatic use.",
is_eager=False,
),
) -> None:
if json_agent:
from mem0_cli.state import set_agent_mode
set_agent_mode(True)
if version:
from mem0_cli.commands.utils import cmd_version
@@ -306,7 +273,7 @@ def search(
None, "--base-url", help="Override API base URL.", rich_help_panel="Connection"
),
) -> None:
"""Query your memory store — semantic, keyword, or hybrid retrieval.
"""Search memories by semantic query.
Examples:
mem0 search "preferences" --user-id alice
@@ -735,70 +702,6 @@ def entity_delete(
app.add_typer(entity_app, name="entity", rich_help_panel="Management")
# ── Event subcommands ─────────────────────────────────────────────────────
@event_app.command("list")
def event_list(
output: str = typer.Option(
"table", "--output", "-o", help="Output: table, json.", rich_help_panel="Output"
),
api_key: str | None = typer.Option(
None,
"--api-key",
help="Override API key.",
envvar="MEM0_API_KEY",
rich_help_panel="Connection",
),
base_url: str | None = typer.Option(
None, "--base-url", help="Override API base URL.", rich_help_panel="Connection"
),
) -> None:
"""List recent background processing events.
Examples:
mem0 event list
mem0 event list -o json
"""
from mem0_cli.commands.events_cmd import cmd_event_list
backend = _get_backend(api_key, base_url)
cmd_event_list(backend, output=output)
@event_app.command("status")
def event_status(
event_id: str = typer.Argument(..., help="Event ID to inspect."),
output: str = typer.Option(
"text", "--output", "-o", help="Output: text, json.", rich_help_panel="Output"
),
api_key: str | None = typer.Option(
None,
"--api-key",
help="Override API key.",
envvar="MEM0_API_KEY",
rich_help_panel="Connection",
),
base_url: str | None = typer.Option(
None, "--base-url", help="Override API base URL.", rich_help_panel="Connection"
),
) -> None:
"""Check the status of a specific background event.
Examples:
mem0 event status <event-id>
mem0 event status <event-id> -o json
"""
from mem0_cli.commands.events_cmd import cmd_event_status
backend = _get_backend(api_key, base_url)
cmd_event_status(backend, event_id, output=output)
# ── Event subgroup ──
app.add_typer(event_app, name="event", rich_help_panel="Management")
# ── Management commands ───────────────────────────────────────────────────
@@ -812,9 +715,6 @@ def init(
code: str | None = typer.Option(
None, "--code", help="Verification code (use with --email for non-interactive login)."
),
force: bool = typer.Option(
False, "--force", help="Overwrite existing config without confirmation."
),
) -> None:
"""Interactive setup wizard for mem0 CLI.
@@ -826,7 +726,7 @@ def init(
"""
from mem0_cli.commands.init_cmd import run_init
run_init(api_key=api_key, user_id=user_id, email=email, code=code, force=force)
run_init(api_key=api_key, user_id=user_id, email=email, code=code)
# (entity_app registered at module level, below sub-group definitions)
@@ -931,7 +831,7 @@ def _build_help_json() -> dict:
},
},
"search": {
"description": "Query your memory store — semantic, keyword, or hybrid retrieval.",
"description": "Search memories by semantic query.",
"usage": "mem0 search <query> [OPTIONS]",
"arguments": {"query": {"description": "Search query.", "required": False}},
"options": {
@@ -1035,24 +935,6 @@ def _build_help_json() -> dict:
"value": {"description": "Value to set.", "required": True},
},
},
"event": {
"description": "Inspect background processing events.",
"subcommands": {
"list": {
"description": "List recent background processing events.",
"usage": "mem0 event list [OPTIONS]",
"options": {"--output, -o": "Output format: table, json."},
},
"status": {
"description": "Check the status of a specific background event.",
"usage": "mem0 event status <event_id> [OPTIONS]",
"arguments": {
"event_id": {"description": "Event ID to inspect.", "required": True}
},
"options": {"--output, -o": "Output format: text, json."},
},
},
},
"entity": {
"description": "Manage entities.",
"subcommands": {
@@ -1104,7 +986,6 @@ def _build_help_json() -> dict:
"global_options": {
"--api-key": "Override API key (env: MEM0_API_KEY).",
"--base-url": "Override API base URL.",
"--json / --agent": "Output as JSON for agent/programmatic use.",
"--help": "Show help for a command.",
"--version": "Show version and exit.",
},
@@ -1134,7 +1015,7 @@ def help(
console.print("Usage: mem0 <command> [OPTIONS]\n")
console.print("[bold]Commands:[/]")
console.print(" add Add a memory from text, messages, file, or stdin")
console.print(" search Query your memory store (semantic, keyword, hybrid)")
console.print(" search Search memories by semantic query")
console.print(" get Get a specific memory by ID")
console.print(" list List memories with optional filters")
console.print(" update Update a memory's text or metadata")
@@ -1142,7 +1023,6 @@ def help(
console.print(" import Import memories from a JSON file")
console.print(" config Manage configuration (show, get, set)")
console.print(" entity Manage entities (list, delete)")
console.print(" event Inspect background events (list, status)")
console.print(" init Interactive setup wizard")
console.print(" status Check connectivity and authentication")
console.print()
@@ -1151,6 +1031,14 @@ def help(
console.print()
@app.command(rich_help_panel="Utility")
def version() -> None:
"""Show version and exit."""
from mem0_cli.commands.utils import cmd_version
cmd_version()
# Register config subgroup here so it appears after help in Management panel
app.add_typer(config_app, name="config", rich_help_panel="Management")
@@ -1159,14 +1047,4 @@ app.add_typer(config_app, name="config", rich_help_panel="Management")
def main() -> None:
import sys
# Allow --json/--agent anywhere in the command line (not just before subcommand).
_json_flags = {"--json", "--agent"}
if any(a in _json_flags for a in sys.argv[1:]):
from mem0_cli.state import set_agent_mode
set_agent_mode(True)
sys.argv = [sys.argv[0]] + [a for a in sys.argv[1:] if a not in _json_flags]
app()
-6
View File
@@ -104,12 +104,6 @@ class Backend(ABC):
@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."""
+23 -23
View File
@@ -265,21 +265,18 @@ class PlatformBackend(Backend):
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:
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
if not params:
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
return self._request("DELETE", "/v1/entities/", params=params)
def status(
self,
@@ -287,9 +284,19 @@ class PlatformBackend(Backend):
user_id: str | None = None,
agent_id: str | None = None,
) -> dict[str, Any]:
"""Check connectivity using the ping endpoint."""
"""Check connectivity by making a lightweight API call."""
try:
self._request("GET", "/v1/ping/")
# If entity IDs are available, validate with a minimal memories list
if user_id or agent_id:
payload: dict[str, Any] = {}
params = {"page": "1", "page_size": "1"}
api_filters = self._build_filters(user_id=user_id, agent_id=agent_id)
if api_filters:
payload["filters"] = api_filters
self._request("POST", "/v2/memories/", json=payload, params=params)
else:
# No entity IDs — use entities endpoint to validate API key
self._request("GET", "/v1/entities/")
return {"connected": True, "backend": "platform", "base_url": self.base_url}
except Exception as e:
return {"connected": False, "backend": "platform", "error": str(e)}
@@ -304,13 +311,6 @@ class PlatformBackend(Backend):
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
+2 -48
View File
@@ -43,10 +43,6 @@ def _sym(fancy: str, plain: str) -> str:
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}")
@@ -65,28 +61,11 @@ def print_banner(console: Console) -> None:
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:
@@ -94,19 +73,11 @@ def print_error(console: Console, message: str, hint: str | None = None) -> None
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}")
@@ -118,9 +89,7 @@ def timed_status(console: Console, message: str):
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):
@@ -128,13 +97,6 @@ def timed_status(console: Console, message: str):
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):
@@ -143,11 +105,6 @@ def timed_status(console: Console, message: str):
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
@@ -157,14 +114,11 @@ def timed_status(console: Console, message: str):
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}")
label = key.replace("_", " ").replace("id", "ID").strip()
parts.append(f"{label}={val}")
if parts:
scope_str = ", ".join(parts)
console.print(f" [{DIM_COLOR}]Scope: {scope_str}[/]")
+9 -33
View File
@@ -20,17 +20,12 @@ 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"
from mem0_cli.output import format_json_envelope
config = load_config()
if output in ("json", "agent"):
format_agent_envelope(
if output == "json":
format_json_envelope(
console,
command="config show",
data={
@@ -89,44 +84,25 @@ def cmd_config_show(*, output: str = "text") -> None:
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)
# Redact secrets
if "api_key" in key or "key" in key.split(".")[-1:]:
console.print(redact_key(str(value)))
else:
console.print(str(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}")
print_success(console, f"{key} = {display}")
else:
print_error(err_console, f"Unknown config key: {key}")
+25 -56
View File
@@ -18,7 +18,7 @@ from mem0_cli.branding import (
print_success,
timed_status,
)
from mem0_cli.output import format_agent_envelope, format_json
from mem0_cli.output import format_json
console = Console()
err_console = Console(stderr=True)
@@ -26,11 +26,6 @@ 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(
@@ -47,16 +42,6 @@ def cmd_entities_list(backend: Backend, entity_type: str, *, output: str) -> Non
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
@@ -92,39 +77,41 @@ def cmd_entities_delete(
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.")
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)
print_info(console, f"Would delete entity {scope} and all its memories.")
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)
confirm = typer.confirm(
f"\n \u26a0 Delete entity {scope_str} AND all its memories? This cannot be undone."
f"\n \u26a0 Delete entity {scope} AND all its memories? This cannot be undone."
)
if not confirm:
print_info(console, "Cancelled.")
@@ -144,25 +131,7 @@ def cmd_entities_delete(
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":
if output == "json":
format_json(console, result)
elif output != "quiet":
print_success(console, f"Entity deleted with all memories ({_elapsed:.2f}s)")
@@ -1,176 +0,0 @@
"""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()
+14 -45
View File
@@ -19,7 +19,7 @@ from mem0_cli.branding import (
print_info,
print_success,
)
from mem0_cli.config import CONFIG_FILE, DEFAULT_BASE_URL, Mem0Config, load_config, save_config
from mem0_cli.config import DEFAULT_BASE_URL, Mem0Config, save_config
console = Console()
err_console = Console(stderr=True)
@@ -169,7 +169,6 @@ def run_init(
user_id: str | None = None,
email: str | None = None,
code: str | None = None,
force: bool = False,
) -> None:
"""Interactive setup wizard for mem0 CLI.
@@ -185,29 +184,6 @@ def run_init(
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:
@@ -229,9 +205,7 @@ def run_init(
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"
)
config.defaults.user_id = user_id or "mem0-cli"
save_config(config)
@@ -246,17 +220,6 @@ def run_init(
# ── 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
@@ -266,6 +229,15 @@ def run_init(
print_success(console, "Configuration saved to ~/.mem0/config.json")
return
# Non-TTY without full flags -> error
if not sys.stdin.isatty() and (not api_key or not user_id):
print_error(
err_console,
"Non-interactive terminal detected and required flags missing.",
hint="Run: mem0 init --api-key <key> --user-id <id>",
)
raise typer.Exit(1)
print_banner(console)
console.print()
print_info(console, "Welcome! Let's set up your mem0 CLI.\n")
@@ -299,9 +271,7 @@ def run_init(
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"
)
config.defaults.user_id = user_id or "mem0-cli"
save_config(config)
@@ -361,10 +331,9 @@ def _setup_defaults(config: Mem0Config) -> None:
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,
default="mem0-cli",
)
if user_id:
config.defaults.user_id = user_id
@@ -388,7 +357,7 @@ def _validate_platform(config: Mem0Config) -> None:
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.",
hint="Check your API key and try again.",
)
except Exception as e:
print_error(err_console, f"Connection test failed: {e}")
+23 -188
View File
@@ -3,8 +3,6 @@
from __future__ import annotations
import json
import os
import stat as _stat_mod
import sys
import time as _time
from pathlib import Path
@@ -22,7 +20,6 @@ from mem0_cli.branding import (
)
from mem0_cli.output import (
format_add_result,
format_agent_envelope,
format_json,
format_memories_table,
format_memories_text,
@@ -34,19 +31,6 @@ 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,
@@ -66,11 +50,6 @@ def cmd_add(
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
@@ -91,8 +70,8 @@ def cmd_add(
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():
# Read from stdin if no text and stdin is piped
elif not content and not sys.stdin.isatty():
content = sys.stdin.read().strip()
if not content and not msgs:
@@ -154,61 +133,18 @@ def cmd_add(
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"
)
# Count results
results = result if isinstance(result, list) else result.get("results", [result])
count = len(results) if results else 0
print_success(
console, f"Memory processed — {count} memor{'y' if count == 1 else 'ies'} extracted"
)
format_add_result(console, result, output)
@@ -230,11 +166,6 @@ def cmd_search(
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:
@@ -279,27 +210,6 @@ def cmd_search(
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":
@@ -326,11 +236,6 @@ def cmd_search(
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)
@@ -338,10 +243,7 @@ def cmd_get(backend: Backend, memory_id: str, *, output: str) -> None:
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)
format_single_memory(console, result, output)
def cmd_list(
@@ -360,11 +262,6 @@ def cmd_list(
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)
@@ -395,24 +292,15 @@ def cmd_list(
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(
if output == "json":
from mem0_cli.output import format_json_envelope
format_json_envelope(
console,
command="list",
data=results,
scope=scope or None,
count=len(results),
duration_ms=int(_elapsed * 1000),
scope={k: v for k, v in {"user_id": user_id, "agent_id": agent_id}.items() if v},
)
elif output == "table":
if results:
@@ -455,11 +343,6 @@ def cmd_update(
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:
@@ -477,14 +360,7 @@ def cmd_update(
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":
if output == "json":
format_json(console, result)
elif output != "quiet":
print_success(console, f"Memory {memory_id[:8]} updated ({_elapsed:.2f}s)")
@@ -499,11 +375,6 @@ def cmd_delete(
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:
@@ -524,14 +395,7 @@ def cmd_delete(
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":
if output == "json":
format_json(console, result)
elif output != "quiet":
print_success(console, f"Memory {memory_id[:8]} deleted ({_elapsed:.2f}s)")
@@ -550,17 +414,13 @@ def cmd_delete_all(
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 dry_run:
print_info(console, "Would delete ALL memories project-wide.")
print_info(console, "Run without --dry-run to see the actual count.")
print_info(console, "No changes made (dry run).")
return
if not force:
confirm = typer.confirm(
@@ -585,14 +445,7 @@ def cmd_delete_all(
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":
if output == "json":
format_json(console, result)
elif output != "quiet":
if isinstance(result, dict) and "message" in result:
@@ -650,25 +503,7 @@ def cmd_delete_all(
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":
if output == "json":
format_json(console, result)
elif output != "quiet":
if isinstance(result, dict) and "message" in result:
+8 -27
View File
@@ -35,26 +35,22 @@ def cmd_status(
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"
from mem0_cli.output import format_json_envelope
_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(
if output == "json":
format_json_envelope(
console,
command="status",
data={
"connected": result.get("connected", False),
"backend": result.get("backend", "?"),
"base_url": result.get("base_url", ""),
"latency_ms": int(_elapsed * 1000),
},
duration_ms=int(_elapsed * 1000),
)
@@ -71,14 +67,6 @@ def cmd_status(
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)
@@ -108,12 +96,7 @@ def cmd_import(
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"
from mem0_cli.output import format_json_envelope
try:
data = json.loads(Path(file_path).read_text())
@@ -146,13 +129,11 @@ def cmd_import(
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(
if output == "json":
format_json_envelope(
console,
command="import",
data={"added": added, "failed": failed},
scope=scope or None,
data={"added": added, "failed": failed, "duration_s": round(_elapsed, 2)},
duration_ms=int(_elapsed * 1000),
)
return
+4 -105
View File
@@ -155,23 +155,16 @@ def format_add_result(console: Console, result: dict | list, output: str = "text
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)
event_id = r.get("event_id", "")[:8]
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}[/]")
parts.append(f"[{DIM_COLOR}](event {event_id})[/]")
console.print(" ".join(parts))
continue
event = r.get("event", "ADD")
@@ -232,100 +225,6 @@ def format_json_envelope(
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,
@@ -338,7 +237,7 @@ def print_result_summary(
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]
scope_parts = [f"{k.replace('_', ' ')}={v}" for k, v in scope_ids.items() if v]
if scope_parts:
parts.append(", ".join(scope_parts))
if duration_secs is not None:
-24
View File
@@ -1,24 +0,0 @@
"""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
-37
View File
@@ -96,43 +96,6 @@ def mock_backend():
{"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
+5
View File
@@ -83,6 +83,11 @@ class TestCLIIntegration:
assert "add" in result.stdout
assert "search" in result.stdout
def test_version_flag(self):
result = _run(["--version"])
assert result.returncode == 0
assert "0.1.0" in result.stdout
def test_add_help(self):
result = _run(["add", "--help"])
assert result.returncode == 0
+52 -487
View File
@@ -3,7 +3,6 @@
from __future__ import annotations
import json
import typing
from io import StringIO
from unittest.mock import patch
@@ -17,7 +16,6 @@ from mem0_cli.commands.config_cmd import (
cmd_config_show,
)
from mem0_cli.commands.entities import cmd_entities_delete, cmd_entities_list
from mem0_cli.commands.events_cmd import cmd_event_list, cmd_event_status
from mem0_cli.commands.memory import (
cmd_add,
cmd_delete,
@@ -30,6 +28,7 @@ from mem0_cli.commands.memory import (
from mem0_cli.commands.utils import (
cmd_import,
cmd_status,
cmd_version,
)
@@ -177,28 +176,30 @@ class TestAddCommand:
def test_add_no_content_exits(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
# Patch stdin.isatty to return True so it doesn't try to read stdin
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
patch("mem0_cli.commands.memory._stdin_is_piped", return_value=False),
pytest.raises((SystemExit, ClickExit)),
patch("mem0_cli.commands.memory.sys") as mock_sys,
):
cmd_add(
mock_backend,
None,
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
output="text",
)
mock_sys.stdin.isatty.return_value = True
with pytest.raises((SystemExit, ClickExit)):
cmd_add(
mock_backend,
None,
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
output="text",
)
def test_add_invalid_metadata_json(self, mock_backend):
console, _buf = _make_console()
@@ -278,66 +279,6 @@ class TestAddCommand:
mock_backend.add.assert_called_once()
class TestAddDeduplicatesPending:
"""Ensure duplicate PENDING entries with the same event_id are collapsed."""
