chore: update changelog, bump SDK and package versions to 3.0.8 and 2.0.6

Co-authored-by: Kartik <kartik.labhshetwar@mem0.ai>

.agents/plugins/marketplace.json

@@ -8,7 +8,7 @@
       "name": "mem0",
       "source": {
         "source": "local",
-        "path": "./mem0-plugin"
+        "path": "./integrations/mem0-plugin"
       },
       "policy": {
         "installation": "AVAILABLE",

.claude-plugin/marketplace.json

@@ -10,9 +10,9 @@
   "plugins": [
     {
       "name": "mem0",
-      "source": "./mem0-plugin",
+      "source": "./integrations/mem0-plugin",
       "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search to Claude workflows.",
-      "version": "0.1.1"
+      "version": "0.2.10"
     }
   ]
 }

.codex-plugin/marketplace.json

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

.cursor-plugin/marketplace.json

@@ -10,9 +10,9 @@
   "plugins": [
     {
       "name": "mem0",
-      "source": "./mem0-plugin",
+      "source": "./integrations/mem0-plugin",
       "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search.",
-      "version": "0.1.1"
+      "version": "0.2.10"
     }
   ]
 }

.github/workflows/cd.yml

@@ -1,18 +1,33 @@
 name: Publish Python 🐍 distributions 📦 to PyPI and TestPyPI
 
+# Dispatched by release.yml (Release Router) when a release tagged v* is
+# published. Can also be dispatched manually to re-publish a tag.
 on:
-  release:
-    types: [published]
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build and publish (e.g. v1.2.3)'
+        required: true
+        type: string
+      prerelease:
+        description: 'Unused for PyPI (pre-releases are expressed in the version itself); accepted for router uniformity'
+        required: false
+        type: boolean
+        default: false
 
 jobs:
   build-n-publish:
     name: Build and publish Python 🐍 distributions 📦 to PyPI and TestPyPI
-    if: startsWith(github.event.release.tag_name, 'v')
+    # Pure SDK version tags only (v1.2.3) — excludes package-prefixed tags
+    # like vercel-ai-v* that also start with 'v'
+    if: startsWith(inputs.tag, 'v') && !contains(inputs.tag, '-v')
     runs-on: ubuntu-latest
     permissions:
       id-token: write
     steps:
       - uses: actions/checkout@v2
+        with:
+          ref: ${{ inputs.tag }}
 
       - name: Set up Python
         uses: actions/setup-python@v2
@@ -39,7 +54,6 @@ jobs:
       #     packages_dir: dist/
 
       - name: Publish distribution 📦 to PyPI
-        if: startsWith(github.ref, 'refs/tags/v')
         uses: pypa/gh-action-pypi-publish@release/v1
         with:
           packages_dir: dist/

.github/workflows/ci-gate.yml

@@ -0,0 +1,171 @@
+name: CI Gate
+
+# Single required status check for all PRs.
+#
+# Path-filtered CI workflows can't be marked as required in branch
+# protection: on a PR that doesn't touch their paths they never report, and
+# the required check hangs at "Expected" forever. This gate solves that. It
+# runs on every PR, detects which packages changed, calls only the relevant
+# package CI workflows (as reusable workflows), and the final "CI Gate" job
+# reports the aggregate result — success when every invoked pipeline passed
+# (skipped pipelines are fine), failure when any failed.
+#
+# Branch protection should require exactly one status check: "CI Gate".
+#
+# Package CI workflows keep their own push-to-main and workflow_dispatch
+# triggers; only their pull_request triggers moved here. To wire in a new
+# package: add a filter under the `changes` job, a call job that `uses:` the
+# package workflow, and list the call job in the gate's `needs`.
+
+on:
+  pull_request:
+
+concurrency:
+  group: ci-gate-${{ github.event.pull_request.number }}
+  cancel-in-progress: true
+
+permissions:
+  contents: read
+  pull-requests: read
+
+jobs:
+  changes:
+    name: Detect changed packages
+    runs-on: ubuntu-latest
+    outputs:
+      python_sdk: ${{ steps.filter.outputs.python_sdk }}
+      ts_sdk: ${{ steps.filter.outputs.ts_sdk }}
+      cli_python: ${{ steps.filter.outputs.cli_python }}
+      cli_node: ${{ steps.filter.outputs.cli_node }}
+      openclaw: ${{ steps.filter.outputs.openclaw }}
+      opencode_plugin: ${{ steps.filter.outputs.opencode_plugin }}
+      pi_agent_plugin: ${{ steps.filter.outputs.pi_agent_plugin }}
+      docs_llms_txt: ${{ steps.filter.outputs.docs_llms_txt }}
+    steps:
+      - uses: dorny/paths-filter@v3
+        id: filter
+        with:
+          # Each filter mirrors the package workflow's old pull_request
+          # paths, plus the package workflow file itself and this gate file
+          # (changing either must re-exercise the pipeline).
+          filters: |
+            python_sdk:
+              - 'mem0/**'
+              - 'tests/**'
+              - 'pyproject.toml'
+              - '.github/workflows/ci.yml'
+              - '.github/workflows/ci-gate.yml'
+            ts_sdk:
+              - 'mem0-ts/**'
+              - '.github/workflows/ts-sdk-ci.yml'
+              - '.github/workflows/ci-gate.yml'
+            cli_python:
+              - 'cli/python/**'
+              - '.github/workflows/cli-python-ci.yml'
+              - '.github/workflows/ci-gate.yml'
+            cli_node:
+              - 'cli/node/**'
+              - '.github/workflows/cli-node-ci.yml'
+              - '.github/workflows/ci-gate.yml'
+            openclaw:
+              - 'integrations/openclaw/**'
+              - '.github/workflows/openclaw-checks.yml'
+              - '.github/workflows/ci-gate.yml'
+            opencode_plugin:
+              - 'integrations/mem0-plugin/.opencode-plugin/**'
+              - '.github/workflows/opencode-plugin-checks.yml'
+              - '.github/workflows/ci-gate.yml'
+            pi_agent_plugin:
+              - 'integrations/pi-agent-plugin/**'
+              - '.github/workflows/pi-agent-plugin-checks.yml'
+              - '.github/workflows/ci-gate.yml'
+            docs_llms_txt:
+              - 'docs/**/*.mdx'
+              - 'docs/llms.txt'
+              - 'scripts/check-llms-txt-coverage.py'
+              - 'scripts/llms-txt-ignore.txt'
+              - '.github/workflows/docs-llms-txt-check.yml'
+              - '.github/workflows/ci-gate.yml'
+
+  python-sdk:
+    name: Python SDK
+    needs: changes
+    if: needs.changes.outputs.python_sdk == 'true'
+    uses: ./.github/workflows/ci.yml
+    secrets: inherit
+
+  ts-sdk:
+    name: TypeScript SDK
+    needs: changes
+    if: needs.changes.outputs.ts_sdk == 'true'
+    uses: ./.github/workflows/ts-sdk-ci.yml
+    secrets: inherit
+
+  cli-python:
+    name: Python CLI
+    needs: changes
+    if: needs.changes.outputs.cli_python == 'true'
+    uses: ./.github/workflows/cli-python-ci.yml
+    secrets: inherit
+
+  cli-node:
+    name: Node CLI
+    needs: changes
+    if: needs.changes.outputs.cli_node == 'true'
+    uses: ./.github/workflows/cli-node-ci.yml
+    secrets: inherit
+
+  openclaw:
+    name: OpenClaw
+    needs: changes
+    if: needs.changes.outputs.openclaw == 'true'
+    uses: ./.github/workflows/openclaw-checks.yml
+    secrets: inherit
+
+  opencode-plugin:
+    name: OpenCode Plugin
+    needs: changes
+    if: needs.changes.outputs.opencode_plugin == 'true'
+    uses: ./.github/workflows/opencode-plugin-checks.yml
+    secrets: inherit
+
+  pi-agent-plugin:
+    name: Pi Agent Plugin
+    needs: changes
+    if: needs.changes.outputs.pi_agent_plugin == 'true'
+    uses: ./.github/workflows/pi-agent-plugin-checks.yml
+    secrets: inherit
+
+  docs-llms-txt:
+    name: docs llms.txt
+    needs: changes
+    if: needs.changes.outputs.docs_llms_txt == 'true'
+    uses: ./.github/workflows/docs-llms-txt-check.yml
+    secrets: inherit
+
+  gate:
+    name: CI Gate
+    needs:
+      - changes
+      - python-sdk
+      - ts-sdk
+      - cli-python
+      - cli-node
+      - openclaw
+      - opencode-plugin
+      - pi-agent-plugin
+      - docs-llms-txt
+    if: always()
+    runs-on: ubuntu-latest
+    steps:
+      - name: Evaluate pipeline results
+        env:
+          NEEDS: ${{ toJSON(needs) }}
+        run: |
+          echo "$NEEDS" | jq -r 'to_entries[] | "\(.key): \(.value.result)"'
+          failed=$(echo "$NEEDS" | jq -r '[to_entries[] | select(.value.result == "failure" or .value.result == "cancelled") | .key] | join(", ")')
+          if [ -n "$failed" ]; then
+            echo "::error::Failing pipelines: $failed"
+            exit 1
+          fi
+          echo "All pipelines relevant to this change passed."