DUPLICATE_PENDING: typing.ClassVar[dict] = {
"results": [
{"status": "PENDING", "event_id": "evt-dup"},
{"status": "PENDING", "event_id": "evt-dup"},
]
}
def _run_add(self, mock_backend, output):
mock_backend.add.return_value = self.DUPLICATE_PENDING
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_add(
mock_backend,
"test",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
output=output,
)
return buf.getvalue()
def test_text_shows_one_pending(self, mock_backend):
raw = self._run_add(mock_backend, "text")
assert raw.count("Queued") == 1
def test_json_shows_one_pending(self, mock_backend):
raw = self._run_add(mock_backend, "json")
data = json.loads(raw)
results = data.get("results", data)
pending = [r for r in results if r.get("status") == "PENDING"]
assert len(pending) == 1
def test_agent_shows_one_pending(self, mock_backend):
from mem0_cli.state import set_agent_mode
set_agent_mode(True)
try:
raw = self._run_add(mock_backend, "agent")
finally:
set_agent_mode(False)
data = json.loads(raw)
assert data["count"] == 1
assert len(data["data"]) == 1
class TestSearchCommand:
def test_search_text(self, mock_backend):
console, buf = _make_console()
@@ -677,6 +618,28 @@ class TestDeleteAllCommand:
run_id="*",
)
def test_delete_all_project_wide_dry_run(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_delete_all(
mock_backend,
force=True,
all_=True,
dry_run=True,
user_id=None,
agent_id=None,
app_id=None,
run_id=None,
output="text",
)
output = buf.getvalue()
assert "project-wide" in output.lower()
mock_backend.delete.assert_not_called()
def test_delete_all_project_wide_async_response(self, mock_backend):
mock_backend.delete.return_value = {"message": "Memories deletion started..."}
console, buf = _make_console()
@@ -741,6 +704,15 @@ class TestStatusCommand:
assert '"status"' in output
class TestVersionCommand:
def test_version(self):
console, buf = _make_console()
with patch("mem0_cli.commands.utils.console", console):
cmd_version()
output = buf.getvalue()
assert "0.1.0" in output
class TestImportCommand:
def test_import_json(self, mock_backend, tmp_path):
file_path = tmp_path / "import.json"
@@ -916,28 +888,6 @@ class TestEntitiesDeleteCommand:
output = buf.getvalue()
assert "deleted" in output.lower()
def test_delete_entity_agent_id(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.entities.console", console),
patch("mem0_cli.commands.entities.err_console", err_console),
):
cmd_entities_delete(
mock_backend,
user_id=None,
agent_id="bot1",
app_id=None,
run_id=None,
force=True,
output="text",
)
mock_backend.delete_entities.assert_called_once_with(
user_id=None, agent_id="bot1", app_id=None, run_id=None
)
output = buf.getvalue()
assert "deleted" in output.lower()
def test_delete_entity_no_id_exits(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
@@ -1074,388 +1024,3 @@ class TestEnableGraph:
)
call_kwargs = mock_backend.list_memories.call_args
assert call_kwargs.kwargs.get("enable_graph") is True
class TestEventCommands:
def test_event_list_table(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.events_cmd.console", console),
patch("mem0_cli.commands.events_cmd.err_console", err_console),
):
cmd_event_list(mock_backend, output="table")
out = buf.getvalue()
assert "evt-abc-" in out
assert "ADD" in out
assert "SUCCEEDED" in out
def test_event_list_json(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.events_cmd.console", console),
patch("mem0_cli.commands.events_cmd.err_console", err_console),
):
cmd_event_list(mock_backend, output="json")
out = buf.getvalue()
assert "evt-abc-123-def-456" in out
assert "evt-def-456-ghi-789" in out
def test_event_list_empty(self, mock_backend):
mock_backend.list_events.return_value = []
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.events_cmd.console", console),
patch("mem0_cli.commands.events_cmd.err_console", err_console),
):
cmd_event_list(mock_backend, output="table")
out = buf.getvalue()
assert "No events" in out
def test_event_status_text(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.events_cmd.console", console),
patch("mem0_cli.commands.events_cmd.err_console", err_console),
):
cmd_event_status(mock_backend, "evt-abc-123-def-456", output="text")
out = buf.getvalue()
assert "evt-abc-123-def-456" in out
assert "SUCCEEDED" in out
def test_event_status_json(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.events_cmd.console", console),
patch("mem0_cli.commands.events_cmd.err_console", err_console),
):
cmd_event_status(mock_backend, "evt-abc-123-def-456", output="json")
out = buf.getvalue()
assert "evt-abc-123-def-456" in out
assert "ADD" in out
class TestAgentMode:
"""Tests for --json/--agent mode: structured JSON envelope output."""
def setup_method(self):
"""Enable agent mode before each test."""
from mem0_cli.state import set_agent_mode
set_agent_mode(True)
def teardown_method(self):
"""Reset agent mode after each test."""
from mem0_cli.state import set_agent_mode
set_agent_mode(False)
# ── add ──────────────────────────────────────────────────────────────────
def test_add_agent_mode_envelope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_add(
mock_backend,
"I prefer dark mode",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
output="text", # will be overridden to "agent"
)
raw = buf.getvalue()
data = json.loads(raw)
assert data["status"] == "success"
assert data["command"] == "add"
assert "data" in data
assert isinstance(data["data"], list)
assert data["count"] == 1
assert set(data["data"][0].keys()) == {"id", "memory", "event"}
def test_add_agent_mode_scope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_add(
mock_backend,
"test",
user_id="bob",
agent_id="agent1",
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
output="text",
)
data = json.loads(buf.getvalue())
assert data["scope"]["user_id"] == "bob"
assert data["scope"]["agent_id"] == "agent1"
# ── search ───────────────────────────────────────────────────────────────
def test_search_agent_mode_envelope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_search(
mock_backend,
"dark mode",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
top_k=10,
threshold=0.3,
rerank=False,
keyword=False,
filter_json=None,
fields=None,
output="text",
)
data = json.loads(buf.getvalue())
assert data["status"] == "success"
assert data["command"] == "search"
assert isinstance(data["data"], list)
assert data["count"] == 2
assert "duration_ms" in data
assert set(data["data"][0].keys()) == {"id", "memory", "score", "created_at", "categories"}
# ── list ─────────────────────────────────────────────────────────────────
def test_list_agent_mode_envelope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_list(
mock_backend,
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
page=1,
page_size=100,
category=None,
after=None,
before=None,
output="table", # will be overridden to "agent"
)
data = json.loads(buf.getvalue())
assert data["status"] == "success"
assert data["command"] == "list"
assert isinstance(data["data"], list)
assert data["count"] == 2
assert data["scope"]["user_id"] == "alice"
assert set(data["data"][0].keys()) == {"id", "memory", "created_at", "categories"}
# ── get ──────────────────────────────────────────────────────────────────
def test_get_agent_mode_envelope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_get(mock_backend, "abc-123-def-456", output="text")
data = json.loads(buf.getvalue())
assert data["status"] == "success"
assert data["command"] == "get"
assert isinstance(data["data"], dict)
assert data["data"]["id"] == "abc-123-def-456"
assert "memory" in data["data"]
assert set(data["data"].keys()) >= {"id", "memory"}
# ── update ───────────────────────────────────────────────────────────────
def test_update_agent_mode_envelope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_update(mock_backend, "abc-123", "Updated content", metadata=None, output="text")
data = json.loads(buf.getvalue())
assert data["status"] == "success"
assert data["command"] == "update"
assert isinstance(data["data"], dict)
assert "memory" in data["data"]
assert "duration_ms" in data
# ── delete ───────────────────────────────────────────────────────────────
def test_delete_agent_mode_envelope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_delete(mock_backend, "abc-123-def-456", output="text")
data = json.loads(buf.getvalue())
assert data["status"] == "success"
assert data["command"] == "delete"
assert data["data"]["id"] == "abc-123-def-456"
assert data["data"]["deleted"] is True
assert "duration_ms" in data
# ── event list ───────────────────────────────────────────────────────────
def test_event_list_agent_mode_envelope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.events_cmd.console", console),
patch("mem0_cli.commands.events_cmd.err_console", err_console),
):
cmd_event_list(mock_backend, output="table")
data = json.loads(buf.getvalue())
assert data["status"] == "success"
assert data["command"] == "event list"
assert isinstance(data["data"], list)
assert data["count"] == 2
assert "duration_ms" in data
assert set(data["data"][0].keys()) == {
"id",
"event_type",
"status",
"latency",
"created_at",
}
# ── event status ─────────────────────────────────────────────────────────
def test_event_status_agent_mode_envelope(self, mock_backend):
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.events_cmd.console", console),
patch("mem0_cli.commands.events_cmd.err_console", err_console),
):
cmd_event_status(mock_backend, "evt-abc-123-def-456", output="text")
data = json.loads(buf.getvalue())
assert data["status"] == "success"
assert data["command"] == "event status"
assert isinstance(data["data"], dict)
assert data["data"]["id"] == "evt-abc-123-def-456"
assert "duration_ms" in data
assert set(data["data"]["results"][0].keys()) == {"id", "event", "user_id", "memory"}
assert "data" not in data["data"]["results"][0]
# ── error handling ───────────────────────────────────────────────────────
def test_error_in_agent_mode_produces_json_to_stdout(self, mock_backend):
"""Errors in agent mode must emit a JSON envelope to stdout, not stderr."""
from io import StringIO
mock_backend.get.side_effect = Exception("Memory not found")
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
captured_stdout = StringIO()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
patch("sys.stdout", captured_stdout),
pytest.raises((SystemExit, ClickExit)),
):
cmd_get(mock_backend, "bad-id", output="text")
stdout_output = captured_stdout.getvalue()
# The error JSON envelope must be on stdout
error_data = json.loads(stdout_output)
assert error_data["status"] == "error"
assert "error" in error_data
assert error_data["data"] is None
def test_branding_suppressed_in_agent_mode(self, mock_backend):
"""Scope line and success message must be absent in agent mode output."""
console, buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_add(
mock_backend,
"branding test",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
output="text",
)
output = buf.getvalue()
# Must be valid JSON only — no human-readable branding
data = json.loads(output)
assert data["status"] == "success"
# "Scope:" and "Memory processed" must NOT appear in the raw output
assert "Scope:" not in output
assert "Memory processed" not in output
assert "spinner" not in output.lower()
def test_no_spinner_in_agent_mode(self, mock_backend):
"""timed_status must not emit spinner output in agent mode."""
err_buf = StringIO()
err_console_buf = Console(file=err_buf, force_terminal=False, no_color=True, width=120)
console, _buf = _make_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console_buf),
):
cmd_search(
mock_backend,
"query",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
top_k=5,
threshold=0.3,
rerank=False,
keyword=False,
filter_json=None,
fields=None,
output="text",
)
# The err_buf captures what would have been spinner/timing noise
# In agent mode it should be empty (no status lines printed)
err_output = err_buf.getvalue()
assert "Searching" not in err_output
-146
View File
@@ -11,7 +11,6 @@ from mem0_cli.output import (
format_memories_table,
format_memories_text,
format_single_memory,
sanitize_agent_data,
)
@@ -130,153 +129,8 @@ class TestAddResult:
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
@@ -82,7 +82,7 @@ new_project = client.project.create(
### Update Project Settings
Modify project configuration including custom instructions, categories, graph settings, and language preferences:
Modify project configuration including custom instructions, categories, and graph settings:
```python
# Update project with custom categories
@@ -101,9 +101,6 @@ 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="...",
@@ -111,8 +108,7 @@ client.project.update(
{"personal_info": "User personal information and preferences"},
{"work_context": "Professional context and work-related information"}
],
enable_graph=True,
multilingual=True
enable_graph=True
)
```
-24
View File
@@ -8,21 +8,6 @@ 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:**
@@ -832,15 +817,6 @@ 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:**
@@ -24,7 +24,6 @@ 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
@@ -53,7 +52,6 @@ const config = {
provider: "gemini",
config: {
model: "gemini-2.0-flash-001",
apiKey: process.env.GOOGLE_API_KEY || '',
temperature: 0.1
}
}
-14
View File
@@ -430,20 +430,6 @@
}
]
},
{
"tab": "Agent Plugins",
"groups": [
{
"group": "Coding Agents",
"icon": "terminal",
"pages": [
"integrations/claude-code",
"integrations/cursor",
"integrations/codex"
]
}
]
},
{
"tab": "API Reference",
"groups": [
-21
View File
@@ -381,25 +381,4 @@ 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>
-156
View File
@@ -1,156 +0,0 @@
---
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>
-212
View File
@@ -1,212 +0,0 @@
---
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>
-148
View File
@@ -1,148 +0,0 @@
---
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>
-4
View File
@@ -3686,10 +3686,6 @@
"type": "object"
},
"description": "List of custom categories to be used for memory categorization."
},
"multilingual": {
"type": "boolean",
"description": "Whether to use the input language for memory storage and retrieval."
}
}
}
+16 -88
View File
@@ -1,6 +1,6 @@
---
title: CLI
description: "Manage memories from your terminal — built for both humans and AI agents."
description: "Manage memories from your terminal. Available for Node.js and Python."
icon: "terminal"
iconType: "solid"
---
@@ -9,10 +9,6 @@ The mem0 CLI lets you add, search, list, update, and delete memories directly fr
Both implementations provide identical behavior — same commands, same options, same output formats.
<Tip>
**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. Drop it into any agent tool loop with zero extra parsing.
</Tip>
## Installation
<CodeGroup>
@@ -78,23 +74,8 @@ 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 will ask for confirmation before overwriting. Use `--force` to skip the prompt (useful in CI/CD pipelines).
```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.
@@ -221,32 +202,16 @@ mem0 config get api_key # Get a specific value
mem0 config set user_id bob # Set a value
```
### `mem0 entity`
### `mem0 entities`
List or delete entities (users, agents, apps, runs).
List or delete entities (users, agents, apps).
```bash
mem0 entity list users
mem0 entity list agents --output json
mem0 entity delete --user-id alice --force
mem0 entities list
mem0 entities list --type agent --output json
mem0 entities 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.
@@ -273,7 +238,6 @@ All commands support the `--output` flag to control how results are displayed:
| `json` | Structured JSON, suitable for piping to `jq` or consumption by AI agents |
| `table` | Tabular format (default for `list`) |
| `quiet` | Minimal output — just IDs or status codes |
| `agent` | Structured JSON envelope with sanitized fields — set automatically by `--json`/`--agent` |
Example with JSON output:
@@ -283,54 +247,20 @@ mem0 search "user preferences" --user-id alice --output json | jq '.data.results
## Use with AI agents
The CLI is purpose-built for use inside AI agent tool loops. Pass `--agent` or `--json` as a global flag on **any** command to activate agent mode:
The CLI is designed to be used by AI agents and automation tools. Two features make this straightforward:
- Every command outputs a consistent JSON envelope: `{"status", "command", "duration_ms", "scope", "count", "data"}`
- The `data` field contains only the fields that matter — IDs, memory text, scores, categories. Noisy API fields are stripped.
- All human-readable output is suppressed: no spinners, no colors, no banners.
- Errors are returned as JSON to stdout with a non-zero exit code, so your agent can catch them the same way as successes.
- **`--output json`** returns structured data that agents can parse directly
- **`mem0 help --json`** returns the full command tree as JSON, so agents can discover available commands programmatically
```bash
# Drop --agent on any command and get clean, parseable JSON
mem0 --agent search "response preferences" --user-id user-42
mem0 --agent add "User prefers concise responses" --user-id user-42
mem0 --agent list --user-id user-42
mem0 --agent delete --all --user-id user-42 --force
# Agent adds a memory
mem0 add "User prefers concise responses" --user-id user-42 --output quiet
# Agent searches memories and parses results
mem0 search "response preferences" --user-id user-42 --output json
```
<CodeGroup>
```json Output: mem0 --agent search "dark mode" --user-id alice
{
"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"] },
{ "id": "def-456", "memory": "User uses vim keybindings", "score": 0.81, "created_at": "2026-01-10", "categories": ["tools"] }
]
}
```
```json Output: mem0 --agent add "Likes concise answers" --user-id alice
{
"status": "success",
"command": "add",
"duration_ms": 210,
"data": [
{ "id": "ghi-789", "memory": "Likes concise answers", "event": "ADD" }
]
}
```
</CodeGroup>
Two other agent-friendly features:
- **`--output json`** returns structured data without sanitization — useful when you want the full raw API response
- **`mem0 help --json`** returns the complete command tree as JSON, so agents can self-discover available commands and options
For non-interactive environments (CI, agent runtimes), set credentials via `mem0 init --api-key m0-xxx --user-id alice --force` or the `MEM0_API_KEY` environment variable.
For non-interactive environments (CI, agent runtimes), use `mem0 init --api-key --user-id` or set the `MEM0_API_KEY` environment variable to skip interactive prompts.
## Environment variables
@@ -348,12 +278,10 @@ Environment variables take precedence over values in the config file, which take
## Global flags
These flags are available on all commands:
These flags are available on all commands that interact with the API:
| 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 |
-8
View File
@@ -1,8 +0,0 @@
{
"mcpServers": {
"mem0": {
"url": "https://mcp.mem0.ai/mcp/",
"bearer_token_env_var": "MEM0_API_KEY"
}
}
}
-35
View File
@@ -1,35 +0,0 @@
{
"name": "mem0",
"version": "0.1.0",
"description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search to Codex workflows using the Mem0 Platform MCP server.",
"author": {
"name": "Mem0",
"email": "support@mem0.ai"
},
"homepage": "https://mem0.ai",
"repository": "https://github.com/mem0ai/mem0",
"license": "Apache-2.0",
"skills": "./skills/",
"mcpServers": "./.codex-mcp.json",
"interface": {
"displayName": "Mem0",
"shortDescription": "Persistent memory layer for AI coding workflows",
"longDescription": "Mem0 adds long-term memory to Codex. Store decisions, user preferences, project context, and session state across conversations. Memories are automatically retrieved via semantic search so Codex always has the right context.",
"developerName": "Mem0",
"category": "Productivity",
"capabilities": [
"Read",
"Write"
],
"websiteURL": "https://mem0.ai",
"privacyPolicyURL": "https://mem0.ai/privacy",
"termsOfServiceURL": "https://mem0.ai/terms",
"defaultPrompt": [
"Search my memories for recent project decisions",
"Remember that I prefer TypeScript over JavaScript",
"What do you know about my coding preferences?"