.github/workflows/ci.yml

@@ -1,20 +1,11 @@
 name: ci
 
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# push-to-main runs remain standalone.
 on:
   push:
     branches: [main]
-    paths:
-      - 'mem0/**'
-      - 'tests/**'
-      - 'embedchain/**'
-      - '.github/workflows/**'
-      - 'pyproject.toml'
-  pull_request:
-    paths:
-      - 'mem0/**'
-      - 'tests/**'
-      - 'embedchain/**'
-      - 'pyproject.toml'
+  workflow_call:
 
 jobs:
   changelog_check:
@@ -60,9 +51,8 @@ jobs:
     runs-on: ubuntu-latest
     outputs:
       mem0_changed: ${{ steps.filter.outputs.mem0 }}
-      embedchain_changed: ${{ steps.filter.outputs.embedchain }}
     steps:
-    - uses: actions/checkout@v3
+    - uses: actions/checkout@v4
     - uses: dorny/paths-filter@v2
       id: filter
       with:
@@ -70,25 +60,28 @@ jobs:
           mem0:
             - 'mem0/**'
             - 'tests/**'
-            - '.github/workflows/**'
+            - '.github/workflows/ci.yml'
             - 'pyproject.toml'
-          embedchain:
-            - 'embedchain/**'
 
   build_mem0:
     needs: check_changes
-    if: needs.check_changes.outputs.mem0_changed == 'true'
     runs-on: ubuntu-latest
     strategy:
       matrix:
         python-version: ["3.10", "3.11", "3.12"]
     steps:
-      - uses: actions/checkout@v3
+      - name: Skip — no relevant changes
+        if: needs.check_changes.outputs.mem0_changed != 'true'
+        run: echo "No changes in mem0/, tests/, pyproject.toml, or ci.yml — skipping"
+      - uses: actions/checkout@v4
+        if: needs.check_changes.outputs.mem0_changed == 'true'
       - name: Set up Python ${{ matrix.python-version }}
+        if: needs.check_changes.outputs.mem0_changed == 'true'
         uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
       - name: Clean up disk space
+        if: needs.check_changes.outputs.mem0_changed == 'true'
         run: |
           df -h
           sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc /opt/hostedtoolcache/CodeQL
@@ -96,61 +89,27 @@ jobs:
           sudo docker builder prune -a
           df -h
       - name: Install Hatch
+        if: needs.check_changes.outputs.mem0_changed == 'true'
         run: pip install hatch
       - name: Load cached venv
+        if: needs.check_changes.outputs.mem0_changed == 'true'
         id: cached-hatch-dependencies
         uses: actions/cache@v3
         with:
           path: .venv
           key: venv-mem0-${{ runner.os }}-${{ hashFiles('**/pyproject.toml') }}
       - name: Install GEOS Libraries
+        if: needs.check_changes.outputs.mem0_changed == 'true'
         run: sudo apt-get update && sudo apt-get install -y libgeos-dev
       - name: Install dependencies
+        if: needs.check_changes.outputs.mem0_changed == 'true' && steps.cached-hatch-dependencies.outputs.cache-hit != 'true'
         run: |
           pip install --upgrade pip
           pip install -e ".[test,graph,vector_stores,llms,extras]"
           pip install ruff
-        if: steps.cached-hatch-dependencies.outputs.cache-hit != 'true'
       - name: Run Linting
+        if: needs.check_changes.outputs.mem0_changed == 'true'
         run: make lint
       - name: Run tests and generate coverage report
+        if: needs.check_changes.outputs.mem0_changed == 'true'
         run: make test
-
-  build_embedchain:
-    needs: check_changes
-    if: needs.check_changes.outputs.embedchain_changed == 'true'
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
-    steps:
-      - uses: actions/checkout@v3
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python-version }}
-      - name: Install Hatch
-        run: pip install hatch
-      - name: Load cached venv
-        id: cached-hatch-dependencies
-        uses: actions/cache@v3
-        with:
-          path: .venv
-          key: venv-embedchain-${{ runner.os }}-${{ hashFiles('**/pyproject.toml') }}
-      - name: Install dependencies
-        run: cd embedchain && make install_all
-        if: steps.cached-hatch-dependencies.outputs.cache-hit != 'true'
-      - name: Run Formatting
-        run: |
-          mkdir -p embedchain/.ruff_cache && chmod -R 777 embedchain/.ruff_cache
-          cd embedchain && hatch run format
-      - name: Lint with ruff
-        run: cd embedchain && make lint
-      - name: Run tests and generate coverage report
-        run: cd embedchain && make coverage
-      - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v3
-        with:
-          file: coverage.xml
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

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

@@ -1,13 +1,25 @@
 name: Publish @mem0/cli 📦 to npm
 
+# Dispatched by release.yml (Release Router) when a release tagged
+# cli-node-v* is published. Can also be dispatched manually to re-publish
+# a tag.
 on:
-  release:
-    types: [published]
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build and publish (e.g. cli-node-v0.2.0)'
+        required: true
+        type: string
+      prerelease:
+        description: 'Publish under the version preid dist-tag instead of latest'
+        required: false
+        type: boolean
+        default: false
 
 jobs:
   build-n-publish:
     name: Build and publish @mem0/cli 📦 to npm
-    if: startsWith(github.event.release.tag_name, 'cli-node-v')
+    if: startsWith(inputs.tag, 'cli-node-v')
     runs-on: ubuntu-latest
     permissions:
       id-token: write
@@ -16,6 +28,8 @@ jobs:
         working-directory: cli/node
     steps:
       - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
 
       - name: Install pnpm
         uses: pnpm/action-setup@v4
@@ -38,7 +52,7 @@ jobs:
 
       - name: Publish to npm
         run: |
-          if [ "${{ github.event.release.prerelease }}" = "true" ]; then
+          if [ "${{ inputs.prerelease }}" = "true" ]; then
             PREID=$(node -p "require('./package.json').version.split('-')[1].split('.')[0]")
             npx npm@latest publish --provenance --access public --tag "$PREID"
           else

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

@@ -1,5 +1,7 @@
 name: CLI Node CI
 
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# push-to-main and manual runs remain standalone.
 on:
   workflow_dispatch:
   push:
@@ -7,10 +9,7 @@ on:
     paths:
       - 'cli/node/**'
       - '.github/workflows/cli-node-ci.yml'
-  pull_request:
-    paths:
-      - 'cli/node/**'
-      - '.github/workflows/cli-node-ci.yml'
+  workflow_call:
 
 jobs:
   lint:

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

@@ -1,13 +1,24 @@
 name: Publish mem0-cli 🐍 distributions 📦 to PyPI
 
+# Dispatched by release.yml (Release Router) when a release tagged cli-v* is
+# published. Can also be dispatched manually to re-publish a tag.
 on:
-  release:
-    types: [published]
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build and publish (e.g. cli-v0.2.0)'
+        required: true
+        type: string
+      prerelease:
+        description: 'Unused for PyPI (pre-releases are expressed in the version itself); accepted for router uniformity'
+        required: false
+        type: boolean
+        default: false
 
 jobs:
   build-n-publish:
     name: Build and publish mem0-cli 📦 to PyPI
-    if: startsWith(github.event.release.tag_name, 'cli-v')
+    if: startsWith(inputs.tag, 'cli-v')
     runs-on: ubuntu-latest
     permissions:
       id-token: write
@@ -16,6 +27,8 @@ jobs:
         working-directory: cli/python
     steps:
       - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
 
       - name: Set up Python
         uses: actions/setup-python@v5

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

@@ -1,5 +1,7 @@
 name: CLI Python CI
 
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# push-to-main and manual runs remain standalone.
 on:
   workflow_dispatch:
   push:
@@ -7,10 +9,7 @@ on:
     paths:
       - 'cli/python/**'
       - '.github/workflows/cli-python-ci.yml'
-  pull_request:
-    paths:
-      - 'cli/python/**'
-      - '.github/workflows/cli-python-ci.yml'
+  workflow_call:
 
 jobs:
   lint:

.github/workflows/docs-llms-txt-check.yml

@@ -6,13 +6,10 @@ name: docs - llms.txt check
 #   python scripts/check-llms-txt-coverage.py           # read-only
 #   python scripts/check-llms-txt-coverage.py --write   # scaffold placeholders
 
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# manual runs remain standalone.
 on:
-  pull_request:
-    paths:
-      - 'docs/**/*.mdx'
-      - 'docs/llms.txt'
-      - 'scripts/check-llms-txt-coverage.py'
-      - 'scripts/llms-txt-ignore.txt'
+  workflow_call:
   workflow_dispatch: {}
 
 permissions:

.github/workflows/openclaw-cd.yml

@@ -1,21 +1,35 @@
 name: Publish @mem0/openclaw-mem0 📦 to npm
 
+# Dispatched by release.yml (Release Router) when a release tagged
+# openclaw-v* is published. Can also be dispatched manually to re-publish
+# a tag.
 on:
-  release:
-    types: [published]
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build and publish (e.g. openclaw-v0.5.0)'
+        required: true
+        type: string
+      prerelease:
+        description: 'Publish under the version preid dist-tag instead of latest'
+        required: false
+        type: boolean
+        default: false
 
 jobs:
   build-n-publish:
     name: Build and publish @mem0/openclaw-mem0 📦 to npm
-    if: startsWith(github.event.release.tag_name, 'openclaw-v')
+    if: startsWith(inputs.tag, 'openclaw-v')
     runs-on: ubuntu-latest
     permissions:
       id-token: write
     defaults:
       run:
-        working-directory: openclaw
+        working-directory: integrations/openclaw
     steps:
       - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
 
       - name: Install pnpm
         uses: pnpm/action-setup@v4
@@ -28,7 +42,7 @@ jobs:
           node-version: '22'
           registry-url: 'https://registry.npmjs.org'
           cache: 'pnpm'
-          cache-dependency-path: openclaw/pnpm-lock.yaml
+          cache-dependency-path: integrations/openclaw/pnpm-lock.yaml
 
       - name: Install dependencies
         run: pnpm install --frozen-lockfile
@@ -38,7 +52,7 @@ jobs:
 
       - name: Publish to npm
         run: |
-          if [ "${{ github.event.release.prerelease }}" = "true" ]; then
+          if [ "${{ inputs.prerelease }}" = "true" ]; then
             PREID=$(node -p "require('./package.json').version.split('-')[1].split('.')[0]")
             npx npm@latest publish --provenance --access public --tag "$PREID"
           else

.github/workflows/openclaw-checks.yml

@@ -1,16 +1,15 @@
 name: openclaw checks
 
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# push-to-main and manual runs remain standalone.
 on:
   workflow_dispatch:
   push:
     branches: [main]
     paths:
-      - 'openclaw/**'
-      - '.github/workflows/openclaw-checks.yml'
-  pull_request:
-    paths:
-      - 'openclaw/**'
+      - 'integrations/openclaw/**'
       - '.github/workflows/openclaw-checks.yml'
+  workflow_call:
 
 jobs:
   lint:
@@ -28,13 +27,13 @@ jobs:
         with:
           node-version: 20
           cache: 'pnpm'
-          cache-dependency-path: openclaw/pnpm-lock.yaml
+          cache-dependency-path: integrations/openclaw/pnpm-lock.yaml
 
       - name: Install dependencies
-        run: cd openclaw && pnpm install --frozen-lockfile
+        run: cd integrations/openclaw && pnpm install --frozen-lockfile
 
       - name: Type check
-        run: cd openclaw && pnpm exec tsc --noEmit
+        run: cd integrations/openclaw && pnpm exec tsc --noEmit
 
   test:
     runs-on: ubuntu-latest
@@ -54,20 +53,20 @@ jobs:
         with:
           node-version: ${{ matrix.node-version }}
           cache: 'pnpm'
-          cache-dependency-path: openclaw/pnpm-lock.yaml
+          cache-dependency-path: integrations/openclaw/pnpm-lock.yaml
 
       - name: Install dependencies
-        run: cd openclaw && pnpm install --frozen-lockfile
+        run: cd integrations/openclaw && pnpm install --frozen-lockfile
 
       - name: Run tests with coverage
-        run: cd openclaw && pnpm exec vitest run --coverage
+        run: cd integrations/openclaw && pnpm exec vitest run --coverage
 
       - name: Upload coverage to Codecov
         if: matrix.node-version == 20
         uses: codecov/codecov-action@v4
         with:
           flags: openclaw
-          directory: openclaw/coverage
+          directory: integrations/openclaw/coverage
         env:
           CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 
@@ -86,15 +85,15 @@ jobs:
         with:
           node-version: 20
           cache: 'pnpm'
-          cache-dependency-path: openclaw/pnpm-lock.yaml
+          cache-dependency-path: integrations/openclaw/pnpm-lock.yaml
 
       - name: Install dependencies
-        run: cd openclaw && pnpm install --frozen-lockfile
+        run: cd integrations/openclaw && pnpm install --frozen-lockfile
 
       - name: Build
-        run: cd openclaw && pnpm build
+        run: cd integrations/openclaw && pnpm build
 
       - name: Verify dist output exists
         run: |
-          test -f openclaw/dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)
-          test -f openclaw/dist/index.d.ts || (echo "Build output missing: dist/index.d.ts" && exit 1)
+          test -f integrations/openclaw/dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)
+          test -f integrations/openclaw/dist/index.d.ts || (echo "Build output missing: dist/index.d.ts" && exit 1)

.github/workflows/opencode-plugin-cd.yml

@@ -0,0 +1,58 @@
+name: Publish @mem0/opencode-plugin 📦 to npm
+
+# Dispatched by release.yml (Release Router) when a release tagged
+# opencode-v* is published. Can also be dispatched manually to re-publish
+# a tag.
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build and publish (e.g. opencode-v0.2.0)'
+        required: true
+        type: string
+      prerelease:
+        description: 'Publish under the version preid dist-tag instead of latest'
+        required: false
+        type: boolean
+        default: false
+
+jobs:
+  build-n-publish:
+    name: Build and publish @mem0/opencode-plugin 📦 to npm
+    if: startsWith(inputs.tag, 'opencode-v')
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+    defaults:
+      run:
+        working-directory: integrations/mem0-plugin/.opencode-plugin
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Install Bun
+        uses: oven-sh/setup-bun@v2
+        with:
+          bun-version: latest
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '22'
+          registry-url: 'https://registry.npmjs.org'
+
+      - name: Install dependencies
+        run: bun install --frozen-lockfile
+
+      - name: Build
+        run: bun run build
+
+      - name: Publish to npm
+        run: |
+          if [ "${{ inputs.prerelease }}" = "true" ]; then
+            PREID=$(node -p "require('./package.json').version.split('-')[1].split('.')[0]")
+            npx npm@latest publish --provenance --access public --tag "$PREID"
+          else
+            npx npm@latest publish --provenance --access public
+          fi

.github/workflows/opencode-plugin-checks.yml

@@ -0,0 +1,39 @@
+name: opencode-plugin checks
+
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# push-to-main and manual runs remain standalone.
+on:
+  workflow_dispatch:
+  push:
+    branches: [main]
+    paths:
+      - 'integrations/mem0-plugin/.opencode-plugin/**'
+      - '.github/workflows/opencode-plugin-checks.yml'
+  workflow_call:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: integrations/mem0-plugin/.opencode-plugin
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install Bun
+        uses: oven-sh/setup-bun@v2
+        with:
+          bun-version: latest
+
+      - name: Install dependencies
+        run: bun install --frozen-lockfile
+
+      - name: Type check
+        run: bun run type-check
+
+      - name: Build
+        run: bun run build
+
+      - name: Verify dist output exists
+        run: |
+          test -f dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)

.github/workflows/pi-agent-plugin-cd.yml

@@ -0,0 +1,60 @@
+name: Publish @mem0/pi-agent-plugin 📦 to npm
+
+# Dispatched by release.yml (Release Router) when a release tagged
+# pi-agent-v* is published. Can also be dispatched manually to re-publish
+# a tag.
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build and publish (e.g. pi-agent-v0.1.1)'
+        required: true
+        type: string
+      prerelease:
+        description: 'Publish under the version preid dist-tag instead of latest'
+        required: false
+        type: boolean
+        default: false
+
+jobs:
+  build-n-publish:
+    name: Build and publish @mem0/pi-agent-plugin 📦 to npm
+    if: startsWith(inputs.tag, 'pi-agent-v')
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+    defaults:
+      run:
+        working-directory: integrations/pi-agent-plugin
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 9
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '22'
+          registry-url: 'https://registry.npmjs.org'
+          cache: 'pnpm'
+          cache-dependency-path: integrations/pi-agent-plugin/pnpm-lock.yaml
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Build
+        run: pnpm build
+
+      - name: Publish to npm
+        run: |
+          if [ "${{ inputs.prerelease }}" = "true" ]; then
+            PREID=$(node -p "require('./package.json').version.split('-')[1].split('.')[0]")
+            npx npm@latest publish --provenance --access public --tag "$PREID"
+          else
+            npx npm@latest publish --provenance --access public
+          fi

.github/workflows/pi-agent-plugin-checks.yml

@@ -0,0 +1,92 @@
+name: pi-agent-plugin checks
+
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# push-to-main and manual runs remain standalone.
+on:
+  workflow_dispatch:
+  push:
+    branches: [main]
+    paths:
+      - 'integrations/pi-agent-plugin/**'
+      - '.github/workflows/pi-agent-plugin-checks.yml'
+  workflow_call:
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 9
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: 'pnpm'
+          cache-dependency-path: integrations/pi-agent-plugin/pnpm-lock.yaml
+
+      - name: Install dependencies
+        run: cd integrations/pi-agent-plugin && pnpm install --frozen-lockfile
+
+      - name: Type check
+        run: cd integrations/pi-agent-plugin && pnpm exec tsc --noEmit
+
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        node-version: [20, 22]
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 9
+
+      - name: Setup Node.js ${{ matrix.node-version }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ matrix.node-version }}
+          cache: 'pnpm'
+          cache-dependency-path: integrations/pi-agent-plugin/pnpm-lock.yaml
+
+      - name: Install dependencies
+        run: cd integrations/pi-agent-plugin && pnpm install --frozen-lockfile
+
+      - name: Run tests
+        run: cd integrations/pi-agent-plugin && pnpm exec vitest run
+
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 9
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: 'pnpm'
+          cache-dependency-path: integrations/pi-agent-plugin/pnpm-lock.yaml
+
+      - name: Install dependencies
+        run: cd integrations/pi-agent-plugin && pnpm install --frozen-lockfile
+
+      - name: Build
+        run: cd integrations/pi-agent-plugin && pnpm build
+
+      - name: Verify dist output exists
+        run: |
+          test -f integrations/pi-agent-plugin/dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)
+          test -f integrations/pi-agent-plugin/dist/index.d.ts || (echo "Build output missing: dist/index.d.ts" && exit 1)
+          test -f integrations/pi-agent-plugin/dist/entry.js || (echo "Build output missing: dist/entry.js" && exit 1)
+          test -f integrations/pi-agent-plugin/dist/entry.d.ts || (echo "Build output missing: dist/entry.d.ts" && exit 1)

.github/workflows/release.yml

@@ -0,0 +1,68 @@
+name: Release Router 🚦
+
+# Single entry point for all release publishing.
+#
+# Package CD workflows no longer listen to release events themselves — this
+# router inspects the release tag and dispatches only the matching pipeline,
+# so each release produces one routed run instead of one real run plus seven
+# skipped ones.
+#
+# Re-publishing a release (e.g. after fixing registry settings) does NOT
+# require deleting and recreating it anymore — manually dispatch the
+# package's CD workflow from the tag instead:
+#
+#   gh workflow run <package>-cd.yml --ref refs/tags/<tag> -f tag=<tag>
+#
+# Note: dispatching runs the workflow file as it exists at the given ref, so
+# this router can only dispatch tags created after the workflow_dispatch
+# conversion landed on main. For older tags, dispatch manually from main.
+
+on:
+  release:
+    types: [published]
+
+permissions:
+  actions: write
+
+jobs:
+  route:
+    name: Route ${{ github.event.release.tag_name }} to its CD pipeline
+    runs-on: ubuntu-latest
+    steps:
+      - name: Match tag prefix to CD workflow
+        id: match
+        env:
+          TAG: ${{ github.event.release.tag_name }}
+        run: |
+          # Specific package prefixes first; the bare v* (Python SDK) arm
+          # must stay last so prefixed tags that also start with 'v'
+          # (vercel-ai-v*) can never be routed to the Python pipeline.
+          case "$TAG" in
+            ts-v*)        workflow="ts-sdk-cd.yml" ;;
+            cli-node-v*)  workflow="cli-node-cd.yml" ;;
+            cli-v*)       workflow="cli-python-cd.yml" ;;
+            vercel-ai-v*) workflow="vercel-ai-cd.yml" ;;
+            openclaw-v*)  workflow="openclaw-cd.yml" ;;
+            opencode-v*)  workflow="opencode-plugin-cd.yml" ;;
+            pi-agent-v*)  workflow="pi-agent-plugin-cd.yml" ;;
+            v*)           workflow="cd.yml" ;;
+            *)
+              echo "::error::Release tag '$TAG' does not match any known package prefix — nothing will be published. See the tag prefix table in AGENTS.md."
+              exit 1
+              ;;
+          esac
+          echo "workflow=$workflow" >> "$GITHUB_OUTPUT"
+          echo ":outbox_tray: Routed \`$TAG\` → \`$workflow\`" >> "$GITHUB_STEP_SUMMARY"
+
+      - name: Dispatch ${{ steps.match.outputs.workflow }}
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          TAG: ${{ github.event.release.tag_name }}
+        run: |
+          # --ref points at the tag so the dispatched run builds (and signs
+          # provenance for) the exact tagged commit.
+          gh workflow run "${{ steps.match.outputs.workflow }}" \
+            --repo "$GITHUB_REPOSITORY" \
+            --ref "refs/tags/$TAG" \
+            -f tag="$TAG" \
+            -f prerelease="${{ github.event.release.prerelease }}"