],
"brandColor": "#FBBF24",
"logo": "./logo.svg"
}
}
+8 -69
View File
@@ -1,6 +1,6 @@
# Mem0 Plugin for Claude Code, Claude Cowork, Cursor & Codex
# Mem0 Plugin for Claude Code, Claude Cowork & Cursor
Add persistent memory to your AI workflows. Store, retrieve, and manage memories across sessions using the Mem0 Platform. Works with **Claude Code** (CLI), **Claude Cowork** (desktop app), **Cursor**, and **Codex**.
Add persistent memory to your AI workflows. Store, retrieve, and manage memories across sessions using the Mem0 Platform. Works with **Claude Code** (CLI), **Claude Cowork** (desktop app), and **Cursor**.
## Step 1: Set your API key
@@ -47,65 +47,6 @@ Claude Code and Claude Cowork share the same plugin system.
This installs the full plugin including the MCP server, lifecycle hooks (automatic memory capture), and the Mem0 SDK skill.
### Codex
**Option A — Repo marketplace** (recommended for teams):
Add the plugin marketplace to your repo root (already included in this repository):
```
.agents/plugins/marketplace.json
```
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/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}"
}
}
}
}
```
This installs the MCP server and the Mem0 SDK skill. Codex uses the skill-based memory protocol instead of lifecycle hooks.
### Cursor
> **Already have `mem0` configured as an MCP server?** Remove the existing entry from your Cursor MCP settings before installing to avoid duplicate tools.
@@ -145,17 +86,15 @@ After installing, confirm the MCP server is connected:
## What's included
| Component | Claude Code / Cowork | Cursor (Marketplace) | Cursor (Deeplink/Manual) | Codex |
|-----------|:--------------------:|:--------------------:|:------------------------:|:-----:|
| MCP Server | Yes | Yes | Yes | Yes |
| Lifecycle Hooks | Yes | Yes | No | No |
| Mem0 SDK Skill | Yes | Yes | No | Yes |
| Memory Protocol Skill | No | No | No | Yes |
| Component | Claude Code / Cowork | Cursor (Marketplace) | Cursor (Deeplink/Manual) |
|-----------|:--------------------:|:--------------------:|:------------------------:|
| MCP Server | Yes | Yes | Yes |
| Lifecycle Hooks | Yes | Yes | No |
| Mem0 SDK Skill | Yes | Yes | No |
- **MCP Server** — Connects to the Mem0 remote MCP server (`mcp.mem0.ai`), providing tools to add, search, update, and delete memories. No local dependencies required.
- **Lifecycle Hooks** — Automatic memory capture at key points: session start, context compaction, task completion, and session end. (Claude Code/Cursor only)
- **Lifecycle Hooks** — Automatic memory capture at key points: session start, context compaction, task completion, and session end.
- **Mem0 SDK Skill** — Guides the AI on how to integrate the Mem0 SDK (Python & TypeScript) into your applications.
- **Memory Protocol Skill** — Codex-specific skill that instructs the agent to retrieve relevant memories at task start, store learnings on completion, and capture session state before context loss. Replaces lifecycle hooks on platforms that don't support them.
## MCP Tools
-62
View File
@@ -1,62 +0,0 @@
---
name: mem0-codex
description: >
Mem0 persistent memory integration for Codex. Automatically retrieve relevant
memories at the start of each task, store key learnings when tasks complete,
and capture session state before context is lost. Use the mem0 MCP tools
(add_memory, search_memories, get_memories, etc.) for all memory operations.
---
# Mem0 Memory Protocol for Codex
You have access to persistent memory via the mem0 MCP tools. Follow this protocol to maintain context across sessions.
## On every new task
1. Call `search_memories` with a query related to the current task or project to load relevant context.
2. Review returned memories to understand what has been learned in prior sessions.
3. If appropriate, call `get_memories` to browse all stored memories for this user.
## After completing significant work
Extract key learnings and store them using the `add_memory` tool:
- **Decisions made** -> Include metadata `{"type": "decision"}`
- **Strategies that worked** -> Include metadata `{"type": "task_learning"}`
- **Failed approaches** -> Include metadata `{"type": "anti_pattern"}`
- **User preferences observed** -> Include metadata `{"type": "user_preference"}`
- **Environment/setup discoveries** -> Include metadata `{"type": "environmental"}`
- **Conventions established** -> Include metadata `{"type": "convention"}`
Memories can be as detailed as needed -- include full context, reasoning, code snippets, file paths, and examples. Longer, searchable memories are more valuable than vague one-liners.
## Before losing context
If context is about to be compacted or the session is ending, store a comprehensive session summary:
```
## Session Summary
### User's Goal
[What the user originally asked for]
### What Was Accomplished
[Numbered list of tasks completed]
### Key Decisions Made
[Architectural choices, trade-offs discussed]
### Files Created or Modified
[Important file paths with what changed]
### Current State
[What is in progress, pending items, next steps]
```
Include metadata: `{"type": "session_state"}`
## Memory hygiene
- Do NOT write to MEMORY.md or any file-based memory. Use mem0 MCP tools exclusively.
- Only store genuinely useful learnings. Skip trivial interactions.
- Use specific, searchable language in memory content.
+1 -6
View File
@@ -1,6 +1,6 @@
{
"name": "mem0ai",
"version": "2.4.5",
"version": "2.4.4",
"description": "The Memory Layer For Your AI Apps",
"main": "./dist/index.js",
"module": "./dist/index.mjs",
@@ -68,11 +68,6 @@
"!src/community/**"
]
},
"repository": {
"type": "git",
"url": "https://github.com/mem0ai/mem0",
"directory": "mem0-ts"
},
"keywords": [
"mem0",
"api",
-1
View File
@@ -167,7 +167,6 @@ export interface PromptUpdatePayload {
exclusion_prompt?: string;
memory_depth?: string | null;
usecase_setting?: string | number;
multilingual?: boolean;
[key: string]: any;
}
+2 -8
View File
@@ -5,7 +5,7 @@ import { EmbeddingConfig } from "../types";
export class AzureOpenAIEmbedder implements Embedder {
private client: AzureOpenAI;
private model: string;
private embeddingDims: number | undefined;
private embeddingDims?: number;
constructor(config: EmbeddingConfig) {
if (!config.apiKey || !config.modelProperties?.endpoint) {
@@ -20,16 +20,13 @@ export class AzureOpenAIEmbedder implements Embedder {
...rest,
});
this.model = config.model || "text-embedding-3-small";
this.embeddingDims = config.embeddingDims;
this.embeddingDims = config.embeddingDims || 1536;
}
async embed(text: string): Promise<number[]> {
const response = await this.client.embeddings.create({
model: this.model,
input: text,
...(this.embeddingDims !== undefined && {
dimensions: this.embeddingDims,
}),
});
return response.data[0].embedding;
}
@@ -38,9 +35,6 @@ export class AzureOpenAIEmbedder implements Embedder {
const response = await this.client.embeddings.create({
model: this.model,
input: texts,
...(this.embeddingDims !== undefined && {
dimensions: this.embeddingDims,
}),
});
return response.data.map((item) => item.embedding);
}
+4 -8
View File
@@ -5,23 +5,21 @@ import { EmbeddingConfig } from "../types";
export class GoogleEmbedder implements Embedder {
private google: GoogleGenAI;
private model: string;
private embeddingDims: number | undefined;
private embeddingDims?: number;
constructor(config: EmbeddingConfig) {
this.google = new GoogleGenAI({
apiKey: config.apiKey || process.env.GOOGLE_API_KEY,
});
this.model = config.model || "gemini-embedding-001";
this.embeddingDims = config.embeddingDims;
this.embeddingDims = config.embeddingDims || 1536;
}
async embed(text: string): Promise<number[]> {
const response = await this.google.models.embedContent({
model: this.model,
contents: text,
...(this.embeddingDims !== undefined && {
config: { outputDimensionality: this.embeddingDims },
}),
config: { outputDimensionality: this.embeddingDims },
});
return response.embeddings![0].values!;
}
@@ -30,9 +28,7 @@ export class GoogleEmbedder implements Embedder {
const response = await this.google.models.embedContent({
model: this.model,
contents: texts,
...(this.embeddingDims !== undefined && {
config: { outputDimensionality: this.embeddingDims },
}),
config: { outputDimensionality: this.embeddingDims },
});
return response.embeddings!.map((item) => item.values!);
}
+2 -8
View File
@@ -5,7 +5,7 @@ import { EmbeddingConfig } from "../types";
export class OpenAIEmbedder implements Embedder {
private openai: OpenAI;
private model: string;
private embeddingDims: number | undefined;
private embeddingDims?: number;
constructor(config: EmbeddingConfig) {
this.openai = new OpenAI({
@@ -13,16 +13,13 @@ export class OpenAIEmbedder implements Embedder {
baseURL: config.baseURL || config.url,
});
this.model = config.model || "text-embedding-3-small";
this.embeddingDims = config.embeddingDims;
this.embeddingDims = config.embeddingDims || 1536;
}
async embed(text: string): Promise<number[]> {
const response = await this.openai.embeddings.create({
model: this.model,
input: text,
...(this.embeddingDims !== undefined && {
dimensions: this.embeddingDims,
}),
});
return response.data[0].embedding;
}
@@ -31,9 +28,6 @@ export class OpenAIEmbedder implements Embedder {
const response = await this.openai.embeddings.create({
model: this.model,
input: texts,
...(this.embeddingDims !== undefined && {
dimensions: this.embeddingDims,
}),
});
return response.data.map((item) => item.embedding);
}
@@ -267,7 +267,7 @@ See the SQL migration instructions in the code comments.`,
.from(this.tableName)
.select("*")
.eq("id", vectorId)
.maybeSingle();
.single();
if (error) throw error;
if (!data) return null;
@@ -1,163 +0,0 @@
/// <reference types="jest" />
/**
* Azure OpenAI Embedder — unit tests (mocked Azure OpenAI client).
* Verifies that the `dimensions` parameter is only passed to the API
* when the user explicitly configures `embeddingDims`.
*/
const mockEmbeddingsCreate = jest.fn();
jest.mock("openai", () => {
return {
__esModule: true,
AzureOpenAI: jest.fn().mockImplementation(() => ({
embeddings: { create: mockEmbeddingsCreate },
})),
};
});
import { AzureOpenAIEmbedder } from "../src/embeddings/azure";
const mockEmbedding = [0.1, 0.2, 0.3, 0.4, 0.5];
const baseConfig = {
apiKey: "test-key",
modelProperties: { endpoint: "https://test.openai.azure.com" },
};
describe("AzureOpenAIEmbedder (unit)", () => {
beforeEach(() => {
mockEmbeddingsCreate.mockReset();
mockEmbeddingsCreate.mockResolvedValue({
data: [{ embedding: mockEmbedding }],
});
});
describe("dimensions parameter", () => {
it("does NOT pass dimensions when embeddingDims is not set", async () => {
const embedder = new AzureOpenAIEmbedder(baseConfig);
await embedder.embed("hello");
expect(mockEmbeddingsCreate).toHaveBeenCalledTimes(1);
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).not.toHaveProperty("dimensions");
expect(callArgs).toEqual({
model: "text-embedding-3-small",
input: "hello",
});
});
it("passes dimensions when embeddingDims is explicitly set", async () => {
const embedder = new AzureOpenAIEmbedder({
...baseConfig,
embeddingDims: 1024,
});
await embedder.embed("hello");
expect(mockEmbeddingsCreate).toHaveBeenCalledTimes(1);
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).toEqual({
model: "text-embedding-3-small",
input: "hello",
dimensions: 1024,
});
});
it("passes dimensions=1536 when embeddingDims is explicitly set to 1536", async () => {
const embedder = new AzureOpenAIEmbedder({
...baseConfig,
embeddingDims: 1536,
});
await embedder.embed("hello");
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).toHaveProperty("dimensions", 1536);
});
it("does NOT pass dimensions in embedBatch when embeddingDims is not set", async () => {
mockEmbeddingsCreate.mockResolvedValue({
data: [{ embedding: mockEmbedding }, { embedding: mockEmbedding }],
});
const embedder = new AzureOpenAIEmbedder(baseConfig);
await embedder.embedBatch(["hello", "world"]);
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).not.toHaveProperty("dimensions");
});
it("passes dimensions in embedBatch when embeddingDims is explicitly set", async () => {
mockEmbeddingsCreate.mockResolvedValue({
data: [{ embedding: mockEmbedding }, { embedding: mockEmbedding }],
});
const embedder = new AzureOpenAIEmbedder({
...baseConfig,
embeddingDims: 512,
});
await embedder.embedBatch(["hello", "world"]);
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).toEqual({
model: "text-embedding-3-small",
input: ["hello", "world"],
dimensions: 512,
});
});
});
describe("basic functionality", () => {
it("embed() returns the embedding vector", async () => {
const embedder = new AzureOpenAIEmbedder(baseConfig);
const result = await embedder.embed("hello");
expect(result).toEqual(mockEmbedding);
});
it("embedBatch() returns vectors for multiple inputs", async () => {
const batch = [
[0.1, 0.2],
[0.3, 0.4],
];
mockEmbeddingsCreate.mockResolvedValue({
data: batch.map((embedding) => ({ embedding })),
});
const embedder = new AzureOpenAIEmbedder(baseConfig);
const result = await embedder.embedBatch(["text1", "text2"]);
expect(result).toEqual(batch);
});
it("uses custom model when provided", async () => {
const embedder = new AzureOpenAIEmbedder({
...baseConfig,
model: "text-embedding-3-large",
});
await embedder.embed("hello");
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs.model).toBe("text-embedding-3-large");
});
it("throws when API key is missing", () => {
expect(() => {
new AzureOpenAIEmbedder({
modelProperties: { endpoint: "https://test.openai.azure.com" },
});
}).toThrow("Azure OpenAI requires both API key and endpoint");
});
it("throws when endpoint is missing", () => {
expect(() => {
new AzureOpenAIEmbedder({ apiKey: "test-key" });
}).toThrow("Azure OpenAI requires both API key and endpoint");
});
});
});
@@ -1,153 +0,0 @@
/// <reference types="jest" />
/**
* Google Embedder — unit tests (mocked Google GenAI client).
* Verifies that the `outputDimensionality` config is only passed to the API
* when the user explicitly configures `embeddingDims`.
*/
const mockEmbedContent = jest.fn();
jest.mock("@google/genai", () => {
return {
__esModule: true,
GoogleGenAI: jest.fn().mockImplementation(() => ({
models: { embedContent: mockEmbedContent },
})),
};
});
import { GoogleEmbedder } from "../src/embeddings/google";
const mockEmbedding = [0.1, 0.2, 0.3, 0.4, 0.5];
describe("GoogleEmbedder (unit)", () => {
beforeEach(() => {
mockEmbedContent.mockReset();
mockEmbedContent.mockResolvedValue({
embeddings: [{ values: mockEmbedding }],
});
});
describe("outputDimensionality parameter", () => {
it("does NOT pass config when embeddingDims is not set", async () => {
const embedder = new GoogleEmbedder({
apiKey: "test-key",
});
await embedder.embed("hello");
expect(mockEmbedContent).toHaveBeenCalledTimes(1);
const callArgs = mockEmbedContent.mock.calls[0][0];
expect(callArgs).not.toHaveProperty("config");
expect(callArgs).toEqual({
model: "gemini-embedding-001",
contents: "hello",
});
});
it("passes outputDimensionality when embeddingDims is explicitly set", async () => {
const embedder = new GoogleEmbedder({
apiKey: "test-key",
embeddingDims: 768,
});
await embedder.embed("hello");
expect(mockEmbedContent).toHaveBeenCalledTimes(1);
const callArgs = mockEmbedContent.mock.calls[0][0];
expect(callArgs).toEqual({
model: "gemini-embedding-001",
contents: "hello",
config: { outputDimensionality: 768 },
});
});
it("passes outputDimensionality=1536 when embeddingDims is explicitly set to 1536", async () => {
const embedder = new GoogleEmbedder({
apiKey: "test-key",
embeddingDims: 1536,
});
await embedder.embed("hello");
const callArgs = mockEmbedContent.mock.calls[0][0];
expect(callArgs).toHaveProperty("config");
expect(callArgs.config).toEqual({ outputDimensionality: 1536 });
});
it("does NOT pass config in embedBatch when embeddingDims is not set", async () => {
mockEmbedContent.mockResolvedValue({
embeddings: [{ values: mockEmbedding }, { values: mockEmbedding }],
});
const embedder = new GoogleEmbedder({
apiKey: "test-key",
});
await embedder.embedBatch(["hello", "world"]);
const callArgs = mockEmbedContent.mock.calls[0][0];
expect(callArgs).not.toHaveProperty("config");
});
it("passes outputDimensionality in embedBatch when embeddingDims is explicitly set", async () => {
mockEmbedContent.mockResolvedValue({
embeddings: [{ values: mockEmbedding }, { values: mockEmbedding }],
});
const embedder = new GoogleEmbedder({
apiKey: "test-key",
embeddingDims: 512,
});
await embedder.embedBatch(["hello", "world"]);
const callArgs = mockEmbedContent.mock.calls[0][0];
expect(callArgs).toEqual({
model: "gemini-embedding-001",
contents: ["hello", "world"],
config: { outputDimensionality: 512 },
});
});
});
describe("basic functionality", () => {
it("embed() returns the embedding vector", async () => {
const embedder = new GoogleEmbedder({
apiKey: "test-key",
});
const result = await embedder.embed("hello");
expect(result).toEqual(mockEmbedding);
});
it("embedBatch() returns vectors for multiple inputs", async () => {
const batch = [
[0.1, 0.2],
[0.3, 0.4],
];
mockEmbedContent.mockResolvedValue({
embeddings: batch.map((values) => ({ values })),
});
const embedder = new GoogleEmbedder({
apiKey: "test-key",
});
const result = await embedder.embedBatch(["text1", "text2"]);
expect(result).toEqual(batch);
});
it("uses custom model when provided", async () => {
const embedder = new GoogleEmbedder({
apiKey: "test-key",
model: "text-embedding-004",
});
await embedder.embed("hello");
const callArgs = mockEmbedContent.mock.calls[0][0];
expect(callArgs.model).toBe("text-embedding-004");
});
});
});
@@ -1,152 +0,0 @@
/// <reference types="jest" />
/**
* OpenAI Embedder — unit tests (mocked OpenAI client).
* Verifies that the `dimensions` parameter is only passed to the API
* when the user explicitly configures `embeddingDims`.