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

@@ -1,13 +1,24 @@
 name: Publish mem0ai 📦 to npm
 
+# Dispatched by release.yml (Release Router) when a release tagged ts-v* is
+# published. Can also be dispatched manually to re-publish a tag.
 on:
-  release:
-    types: [published]
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build and publish (e.g. ts-v2.1.0)'
+        required: true
+        type: string
+      prerelease:
+        description: 'Publish under the version preid dist-tag instead of latest'
+        required: false
+        type: boolean
+        default: false
 
 jobs:
   build-n-publish:
     name: Build and publish mem0ai 📦 to npm
-    if: startsWith(github.event.release.tag_name, 'ts-v')
+    if: startsWith(inputs.tag, 'ts-v')
     runs-on: ubuntu-latest
     permissions:
       id-token: write
@@ -16,6 +27,8 @@ jobs:
         working-directory: mem0-ts
     steps:
       - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
 
       - name: Install pnpm
         uses: pnpm/action-setup@v4
@@ -38,7 +51,7 @@ jobs:
 
       - name: Publish to npm
         run: |
-          if [ "${{ github.event.release.prerelease }}" = "true" ]; then
+          if [ "${{ inputs.prerelease }}" = "true" ]; then
             PREID=$(node -p "require('./package.json').version.split('-')[1].split('.')[0]")
             npx npm@latest publish --provenance --access public --tag "$PREID"
           else

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

@@ -1,14 +1,14 @@
 name: TypeScript SDK CI
 
+# On PRs this is invoked by ci-gate.yml (the single required check);
+# push-to-main runs remain standalone.
 on:
   push:
     branches: [main]
     paths:
       - 'mem0-ts/**'
       - '.github/workflows/ts-sdk-ci.yml'
-  pull_request:
-    paths:
-      - 'mem0-ts/**'
+  workflow_call:
 
 jobs:
   check_changes:

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

@@ -1,21 +1,35 @@
 name: Publish @mem0/vercel-ai-provider 📦 to npm
 
+# Dispatched by release.yml (Release Router) when a release tagged
+# vercel-ai-v* is published. Can also be dispatched manually to re-publish
+# a tag.
 on:
-  release:
-    types: [published]
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag to build and publish (e.g. vercel-ai-v2.0.7)'
+        required: true
+        type: string
+      prerelease:
+        description: 'Publish under the version preid dist-tag instead of latest'
+        required: false
+        type: boolean
+        default: false
 
 jobs:
   build-n-publish:
     name: Build and publish @mem0/vercel-ai-provider 📦 to npm
-    if: startsWith(github.event.release.tag_name, 'vercel-ai-v')
+    if: startsWith(inputs.tag, 'vercel-ai-v')
     runs-on: ubuntu-latest
     permissions:
       id-token: write
     defaults:
       run:
-        working-directory: vercel-ai-sdk
+        working-directory: integrations/vercel-ai-sdk
     steps:
       - uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.tag }}
 
       - name: Install pnpm
         uses: pnpm/action-setup@v4
@@ -28,7 +42,7 @@ jobs:
           node-version: '22'
           registry-url: 'https://registry.npmjs.org'
           cache: 'pnpm'
-          cache-dependency-path: vercel-ai-sdk/pnpm-lock.yaml
+          cache-dependency-path: integrations/vercel-ai-sdk/pnpm-lock.yaml
 
       - name: Install dependencies
         run: pnpm install --frozen-lockfile
@@ -38,7 +52,7 @@ jobs:
 
       - name: Publish to npm
         run: |
-          if [ "${{ github.event.release.prerelease }}" = "true" ]; then
+          if [ "${{ inputs.prerelease }}" = "true" ]; then
             PREID=$(node -p "require('./package.json').version.split('-')[1].split('.')[0]")
             npx npm@latest publish --provenance --access public --tag "$PREID"
           else

.gitignore

@@ -170,7 +170,6 @@ cython_debug/
 # Database
 db
 test-db
-!embedchain/embedchain/core/db/
 
 .vscode
 .idea/

AGENTS.md

@@ -22,18 +22,18 @@ This is a **polyglot monorepo** containing Python and TypeScript packages, CLIs,
 | `mem0-ts/` | TypeScript SDK (`mem0ai` on npm) — client + OSS memory |
 | `cli/python/` | Python CLI (`mem0-cli` on PyPI) — Typer-based, entry point `mem0` |
 | `cli/node/` | Node CLI (`@mem0/cli` on npm) — Commander-based, entry point `mem0` |
-| `vercel-ai-sdk/` | `@mem0/vercel-ai-provider` — Vercel AI SDK memory provider |
-| `openclaw/` | `@mem0/openclaw-mem0` — OpenClaw plugin for Claude Code / AI editors |
+| `integrations/` | **Agent & editor integrations**, one directory per integration (see "Adding a New Integration") |
+| `integrations/mem0-plugin/` | AI editor plugins (Claude Code, Cursor, Codex) — MCP server connection, lifecycle hooks, skills. Contains nested `.opencode-plugin/` (`@mem0/opencode-plugin`) |
+| `integrations/openclaw/` | `@mem0/openclaw-mem0` — OpenClaw plugin for Claude Code / AI editors |
+| `integrations/pi-agent-plugin/` | `@mem0/pi-agent-plugin` — Pi Agent plugin |
+| `integrations/vercel-ai-sdk/` | `@mem0/vercel-ai-provider` — Vercel AI SDK memory provider |
 | `server/` | FastAPI REST server for self-hosted Mem0 (Docker: FastAPI + PostgreSQL/pgvector + Neo4j) |
 | `openmemory/` | Self-hosted memory platform — `api/` (FastAPI + Alembic + MCP server) and `ui/` (Next.js 15 + React 19) |
-| `mem0-plugin/` | AI editor plugins (Claude Code, Cursor, Codex) — MCP server connection, lifecycle hooks, skills |
-| `skills/` | Claude Code skill definitions. Reference skills (SDK knowledge, always-on): `mem0/`, `mem0-cli/`, `mem0-vercel-ai-sdk/`. Pipeline skills (run on demand): `mem0-integrate/`, `mem0-test-integration/` |
+| `skills/` | Claude Code skill definitions. Reference skills (SDK knowledge, always-on): `mem0/`, `mem0-cli/`, `mem0-vercel-ai-sdk/`. Pipeline skills (run on demand): `mem0-integrate/`, `mem0-test-integration/`, `mem0-oss-to-platform/` |
 | `docs/` | Documentation site (Mintlify) |
 | `tests/` | Python SDK tests (pytest) |
 | `evaluation/` | Benchmarking framework — LOCOMO evals, experiment runner, score generation |
-| `examples/` | Sample projects — demo apps, Chrome extension, multi-agent patterns |
-| `cookbooks/` | Jupyter notebooks — customer support chatbot, AutoGen integration |
-| `embedchain/` | Legacy Embedchain RAG framework (maintained separately, Poetry-based) |
+| `examples/` | Sample projects & runnable demos — apps, Chrome extension, multi-agent patterns, and Jupyter notebooks (`notebooks/`) |
 | `pr-reviews/` | Pull request review materials |
 | `scripts/` | Repo-wide utility scripts (e.g., `check-llms-txt-coverage.py` for docs/llms.txt sync) |
 
@@ -50,8 +50,8 @@ mem0 (Python SDK)          mem0-ts (TypeScript SDK)
 
 cli/python/ ──▶ mem0ai (optional, for OSS mode)
 cli/node/   ──▶ mem0ai (npm, for API calls)
-vercel-ai-sdk/ ──▶ ai, @ai-sdk/* providers
-openclaw/   ──▶ mem0ai (npm)
+integrations/vercel-ai-sdk/ ──▶ ai, @ai-sdk/* providers
+integrations/openclaw/ ──▶ mem0ai (npm)
 ```
 
 ## Development Setup
@@ -74,8 +74,8 @@ pre-commit install                # install git hooks
 # TypeScript packages
 cd mem0-ts && pnpm install        # TS SDK
 cd cli/node && pnpm install       # Node CLI
-cd vercel-ai-sdk && pnpm install  # Vercel AI provider
-cd openclaw && pnpm install       # OpenClaw plugin
+cd integrations/vercel-ai-sdk && pnpm install  # Vercel AI provider
+cd integrations/openclaw && pnpm install       # OpenClaw plugin
 ```
 
 ## Build, Lint, and Test Commands
@@ -163,10 +163,10 @@ pnpm run dev                       # tsx src/index.ts (development)
 - **Test:** vitest (not jest)
 - **Framework:** Commander + Chalk + ora + cli-table3
 
-### Vercel AI SDK Provider (`vercel-ai-sdk/`)
+### Vercel AI SDK Provider (`integrations/vercel-ai-sdk/`)
 
 ```bash
-cd vercel-ai-sdk
+cd integrations/vercel-ai-sdk
 pnpm install
 pnpm run build                     # tsup
 pnpm run lint                      # eslint
@@ -181,10 +181,10 @@ pnpm run test:node                 # vitest (node runtime)
 - **Lint:** ESLint + Prettier
 - **Test:** jest + vitest (edge/node configs)
 
-### OpenClaw Plugin (`openclaw/`)
+### OpenClaw Plugin (`integrations/openclaw/`)
 
 ```bash
-cd openclaw
+cd integrations/openclaw
 pnpm install
 pnpm run build                     # tsup
 pnpm run test                      # vitest run
@@ -330,7 +330,7 @@ make run-openai                    # OpenAI comparison
   - Root SDK: line length **120**
   - Python CLI: line length **100** with extended rule set (UP, B, SIM, RUF)
 - **isort** with `profile = "black"` for import sorting.
-- Ruff excludes `embedchain/` and `openmemory/` from root config.
+- Ruff excludes `openmemory/` from root config.
 
 ### TypeScript Conventions
 
@@ -343,8 +343,8 @@ make run-openai                    # OpenAI comparison
 |---------|--------|-----------|---------------|
 | `mem0-ts/` | — | Prettier | jest |
 | `cli/node/` | Biome | Biome | vitest |
-| `vercel-ai-sdk/` | ESLint | Prettier | jest + vitest |
-| `openclaw/` | — | — | vitest |
+| `integrations/vercel-ai-sdk/` | ESLint | Prettier | jest + vitest |
+| `integrations/openclaw/` | — | — | vitest |
 
 ### Type Checking
 
@@ -382,14 +382,14 @@ Model Context Protocol support in multiple places:
 
 - **Remote:** MCP server at `mcp.mem0.ai`
 - **Local:** MCP server in `openmemory/api/` (FastAPI-based)
-- **Plugin:** MCP tools in `mem0-plugin/` — 9 tools: `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`
+- **Plugin:** MCP tools in `integrations/mem0-plugin/` — 9 tools: `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`
 
 ### Plugin & Skills System
 
-- `mem0-plugin/` provides integrations for Claude Code, Cursor, and Codex via MCP server connections and lifecycle hooks for automatic memory capture.
+- `integrations/mem0-plugin/` provides integrations for Claude Code, Cursor, and Codex via MCP server connections and lifecycle hooks for automatic memory capture.
 - `skills/` contains structured skill definitions for AI agents, split into two categories:
   - **Reference skills** (always-on SDK knowledge): `mem0` (Python + TS SDKs, framework integrations), `mem0-cli` (terminal workflows), `mem0-vercel-ai-sdk` (Vercel AI provider).
-  - **Pipeline skills** (run on demand): `mem0-integrate` wires Mem0 into an existing repo via a TDD pipeline; `mem0-test-integration` verifies what the integrator produced on the same branch. The two are loosely coupled via `.mem0-integration/` artifacts.
+  - **Pipeline skills** (run on demand): `mem0-integrate` wires Mem0 into an existing repo via a TDD pipeline; `mem0-test-integration` verifies what the integrator produced on the same branch (the two are loosely coupled via `.mem0-integration/` artifacts); `mem0-oss-to-platform` migrates an existing project from Mem0 OSS to the hosted Platform SDK (plan, then execute on approval).
 
 ### Adding a New Provider
 
@@ -403,32 +403,58 @@ To add a new LLM, embedding, vector store, or reranker provider:
 6. Add any new dependencies to the appropriate optional group in `pyproject.toml` (never to core `dependencies`)
 7. Follow the exact pattern of existing providers in the same category — match method signatures, error handling, and config structure
 
+### Adding a New Integration
+
+Agent/editor integrations live under `integrations/`. Each is a self-contained directory (its own `package.json`/lockfile, build, and tests). To add one:
+
+1. Create `integrations/<name>/` and build the integration there.
+2. If it publishes to a registry, set `repository.directory: "integrations/<name>"` in its `package.json` so npm provenance links to the correct subdirectory.
+3. Add CI/CD under `.github/workflows/` (`<name>-checks.yml`, `<name>-cd.yml`). Use `integrations/<name>` in `paths:` triggers, `working-directory`, and `cache-dependency-path`. Register the release tag prefix in the `case` block in `release.yml` (keep the bare `v*` arm last). Keep workflow **filenames** stable — npm OIDC trusted publishing is pinned to repo + workflow filename.
+4. If it is a Claude Code / editor marketplace plugin, register its path in the five `marketplace.json` files (root + `.claude-plugin/`, `.cursor-plugin/`, `.codex-plugin/`, `.agents/plugins/`).
+5. Document it under `docs/integrations/` and add the page to `docs/docs.json` and `docs/llms.txt`.
+6. Add rows to the "Key Directories" table and the CI/CD tables in this file.
+
 ## CI/CD
 
 ### CI Workflows (automated testing)
 
-| Workflow | File | Triggers | Tests |
-|----------|------|----------|-------|
-| Python SDK | `ci.yml` | Push to main, PRs on `mem0/`, `tests/`, `pyproject.toml` | Ruff lint + pytest on Python 3.10, 3.11, 3.12 |
-| TypeScript SDK | `ts-sdk-ci.yml` | Push to main, PRs on `mem0-ts/` | Prettier + build + jest on Node 20, 22 |
-| Python CLI | `cli-python-ci.yml` | Push to `cli/python/`, PRs, manual | Ruff lint + pytest + hatch build on Python 3.10, 3.11, 3.12 |
-| Node CLI | `cli-node-ci.yml` | Push to `cli/node/`, PRs, manual | Biome lint + tsc + vitest + tsup build on Node 20, 22 |
-| OpenClaw | `openclaw-checks.yml` | Push to `openclaw/`, PRs, manual | tsc + vitest (with Codecov) + tsup build on Node 20, 22 |
-| Embedchain | `ci.yml` (shared) | PRs on `embedchain/` | Ruff + pytest + coverage on Python 3.9–3.12 |
+PR testing is orchestrated by a single entry point: **`ci-gate.yml` (CI Gate)** runs on every PR, detects which packages changed, and invokes only the relevant package workflows below as reusable workflows (`workflow_call`). Its final **`CI Gate`** job aggregates the results (skipped pipelines pass; failed or cancelled ones fail) and is the **only status check that needs to be required** in branch protection. Package workflows keep their own push-to-main and manual triggers; their `pull_request` triggers moved into the gate's path filters.
+
+| Workflow | File | Standalone Triggers | Tests |
+|----------|------|---------------------|-------|
+| CI Gate | `ci-gate.yml` | All PRs | Routes to and aggregates the workflows below |
+| Python SDK | `ci.yml` | Push to main | Ruff lint + pytest on Python 3.10, 3.11, 3.12 |
+| TypeScript SDK | `ts-sdk-ci.yml` | Push to main (on `mem0-ts/`) | Prettier + build + jest on Node 20, 22 |
+| Python CLI | `cli-python-ci.yml` | Push to main (on `cli/python/`), manual | Ruff lint + pytest + hatch build on Python 3.10, 3.11, 3.12 |
+| Node CLI | `cli-node-ci.yml` | Push to main (on `cli/node/`), manual | Biome lint + tsc + vitest + tsup build on Node 20, 22 |
+| OpenClaw | `openclaw-checks.yml` | Push to main (on `integrations/openclaw/`), manual | tsc + vitest (with Codecov) + tsup build on Node 20, 22 |
+| OpenCode Plugin | `opencode-plugin-checks.yml` | Push to main (on `integrations/mem0-plugin/.opencode-plugin/`), manual | Bun: tsc type-check + build + dist artifact check |
+| Pi Agent Plugin | `pi-agent-plugin-checks.yml` | Push to main (on `integrations/pi-agent-plugin/`), manual | tsc + vitest + tsup build (dist artifact check) on Node 20, 22 |
+| docs llms.txt | `docs-llms-txt-check.yml` | Manual | `docs/llms.txt` coverage check |
+
+When adding a new package CI workflow: give it `workflow_call` (plus `push`/`workflow_dispatch` as needed, but no `pull_request` trigger), then register it in `ci-gate.yml` — a path filter under the `changes` job, a call job, and an entry in the gate job's `needs` list.
 
 ### CD Workflows (automated publishing)
 
+Publishing is routed through a single entry point: **`release.yml` (Release Router)** is the only workflow that listens to `release: published` events. It matches the release tag prefix and dispatches the corresponding package workflow via `workflow_dispatch`, so each release produces exactly one routed run (no skipped runs from the other pipelines).
+
 | Workflow | File | Tag Prefix | Target |
 |----------|------|------------|--------|
+| Release Router | `release.yml` | (all releases) | dispatches the matching workflow below |
 | Python SDK | `cd.yml` | `v*` | PyPI (`mem0ai`) |
 | TypeScript SDK | `ts-sdk-cd.yml` | `ts-v*` | npm (`mem0ai`) |
 | Python CLI | `cli-python-cd.yml` | `cli-v*` | PyPI (`mem0-cli`) |
 | Node CLI | `cli-node-cd.yml` | `cli-node-v*` | npm (`@mem0/cli`) |
 | Vercel AI SDK | `vercel-ai-cd.yml` | `vercel-ai-v*` | npm (`@mem0/vercel-ai-provider`) |
 | OpenClaw | `openclaw-cd.yml` | `openclaw-v*` | npm (`@mem0/openclaw-mem0`) |
+| OpenCode Plugin | `opencode-plugin-cd.yml` | `opencode-v*` | npm (`@mem0/opencode-plugin`) |
+| Pi Agent Plugin | `pi-agent-plugin-cd.yml` | `pi-agent-v*` | npm (`@mem0/pi-agent-plugin`) |
 
+- Package CD workflows are `workflow_dispatch`-only (inputs: `tag`, `prerelease`); they check out and build the given tag. Registry trusted-publisher settings stay pinned to each package's own workflow filename.
 - All publishing uses **OIDC trusted publishing** — no tokens or secrets required.
 - First publish of a new npm package must be done manually; OIDC works for subsequent versions.
+- To re-publish a release (e.g. after a registry settings fix), do **not** delete/recreate the GitHub release — manually dispatch the package workflow instead: `gh workflow run <package>-cd.yml --ref refs/tags/<tag> -f tag=<tag>`.
+- When adding a new package: add its CD workflow (`workflow_dispatch` with `tag`/`prerelease` inputs), then register its tag prefix in the `case` block in `release.yml`. Keep the bare `v*` arm last.
 
 ### Utility Workflows
 
@@ -576,7 +602,6 @@ N/A
 - Modify CI/CD workflows without explicit approval.
 - Add new Python dependencies to the core `dependencies` list in `pyproject.toml` without discussion — use optional dependency groups instead.
 - Commit `.env` files, API keys, or credentials.
-- Modify `embedchain/` unless specifically working on that package — it has its own build system (Poetry).
 - Skip pre-commit hooks.
 - Use npm or yarn in TypeScript packages — this repo uses pnpm exclusively.
 - Use `require()` for imports in TypeScript — use ES module `import` syntax.