*/
const mockEmbeddingsCreate = jest.fn();
jest.mock("openai", () => {
return {
__esModule: true,
default: jest.fn().mockImplementation(() => ({
embeddings: { create: mockEmbeddingsCreate },
})),
};
});
import { OpenAIEmbedder } from "../src/embeddings/openai";
const mockEmbedding = [0.1, 0.2, 0.3, 0.4, 0.5];
describe("OpenAIEmbedder (unit)", () => {
beforeEach(() => {
mockEmbeddingsCreate.mockReset();
mockEmbeddingsCreate.mockResolvedValue({
data: [{ embedding: mockEmbedding }],
});
});
describe("dimensions parameter", () => {
it("does NOT pass dimensions when embeddingDims is not set", async () => {
const embedder = new OpenAIEmbedder({
apiKey: "test-key",
});
await embedder.embed("hello");
expect(mockEmbeddingsCreate).toHaveBeenCalledTimes(1);
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).not.toHaveProperty("dimensions");
expect(callArgs).toEqual({
model: "text-embedding-3-small",
input: "hello",
});
});
it("passes dimensions when embeddingDims is explicitly set", async () => {
const embedder = new OpenAIEmbedder({
apiKey: "test-key",
embeddingDims: 1024,
});
await embedder.embed("hello");
expect(mockEmbeddingsCreate).toHaveBeenCalledTimes(1);
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).toEqual({
model: "text-embedding-3-small",
input: "hello",
dimensions: 1024,
});
});
it("passes dimensions=1536 when embeddingDims is explicitly set to 1536", async () => {
const embedder = new OpenAIEmbedder({
apiKey: "test-key",
embeddingDims: 1536,
});
await embedder.embed("hello");
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).toHaveProperty("dimensions", 1536);
});
it("does NOT pass dimensions in embedBatch when embeddingDims is not set", async () => {
mockEmbeddingsCreate.mockResolvedValue({
data: [{ embedding: mockEmbedding }, { embedding: mockEmbedding }],
});
const embedder = new OpenAIEmbedder({
apiKey: "test-key",
});
await embedder.embedBatch(["hello", "world"]);
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).not.toHaveProperty("dimensions");
});
it("passes dimensions in embedBatch when embeddingDims is explicitly set", async () => {
mockEmbeddingsCreate.mockResolvedValue({
data: [{ embedding: mockEmbedding }, { embedding: mockEmbedding }],
});
const embedder = new OpenAIEmbedder({
apiKey: "test-key",
embeddingDims: 512,
});
await embedder.embedBatch(["hello", "world"]);
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs).toEqual({
model: "text-embedding-3-small",
input: ["hello", "world"],
dimensions: 512,
});
});
});
describe("basic functionality", () => {
it("embed() returns the embedding vector", async () => {
const embedder = new OpenAIEmbedder({
apiKey: "test-key",
});
const result = await embedder.embed("hello");
expect(result).toEqual(mockEmbedding);
});
it("embedBatch() returns vectors for multiple inputs", async () => {
const batch = [
[0.1, 0.2],
[0.3, 0.4],
];
mockEmbeddingsCreate.mockResolvedValue({
data: batch.map((embedding) => ({ embedding })),
});
const embedder = new OpenAIEmbedder({
apiKey: "test-key",
});
const result = await embedder.embedBatch(["text1", "text2"]);
expect(result).toEqual(batch);
});
it("uses custom model when provided", async () => {
const embedder = new OpenAIEmbedder({
apiKey: "test-key",
model: "text-embedding-3-large",
});
await embedder.embed("hello");
const callArgs = mockEmbeddingsCreate.mock.calls[0][0];
expect(callArgs.model).toBe("text-embedding-3-large");
});
});
});
-10
View File
@@ -676,7 +676,6 @@ class MemoryClient:
exclusion_prompt: Optional[str] = None,
memory_depth: Optional[str] = None,
usecase_setting: Optional[str] = None,
multilingual: Optional[bool] = None,
) -> Dict[str, Any]:
"""Update the project settings.
@@ -690,7 +689,6 @@ class MemoryClient:
exclusion_prompt: Exclusion prompt for the project
memory_depth: Memory depth for the project
usecase_setting: Usecase setting for the project
multilingual: Whether to use the input language for memory storage and retrieval
Returns:
Dictionary containing the API response.
@@ -720,7 +718,6 @@ class MemoryClient:
and exclusion_prompt is None
and memory_depth is None
and usecase_setting is None
and multilingual is None
):
raise ValueError(
"Currently we only support updating custom_instructions or "
@@ -739,7 +736,6 @@ class MemoryClient:
"exclusion_prompt": exclusion_prompt,
"memory_depth": memory_depth,
"usecase_setting": usecase_setting,
"multilingual": multilingual,
}
)
response = self.client.patch(
@@ -760,7 +756,6 @@ class MemoryClient:
"exclusion_prompt": exclusion_prompt,
"memory_depth": memory_depth,
"usecase_setting": usecase_setting,
"multilingual": multilingual,
"sync_type": "sync",
},
)
@@ -1559,7 +1554,6 @@ class AsyncMemoryClient:
retrieval_criteria: Optional[List[Dict[str, Any]]] = None,
enable_graph: Optional[bool] = None,
version: Optional[str] = None,
multilingual: Optional[bool] = None,
) -> Dict[str, Any]:
"""Update the project settings.
@@ -1569,7 +1563,6 @@ class AsyncMemoryClient:
retrieval_criteria: New retrieval criteria for the project
enable_graph: Enable or disable the graph for the project
version: Version of the project
multilingual: Whether to use the input language for memory storage and retrieval
Returns:
Dictionary containing the API response.
@@ -1595,7 +1588,6 @@ class AsyncMemoryClient:
and retrieval_criteria is None
and enable_graph is None
and version is None
and multilingual is None
):
raise ValueError(
"Currently we only support updating custom_instructions or custom_categories or retrieval_criteria, so you must provide at least one of them"
@@ -1608,7 +1600,6 @@ class AsyncMemoryClient:
"retrieval_criteria": retrieval_criteria,
"enable_graph": enable_graph,
"version": version,
"multilingual": multilingual,
}
)
response = await self.async_client.patch(
@@ -1625,7 +1616,6 @@ class AsyncMemoryClient:
"retrieval_criteria": retrieval_criteria,
"enable_graph": enable_graph,
"version": version,
"multilingual": multilingual,
"sync_type": "async",
},
)
+2 -12
View File
@@ -399,7 +399,6 @@ class Project(BaseProject):
custom_categories: Optional[List[str]] = None,
retrieval_criteria: Optional[List[Dict[str, Any]]] = None,
enable_graph: Optional[bool] = None,
multilingual: Optional[bool] = None,
) -> Dict[str, Any]:
"""
Update project settings.
@@ -409,7 +408,6 @@ class Project(BaseProject):
custom_categories: New categories for the project
retrieval_criteria: New retrieval criteria for the project
enable_graph: Enable or disable the graph for the project
multilingual: Whether to use the input language for memory storage and retrieval
Returns:
Dictionary containing the API response.
@@ -426,12 +424,11 @@ class Project(BaseProject):
and custom_categories is None
and retrieval_criteria is None
and enable_graph is None
and multilingual is None
):
raise ValueError(
"At least one parameter must be provided for update: "
"custom_instructions, custom_categories, retrieval_criteria, "
"enable_graph, multilingual"
"enable_graph"
)
payload = self._prepare_params(
@@ -440,7 +437,6 @@ class Project(BaseProject):
"custom_categories": custom_categories,
"retrieval_criteria": retrieval_criteria,
"enable_graph": enable_graph,
"multilingual": multilingual,
}
)
response = self._client.patch(
@@ -456,7 +452,6 @@ class Project(BaseProject):
"custom_categories": custom_categories,
"retrieval_criteria": retrieval_criteria,
"enable_graph": enable_graph,
"multilingual": multilingual,
"sync_type": "sync",
},
)
@@ -721,7 +716,6 @@ class AsyncProject(BaseProject):
custom_categories: Optional[List[str]] = None,
retrieval_criteria: Optional[List[Dict[str, Any]]] = None,
enable_graph: Optional[bool] = None,
multilingual: Optional[bool] = None,
) -> Dict[str, Any]:
"""
Update project settings.
@@ -731,7 +725,6 @@ class AsyncProject(BaseProject):
custom_categories: New categories for the project
retrieval_criteria: New retrieval criteria for the project
enable_graph: Enable or disable the graph for the project
multilingual: Whether to use the input language for memory storage and retrieval
Returns:
Dictionary containing the API response.
@@ -748,12 +741,11 @@ class AsyncProject(BaseProject):
and custom_categories is None
and retrieval_criteria is None
and enable_graph is None
and multilingual is None
):
raise ValueError(
"At least one parameter must be provided for update: "
"custom_instructions, custom_categories, retrieval_criteria, "
"enable_graph, multilingual"
"enable_graph"
)
payload = self._prepare_params(
@@ -762,7 +754,6 @@ class AsyncProject(BaseProject):
"custom_categories": custom_categories,
"retrieval_criteria": retrieval_criteria,
"enable_graph": enable_graph,
"multilingual": multilingual,
}
)
response = await self._client.patch(
@@ -778,7 +769,6 @@ class AsyncProject(BaseProject):
"custom_categories": custom_categories,
"retrieval_criteria": retrieval_criteria,
"enable_graph": enable_graph,
"multilingual": multilingual,
"sync_type": "async",
},
)
+3 -2
View File
@@ -1,6 +1,6 @@
from typing import Any, Dict, Optional
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic import BaseModel, Field, model_validator
class AzureMySQLConfig(BaseModel):
@@ -80,4 +80,5 @@ class AzureMySQLConfig(BaseModel):
return values
model_config = ConfigDict(arbitrary_types_allowed=True)
class Config:
arbitrary_types_allowed = True
+3 -2
View File
@@ -1,6 +1,6 @@
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic import BaseModel, Field, model_validator
class CassandraConfig(BaseModel):
@@ -72,5 +72,6 @@ class CassandraConfig(BaseModel):
return values
model_config = ConfigDict(arbitrary_types_allowed=True)
class Config:
arbitrary_types_allowed = True
+1 -3
View File
@@ -1,7 +1,7 @@
from collections.abc import Callable
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic import BaseModel, Field, model_validator
class ElasticsearchConfig(BaseModel):
@@ -63,5 +63,3 @@ class ElasticsearchConfig(BaseModel):
f"Please input only the following fields: {', '.join(allowed_fields)}"
)
return values
model_config = ConfigDict(arbitrary_types_allowed=True)
+1 -3
View File
@@ -1,6 +1,6 @@
from typing import Any, Dict, Optional
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic import BaseModel, Field, model_validator
class MongoDBConfig(BaseModel):
@@ -23,5 +23,3 @@ class MongoDBConfig(BaseModel):
f"Please provide only the following fields: {', '.join(allowed_fields)}."
)
return values
model_config = ConfigDict(arbitrary_types_allowed=False)
+4 -2
View File
@@ -5,7 +5,7 @@ This module provides configuration settings for integrating with Amazon Neptune
as a vector store backend for Mem0's memory layer.
"""
from pydantic import BaseModel, ConfigDict, Field
from pydantic import BaseModel, Field
class NeptuneAnalyticsConfig(BaseModel):
@@ -22,4 +22,6 @@ class NeptuneAnalyticsConfig(BaseModel):
collection_name: str = Field("mem0", description="Default name for the collection")
endpoint: str = Field("endpoint", description="Graph ID for the runtime")
model_config = ConfigDict(arbitrary_types_allowed=False)
model_config = {
"arbitrary_types_allowed": False,
}
+1 -3
View File
@@ -1,6 +1,6 @@
from typing import Any, Dict, Optional, Type, Union
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic import BaseModel, Field, model_validator
class OpenSearchConfig(BaseModel):
@@ -39,5 +39,3 @@ class OpenSearchConfig(BaseModel):
f"Extra fields not allowed: {', '.join(extra_fields)}. Allowed fields: {', '.join(allowed_fields)}"
)
return values
model_config = ConfigDict(arbitrary_types_allowed=True)
+1 -3
View File
@@ -1,6 +1,6 @@
from typing import Any, Dict, Optional
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic import BaseModel, Field, model_validator
class PGVectorConfig(BaseModel):
@@ -50,5 +50,3 @@ class PGVectorConfig(BaseModel):
f"Extra fields not allowed: {', '.join(extra_fields)}. Please input only the following fields: {', '.join(allowed_fields)}"
)
return values
model_config = ConfigDict(arbitrary_types_allowed=True)
+1 -3
View File
@@ -1,7 +1,7 @@
from enum import Enum
from typing import Any, Dict, Optional
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic import BaseModel, Field, model_validator
class IndexMethod(str, Enum):
@@ -42,5 +42,3 @@ class SupabaseConfig(BaseModel):
f"Extra fields not allowed: {', '.join(extra_fields)}. Please input only the following fields: {', '.join(allowed_fields)}"
)
return values
model_config = ConfigDict(arbitrary_types_allowed=False)
+10 -26
View File
@@ -1,31 +1,15 @@
from typing import Any, Dict
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic import BaseModel
class ValkeyConfig(BaseModel):
"""Configuration for Valkey vector store."""
valkey_url: str = Field(..., description="Valkey server URL (e.g., redis://localhost:6379)")
collection_name: str = Field(..., description="Name of the index / collection")
embedding_model_dims: int = Field(..., description="Dimensions of the embedding model")
timezone: str = Field("UTC", description="Timezone for timestamp handling")
index_type: str = Field("hnsw", description="Index type: 'hnsw' (default) or 'flat'")
hnsw_m: int = Field(16, description="HNSW: number of connections per layer")
hnsw_ef_construction: int = Field(200, description="HNSW: search width during index construction")
hnsw_ef_runtime: int = Field(10, description="HNSW: search width during queries")
@model_validator(mode="before")
@classmethod
def validate_extra_fields(cls, values: Dict[str, Any]) -> Dict[str, Any]:
allowed_fields = set(cls.model_fields.keys())
input_fields = set(values.keys())
extra_fields = input_fields - allowed_fields
if extra_fields:
raise ValueError(
f"Extra fields not allowed: {', '.join(extra_fields)}. "
f"Please input only the following fields: {', '.join(allowed_fields)}"
)
return values
model_config = ConfigDict(arbitrary_types_allowed=False)
valkey_url: str
collection_name: str
embedding_model_dims: int
timezone: str = "UTC"
index_type: str = "hnsw" # Default to HNSW, can be 'hnsw' or 'flat'
# HNSW specific parameters with recommended defaults
hnsw_m: int = 16 # Number of connections per layer (default from Valkey docs)
hnsw_ef_construction: int = 200 # Search width during construction
hnsw_ef_runtime: int = 10 # Search width during queries
-26
View File
@@ -1,10 +1,8 @@
import logging
import re
from typing import Optional
from qdrant_client import QdrantClient
from qdrant_client.models import (
DatetimeRange,
Distance,
FieldCondition,
Filter,
@@ -141,23 +139,6 @@ class Qdrant(VectorStoreBase):
]
self.client.upsert(collection_name=self.collection_name, points=points)
# ISO 8601 datetime pattern for detecting datetime strings in range filters
_ISO_DATETIME_RE = re.compile(
r"^\d{4}-\d{2}-\d{2}" # date part
r"([T ]\d{2}:\d{2}(:\d{2})?" # optional time part
r"(\.\d+)?" # optional fractional seconds
r"(Z|[+-]\d{2}:?\d{2})?" # optional timezone
r")?$"
)
@staticmethod
def _is_datetime_range(range_kwargs: dict) -> bool:
"""Check if all values in range kwargs are ISO datetime strings."""
return all(
isinstance(v, str) and Qdrant._ISO_DATETIME_RE.match(v)
for v in range_kwargs.values()
)
def _build_field_condition(self, key: str, value) -> Optional[FieldCondition]:
"""
Build a single FieldCondition from a key-value filter pair.
@@ -196,13 +177,6 @@ class Qdrant(VectorStoreBase):
f"Use AND to combine them as separate conditions."
)
range_kwargs = {op: value[op] for op in range_ops if op in value}
if self._is_datetime_range(range_kwargs):
try:
return FieldCondition(key=key, range=DatetimeRange(**range_kwargs))
except (ValueError, TypeError) as e:
raise ValueError(
f"Invalid datetime value in range filter for field '{key}': {e}"
) from e
return FieldCondition(key=key, range=Range(**range_kwargs))
elif "eq" in value:
return FieldCondition(key=key, match=MatchValue(value=value["eq"]))
-42
View File
@@ -2,48 +2,6 @@
All notable changes to the `@mem0/openclaw-mem0` plugin will be documented in this file.