LLM.md

@@ -1026,7 +1026,8 @@ def get_user_preferences(user_id: str):
 ### AutoGen Integration
 
 ```python
-from cookbooks.helper.mem0_teachability import Mem0Teachability
+# Mem0Teachability lives in examples/notebooks/helper/ — see examples/notebooks/mem0-autogen.ipynb
+from helper.mem0_teachability import Mem0Teachability
 from mem0 import Memory
 
 # Add memory capability to AutoGen agents

MIGRATION_GUIDE_v1.0.md

@@ -1,221 +0,0 @@
-# Migration Guide: Upgrading to mem0 1.0.0
-
-## TL;DR
-
-**What changed?** We simplified the API by removing confusing version parameters. Now everything returns a consistent format: `{"results": [...]}`.
-
-**What you need to do:**
-1. Upgrade: `pip install mem0ai==1.0.0`
-2. Remove `version` and `output_format` parameters from your code
-3. Update response handling to use `result["results"]` instead of treating responses as lists
-
-**Time needed:** ~5-10 minutes for most projects
-
----
-
-## Quick Migration Guide
-
-### 1. Install the Update
-
-```bash
-pip install mem0ai==1.0.0
-```
-
-### 2. Update Your Code
-
-**If you're using the Memory API:**
-
-```python
-# Before
-memory = Memory(config=MemoryConfig(version="v1.1"))
-result = memory.add("I like pizza")
-
-# After
-memory = Memory()  # That's it - version is automatic now
-result = memory.add("I like pizza")
-```
-
-**If you're using the Client API:**
-
-```python
-# Before
-client.add(messages, output_format="v1.1")
-client.search(query, version="v2", output_format="v1.1")
-
-# After
-client.add(messages)  # Just remove those extra parameters
-client.search(query)
-```
-
-### 3. Update How You Handle Responses
-
-All responses now use the same format: a dictionary with `"results"` key.
-
-```python
-# Before - you might have done this
-result = memory.add("I like pizza")
-for item in result:  # Treating it as a list
-    print(item)
-
-# After - do this instead
-result = memory.add("I like pizza")
-for item in result["results"]:  # Access the results key
-    print(item)
-
-# Graph relations (if you use them)
-if "relations" in result:
-    for relation in result["relations"]:
-        print(relation)
-```
-
----
-
-## Enhanced Message Handling
-
-The platform client (MemoryClient) now supports the same flexible message formats as the OSS version:
-
-```python
-from mem0 import MemoryClient
-
-client = MemoryClient(api_key="your-key")
-
-# All three formats now work:
-
-# 1. Single string (automatically converted to user message)
-client.add("I like pizza", user_id="alice")
-
-# 2. Single message dictionary
-client.add({"role": "user", "content": "I like pizza"}, user_id="alice")
-
-# 3. List of messages (conversation)
-client.add([
-    {"role": "user", "content": "I like pizza"},
-    {"role": "assistant", "content": "I'll remember that!"}
-], user_id="alice")
-```
-
-### Async Mode Configuration
-
-The `async_mode` parameter now defaults to `True` but can be configured:
-
-```python
-# Default behavior (async_mode=True)
-client.add(messages, user_id="alice")
-
-# Explicitly set async mode
-client.add(messages, user_id="alice", async_mode=True)
-
-# Disable async mode if needed
-client.add(messages, user_id="alice", async_mode=False)
-```
-
-**Note:** `async_mode=True` provides better performance for most use cases. Only set it to `False` if you have specific synchronous processing requirements.
-
----
-
-## That's It!
-
-For most users, that's all you need to know. The changes are:
-- ✅ No more `version` or `output_format` parameters
-- ✅ Consistent `{"results": [...]}` response format
-- ✅ Cleaner, simpler API
-
----
-
-## Common Issues
-
-**Getting `KeyError: 'results'`?**
-
-Your code is still treating the response as a list. Update it:
-```python
-# Change this:
-for memory in response:
-
-# To this:
-for memory in response["results"]:
-```
-
-**Getting `TypeError: unexpected keyword argument`?**
-
-You're still passing old parameters. Remove them:
-```python
-# Change this:
-client.add(messages, output_format="v1.1")
-
-# To this:
-client.add(messages)
-```
-
-**Seeing deprecation warnings?**
-
-Remove any explicit `version="v1.0"` from your config:
-```python
-# Change this:
-memory = Memory(config=MemoryConfig(version="v1.0"))
-
-# To this:
-memory = Memory()
-```
-
----
-
-## What's New in 1.0.0
-
-- **Better vector stores:** Fixed OpenSearch and improved reliability across all stores
-- **Cleaner API:** One way to do things, no more confusing options
-- **Enhanced GCP support:** Better Vertex AI configuration options
-- **Flexible message input:** Platform client now accepts strings, dicts, and lists (aligned with OSS)
-- **Configurable async_mode:** Now defaults to `True` but users can override if needed
-
----
-
-## Need Help?
-
-- Check [GitHub Issues](https://github.com/mem0ai/mem0/issues)
-- Read the [documentation](https://docs.mem0.ai/)
-- Open a new issue if you're stuck
-
----
-
-## Advanced: Configuration Changes
-
-**If you configured vector stores with version:**
-
-```python
-# Before
-config = MemoryConfig(
-    version="v1.1",
-    vector_store=VectorStoreConfig(...)
-)
-
-# After
-config = MemoryConfig(
-    vector_store=VectorStoreConfig(...)
-)
-```
-
----
-
-## Testing Your Migration
-
-Quick sanity check:
-
-```python
-from mem0 import Memory
-
-memory = Memory()
-
-# Add should return a dict with "results"
-result = memory.add("I like pizza", user_id="test")
-assert "results" in result
-
-# Search should return a dict with "results"
-search = memory.search("food", user_id="test")
-assert "results" in search
-
-# Get all should return a dict with "results"
-all_memories = memory.get_all(user_id="test")
-assert "results" in all_memories
-
-print("✅ Migration successful!")
-```

README.md

@@ -47,7 +47,7 @@
 | Benchmark | Old | New  | Tokens  | Latency p50  |
 | --- | --- | --- | --- | --- |
 | **LoCoMo** | 71.4 | **91.6** | 7.0K  | 0.88s  |
-| **LongMemEval** | 67.8 | **93.4** | 6.8K  | 1.09s  |
+| **LongMemEval** | 67.8 | **94.8** | 6.8K  | 1.09s  |
 | **BEAM (1M)** | — | **64.1** | 6.7K  | 1.00s  |
 | **BEAM (10M)** | — | **48.6** | 6.9K  | 1.05s  |
 
@@ -58,12 +58,13 @@ All benchmarks run on the same production-representative model stack. Single-pas
 - **Agent-generated facts are first-class** -- when an agent confirms an action, that information is now stored with equal weight.
 - **Entity linking** -- entities are extracted, embedded, and linked across memories for retrieval boosting.
 - **Multi-signal retrieval** -- semantic, BM25 keyword, and entity matching scored in parallel and fused.
+- **Temporal Reasoning** -- time-aware retrieval that ranks the right dated instance for queries about current state, past events, and upcoming plans.
 
 See the [migration guide](https://docs.mem0.ai/migration/oss-v2-to-v3) for upgrade instructions. The [evaluation framework](https://github.com/mem0ai/memory-benchmarks) is open-sourced so anyone can reproduce the numbers.
 
 ## Research Highlights
 - **91.6 on LoCoMo** -- +20 points over the previous algorithm
-- **93.4 on LongMemEval** -- +26 points, with +53.6 on assistant memory recall
+- **94.8 on LongMemEval** -- +27 points, with +53.6 on assistant memory recall
 - **64.1 on BEAM (1M)** -- production-scale memory evaluation at 1M tokens
 - [Read the full paper](https://mem0.ai/research)
 
@@ -85,6 +86,26 @@ See the [migration guide](https://docs.mem0.ai/migration/oss-v2-to-v3) for upgra
 
 ## 🚀 Quickstart Guide <a name="quickstart"></a>
 
+### Sign up as an agent
+
+AI agents can mint a working Mem0 API key in under five seconds — no email, no dashboard, no OTP. Four commands end-to-end:
+
+```bash
+# 1. Install
+npm install -g @mem0/cli      # or: pip install mem0-cli
+
+# 2. Sign up as an agent (replace `claude-code` with your name)
+mem0 init --agent --agent-caller claude-code
+
+# 3. Add a memory
+mem0 add "I am using mem0"
+
+# 4. Search
+mem0 search "am I using mem0"
+```
+
+The human owner can claim the account later with `mem0 init --email <their-email>` — same key, memories preserved. Full guide: [Sign up as an agent](https://docs.mem0.ai/platform/agent-signup).
+
 | | Library | Self-Hosted Server | Cloud Platform |
 |---|---------|-------------------|----------------|
 | **Best for** | Testing, prototyping | Teams running on their own infrastructure | Zero-ops production use |
@@ -132,6 +153,7 @@ See the [self-hosted docs](https://docs.mem0.ai/open-source/overview) for config
 
 1. Sign up on [Mem0 Platform](https://app.mem0.ai?utm_source=oss&utm_medium=readme)
 2. Embed the memory layer via SDK or API keys
+3. Using hosted Qdrant vectors? See the [Platform migration guide](https://docs.mem0.ai/migration/oss-to-platform) to import them into Mem0 Platform.
 
 ### CLI
 
@@ -164,9 +186,10 @@ npx skills add https://github.com/mem0ai/mem0 --skill mem0-vercel-ai-sdk
 ```bash
 npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate
 npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration
+npx skills add https://github.com/mem0ai/mem0 --skill mem0-oss-to-platform
 ```
 
-Use `/mem0-integrate` to wire Mem0 into an existing repo via a test-first pipeline, then `/mem0-test-integration` to verify. See the [skills catalog](./skills/) or [Vibecoding with Mem0](https://docs.mem0.ai/vibecoding) for the full picture.
+Use `/mem0-integrate` to wire Mem0 into an existing repo via a test-first pipeline, then `/mem0-test-integration` to verify. Use `/mem0-oss-to-platform` to migrate an existing project from Mem0 OSS to the hosted Platform SDK. See the [skills catalog](./skills/) or [Vibecoding with Mem0](https://docs.mem0.ai/vibecoding) for the full picture.
 
 ### Basic Usage
 

cli/cli-spec.json

@@ -503,7 +503,7 @@
     },
     {
       "name": "init",
-      "description": "Setup wizard for mem0 CLI. Supports email login (--email) or manual API key (--api-key).",
+      "description": "Setup wizard for mem0 CLI. Supports Agent Mode bootstrap (--agent), email login (--email), or manual API key (--api-key).",
       "usage": "mem0 init [OPTIONS]",
       "needsBackend": false,
       "needsConfig": false,
@@ -516,7 +516,9 @@
         { "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": "force", "flags": ["--force"], "type": "boolean", "default": false, "help": "Overwrite existing config without confirmation." },
+        { "name": "agent", "flags": ["--agent"], "type": "boolean", "default": false, "help": "Bootstrap an unattended Agent Mode account (no email required)." },
+        { "name": "source", "flags": ["--source"], "type": "string", "default": null, "help": "Channel attribution for signup (e.g. github, hn, ph)." }
       ]
     },
     {

cli/node/CHANGELOG.md

@@ -0,0 +1,51 @@
+# Changelog
+
+All notable changes to `@mem0/cli` are documented here.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [0.2.8] — 2026-06-01
+
+### Security
+
+- Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs:
+  - `jws` → 4.0.1 (CVE-2025-65945)
+  - `langsmith` → ^0.6.0 (CVE-2026-45134)
+  - `tar-fs` → ^2.1.4 (CVE-2025-48387, CVE-2025-59343)
+  - `picomatch` → ^2.3.2 (CVE-2026-33671)
+  - `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996)
+  - `path-to-regexp` → ^8.4.0 (CVE-2026-4926)
+  - `rollup` → ^4.59.0 (CVE-2026-27606)
+  - `glob` → ^10.5.0 (CVE-2025-64756)
+  - `@modelcontextprotocol/sdk` → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)
+
+## [0.2.7] — 2026-05-20
+
+### Added
+
+- `mem0 whoami` — print the active agent's `default_user_id` (the AGENTRUSH
+  leaderboard identifier). Reads from local config, no network call.
+- `mem0 agent-rush <add | search>` — subcommand group that wraps the new
+  `/v1/agent-rush/` platform endpoints for the 7-day AGENTRUSH game. Project
+  routing is implicit (resolved server-side); no flags exposed. Pretty-prints
+  platform error codes into actionable hints (e.g. `agentrush_search_first`
+  → "Run 3 'mem0 agent-rush search' commands before adding.").
+- PII safety prompt on first `mem0 agent-rush add`. Interactive runs require
+  explicit `y` to acknowledge that AGENTRUSH memories are public; the
+  acknowledgement is persisted in `~/.mem0/config.json` under
+  `agent_rush.acknowledged_at` so the prompt only appears once per machine.
+  Non-interactive (agent) invocations surface the warning to stderr without
+  blocking.
+- New config schema field: `agent_rush.acknowledged_at` (ISO timestamp,
+  empty until first interactive acknowledgement).
+
+### Changed
+
+- HTTP requests from the new agent-rush commands send `X-Mem0-Mode: agent-rush`
+  in addition to the existing source headers, so platform telemetry can split
+  game traffic from regular CLI usage.
+
+## [0.2.6] and earlier
+
+Unlogged historical releases. See git history under `cli/node/`.

cli/node/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mem0/cli",
-  "version": "0.2.4",
+  "version": "0.2.8",
   "description": "The official CLI for mem0 — the memory layer for AI agents",
   "type": "module",
   "bin": {
@@ -40,7 +40,8 @@
     "typescript": "^5.4.0",
     "tsup": "^8.0.0",
     "tsx": "^4.7.0",
-    "vitest": "^1.5.0",
+    "vite": "^6.0.0",
+    "vitest": "^4.1.0",
     "@biomejs/biome": "^1.7.0",
     "@types/node": "^20.0.0"
   }

cli/node/pnpm-workspace.yaml

@@ -0,0 +1,13 @@
+packages:
+  - '.'
+
+onlyBuiltDependencies:
+  - "@biomejs/biome"
+  - esbuild
+
+overrides:
+  jws@4.0.0: 4.0.1
+  langsmith@<0.6.0: ^0.6.0
+  tar-fs@>=2.0.0 <2.1.4: ^2.1.4
+  picomatch@<2.3.2: ^2.3.2
+  "postcss@<8.5.10": ">=8.5.10"

cli/node/src/agent-detect.ts

@@ -0,0 +1,32 @@
+/**
+ * Detect whether the CLI is being invoked from inside an AI-agent context.
+ *
+ * Used by `mem0 init` to auto-enter Agent Mode (Rule 3 bootstrap) when an
+ * agent runtime env var is present. The return value is a context **trigger
+ * only** — the canonical agent identity is self-declared by the agent via
+ * `--agent-caller <name>` (Proof Editor-style) and never sniffed from env
+ * vars to fill the `agent_caller` field on the APIKey row.
+ *
+ * Returns a short name or null. Honest reporting depends on `--agent-caller`;
+ * this list is just enough to enable the zero-friction auto-bootstrap UX.
+ */
+
+const AGENT_CALLER_ENV: ReadonlyArray<readonly [string, readonly string[]]> = [
+	["claude-code", ["CLAUDECODE", "CLAUDE_CODE"]],
+	["cursor", ["CURSOR_AGENT", "CURSOR_SESSION_ID"]],
+	["codex", ["CODEX_CLI", "OPENAI_CODEX"]],
+	["cline", ["CLINE_AGENT", "CLINE"]],
+	["continue", ["CONTINUE_AGENT", "CONTINUE_SESSION"]],
+	["aider", ["AIDER_SESSION"]],
+	["goose", ["GOOSE_AGENT"]],
+	["windsurf", ["WINDSURF_AGENT"]],
+] as const;
+
+export function detectAgentCaller(): string | null {
+	for (const [name, envVars] of AGENT_CALLER_ENV) {
+		if (envVars.some((v) => process.env[v])) {
+			return name;
+		}
+	}
+	return null;
+}

cli/node/src/backend/platform.ts

@@ -3,7 +3,7 @@
  */
 
 import type { PlatformConfig } from "../config.js";
-import { isAgentMode } from "../state.js";
+import { captureNotice, isAgentMode } from "../state.js";
 import { CLI_VERSION } from "../version.js";
 import {
 	APIError,
@@ -90,7 +90,39 @@ export class PlatformBackend implements Backend {
 		if (resp.status === 204) {
 			return {};
 		}
-		return resp.json();
+
+		const data = await resp.json();
+
+		// Pull the unclaimed-Agent-Mode notice out of the body (or the header
+		// fallback for endpoints returning non-dict / non-dict-leading payloads)
+		// and stash for end-of-command surfacing.
+		let notice: string | null = null;
+		if (
+			data &&
+			typeof data === "object" &&
+			!Array.isArray(data) &&
+			"mem0_notice" in data
+		) {
+			notice = (data as Record<string, unknown>).mem0_notice as string;
+			// biome-ignore lint/performance/noDelete: intentional strip so downstream consumers don't see duplicate notice
+			delete (data as Record<string, unknown>).mem0_notice;
+		} else if (
+			Array.isArray(data) &&
+			data.length > 0 &&
+			typeof data[0] === "object" &&
+			data[0] !== null &&
+			"mem0_notice" in data[0]
+		) {
+			notice = (data[0] as Record<string, unknown>).mem0_notice as string;
+			// biome-ignore lint/performance/noDelete: see above.
+			delete (data[0] as Record<string, unknown>).mem0_notice;
+		}
+		if (!notice) {
+			notice = resp.headers.get("X-Mem0-Notice-Message") ?? null;
+		}
+		captureNotice(notice);
+
+		return data;
 	}
 
 	async add(

cli/node/src/commands/agent-mode.ts

@@ -0,0 +1,285 @@
+/**
+ * Agent Mode commands — bootstrap (unattended signup) and OTP-based claim.
+ */
+
+import readline from "node:readline";
+import { colors, printError, printInfo, printSuccess } from "../branding.js";
+import { type Mem0Config, saveConfig } from "../config.js";
+
+const { brand, dim } = colors;
+
+const SOURCE_HEADERS = {
+	"X-Mem0-Source": "cli",
+	"X-Mem0-Client-Language": "node",
+} as const;
+
+export interface BootstrapEnvelope {
+	api_key: string;
+	default_user_id: string;
+	org_id: string;
+	project_id: string;
+	mcp_url?: string;
+	smoke_test_url?: string;
+	claim_command?: string;
+	mem0_notice?: string;
+}
+
+function isValidEnvelope(v: unknown): v is BootstrapEnvelope {
+	return (
+		!!v &&
+		typeof v === "object" &&
+		typeof (v as BootstrapEnvelope).api_key === "string" &&
+		(v as BootstrapEnvelope).api_key.length > 0 &&
+		typeof (v as BootstrapEnvelope).default_user_id === "string" &&
+		(v as BootstrapEnvelope).default_user_id.length > 0
+	);
+}
+
+/**
+ * POST /api/v1/auth/agent_mode/ and mutate config in place.
+ *
+ * @param config - Mem0Config mutated in place with the new platform values.
+ * @param source - `--source` flag passthrough (analytics tag, free-form).
+ * @param agentCaller - Self-declared agent identity passed via `--agent-caller`
+ *   (e.g. `claude-code`, `cursor`). May be null when the caller omitted the
+ *   flag; the agent can backfill later via `mem0 identify <name>`. Sent to the
+ *   backend in the request body and saved into `platform.agentCaller` for
+ *   local introspection.
+ */
+export async function bootstrapViaBackend(
+	config: Mem0Config,
+	{
+		source,
+		agentCaller,
+	}: { source?: string | null; agentCaller?: string | null } = {},
+): Promise<void> {
+	const baseUrl = (config.platform.baseUrl || "https://api.mem0.ai").replace(
+		/\/+$/,
+		"",
+	);
+	const body: Record<string, unknown> = {};
+	if (source) body.source = source;
+	if (agentCaller) body.agent_caller = agentCaller;
+
+	let resp: Response;
+	try {
+		resp = await fetch(`${baseUrl}/api/v1/auth/agent_mode/`, {
+			method: "POST",
+			headers: {
+				...SOURCE_HEADERS,
+				"Content-Type": "application/json",
+			},
+			body: JSON.stringify(body),
+			signal: AbortSignal.timeout(30_000),
+		});
+	} catch (err) {
+		printError(
+			`Network error contacting Mem0: ${err instanceof Error ? err.message : String(err)}`,
+		);
+		process.exit(1);
+	}
+
+	if (resp.status === 429) {
+		printError("Rate-limited. Try again in a few minutes.");
+		process.exit(1);
+	}
+	if (resp.status === 503) {
+		printError("Agent Mode is temporarily disabled. Try again later.");
+		process.exit(1);
+	}
+	if (!resp.ok) {
+		let detail: string = resp.statusText;
+		try {
+			const errBody = (await resp.json()) as {
+				error?: string;
+				detail?: string;
+			};
+			detail = errBody.error ?? errBody.detail ?? resp.statusText;
+		} catch {
+			/* leave detail as statusText */
+		}
+		// Backend's @ratelimit decorator raises PermissionDenied, which DRF
+		// translates to a generic 403 "You do not have permission to perform
+		// this action." That's opaque — surface it as the rate-limit message
+		// it actually is.
+		if (resp.status === 403 && /permission/i.test(detail)) {
+			printError(
+				"Daily Agent Mode signup limit reached for this network (5/day). Try again from a different IP or after midnight UTC.",
+			);
+			process.exit(1);
+		}
+		printError(`Bootstrap failed: ${detail}`);
+		process.exit(1);
+	}
+
+	const envelope = (await resp.json()) as BootstrapEnvelope;
+	if (!isValidEnvelope(envelope)) {