## [1.0.3] - 2026-04-03
### Fixed
- **Path traversal vulnerability**: Added `safePath()` containment helper to `readSkillFile` and `readDomainOverlay` in `skill-loader.ts` — prevents directory traversal via `config.domain` or the exported `loadSkill` API
- **Noise filter regression**: Reverted incorrect `After-Compaction` regex rename back to `Post-Compaction` so the filter correctly matches real upstream compaction audit messages
- **Cosmetic revert**: Restored `// Over-fetch for ranking` comment in `recall.ts` (was changed to work around a false-positive scanner match on the substring `fetch`)
### Changed
- **Supply-chain hardening**: Pinned `mem0ai` dependency to exact `2.3.0` (was `^2.3.0`)
### Added
- **Path traversal tests**: 12 new tests covering `safePath`, `readSkillFile`, `readDomainOverlay`, and `loadSkill` with traversal inputs
## [1.0.2] - 2026-04-02
### Fixed
- **Security scanner warning**: Removed `resolveEnvVars()` and `resolveEnvVarsDeep()` from `config.ts` — OpenClaw already resolves `${VAR}` in `openclaw.json` before passing config to the plugin, so plugin-side env resolution was redundant and triggered the "credential harvesting" static analysis warning ([#4676](https://github.com/mem0ai/mem0/pull/4676))
## [1.0.1] - 2026-04-02
### Added
- **CD workflow**: Added continuous deployment workflow for `@mem0/openclaw-mem0` with OIDC trusted publishing ([#4672](https://github.com/mem0ai/mem0/pull/4672))
- **Plugin configuration manifest**: Added `compat` and `build` metadata to `package.json` specifying minimum gateway version and OpenClaw SDK compatibility (`>=2026.3.24-beta.2`) ([#4667](https://github.com/mem0ai/mem0/pull/4667))
- **LICENSE**: Added Apache-2.0 license file to the package ([#4667](https://github.com/mem0ai/mem0/pull/4667))
### Fixed
- **Dream gate correctness**: Fixed cheap-first ordering, session isolation, and verified completion in the dream gate memory consolidation pipeline ([#4666](https://github.com/mem0ai/mem0/pull/4666))
- **Graceful startup without API key**: Plugin now starts gracefully when no API key is configured instead of crashing on init ([#4669](https://github.com/mem0ai/mem0/pull/4669))
## [1.0.0] - 2026-04-01
### Added
- **Skills-based memory architecture**: New skill-loader and skill-based extraction pipeline with batched extraction for higher quality memory capture ([#4624](https://github.com/mem0ai/mem0/pull/4624))
- **Dream gate**: Added `dream-gate.ts` for memory consolidation and dream-cycle processing
- **Enhanced recall**: New `recall.ts` module with improved recall logic and skill-aware retrieval
- **Memory triage skill**: Domain-aware memory triage with companion domain support and recall protocol
- **Memory dream skill**: Skill for memory consolidation during idle periods
- **Plugin configuration**: Added `openclaw.plugin.json` manifest and `scripts/configure.py` setup helper
### Changed
- Extraction pipeline refactored to use skills-based architecture for more contextual and higher quality memory capture
## [0.4.1] - 2026-03-26
### Added
-201
View File
@@ -1,201 +0,0 @@
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-175
View File
@@ -1,175 +0,0 @@
# ============================================================================
# Agentic Memory Skills — OpenClaw Plugin Installer
# ============================================================================
#
# Usage:
# make install # Interactive — prompts for API key
# make install MEM0_API_KEY=m0-xxx # Non-interactive
# make uninstall # Revert to stock plugin
# make restart # Rebuild + restart gateway
# make status # Check everything is working
# make logs # Tail gateway logs filtered to mem0
# make clean # Full teardown
#
# ============================================================================
SHELL := /bin/bash
.PHONY: install uninstall restart status logs clean build check-deps configure help
# Defaults
MEM0_API_KEY ?=
MEM0_USER_ID ?= $(shell whoami)
OPENCLAW_CONFIG := $(HOME)/.openclaw/openclaw.json
PLUGIN_DIR := $(shell pwd)
help: ## Show this help
@echo ""
@echo " Agentic Memory Skills — OpenClaw Plugin"
@echo " ========================================"
@echo ""
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf " \033[36m%-15s\033[0m %s\n", $$1, $$2}'
@echo ""
# ============================================================================
# Dependency checks
# ============================================================================
check-deps:
@echo "Checking dependencies..."
@command -v node >/dev/null 2>&1 || { echo "Error: Node.js is required. Install from https://nodejs.org"; exit 1; }
@NODE_MAJOR=$$(node -v | sed 's/v//' | cut -d. -f1); \
if [ "$$NODE_MAJOR" -lt 18 ]; then echo "Error: Node.js >= 18 required (found $$(node -v))"; exit 1; fi
@command -v npm >/dev/null 2>&1 || { echo "Error: npm is required"; exit 1; }
@if ! command -v openclaw >/dev/null 2>&1; then \
echo "OpenClaw not found. Installing..."; \
npm install -g openclaw || { echo "Error: Failed to install OpenClaw. Try: sudo npm install -g openclaw"; exit 1; }; \
echo "OpenClaw installed: $$(openclaw --version)"; \
else \
echo "OpenClaw: $$(openclaw --version 2>/dev/null || echo 'installed')"; \
fi
@echo "Node.js: $$(node -v)"
@echo "All dependencies OK."
# ============================================================================
# Build
# ============================================================================
build: ## Build the plugin from source
@echo "Installing npm dependencies..."
@npm install --silent 2>/dev/null
@echo "Building plugin..."
@npm run build --silent 2>/dev/null
@echo "Build OK: $$(ls -lh dist/index.js | awk '{print $$5}') ESM bundle"
# ============================================================================
# Install
# ============================================================================
install: check-deps build ## Full install — build, link, configure, restart
@# Remove existing plugin (suppress errors if not installed)
@echo "Removing existing openclaw-mem0 plugin (if any)..."
@echo "y" | openclaw plugins uninstall openclaw-mem0 >/dev/null 2>&1 || true
@# Link local build
@echo "Linking local plugin build..."
@openclaw plugins install "$(PLUGIN_DIR)" --link 2>&1 | grep -v "plugins.allow"
@# Configure AFTER link (link may overwrite config)
@$(MAKE) --no-print-directory configure
@# Restart gateway
@echo "Restarting gateway..."
@kill -9 $$(lsof -ti:18789) 2>/dev/null || true
@sleep 2
@openclaw gateway >/dev/null 2>&1 &
@sleep 4
@echo ""
@echo "============================================"
@echo " Installation complete!"
@echo "============================================"
@echo ""
@echo " Plugin: openclaw-mem0 (skills mode)"
@echo " User: $(MEM0_USER_ID)"
@echo " Web UI: http://127.0.0.1:18789"
@echo ""
@echo " Verify with: make status"
@echo " View logs: make logs"
@echo ""
# ============================================================================
# Configure — patch openclaw.json with required settings
# ============================================================================
configure:
@if [ -z "$(MEM0_API_KEY)" ]; then \
echo ""; \
echo " Enter your Mem0 API key (from https://app.mem0.ai/dashboard/api-keys):"; \
echo -n " > "; \
read -r key; \
if [ -z "$$key" ]; then echo "Error: API key is required."; exit 1; fi; \
MEM0_API_KEY="$$key" MEM0_USER_ID="$(MEM0_USER_ID)" python3 scripts/configure.py; \
else \
MEM0_API_KEY="$(MEM0_API_KEY)" MEM0_USER_ID="$(MEM0_USER_ID)" python3 scripts/configure.py; \
fi
# ============================================================================
# Status & Logs
# ============================================================================
status: ## Check plugin health and skills registration
@echo "Plugin health:"
@openclaw plugins doctor 2>&1 | grep -v "plugins.allow"
@echo ""
@echo "Skills:"
@openclaw skills list 2>&1 | grep -E "memory|Status|---" | head -10
@echo ""
@echo "Last gateway registration:"
@tail -50 /tmp/openclaw/openclaw-$$(date +%Y-%m-%d).log 2>/dev/null | grep "openclaw-mem0: registered" | tail -1 | grep -o '"1":"[^"]*"' || echo " No gateway log found. Is the gateway running?"
logs: ## Tail gateway logs (mem0 activity only)
@tail -f /tmp/openclaw/openclaw-$$(date +%Y-%m-%d).log 2>/dev/null | grep --line-buffered -o '"1":"[^"]*"' | grep --line-buffered -i "mem0\|skills-mode\|stored\|inject\|recall"
# ============================================================================
# Restart
# ============================================================================
restart: build ## Rebuild plugin and restart gateway
@echo "Restarting gateway..."
@kill -9 $$(lsof -ti:18789) 2>/dev/null || true
@sleep 2
@openclaw gateway >/dev/null 2>&1 &
@sleep 4
@echo "Gateway restarted. Verify: make status"
# ============================================================================
# Uninstall — revert to stock plugin
# ============================================================================
uninstall: ## Revert to stock openclaw-mem0 from npm
@echo "Uninstalling local plugin..."
@echo "y" | openclaw plugins uninstall openclaw-mem0 >/dev/null 2>&1 || true
@echo "Installing stock plugin from npm..."
@openclaw plugins install @mem0/openclaw-mem0 2>&1 | grep -v "plugins.allow"
@# Restore config backup if it exists
@if [ -f "$(OPENCLAW_CONFIG).pre-skills-backup" ]; then \
cp "$(OPENCLAW_CONFIG).pre-skills-backup" "$(OPENCLAW_CONFIG)"; \
echo "Restored config from backup."; \
else \
echo "Note: No config backup found. You may need to manually revert openclaw.json changes."; \
fi
@echo "Restarting gateway..."
@kill -9 $$(lsof -ti:18789) 2>/dev/null || true
@sleep 2
@openclaw gateway >/dev/null 2>&1 &
@sleep 4
@echo "Reverted to stock openclaw-mem0."
# ============================================================================
# Clean
# ============================================================================
clean: ## Full teardown — stop gateway, remove plugin, clean build
@echo "Stopping gateway..."
@kill -9 $$(lsof -ti:18789) 2>/dev/null || true
@echo "Removing plugin..."
@echo "y" | openclaw plugins uninstall openclaw-mem0 >/dev/null 2>&1 || true
@echo "Cleaning build artifacts..."
@rm -rf dist/ node_modules/
@echo "Clean complete."
+40 -16
View File
@@ -4,10 +4,33 @@
import type { Mem0Config, Mem0Mode } from "./types.ts";
// NOTE: No process.env access in this module. OpenClaw resolves ${VAR}
// syntax in openclaw.json before passing pluginConfig to register().
// Plugin-side env var resolution was removed to clear OpenClaw's
// security scanner warning ("credential harvesting" pattern).
// ============================================================================
// Env Var Resolution
// ============================================================================
function resolveEnvVars(value: string): string {
return value.replace(/\$\{([^}]+)\}/g, (_, envVar) => {
const envValue = process.env[envVar];
if (!envValue) {
throw new Error(`Environment variable ${envVar} is not set`);
}
return envValue;
});
}
function resolveEnvVarsDeep(obj: Record<string, unknown>): Record<string, unknown> {
const result: Record<string, unknown> = {};
for (const [key, value] of Object.entries(obj)) {
if (typeof value === "string") {
result[key] = resolveEnvVars(value);
} else if (value && typeof value === "object" && !Array.isArray(value)) {
result[key] = resolveEnvVarsDeep(value as Record<string, unknown>);
} else {
result[key] = value;
}
}
return result;
}
// ============================================================================
// Default Custom Instructions & Categories
@@ -148,7 +171,6 @@ const ALLOWED_KEYS = [
"searchThreshold",
"topK",
"oss",
"skills",
];
function assertAllowedKeys(
@@ -173,20 +195,27 @@ export const mem0ConfigSchema = {
const mode: Mem0Mode =
cfg.mode === "oss" || cfg.mode === "open-source" ? "open-source" : "platform";
// Platform mode requires apiKey — but don't throw on missing config.
// The plugin should register successfully and log a setup message.
const needsSetup = mode === "platform" && (typeof cfg.apiKey !== "string" || !cfg.apiKey);
// Platform mode requires apiKey
if (mode === "platform") {
if (typeof cfg.apiKey !== "string" || !cfg.apiKey) {
throw new Error(
"apiKey is required for platform mode (set mode: \"open-source\" for self-hosted)",
);
}
}
// OpenClaw resolves ${VAR} in pluginConfig before register() — no plugin-side expansion needed
// Resolve env vars in oss config
let ossConfig: Mem0Config["oss"];
if (cfg.oss && typeof cfg.oss === "object" && !Array.isArray(cfg.oss)) {
ossConfig = cfg.oss as Mem0Config["oss"];
ossConfig = resolveEnvVarsDeep(
cfg.oss as Record<string, unknown>,
) as unknown as Mem0Config["oss"];
}
return {
mode,
apiKey:
typeof cfg.apiKey === "string" ? cfg.apiKey : undefined,
typeof cfg.apiKey === "string" ? resolveEnvVars(cfg.apiKey) : undefined,
userId:
typeof cfg.userId === "string" && cfg.userId ? cfg.userId : "default",
orgId: typeof cfg.orgId === "string" ? cfg.orgId : undefined,
@@ -211,12 +240,7 @@ export const mem0ConfigSchema = {
searchThreshold:
typeof cfg.searchThreshold === "number" ? cfg.searchThreshold : 0.5,
topK: typeof cfg.topK === "number" ? cfg.topK : 5,
needsSetup,
oss: ossConfig,
skills:
cfg.skills && typeof cfg.skills === "object" && !Array.isArray(cfg.skills)
? (cfg.skills as Mem0Config["skills"])
: undefined,
};
},
};
+26
View File
@@ -0,0 +1,26 @@
# OpenClaw + Mem0 Docker Setup
# Copy this file to .env and fill in your values:
# cp .env.example .env
# ── Required (one of these depending on mode) ───────────────────────────────
# Platform mode: Mem0 Cloud API key from https://app.mem0.ai
MEM0_API_KEY=
# OSS mode: OpenAI key for embeddings, LLM, and the OpenClaw agent
# Platform mode: only needed if you want a specific LLM for the agent itself
OPENAI_API_KEY=
# ── Optional ─────────────────────────────────────────────────────────────────
# User ID for memory scoping (defaults to your OS username)
MEM0_USER_ID=
# Web UI port (default: 18789)
OPENCLAW_PORT=18789
# Config directory on host (default: ~/.openclaw)
# OPENCLAW_CONFIG_DIR=~/.openclaw
# Timezone (default: UTC)
TZ=UTC
+102
View File
@@ -0,0 +1,102 @@
# OpenClaw + Mem0 One-Click Docker Setup
Get a working OpenClaw agent with Mem0 persistent memory in under 2 minutes.
## Prerequisites
- [Docker Desktop](https://www.docker.com/products/docker-desktop/) or Docker Engine with Compose v2
- One of:
- **Platform mode**: A Mem0 API key from [app.mem0.ai](https://app.mem0.ai)
- **OSS mode**: An OpenAI API key
## Quick Start
```bash
git clone https://github.com/mem0ai/mem0 && cd mem0/openclaw/docker
./setup.sh
```
The setup script will:
1. Ask you to choose Platform or Open-Source mode
2. Prompt for your API key(s)
3. Start the containers automatically
Then open **http://localhost:18789** to start chatting.
## What Gets Deployed
### Platform Mode
```
┌─────────────────────────┐
│ OpenClaw (port 18789) │
│ + Mem0 Plugin │──→ Mem0 Cloud (app.mem0.ai)
└─────────────────────────┘
```
### OSS Mode
```
┌─────────────────────────┐ ┌─────────────────┐
│ OpenClaw (port 18789) │ │ Qdrant │
│ + Mem0 Plugin │────→│ (port 6333) │
└─────────────────────────┘ │ Vector Storage │
└─────────────────┘
```
## Modes Explained
| Feature | Platform (Mem0 Cloud) | Open-Source (Self-Hosted) |
|---------|----------------------|--------------------------|
| Setup | API key only | API key + Qdrant container |
| Vector storage | Managed by Mem0 | Local Qdrant |
| LLM for extraction | Managed by Mem0 | Your OpenAI key |
| Graph memory | Supported | Not yet |
| Dashboard | app.mem0.ai | CLI commands |
## Configuration
After setup, your config lives at `~/.openclaw/openclaw.json`. You can edit it directly.
Key settings in the `openclaw-mem0` plugin section:
| Setting | Default | Description |
|---------|---------|-------------|
| `autoCapture` | `true` | Auto-store conversation facts |
| `autoRecall` | `true` | Auto-retrieve relevant memories |
| `searchThreshold` | `0.5` | Minimum similarity score (0-1) |
| `topK` | `5` | Max memories to retrieve |
To change the port or other Docker settings, edit `.env` in this directory.
## Troubleshooting
**Port 18789 already in use**
```bash
lsof -i :18789
# Kill the process or change OPENCLAW_PORT in .env
```
**API key errors**
- Platform: Verify your key at [app.mem0.ai](https://app.mem0.ai)
- OSS: Ensure `OPENAI_API_KEY` is valid and has credits
**Containers won't start**
```bash
docker compose logs
# or for OSS mode:
docker compose -f docker-compose.yml -f docker-compose.oss.yml logs
```
**Docker not found**
Install [Docker Desktop](https://www.docker.com/products/docker-desktop/) or follow the [engine install guide](https://docs.docker.com/engine/install/).
**Plugin not loading**
```bash
# Reinstall the plugin manually
docker compose run --rm openclaw openclaw plugins install @mem0/openclaw-mem0
```
## Links
- [Mem0 Documentation](https://docs.mem0.ai)
- [Mem0 OpenClaw Plugin](https://github.com/mem0ai/mem0/tree/main/openclaw)
- [OpenClaw Documentation](https://openclaw.com/docs)
+21
View File
@@ -0,0 +1,21 @@
{
"plugins": {
"openclaw-mem0": {
"mode": "open-source",
"userId": "__MEM0_USER_ID__",
"autoCapture": true,
"autoRecall": true,
"searchThreshold": 0.5,
"topK": 5,
"oss": {
"vectorStore": {
"provider": "qdrant",
"config": {
"host": "qdrant",
"port": 6333
}
}
}
}
}
}
@@ -0,0 +1,13 @@
{
"plugins": {
"openclaw-mem0": {
"mode": "platform",
"apiKey": "${MEM0_API_KEY}",
"userId": "__MEM0_USER_ID__",
"autoCapture": true,
"autoRecall": true,
"searchThreshold": 0.5,
"topK": 5
}
}
}
+23
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@@ -0,0 +1,23 @@
services:
qdrant:
image: qdrant/qdrant:latest
volumes:
- qdrant_data:/qdrant/storage
# No host port exposure — only accessible via Docker network (openclaw → qdrant:6333)
# Uncomment the next line for debugging: ports: ["127.0.0.1:6333:6333"]
expose:
- "6333"
restart: unless-stopped
healthcheck:
test: ["CMD-SHELL", "bash -c ':> /dev/tcp/localhost/6333' || exit 1"]
interval: 10s
timeout: 3s
retries: 5
openclaw:
depends_on:
qdrant:
condition: service_healthy
volumes:
qdrant_data:
+22
View File
@@ -0,0 +1,22 @@
services:
openclaw:
image: ghcr.io/openclaw/openclaw:latest
environment:
HOME: /home/node
TERM: xterm-256color
OPENAI_API_KEY: ${OPENAI_API_KEY:-}
MEM0_API_KEY: ${MEM0_API_KEY:-}
TZ: ${TZ:-UTC}
volumes:
- ${OPENCLAW_CONFIG_DIR:-~/.openclaw}:/home/node/.openclaw
ports:
# Bound to localhost only for security — change to "18789:18789" for LAN access
- "127.0.0.1:${OPENCLAW_PORT:-18789}:18789"
restart: unless-stopped
command: ["node", "dist/index.js", "gateway", "--bind", "lan", "--port", "18789"]
healthcheck:
test: ["CMD", "node", "-e", "fetch('http://127.0.0.1:18789/healthz').then(r=>process.exit(r.ok?0:1)).catch(()=>process.exit(1))"]
interval: 15s
timeout: 5s
retries: 5
start_period: 30s
+268
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@@ -0,0 +1,268 @@
#!/usr/bin/env bash
set -euo pipefail
# ============================================================================
# OpenClaw + Mem0 One-Click Setup
# ============================================================================
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
OPENCLAW_CONFIG_DIR="${OPENCLAW_CONFIG_DIR:-$HOME/.openclaw}"
OPENCLAW_PORT="${OPENCLAW_PORT:-18789}"
# Colors (disabled if not a terminal)
if [ -t 1 ]; then
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
BOLD='\033[1m'
NC='\033[0m'
else
RED='' GREEN='' YELLOW='' BLUE='' BOLD='' NC=''
fi
info() { echo -e "${BLUE}ℹ${NC} $*"; }
ok() { echo -e "${GREEN}✔${NC} $*"; }
warn() { echo -e "${YELLOW}⚠${NC} $*"; }
error() { echo -e "${RED}✖${NC} $*" >&2; }
header() { echo -e "\n${BOLD}$*${NC}"; }
# ============================================================================
# Step 1: Check prerequisites
# ============================================================================
header "Checking prerequisites..."
if ! command -v docker &>/dev/null; then
error "Docker is not installed."
echo " Install Docker Desktop: https://www.docker.com/products/docker-desktop/"
echo " Or Docker Engine: https://docs.docker.com/engine/install/"
exit 1
fi
if ! docker compose version &>/dev/null; then
error "Docker Compose v2 is not available."
echo " Ensure you have Docker Compose v2 (comes with Docker Desktop)."
echo " Docs: https://docs.docker.com/compose/install/"
exit 1
fi
if ! docker info &>/dev/null 2>&1; then
error "Docker daemon is not running. Please start Docker and try again."
exit 1
fi
ok "Docker and Docker Compose are available."
# Check for port conflict
if command -v lsof &>/dev/null && lsof -i :"$OPENCLAW_PORT" &>/dev/null; then
warn "Port $OPENCLAW_PORT is already in use."
echo " Check what's using it: lsof -i :$OPENCLAW_PORT"
echo " Or set a different port: OPENCLAW_PORT=18790 ./setup.sh"
exit 1
fi
# ============================================================================
# Step 2: Check for existing config
# ============================================================================
if [ -f "$OPENCLAW_CONFIG_DIR/openclaw.json" ]; then
warn "Existing config found at $OPENCLAW_CONFIG_DIR/openclaw.json"
read -rp " Overwrite with new config? [y/N] " overwrite
if [[ ! "$overwrite" =~ ^[Yy]$ ]]; then
info "Keeping existing config. Skipping config generation."
SKIP_CONFIG=true
else
SKIP_CONFIG=false
fi
else
SKIP_CONFIG=false
fi
# ============================================================================
# Step 3: Choose mode
# ============================================================================
header "Choose your setup mode:"
echo ""
echo " 1) Platform — Uses Mem0 Cloud (managed storage, dashboard at app.mem0.ai)"
echo " 2) OSS — Self-hosted with local Qdrant (fully offline-capable)"
echo ""
while true; do
read -rp "Enter 1 or 2: " mode_choice
case "$mode_choice" in
1) MODE="platform"; break ;;
2) MODE="oss"; break ;;
*) echo " Please enter 1 or 2." ;;
esac
done
ok "Mode: $MODE"
# ============================================================================
# Step 4: Collect API keys
# ============================================================================
header "API Key Configuration"
MEM0_API_KEY=""
OPENAI_API_KEY=""
if [ "$MODE" = "platform" ]; then
echo " Platform mode requires a Mem0 API key from https://app.mem0.ai"
echo ""
while true; do
read -rp " Mem0 API Key: " MEM0_API_KEY
if [ -n "$MEM0_API_KEY" ]; then break; fi
warn "API key is required for platform mode."
done
echo ""
read -rp " OpenAI API Key (optional, for agent LLM — press Enter to skip): " OPENAI_API_KEY
else
echo " OSS mode requires an OpenAI API key for embeddings, LLM, and the agent."
echo ""
while true; do
read -rp " OpenAI API Key: " OPENAI_API_KEY
if [ -n "$OPENAI_API_KEY" ]; then break; fi
warn "API key is required for OSS mode."
done
fi
ok "API keys configured."
# ============================================================================
# Step 5: User ID
# ============================================================================
DEFAULT_USER_ID="$(whoami)"
read -rp " User ID for memory scoping [${DEFAULT_USER_ID}]: " MEM0_USER_ID
MEM0_USER_ID="${MEM0_USER_ID:-$DEFAULT_USER_ID}"
ok "User ID: $MEM0_USER_ID"
# ============================================================================
# Step 6: Generate .env
# ============================================================================
header "Generating configuration..."
cat > "$SCRIPT_DIR/.env" <<EOF
# Generated by setup.sh on $(date -u +"%Y-%m-%dT%H:%M:%SZ")
MEM0_API_KEY=${MEM0_API_KEY}
OPENAI_API_KEY=${OPENAI_API_KEY}
MEM0_USER_ID=${MEM0_USER_ID}
OPENCLAW_PORT=${OPENCLAW_PORT}
OPENCLAW_CONFIG_DIR=${OPENCLAW_CONFIG_DIR}
TZ=${TZ:-UTC}
EOF
ok "Created .env"
# ============================================================================
# Step 7: Generate OpenClaw config
# ============================================================================
if [ "$SKIP_CONFIG" = false ]; then
mkdir -p "$OPENCLAW_CONFIG_DIR"
if [ "$MODE" = "platform" ]; then
TEMPLATE="$SCRIPT_DIR/config/openclaw.platform.json"
else
TEMPLATE="$SCRIPT_DIR/config/openclaw.oss.json"
fi
# Substitute the user ID placeholder (apiKey uses env var resolution at runtime)
sed "s/__MEM0_USER_ID__/${MEM0_USER_ID}/g" "$TEMPLATE" > "$OPENCLAW_CONFIG_DIR/openclaw.json"
ok "Created $OPENCLAW_CONFIG_DIR/openclaw.json"
fi
# ============================================================================
# Step 8: Install Mem0 plugin
# ============================================================================
header "Installing Mem0 plugin..."
COMPOSE_CMD="docker compose"
if [ "$MODE" = "oss" ]; then
COMPOSE_CMD="docker compose -f docker-compose.yml -f docker-compose.oss.yml"
fi
cd "$SCRIPT_DIR"
if $COMPOSE_CMD run --rm openclaw openclaw plugins install @mem0/openclaw-mem0 2>/dev/null; then
ok "Mem0 plugin installed."
else
warn "Plugin install via Docker failed. This may be normal on first run."
echo " You can install manually later:"
echo " $COMPOSE_CMD run --rm openclaw openclaw plugins install @mem0/openclaw-mem0"
fi
# ============================================================================
# Step 9: Copy onboarding skill
# ============================================================================
SKILL_DIR="$OPENCLAW_CONFIG_DIR/workspace/skills/mem0-onboarding"
mkdir -p "$SKILL_DIR"
cp "$SCRIPT_DIR/skills/mem0-onboarding/SKILL.md" "$SKILL_DIR/SKILL.md"
ok "Onboarding skill installed."
# ============================================================================
# Step 10: Start containers
# ============================================================================
header "Starting OpenClaw..."
$COMPOSE_CMD up -d
# ============================================================================
# Step 11: Health check
# ============================================================================
info "Waiting for OpenClaw to be ready..."
HEALTH_URL="http://127.0.0.1:${OPENCLAW_PORT}/healthz"
TIMEOUT=90
ELAPSED=0
INTERVAL=3
while [ $ELAPSED -lt $TIMEOUT ]; do
if curl -sf "$HEALTH_URL" &>/dev/null; then
echo ""
ok "OpenClaw is ready!"
break
fi
printf "."
sleep $INTERVAL
ELAPSED=$((ELAPSED + INTERVAL))
done
if [ $ELAPSED -ge $TIMEOUT ]; then
echo ""
warn "Health check timed out after ${TIMEOUT}s."
echo " OpenClaw may still be starting. Check logs:"
echo " cd $SCRIPT_DIR && $COMPOSE_CMD logs -f"
exit 1
fi
# ============================================================================
# Done!
# ============================================================================
echo ""
header "Setup complete!"
echo ""
echo " Open the web UI: ${BOLD}http://localhost:${OPENCLAW_PORT}${NC}"
echo " Mode: ${MODE}"
echo " User ID: ${MEM0_USER_ID}"
echo " Config: ${OPENCLAW_CONFIG_DIR}/openclaw.json"
echo ""
echo " ${BLUE}Tip:${NC} Your first chat will trigger the Mem0 onboarding skill."
echo " Try telling the agent something about yourself to test memory!"
echo ""
echo " Useful commands:"
echo " View logs: cd $SCRIPT_DIR && $COMPOSE_CMD logs -f"
echo " Stop: cd $SCRIPT_DIR && $COMPOSE_CMD down"
echo " Restart: cd $SCRIPT_DIR && $COMPOSE_CMD restart"
echo ""
@@ -0,0 +1,37 @@
# Mem0 Memory Onboarding
Welcome! This OpenClaw agent has **persistent memory** powered by Mem0. It remembers things across sessions so you never have to repeat yourself.
## How It Works
- **Auto-Capture**: After each conversation turn, important facts are automatically extracted and stored.
- **Auto-Recall**: Before each turn, relevant memories are retrieved to give context.
## Quick Demo — Try These 3 Steps
### Step 1: Tell me something about yourself
Share a preference, a project you're working on, or a fact about yourself. For example:
> "I prefer TypeScript over JavaScript and I'm building a SaaS app called Acme."
### Step 2: Confirm storage
After you share, I'll confirm that the information was captured. You can also check with:
> "What do you remember about me?"
### Step 3: Verify persistence
Start a **new session** (close this chat and open a new one), then ask:
> "What do you know about me?"
Your memories carry over — that's the magic of persistent memory.
## Power User Commands
If your OpenClaw setup includes the Mem0 CLI commands:
- `openclaw mem0 search "query"` — Search your memories
- `openclaw mem0 stats` — View memory statistics
- `openclaw mem0 list` — List recent memories
## Learn More
- [Mem0 Documentation](https://docs.mem0.ai)
- [OpenClaw Plugin README](https://github.com/mem0ai/mem0/tree/main/openclaw)
+280
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@@ -0,0 +1,280 @@
#!/usr/bin/env bash
set -euo pipefail
# ============================================================================
# Test script for OpenClaw + Mem0 Docker setup
# Validates everything works without needing real API keys
# ============================================================================
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
PASS=0
FAIL=0
TESTS=()
pass() { PASS=$((PASS + 1)); TESTS+=("✔ $1"); echo " ✔ $1"; }
fail() { FAIL=$((FAIL + 1)); TESTS+=("✖ $1: $2"); echo " ✖ $1: $2"; }
echo ""
echo "═══════════════════════════════════════════════════"
echo " OpenClaw + Mem0 Docker Setup — Test Suite"
echo "═══════════════════════════════════════════════════"
# ── Prerequisites ────────────────────────────────────────────────────────────
echo ""
echo "▸ Prerequisites"
if command -v docker &>/dev/null; then
pass "Docker installed"
else
fail "Docker installed" "docker not found"
fi
if docker compose version &>/dev/null; then
pass "Docker Compose v2 available"
else
fail "Docker Compose v2 available" "docker compose not found"
fi
if docker info &>/dev/null 2>&1; then
pass "Docker daemon running"
else
fail "Docker daemon running" "daemon not responding"
fi
# ── File structure ───────────────────────────────────────────────────────────
echo ""
echo "▸ File structure"
EXPECTED_FILES=(
"setup.sh"
"docker-compose.yml"
"docker-compose.oss.yml"
".env.example"
"config/openclaw.platform.json"
"config/openclaw.oss.json"
"skills/mem0-onboarding/SKILL.md"
"README.md"
)
for f in "${EXPECTED_FILES[@]}"; do
if [ -f "$SCRIPT_DIR/$f" ]; then
pass "File exists: $f"
else
fail "File exists: $f" "missing"
fi
done
if [ -x "$SCRIPT_DIR/setup.sh" ]; then
pass "setup.sh is executable"
else
fail "setup.sh is executable" "not executable"
fi
# ── Bash syntax ──────────────────────────────────────────────────────────────
echo ""
echo "▸ Script syntax"
if bash -n "$SCRIPT_DIR/setup.sh" 2>&1; then
pass "setup.sh syntax valid"
else
fail "setup.sh syntax valid" "syntax errors"
fi
# ── JSON validity ────────────────────────────────────────────────────────────
echo ""
echo "▸ JSON configs"
for json_file in config/openclaw.platform.json config/openclaw.oss.json; do
if python3 -c "import json; json.load(open('$SCRIPT_DIR/$json_file'))" 2>/dev/null; then
pass "$json_file is valid JSON"
else
fail "$json_file is valid JSON" "parse error"
fi
done
# Check platform config has expected fields
if python3 -c "
import json, sys
c = json.load(open('$SCRIPT_DIR/config/openclaw.platform.json'))
p = c['plugins']['openclaw-mem0']
assert p['mode'] == 'platform', 'wrong mode'
assert p['apiKey'] == '\${MEM0_API_KEY}', 'apiKey not using env var'
assert p['userId'] == '__MEM0_USER_ID__', 'userId placeholder missing'
assert p['autoCapture'] is True
assert p['autoRecall'] is True
" 2>/dev/null; then
pass "Platform config has correct structure"
else
fail "Platform config has correct structure" "missing or wrong fields"
fi
# Check OSS config has Qdrant vector store
if python3 -c "
import json
c = json.load(open('$SCRIPT_DIR/config/openclaw.oss.json'))
p = c['plugins']['openclaw-mem0']
assert p['mode'] == 'open-source', 'wrong mode'
vs = p['oss']['vectorStore']
assert vs['provider'] == 'qdrant'
assert vs['config']['host'] == 'qdrant'
assert vs['config']['port'] == 6333
" 2>/dev/null; then
pass "OSS config has Qdrant vector store"
else
fail "OSS config has Qdrant vector store" "missing or wrong fields"
fi
# ── Docker Compose validation ────────────────────────────────────────────────
echo ""
echo "▸ Docker Compose validation"
cd "$SCRIPT_DIR"
# Create a temporary .env so compose can resolve variables
TEMP_ENV=false
if [ ! -f .env ]; then
cat > .env <<'EOF'
MEM0_API_KEY=test-key-for-validation
OPENAI_API_KEY=test-key-for-validation
MEM0_USER_ID=testuser
OPENCLAW_PORT=18789
OPENCLAW_CONFIG_DIR=/tmp/openclaw-test
TZ=UTC
EOF
TEMP_ENV=true
fi
if docker compose config --quiet 2>/dev/null; then
pass "docker-compose.yml is valid"
else
fail "docker-compose.yml is valid" "$(docker compose config 2>&1 | tail -1)"
fi
if docker compose -f docker-compose.yml -f docker-compose.oss.yml config --quiet 2>/dev/null; then
pass "docker-compose.oss.yml override is valid"
else
fail "docker-compose.oss.yml override is valid" "$(docker compose -f docker-compose.yml -f docker-compose.oss.yml config 2>&1 | tail -1)"
fi
# Verify services are correctly defined
PLATFORM_SERVICES=$(docker compose config --services 2>/dev/null)
if echo "$PLATFORM_SERVICES" | grep -q "openclaw"; then
pass "Platform mode defines 'openclaw' service"
else
fail "Platform mode defines 'openclaw' service" "service not found"
fi
OSS_SERVICES=$(docker compose -f docker-compose.yml -f docker-compose.oss.yml config --services 2>/dev/null)
if echo "$OSS_SERVICES" | grep -q "qdrant"; then
pass "OSS mode adds 'qdrant' service"
else
fail "OSS mode adds 'qdrant' service" "service not found"
fi
# Verify port binding is localhost-only
PORT_CONFIG=$(docker compose config 2>/dev/null | grep -A5 "published" | head -10)
if docker compose config 2>/dev/null | grep -q "127.0.0.1"; then
pass "Port is bound to 127.0.0.1 (localhost only)"
else
fail "Port is bound to 127.0.0.1 (localhost only)" "binding not found"
fi
# Verify healthcheck is defined
if docker compose config 2>/dev/null | grep -q "healthz"; then
pass "Healthcheck is configured"
else
fail "Healthcheck is configured" "healthcheck not found"
fi
# ── Docker image pull test ───────────────────────────────────────────────────
echo ""
echo "▸ Docker image availability"
# Just check if the image reference is parseable (don't actually pull — too slow for a test)
IMAGE=$(docker compose config 2>/dev/null | grep "image:" | head -1 | awk '{print $2}')
if [ -n "$IMAGE" ]; then
pass "OpenClaw image reference: $IMAGE"
else
fail "OpenClaw image reference" "could not extract image name"
fi
QDRANT_IMAGE=$(docker compose -f docker-compose.yml -f docker-compose.oss.yml config 2>/dev/null | grep "image:" | grep qdrant | awk '{print $2}')
if [ -n "$QDRANT_IMAGE" ]; then
pass "Qdrant image reference: $QDRANT_IMAGE"
else
fail "Qdrant image reference" "could not extract image name"
fi
# ── setup.sh simulation ─────────────────────────────────────────────────────
echo ""
echo "▸ setup.sh config generation simulation"
# Test the sed substitution that setup.sh does
TEST_CONFIG_DIR=$(mktemp -d)
sed "s/__MEM0_USER_ID__/testuser/g" "$SCRIPT_DIR/config/openclaw.platform.json" > "$TEST_CONFIG_DIR/openclaw.json"
if python3 -c "
import json
c = json.load(open('$TEST_CONFIG_DIR/openclaw.json'))
p = c['plugins']['openclaw-mem0']
assert p['userId'] == 'testuser', f'expected testuser, got {p[\"userId\"]}'
assert p['apiKey'] == '\${MEM0_API_KEY}', 'apiKey should remain as env var template'
" 2>/dev/null; then
pass "sed substitution works correctly (userId baked, apiKey templated)"
else
fail "sed substitution" "userId not replaced or apiKey was wrongly replaced"
fi
rm -rf "$TEST_CONFIG_DIR"
# OSS config substitution
TEST_CONFIG_DIR=$(mktemp -d)
sed "s/__MEM0_USER_ID__/testuser/g" "$SCRIPT_DIR/config/openclaw.oss.json" > "$TEST_CONFIG_DIR/openclaw.json"
if python3 -c "
import json
c = json.load(open('$TEST_CONFIG_DIR/openclaw.json'))
p = c['plugins']['openclaw-mem0']
assert p['userId'] == 'testuser'
assert p['oss']['vectorStore']['config']['host'] == 'qdrant'
" 2>/dev/null; then
pass "OSS config sed substitution works correctly"
else
fail "OSS config sed substitution" "fields incorrect after substitution"
fi
rm -rf "$TEST_CONFIG_DIR"
# ── Cleanup ──────────────────────────────────────────────────────────────────
if [ "$TEMP_ENV" = true ]; then
rm -f "$SCRIPT_DIR/.env"
fi
# ── Summary ──────────────────────────────────────────────────────────────────
echo ""
echo "═══════════════════════════════════════════════════"
TOTAL=$((PASS + FAIL))
if [ $FAIL -eq 0 ]; then
echo " All $TOTAL tests passed ✔"
else
echo " $PASS/$TOTAL passed, $FAIL failed"
echo ""
for t in "${TESTS[@]}"; do
if [[ "$t" == "✖"* ]]; then
echo " $t"
fi
done
fi
echo "═══════════════════════════════════════════════════"
echo ""
exit $FAIL
-197
View File
@@ -1,197 +0,0 @@
/**
* Dream Gate — activity tracking, gate logic, and lock mechanism
* for automatic memory consolidation.
*
* State persists in the plugin's stateDir so it survives gateway restarts.
* Lock prevents concurrent consolidation runs.
*/
import * as fs from "fs";
import * as path from "path";
// ============================================================================
// Types
// ============================================================================
interface DreamState {
lastConsolidatedAt: number; // ms since epoch, 0 = never
sessionsSince: number; // interactive sessions since last consolidation
lastSessionId: string | null;
}
interface DreamLock {
pid: number;
startedAt: number;
}
interface DreamGateConfig {
minHours: number;
minSessions: number;
minMemories: number;
}
const DEFAULTS: DreamGateConfig = {
minHours: 24,
minSessions: 5,
minMemories: 20,
};
const LOCK_STALE_MS = 60 * 60 * 1000; // 1 hour
// ============================================================================
// State Persistence
// ============================================================================
function statePath(stateDir: string): string {
return path.join(stateDir, "dream-state.json");
}
function lockPath(stateDir: string): string {
return path.join(stateDir, "dream.lock");
}
function ensureDir(dir: string): void {
try {
fs.mkdirSync(dir, { recursive: true });
} catch { /* exists */ }
}
function readState(stateDir: string): DreamState {
try {
const raw = fs.readFileSync(statePath(stateDir), "utf-8");
return JSON.parse(raw) as DreamState;
} catch {
return { lastConsolidatedAt: 0, sessionsSince: 0, lastSessionId: null };
}
}
function writeState(stateDir: string, state: DreamState): void {
ensureDir(stateDir);
fs.writeFileSync(statePath(stateDir), JSON.stringify(state, null, 2));
}
// ============================================================================
// Session Tracking
// ============================================================================
/**
* Called from agent_end on every interactive turn.
* Increments session counter (deduped by sessionId).
*/
export function incrementSessionCount(stateDir: string, sessionId: string): void {
const state = readState(stateDir);
if (state.lastSessionId !== sessionId) {
state.sessionsSince++;
state.lastSessionId = sessionId;
writeState(stateDir, state);
}
}
// ============================================================================
// Gate Logic
// ============================================================================
/**
* Check cheap gates (time + sessions). These are local file reads only.
* Call this BEFORE any API calls. If this fails, skip the expensive
* memory count check entirely.
*/
export function checkCheapGates(
stateDir: string,
config: { minHours?: number; minSessions?: number },
): { proceed: boolean; reason?: string } {
const minHours = config.minHours ?? DEFAULTS.minHours;
const minSessions = config.minSessions ?? DEFAULTS.minSessions;
const state = readState(stateDir);
// Gate 1: Time (one local file read)
const hoursSince = (Date.now() - state.lastConsolidatedAt) / 3_600_000;
if (hoursSince < minHours) {
return { proceed: false, reason: `time: ${hoursSince.toFixed(1)}h < ${minHours}h` };
}
// Gate 2: Sessions (same file, already read)
if (state.sessionsSince < minSessions) {
return { proceed: false, reason: `sessions: ${state.sessionsSince} < ${minSessions}` };
}
return { proceed: true };
}
/**
* Check expensive memory count gate. Only call AFTER checkCheapGates passes.
*/
export function checkMemoryGate(
memoryCount: number,
config: { minMemories?: number },
): { pass: boolean; reason?: string } {
const minMemories = config.minMemories ?? DEFAULTS.minMemories;
if (memoryCount < minMemories) {
return { pass: false, reason: `memories: ${memoryCount} < ${minMemories}` };
}
return { pass: true };
}
// ============================================================================
// Lock
// ============================================================================
/**
* Try to acquire the dream lock. Returns true if acquired.
* Stale locks (older than 1 hour) are reclaimed.
*/
export function acquireDreamLock(stateDir: string): boolean {
ensureDir(stateDir);
const lp = lockPath(stateDir);
// Check existing lock
try {
const raw = fs.readFileSync(lp, "utf-8");
const lock = JSON.parse(raw) as DreamLock;
const age = Date.now() - lock.startedAt;
if (age < LOCK_STALE_MS) {
return false; // Held and not stale
}
// Stale lock — remove it before attempting exclusive create
try { fs.unlinkSync(lp); } catch { /* race ok */ }
} catch {
// No lock file, proceed
}
// Atomic create with exclusive flag (wx). If two processes race,
// only one succeeds. The other gets EEXIST.
const lock: DreamLock = { pid: process.pid, startedAt: Date.now() };
try {
fs.writeFileSync(lp, JSON.stringify(lock), { flag: "wx" });
return true;
} catch {
return false; // Lost race
}
}
/**
* Release the dream lock and record successful completion.
*/
export function releaseDreamLock(stateDir: string): void {
try {
fs.unlinkSync(lockPath(stateDir));
} catch { /* already gone */ }
}
/**
* Record that consolidation completed. Resets session counter.
*/
export function recordDreamCompletion(stateDir: string): void {
const state = readState(stateDir);
state.lastConsolidatedAt = Date.now();
state.sessionsSince = 0;
state.lastSessionId = null;
writeState(stateDir, state);
}
/**
* Get current dream state for logging/diagnostics.
*/
export function getDreamState(stateDir: string): DreamState {
return readState(stateDir);
}
+21 -614
View File
@@ -38,22 +38,6 @@ import {
isNonInteractiveTrigger,
isSubagentSession,
} from "./isolation.ts";
import {
loadTriagePrompt,
loadDreamPrompt,
resolveCategories,
ttlToExpirationDate,
isSkillsMode,
} from "./skill-loader.ts";
import { recall as skillRecall, sanitizeQuery } from "./recall.ts";
import {
incrementSessionCount,
checkCheapGates,
checkMemoryGate,
acquireDreamLock,
releaseDreamLock,
recordDreamCompletion,
} from "./dream-gate.ts";
// ============================================================================
// Re-exports (for tests and external consumers)
@@ -94,23 +78,6 @@ const memoryPlugin = {
register(api: OpenClawPluginApi) {
const cfg = mem0ConfigSchema.parse(api.pluginConfig);
if (cfg.needsSetup) {
api.logger.warn(
"openclaw-mem0: API key not configured. Memory features are disabled.\n" +
" To set up, run:\n" +
' openclaw config set plugins.entries.openclaw-mem0.config.apiKey "m0-your-key"\n' +
" openclaw gateway restart\n" +
" Get your key at: https://app.mem0.ai/dashboard/api-keys"
);
api.registerService({
id: "openclaw-mem0",
start: () => { api.logger.info("openclaw-mem0: waiting for API key configuration"); },
stop: () => {},
});
return;
}
const provider = createProvider(cfg, api);
// Track current session ID for tool-level session scoping.
@@ -128,9 +95,8 @@ const memoryPlugin = {
const _resolveUserId = (opts: { agentId?: string; userId?: string }) =>
resolveUserId(cfg.userId, opts, currentSessionId);
const skillsActive = isSkillsMode(cfg.skills);
api.logger.info(
`openclaw-mem0: registered (mode: ${cfg.mode}, user: ${cfg.userId}, graph: ${cfg.enableGraph}, autoRecall: ${cfg.autoRecall}, autoCapture: ${cfg.autoCapture}, skills: ${skillsActive})`,
`openclaw-mem0: registered (mode: ${cfg.mode}, user: ${cfg.userId}, graph: ${cfg.enableGraph}, autoRecall: ${cfg.autoRecall}, autoCapture: ${cfg.autoCapture})`,
);
// Helper: build add options
@@ -149,24 +115,22 @@ const memoryPlugin = {
return opts;
}
// Helper: build search options (skills config overrides legacy defaults)
// Helper: build search options
function buildSearchOptions(
userIdOverride?: string,
limit?: number,
runId?: string,
sessionKey?: string,
): SearchOptions {
const recallCfg = cfg.skills?.recall;
const opts: SearchOptions = {
user_id: userIdOverride || _effectiveUserId(sessionKey),
top_k: limit ?? cfg.topK,
limit: limit ?? cfg.topK,
threshold: recallCfg?.threshold ?? cfg.searchThreshold,
keyword_search: recallCfg?.keywordSearch !== false,
reranking: recallCfg?.rerank !== false,
threshold: cfg.searchThreshold,
keyword_search: true,
reranking: true,
source: "OPENCLAW",
};
if (recallCfg?.filterMemories) opts.filter_memories = true;
if (runId) opts.run_id = runId;
return opts;
}
@@ -175,7 +139,7 @@ const memoryPlugin = {
// Tools
// ========================================================================
registerTools(api, provider, cfg, _resolveUserId, _effectiveUserId, _agentUserId, buildAddOptions, buildSearchOptions, () => currentSessionId, skillsActive);
registerTools(api, provider, cfg, _resolveUserId, _effectiveUserId, _agentUserId, buildAddOptions, buildSearchOptions, () => currentSessionId);
// ========================================================================
// CLI Commands
@@ -189,22 +153,17 @@ const memoryPlugin = {
registerHooks(api, provider, cfg, _effectiveUserId, buildAddOptions, buildSearchOptions, {
setCurrentSessionId: (id: string) => { currentSessionId = id; },
getStateDir: () => pluginStateDir,
}, skillsActive);
});
// ========================================================================
// Service
// ========================================================================
// State directory for persistent gate tracking (dream consolidation)
let pluginStateDir: string | undefined;
api.registerService({
id: "openclaw-mem0",
start: (...args: any[]) => {
pluginStateDir = args[0]?.stateDir;
start: () => {
api.logger.info(
`openclaw-mem0: initialized (mode: ${cfg.mode}, user: ${cfg.userId}, autoRecall: ${cfg.autoRecall}, autoCapture: ${cfg.autoCapture}, stateDir: ${pluginStateDir ?? "none"})`,
`openclaw-mem0: initialized (mode: ${cfg.mode}, user: ${cfg.userId}, autoRecall: ${cfg.autoRecall}, autoCapture: ${cfg.autoCapture})`,
);
},
stop: () => {
@@ -228,7 +187,6 @@ function registerTools(
buildAddOptions: (userIdOverride?: string, runId?: string, sessionKey?: string) => AddOptions,
buildSearchOptions: (userIdOverride?: string, limit?: number, runId?: string, sessionKey?: string) => SearchOptions,
getCurrentSessionId: () => string | undefined,
skillsActive: boolean = false,
) {
api.registerTool(
{
@@ -265,28 +223,14 @@ function registerTools(
'Memory scope: "session" (current session only), "long-term" (user-scoped only), or "all" (both). Default: "all"',
}),
),
categories: Type.Optional(
Type.Array(Type.String(), {
description:
'Filter results by category (e.g. ["identity", "preference"]). Only returns memories tagged with these categories.',
}),
),
filters: Type.Optional(
Type.Record(Type.String(), Type.Unknown(), {
description:
'Advanced filters object. Supports date ranges and metadata filtering. Examples: {"created_at": {"gte": "2026-03-01"}} for recent memories, {"AND": [{"categories": {"contains": "decision"}}, {"created_at": {"gte": "2026-01-01"}}]} for decisions this year. Operators: eq, ne, gt, gte, lt, lte, in, contains, icontains. Logical: AND, OR, NOT.',
}),
),
}),
async execute(_toolCallId, params) {
const { query, limit, userId, agentId, scope = "all", categories: filterCategories, filters: agentFilters } = params as {
const { query, limit, userId, agentId, scope = "all" } = params as {
query: string;
limit?: number;
userId?: string;
agentId?: string;
scope?: "session" | "long-term" | "all";
categories?: string[];
filters?: Record<string, unknown>;
};
try {
@@ -294,36 +238,29 @@ function registerTools(
const uid = _resolveUserId({ agentId, userId });
const currentSessionId = getCurrentSessionId();
// Apply agent-provided filters to search options
const applyFilters = (opts: SearchOptions): SearchOptions => {
if (filterCategories?.length) opts.categories = filterCategories;
if (agentFilters) opts.filters = agentFilters;
return opts;
};
if (scope === "session") {
if (currentSessionId) {
results = await provider.search(
query,
applyFilters(buildSearchOptions(uid, limit, currentSessionId)),
buildSearchOptions(uid, limit, currentSessionId),
);
}
} else if (scope === "long-term") {
results = await provider.search(
query,
applyFilters(buildSearchOptions(uid, limit)),
buildSearchOptions(uid, limit),
);
} else {
// "all" — search both scopes and combine
const longTermResults = await provider.search(
query,
applyFilters(buildSearchOptions(uid, limit)),
buildSearchOptions(uid, limit),
);
let sessionResults: MemoryItem[] = [];
if (currentSessionId) {
sessionResults = await provider.search(
query,
applyFilters(buildSearchOptions(uid, limit, currentSessionId)),
buildSearchOptions(uid, limit, currentSessionId),
);
}
// Deduplicate by ID, preferring long-term
@@ -390,25 +327,7 @@ function registerTools(
description:
"Save important information in long-term memory via Mem0. Use for preferences, facts, decisions, and anything worth remembering.",
parameters: Type.Object({
text: Type.Optional(
Type.String({ description: "Single fact to remember. Use 'facts' array instead when storing multiple facts from one conversation turn." }),
),
facts: Type.Optional(
Type.Array(Type.String(), {
description: "Array of facts to store in one call. ALL facts MUST share the same category. If a turn has facts in different categories, make one call per category. Category determines retention policy (TTL, immutability).",
}),
),
category: Type.Optional(
Type.String({
description:
'Memory category. Determines retention policy (TTL, immutability). All facts in this call inherit this category. Options: "identity", "preference", "decision", "rule", "project", "configuration", "technical", "relationship"',
}),
),
importance: Type.Optional(
Type.Number({
description: "Importance override (0.0-1.0). Omit to use category default. Applies to all facts in this call. Defaults: identity/config 0.95, rules 0.90, preferences 0.85, decisions 0.80, projects 0.75, operational 0.60",
}),
),
text: Type.String({ description: "Information to remember" }),
userId: Type.Optional(
Type.String({
description: "User ID to scope this memory",
@@ -422,7 +341,7 @@ function registerTools(
),
metadata: Type.Optional(
Type.Record(Type.String(), Type.Unknown(), {
description: "Additional metadata to attach to this memory",
description: "Optional metadata to attach to this memory",
}),
),
longTerm: Type.Optional(
@@ -433,121 +352,22 @@ function registerTools(
),
}),
async execute(_toolCallId, params) {
const p = params as {
text?: string;
facts?: string[];
category?: string;
importance?: number;
const { text, userId, agentId, longTerm = true } = params as {
text: string;
userId?: string;
agentId?: string;
metadata?: Record<string, unknown>;
longTerm?: boolean;
};
const { userId, agentId, longTerm = true } = p;
// Resolve facts: prefer 'facts' array, fall back to single 'text'
const allFacts: string[] = p.facts?.length ? p.facts : (p.text ? [p.text] : []);
if (allFacts.length === 0) {
return {
content: [{ type: "text", text: "No facts provided. Pass 'text' or 'facts' array." }],
details: { error: "missing_facts" },
};
}
try {
const currentSessionId = getCurrentSessionId();
// Block subagent writes at the tool level. The system prompt
// instructs subagents not to store, but a disobedient tool call
// would write to a transient namespace that is never read again.
if (isSubagentSession(currentSessionId)) {
api.logger.warn("openclaw-mem0: blocked memory_store from subagent session");
return {
content: [{ type: "text", text: "Memory storage is not available in subagent sessions. The main agent handles memory." }],
details: { error: "subagent_blocked" },
};
}
const uid = _resolveUserId({ agentId, userId });
const currentSessionId = getCurrentSessionId();
const runId = !longTerm && currentSessionId ? currentSessionId : undefined;
// Skills mode: bypass extraction LLM, store directly via infer=false
if (skillsActive) {
// Enforce batch homogeneity: if no category provided for a multi-fact
// batch, warn. The prompt teaches batch-by-category but this is the
// runtime safety net.
if (allFacts.length > 1 && !p.category) {
api.logger.warn(
`openclaw-mem0: multi-fact batch (${allFacts.length} facts) without category. Retention policy defaults to uncategorized. Prompt instructs batch-by-category.`,
);
}
// Resolve metadata: prefer explicit params, fall back to metadata record
const rawMetadata = p.metadata;
const category = p.category ?? rawMetadata?.category as string | undefined;
const importance = p.importance ?? rawMetadata?.importance as number | undefined;
const parsedMetadata: Record<string, unknown> = {
...(rawMetadata ?? {}),
...(category && { category }),
...(importance !== undefined && { importance }),
};
const categories = resolveCategories(cfg.skills);
const catConfig = category ? categories[category] : undefined;
const expirationDate = catConfig ? ttlToExpirationDate(catConfig.ttl) : undefined;
const isImmutable = catConfig?.immutable ?? false;
// Single API call: all facts go as deduced_memories array
const addOpts: AddOptions = {
user_id: uid,
source: "OPENCLAW",
infer: false,
deduced_memories: allFacts,
metadata: parsedMetadata ?? {},
...(expirationDate && { expiration_date: expirationDate }),
...(isImmutable && { immutable: true }),
};
if (runId) addOpts.run_id = runId;
if (cfg.mode === "platform") {
addOpts.output_format = "v1.1";
if (cfg.enableGraph || cfg.skills?.triage?.enableGraph) {
addOpts.enable_graph = true;
}
}
const result = await provider.add(
[{ role: "user", content: allFacts.join("\n") }],
addOpts,
);
const count = result.results?.length ?? 0;
api.logger.info(
`openclaw-mem0: skills-mode stored ${count} memor${count === 1 ? "y" : "ies"} from ${allFacts.length} fact(s) in 1 API call (infer=false, category=${category ?? "none"})`,
);
return {
content: [
{
type: "text",
text: `Stored ${allFacts.length} fact(s) [${category ?? "uncategorized"}]: ${allFacts.map(f => `"${f.slice(0, 60)}${f.length > 60 ? "..." : ""}"`).join(", ")}`,
},
],
details: {
action: "stored",
mode: "skills",
infer: false,
category,
factCount: allFacts.length,
results: result.results,
},
};
}
// Legacy mode: let mem0 extraction LLM handle it
const combinedText = allFacts.join("\n");
// Pre-check for near-duplicates so the extraction model has
// context about existing memories and can UPDATE rather than ADD
const preview = combinedText.slice(0, 200);
const preview = text.slice(0, 200);
const dedupOpts = buildSearchOptions(uid, 3);
dedupOpts.threshold = 0.85;
const existing = await provider.search(preview, dedupOpts);
@@ -558,7 +378,7 @@ function registerTools(
}
const result = await provider.add(
[{ role: "user", content: combinedText }],
[{ role: "user", content: text }],
buildAddOptions(uid, runId, currentSessionId),
);
@@ -790,16 +610,6 @@ function registerTools(
};
try {
// Block subagent deletes at the tool level.
const currentSessionId = getCurrentSessionId();
if (isSubagentSession(currentSessionId)) {
api.logger.warn("openclaw-mem0: blocked memory_forget from subagent session");
return {
content: [{ type: "text", text: "Memory deletion is not available in subagent sessions. The main agent handles memory." }],
details: { error: "subagent_blocked" },
};
}
if (memoryId) {
await provider.delete(memoryId);
return {
@@ -888,150 +698,6 @@ function registerTools(
},
{ name: "memory_forget" },
);
api.registerTool(
{
name: "memory_update",
label: "Memory Update",
description:
"Update an existing memory's text in place. Use when a fact has changed and you have the memory ID. This is atomic and preserves the memory's history. Preferred over delete-then-store for corrections.",
parameters: Type.Object({
memoryId: Type.String({ description: "The memory ID to update" }),
text: Type.String({ description: "The new text for this memory (replaces the old text)" }),
}),
async execute(_toolCallId, params) {
const { memoryId, text } = params as { memoryId: string; text: string };
try {
const currentSessionId = getCurrentSessionId();
if (isSubagentSession(currentSessionId)) {
api.logger.warn("openclaw-mem0: blocked memory_update from subagent session");
return {
content: [{ type: "text", text: "Memory update is not available in subagent sessions." }],
details: { error: "subagent_blocked" },
};
}
await provider.update(memoryId, text);
return {
content: [
{ type: "text", text: `Updated memory ${memoryId}: "${text.slice(0, 80)}${text.length > 80 ? "..." : ""}"` },
],
details: { action: "updated", id: memoryId },
};
} catch (err) {
return {
content: [
{ type: "text", text: `Memory update failed: ${String(err)}` },
],
details: { error: String(err) },
};
}
},
},
{ name: "memory_update" },
);
api.registerTool(
{
name: "memory_delete_all",
label: "Memory Delete All",
description:
"Delete ALL memories for a user. Use with extreme caution. This is irreversible. Only use when the user explicitly asks to forget everything or reset their memory.",
parameters: Type.Object({
confirm: Type.Boolean({
description: "Must be true to proceed. Safety gate to prevent accidental bulk deletion.",
}),
userId: Type.Optional(
Type.String({ description: "User ID to delete all memories for (default: configured userId)" }),
),
}),
async execute(_toolCallId, params) {
const { confirm, userId } = params as { confirm: boolean; userId?: string };
try {
const currentSessionId = getCurrentSessionId();
if (isSubagentSession(currentSessionId)) {
api.logger.warn("openclaw-mem0: blocked memory_delete_all from subagent session");
return {
content: [{ type: "text", text: "Bulk memory deletion is not available in subagent sessions." }],
details: { error: "subagent_blocked" },
};
}
if (!confirm) {
return {
content: [{ type: "text", text: "Bulk deletion requires confirm: true. Ask the user to confirm before proceeding." }],
details: { error: "confirmation_required" },
};
}
const uid = _resolveUserId({ userId });
await provider.deleteAll(uid);
api.logger.info(`openclaw-mem0: deleted all memories for user ${uid}`);
return {
content: [
{ type: "text", text: `All memories deleted for user "${uid}".` },
],
details: { action: "deleted_all", user_id: uid },
};
} catch (err) {
return {
content: [
{ type: "text", text: `Bulk memory deletion failed: ${String(err)}` },
],
details: { error: String(err) },
};
}
},
},
{ name: "memory_delete_all" },
);
api.registerTool(
{
name: "memory_history",
label: "Memory History",
description:
"View the edit history of a specific memory. Shows all changes over time including previous values, new values, and timestamps. Useful for understanding how a memory evolved.",
parameters: Type.Object({
memoryId: Type.String({ description: "The memory ID to view history for" }),
}),
async execute(_toolCallId, params) {
const { memoryId } = params as { memoryId: string };
try {
const history = await provider.history(memoryId);
if (!history || history.length === 0) {
return {
content: [{ type: "text", text: `No history found for memory ${memoryId}.` }],
details: { count: 0 },
};
}
const text = history
.map((h, i) => `${i + 1}. [${h.event}] ${h.created_at}\n Old: ${h.old_memory || "(none)"}\n New: ${h.new_memory || "(none)"}`)
.join("\n\n");
return {
content: [
{ type: "text", text: `History for memory ${memoryId} (${history.length} entries):\n\n${text}` },
],
details: { count: history.length, history },
};
} catch (err) {
return {
content: [
{ type: "text", text: `Memory history failed: ${String(err)}` },
],
details: { error: String(err) },
};
}
},
},
{ name: "memory_history" },
);
}
// ============================================================================
@@ -1147,72 +813,6 @@ function registerCli(
console.error(`Stats failed: ${String(err)}`);
}
});
mem0
.command("dream")
.description("Run memory consolidation (review, merge, prune stored memories)")
.option("--dry-run", "Show memory inventory without running consolidation")
.action(async (opts: { dryRun?: boolean }) => {
try {
const uid = cfg.userId;
const memories = await provider.getAll({ user_id: uid, source: "OPENCLAW" });
const count = Array.isArray(memories) ? memories.length : 0;
if (count === 0) {
console.log("No memories to consolidate.");
return;
}
// Show current state summary on stderr (keeps stdout clean for piping)
const catCounts = new Map<string, number>();
for (const mem of memories) {
const cat = (mem.metadata as any)?.category ?? mem.categories?.[0] ?? "uncategorized";
catCounts.set(cat, (catCounts.get(cat) ?? 0) + 1);
}
process.stderr.write(`\nMemory inventory for "${uid}":\n`);
for (const [cat, num] of [...catCounts.entries()].sort((a, b) => b[1] - a[1])) {
process.stderr.write(` ${cat}: ${num}\n`);
}
process.stderr.write(` TOTAL: ${count}\n\n`);
if (opts.dryRun) {
process.stderr.write("Dry run — no changes made.\n");
return;
}
// Load dream prompt and format it with the full memory inventory
const dreamPrompt = loadDreamPrompt(cfg.skills ?? {});
if (!dreamPrompt) {
process.stderr.write("Dream skill file not found at skills/memory-dream/SKILL.md\n");
return;
}
// Build the full dream context: protocol + memory dump
const memoryDump = (memories as MemoryItem[]).map((m, i) => {
const cat = (m.metadata as any)?.category ?? m.categories?.[0] ?? "uncategorized";
const imp = (m.metadata as any)?.importance ?? "?";
const created = m.created_at ?? "unknown";
return `${i + 1}. [${m.id}] (${cat}, importance: ${imp}, created: ${created}) ${m.memory}`;
}).join("\n");
const fullPrompt = [
"<dream-protocol>",
dreamPrompt,
"</dream-protocol>",
"",
`<all-memories count="${count}" user="${uid}">`,
memoryDump,
"</all-memories>",
"",
"Begin consolidation. Review all memories above and execute merge, delete, and rewrite operations using the available tools.",
].join("\n");
// Only the prompt goes to stdout — safe to pipe directly
process.stdout.write(fullPrompt + "\n");
process.stderr.write(`Dream prompt written to stdout (${fullPrompt.length} chars). Pipe with: openclaw mem0 dream | openclaw run --stdin\n`);
} catch (err) {
console.error(`Dream failed: ${String(err)}`);
}
});
},
{ commands: ["mem0"] },
);
@@ -1231,201 +831,8 @@ function registerHooks(
buildSearchOptions: (userIdOverride?: string, limit?: number, runId?: string, sessionKey?: string) => SearchOptions,
session: {
setCurrentSessionId: (id: string) => void;
getStateDir: () => string | undefined;
},
skillsActive: boolean = false,
) {
// ========================================================================
// SKILLS MODE: Agentic memory via before_prompt_build
// ========================================================================
if (skillsActive) {
// Use before_prompt_build instead of before_agent_start:
// - prependSystemContext: static memory protocol (provider-cacheable, no per-turn cost)
// - prependContext: dynamic recalled memories (changes every turn)
//
// NOTE: We previously used a shared `lastCleanUserMessage` variable populated
// by message_received to get clean user content. That variable was process-global
// mutable state vulnerable to cross-session races. Removed in favor of using
// sanitizeQuery() on event.prompt within this hook, where ctx.sessionKey is
// available and the execution is scoped to the correct session.
api.on("before_prompt_build", async (event: any, ctx: any) => {
if (!event.prompt || event.prompt.length < 5) return;
const trigger = ctx?.trigger ?? undefined;
const sessionId = ctx?.sessionKey ?? undefined;
if (isNonInteractiveTrigger(trigger, sessionId)) {
api.logger.info("openclaw-mem0: skills-mode skipping non-interactive trigger");
return;
}
// Skip recall for system/bootstrap prompts. These are OpenClaw internal
// commands (/new, /reset) that contain system instructions, not user queries.
// Sending them to mem0 search wastes API calls and returns noise.
const promptLower = event.prompt.toLowerCase();
const isSystemPrompt =
promptLower.includes("a new session was started") ||
promptLower.includes("session startup sequence") ||
promptLower.includes("/new or /reset") ||
promptLower.startsWith("system:") ||
promptLower.startsWith("run your session");
if (isSystemPrompt) {
api.logger.info("openclaw-mem0: skills-mode skipping recall for system/bootstrap prompt");
// Still inject the protocol, just skip recall search
const systemContext = loadTriagePrompt(cfg.skills ?? {});
return { prependSystemContext: systemContext };
}
if (sessionId) session.setCurrentSessionId(sessionId);
const isSubagent = isSubagentSession(sessionId);
const userId = _effectiveUserId(isSubagent ? undefined : sessionId);
// Static protocol goes in prependSystemContext (cacheable across turns)
let systemContext = loadTriagePrompt(cfg.skills ?? {});
if (isSubagent) {
systemContext = "You are a subagent — use these memories for context but do not assume you are this user. Do NOT store new memories.\n\n" + systemContext;
}
// Dynamic recall goes in prependContext (changes every turn).
// Strategy controls how much the plugin searches automatically:
// "always" — long-term + session search every turn (2 searches)
// "smart" — long-term search only, no session search (1 search) [default]
// "manual" — no auto-recall; agent controls all search via memory_search (0 searches)
let recallContext = "";
const recallEnabled = cfg.skills?.recall?.enabled !== false;
const recallStrategy = cfg.skills?.recall?.strategy ?? "smart";
if (recallEnabled && recallStrategy !== "manual") {
try {
const query = sanitizeQuery(event.prompt);
// Smart mode: skip session search (saves 1 API call per turn)
const sessionIdForRecall = recallStrategy === "always"
? (isSubagent ? undefined : sessionId)
: undefined; // smart: long-term only
const recallResult = await skillRecall(
provider,
query,
userId,
cfg.skills ?? {},
sessionIdForRecall,
);
api.logger.info(
`openclaw-mem0: skills-mode recall (strategy=${recallStrategy}) injecting ${recallResult.memories.length} memories (~${recallResult.tokenEstimate} tokens)`,
);
recallContext = recallResult.context;
} catch (err) {
api.logger.warn(`openclaw-mem0: skills-mode recall failed: ${String(err)}`);
}
} else if (recallEnabled && recallStrategy === "manual") {
api.logger.info("openclaw-mem0: skills-mode recall strategy=manual, agent controls search");
}
// Auto-dream: check CHEAP gates first (local file reads only).
// Only hit the API for memory count if time + session gates pass.
const stateDir = session.getStateDir();
const dreamEnabled = cfg.skills?.dream?.enabled !== false && cfg.skills?.dream?.auto !== false;
let dreamContext = "";
if (dreamEnabled && stateDir && !isSubagent) {
try {
const cheapResult = checkCheapGates(stateDir, cfg.skills?.dream ?? {});
if (cheapResult.proceed) {
// Cheap gates passed. Now do the expensive memory count check.
const memories = await provider.getAll({ user_id: userId, source: "OPENCLAW" });
const memCount = Array.isArray(memories) ? memories.length : 0;
const memResult = checkMemoryGate(memCount, cfg.skills?.dream ?? {});
if (memResult.pass && acquireDreamLock(stateDir)) {
const dreamPrompt = loadDreamPrompt(cfg.skills ?? {});
if (dreamPrompt) {
dreamContext = "\n\n<auto-dream>\nIMPORTANT: Before responding to the user, run a memory consolidation pass. Follow the protocol below, then respond normally.\n\n" + dreamPrompt + "\n</auto-dream>";
// Track which session triggered dream (session-keyed, not global)
dreamSessionId = sessionId;
api.logger.info(`openclaw-mem0: auto-dream triggered (${memCount} memories, gate passed)`);
} else {
releaseDreamLock(stateDir);
}
}
}
} catch (err) {
api.logger.warn(`openclaw-mem0: auto-dream gate check failed: ${String(err)}`);
}
}
return {
prependSystemContext: systemContext, // cached by provider
prependContext: recallContext + dreamContext, // per-turn dynamic
};
});
// Session-keyed dream tracking. Only the session that triggered dream
// can complete it. Prevents cross-session false completion.
let dreamSessionId: string | undefined;
api.on("agent_end", async (event: any, ctx: any) => {
const sessionId = ctx?.sessionKey ?? undefined;
const trigger = ctx?.trigger ?? undefined;
if (sessionId) session.setCurrentSessionId(sessionId);
// If dream was triggered for THIS session, handle cleanup regardless
// of success/failure. A failed turn must still release the lock.
const stateDir = session.getStateDir();
if (dreamSessionId && dreamSessionId === sessionId && stateDir) {
dreamSessionId = undefined;
if (!event.success) {
// Turn failed/aborted after lock acquired. Release lock, do not
// record completion. Gates will re-trigger next eligible turn.
releaseDreamLock(stateDir);
api.logger.warn("openclaw-mem0: auto-dream turn failed, lock released, will retry");
return;
}
// Verify the model actually performed WRITE operations (not just reads).
// Only count memory_store, memory_update, memory_forget, memory_delete_all.
// Exclude memory_list and memory_search (read-only, orient-only pass).
// Scan only the LAST assistant message (this turn), not the full session
// snapshot, to avoid matching earlier tool calls from prior turns.
const WRITE_TOOLS = new Set(["memory_store", "memory_update", "memory_forget", "memory_delete_all"]);
const messages = event.messages ?? [];
// Find the last assistant message (this turn's output)
const lastAssistant = [...messages].reverse().find((m: any) => m.role === "assistant");
const writeToolUsed = lastAssistant && Array.isArray(lastAssistant.content)
? lastAssistant.content.some((block: any) =>
block.type === "tool_use" && WRITE_TOOLS.has(block.name)
)
: false;
if (writeToolUsed) {
releaseDreamLock(stateDir);
recordDreamCompletion(stateDir);
api.logger.info("openclaw-mem0: auto-dream completed (verified write tool usage), lock released");
} else {
releaseDreamLock(stateDir);
api.logger.warn("openclaw-mem0: auto-dream injected but no write tools executed. Lock released, will retry.");
}
return;
}
if (!event.success) return;
// Track session for dream gating (interactive turns only)
if (stateDir && sessionId && !isNonInteractiveTrigger(trigger, sessionId)) {
incrementSessionCount(stateDir, sessionId);
}
api.logger.info("openclaw-mem0: skills-mode agent_end (no auto-capture)");
});
return; // Skip legacy hook registration
}
// ========================================================================
// LEGACY MODE: Original auto-recall + auto-capture behavior
// ========================================================================
// Auto-recall: inject relevant memories before agent starts
if (cfg.autoRecall) {
api.on("before_agent_start", async (event, ctx) => {
-56
View File
@@ -1,7 +1,6 @@
{
"id": "openclaw-mem0",
"kind": "memory",
"skills": ["skills"],
"uiHints": {
"mode": {
"label": "Mode",
@@ -69,11 +68,6 @@
"label": "Open-Source Configuration",
"advanced": true,
"help": "Optional. Configure custom embedder, vector store, LLM, or history DB for open-source mode. Has sensible defaults — only override what you need."
},
"skills": {
"label": "Agentic Memory Skills",
"advanced": true,
"help": "Enable skills-based memory extraction. The agent controls what to remember (triage), how to recall (recall), and periodic cleanup (dream). Disables auto-capture when active."
}
},
"configSchema": {
@@ -167,56 +161,6 @@
"type": "string"
}
}
},
"skills": {
"type": "object",
"properties": {
"triage": {
"type": "object",
"properties": {
"enabled": { "type": "boolean" },
"importanceThreshold": { "type": "number" },
"enableGraph": { "type": "boolean" },
"credentialPatterns": { "type": "array", "items": { "type": "string" } }
}
},
"recall": {
"type": "object",
"properties": {
"enabled": { "type": "boolean" },
"strategy": { "type": "string", "enum": ["always", "smart", "manual"] },
"tokenBudget": { "type": "number" },
"maxMemories": { "type": "number" },
"rerank": { "type": "boolean" },
"keywordSearch": { "type": "boolean" },
"filterMemories": { "type": "boolean" },
"threshold": { "type": "number" },
"identityAlwaysInclude": { "type": "boolean" },
"categoryOrder": { "type": "array", "items": { "type": "string" } }
}
},
"dream": {
"type": "object",
"properties": {
"enabled": { "type": "boolean" },
"schedule": { "type": "string" },
"mergeThreshold": { "type": "number" },
"maxMemoriesPerUser": { "type": "number" },
"preserveImmutable": { "type": "boolean" },
"credentialScan": { "type": "boolean" },
"expireStaleAfterDays": { "type": "number" }
}
},
"domain": { "type": "string" },
"customRules": {
"type": "object",
"properties": {
"include": { "type": "array", "items": { "type": "string" } },
"exclude": { "type": "array", "items": { "type": "string" } }
}
},
"categories": { "type": "object" }
}
}
},
"required": []

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