+		// Defend against partial/malformed backend responses (e.g. {api_key: null}).
+		// Without this guard, the typed `string` field is silently set to
+		// undefined/null and persisted, producing confusing downstream errors.
+		printError(
+			"Bootstrap response missing required fields — please update the CLI.",
+		);
+		process.exit(1);
+	}
+
+	config.platform.apiKey = envelope.api_key;
+	config.platform.baseUrl = baseUrl;
+	config.platform.agentMode = true;
+	config.platform.createdVia = "agent_mode";
+	config.platform.agentCaller = agentCaller ?? "";
+	config.platform.claimedAt = "";
+	config.platform.defaultUserId = envelope.default_user_id;
+	// Adopt the slug-derived user_id as the default scope for memory ops.
+	config.defaults.userId = envelope.default_user_id;
+	saveConfig(config);
+
+	printSuccess(
+		`Agent Mode active. Default user_id: ${envelope.default_user_id}`,
+	);
+	if (envelope.mem0_notice) {
+		console.log(`\n\x1b[33m🔔 ${envelope.mem0_notice}\x1b[0m\n`);
+	} else {
+		// Fallback for older backends without the unified notice field.
+		const claimCmd = envelope.claim_command ?? "mem0 init --email <your-email>";
+		console.log(`  ${dim(`To claim this account later: ${claimCmd}`)}`);
+	}
+
+	if (!agentCaller) {
+		console.log(
+			`  ${dim("If you are an AI agent, identify yourself: `mem0 identify <your-name>` (e.g. claude-code, cursor).")}`,
+		);
+	}
+}
+
+/**
+ * Claim an existing Agent Mode account via OTP — no browser, no polling.
+ *
+ * Hits /api/v1/auth/email_code/ to send a verification code, prompts for it
+ * interactively (or accepts via `code`), then sends it to /verify/ alongside
+ * `agent_mode_api_key`. Backend's verify_email_code runs upgrade-in-place
+ * inline and returns the claim result.
+ */
+export async function claimViaOtp(
+	config: Mem0Config,
+	{ email, code }: { email: string; code?: string },
+): Promise<void> {
+	const baseUrl = (config.platform.baseUrl || "https://api.mem0.ai").replace(
+		/\/+$/,
+		"",
+	);
+	if (!config.platform.apiKey || !config.platform.agentMode) {
+		printError(
+			"This command requires an active Agent Mode config. Run `mem0 init` first.",
+		);
+		process.exit(1);
+	}
+
+	const rawKey = config.platform.apiKey;
+
+	// Step 1: request OTP (unless --code was supplied)
+	if (!code) {
+		const sendResp = await fetch(`${baseUrl}/api/v1/auth/email_code/`, {
+			method: "POST",
+			headers: { ...SOURCE_HEADERS, "Content-Type": "application/json" },
+			body: JSON.stringify({ email }),
+			signal: AbortSignal.timeout(30_000),
+		});
+		if (sendResp.status === 429) {
+			printError("Too many attempts. Try again in a few minutes.");
+			process.exit(1);
+		}
+		if (!sendResp.ok) {
+			let detail: string = sendResp.statusText;
+			try {
+				const errBody = (await sendResp.json()) as { error?: string };
+				if (errBody.error) detail = errBody.error;
+			} catch {
+				/* leave as statusText */
+			}
+			printError(`Failed to send code: ${detail}`);
+			process.exit(1);
+		}
+
+		printSuccess(`Verification code sent to ${email}. Check your inbox.`);
+
+		if (!process.stdin.isTTY) {
+			printError(
+				"No --code provided and terminal is non-interactive.",
+				`Re-run: mem0 init --email ${email} --code <code>`,
+			);
+			process.exit(1);
+		}
+
+		console.log();
+		code = await promptLine(`  ${brand("Verification Code")}`);
+		if (!code) {
+			printError("Code is required.");
+			process.exit(1);
+		}
+	}
+
+	// Step 2: verify + claim atomically
+	const verifyResp = await fetch(`${baseUrl}/api/v1/auth/email_code/verify/`, {
+		method: "POST",
+		headers: { ...SOURCE_HEADERS, "Content-Type": "application/json" },
+		body: JSON.stringify({
+			email,
+			code: code.trim(),
+			agent_mode_api_key: rawKey,
+		}),
+		signal: AbortSignal.timeout(30_000),
+	});
+
+	if (!verifyResp.ok) {
+		let detail: string = verifyResp.statusText;
+		let errCode = "";
+		try {
+			const errBody = (await verifyResp.json()) as {
+				error?: string;
+				code?: string;
+			};
+			if (errBody.error) detail = errBody.error;
+			if (errBody.code) errCode = errBody.code;
+		} catch {
+			/* leave as statusText */
+		}
+		printError(`Claim failed: ${detail}`);
+		if (errCode === "email_already_claimed") {
+			console.log(
+				`  ${dim("Tip: this email already has a Mem0 account. Sign in at app.mem0.ai with your existing credentials.")}`,
+			);
+		}
+		process.exit(1);
+	}
+
+	const claimBody = (await verifyResp.json()) as {
+		claimed?: boolean;
+		claimed_at?: string;
+	};
+	if (!claimBody.claimed) {
+		printError(`Unexpected verify response: ${JSON.stringify(claimBody)}`);
+		process.exit(1);
+	}
+
+	config.platform.agentMode = false;
+	config.platform.claimedAt = claimBody.claimed_at ?? new Date().toISOString();
+	config.platform.userEmail = email;
+	config.platform.createdVia = "email";
+	saveConfig(config);
+
+	printSuccess(`Agent claimed to ${email}. Your API key is unchanged.`);
+}
+
+function promptLine(label: string): Promise<string> {
+	const rl = readline.createInterface({
+		input: process.stdin,
+		output: process.stdout,
+	});
+	return new Promise((resolve) => {
+		rl.question(`${label}: `, (answer) => {
+			rl.close();
+			resolve(answer.trim());
+		});
+	});
+}

cli/node/src/commands/agent-rush.ts

@@ -0,0 +1,147 @@
+/**
+ * `mem0 agent-rush <add|search> "..."` — wraps the AGENTRUSH platform endpoints.
+ * Project routing is implicit (server-side); zero flags needed.
+ */
+
+import readline from "node:readline";
+import { colors, printError, printSuccess } from "../branding.js";
+import { loadConfig, saveConfig } from "../config.js";
+import { CLI_VERSION } from "../version.js";
+
+const PII_WARNING = [
+	"",
+	"⚠️  AGENTRUSH memories are PUBLIC — visible to any other player.",
+	"   Do not include real names, emails, secrets, work content, or PII.",
+	"",
+].join("\n");
+
+const ERROR_HINTS: Record<string, string> = {
+	agentrush_search_first:
+		"Run 3 'mem0 agent-rush search' commands before adding.",
+	agentrush_search_quota: "You've used your 3 lifetime searches.",
+	agentrush_add_quota: "You've used your 3 lifetime adds.",
+	agentrush_not_agent_mode:
+		"Re-run 'mem0 init --agent' to bootstrap an agent-mode key.",
+	agentrush_length: "Memory text must be 50-1000 characters.",
+	agentrush_no_urls: "URLs are not allowed.",
+	agentrush_blocklist: "Content contains a blocked term.",
+	agentrush_global_quota: "Event-wide cap reached. Try again later.",
+	agentrush_not_provisioned:
+		"AGENTRUSH is not provisioned in this environment.",
+};
+
+async function callEndpoint(
+	path: string,
+	body: Record<string, unknown>,
+): Promise<unknown> {
+	const config = loadConfig();
+	const baseUrl = (config.platform?.baseUrl ?? "https://api.mem0.ai").replace(
+		/\/+$/,
+		"",
+	);
+
+	if (!config.platform?.apiKey) {
+		printError("Not initialized. Run `mem0 init --agent` first.");
+		process.exit(1);
+	}
+
+	const resp = await fetch(`${baseUrl}${path}`, {
+		method: "POST",
+		headers: {
+			Authorization: `Token ${config.platform.apiKey}`,
+			"Content-Type": "application/json",
+			"X-Mem0-Source": "cli",
+			"X-Mem0-Client-Language": "node",
+			"X-Mem0-Client-Version": CLI_VERSION,
+			"X-Mem0-Mode": "agent-rush",
+		},
+		body: JSON.stringify(body),
+		signal: AbortSignal.timeout(30_000),
+	});
+
+	const json = await resp.json().catch(() => ({}));
+
+	if (!resp.ok) {
+		const code =
+			(json as { error?: { code?: string } }).error?.code ?? "unknown";
+		printError(`AGENTRUSH error: ${code}`);
+		if (ERROR_HINTS[code]) {
+			console.log(`  ${colors.dim(ERROR_HINTS[code])}`);
+		}
+		process.exit(1);
+	}
+
+	return json;
+}
+
+function promptLine(question: string): Promise<string> {
+	const rl = readline.createInterface({
+		input: process.stdin,
+		output: process.stdout,
+	});
+	return new Promise((resolve) => {
+		rl.question(question, (answer) => {
+			rl.close();
+			resolve(answer.trim());
+		});
+	});
+}
+
+/**
+ * Ensure the human has acknowledged that AGENTRUSH memories are PUBLIC.
+ *
+ * Interactive (TTY): show the prompt; on "y" persist `agentRush.acknowledgedAt`
+ * so we never ask the same machine twice. On anything else, abort.
+ *
+ * Non-interactive (agent invocation, no TTY): print the warning to stderr
+ * for the human reading the agent's transcript and proceed — agents can't
+ * answer y/N prompts.
+ */
+async function ensureWarningAcknowledged(): Promise<void> {
+	const config = loadConfig();
+	if (config.agentRush?.acknowledgedAt) return;
+
+	if (!process.stdin.isTTY || !process.stdout.isTTY) {
+		// Agent context: surface the warning to stderr, don't block.
+		console.error(PII_WARNING);
+		return;
+	}
+
+	console.log(PII_WARNING);
+	const answer = (await promptLine("   Continue? [y/N]: ")).toLowerCase();
+	if (answer !== "y" && answer !== "yes") {
+		printError("Aborted.");
+		process.exit(1);
+	}
+
+	config.agentRush.acknowledgedAt = new Date().toISOString();
+	saveConfig(config);
+}
+
+export async function cmdAgentRushAdd(content: string): Promise<void> {
+	await ensureWarningAcknowledged();
+	const result = await callEndpoint("/v1/agent-rush/memories/", { content });
+	printSuccess(
+		`Memory submitted (event_id: ${(result as { event_id?: string }).event_id ?? "?"})`,
+	);
+}
+
+export async function cmdAgentRushSearch(query: string): Promise<void> {
+	const result = (await callEndpoint("/v1/agent-rush/memories/search/", {
+		query,
+	})) as {
+		results?: Array<{ memory?: string }>;
+		memories?: Array<{ memory?: string }>;
+	};
+
+	const memories = result.results ?? result.memories ?? [];
+
+	if (memories.length === 0) {
+		console.log(colors.dim("(no results)"));
+		return;
+	}
+
+	memories.slice(0, 5).forEach((m, i) => {
+		console.log(`  ${i + 1}. ${m.memory ?? JSON.stringify(m)}`);
+	});
+}

cli/node/src/commands/identify.ts

@@ -0,0 +1,75 @@
+/**
+ * mem0 identify — declare which agent owns the current agent-mode key.
+ *
+ * Used when `mem0 init --agent` ran without --agent-caller, so the backend
+ * saved agent_caller=NULL. The agent re-runs `mem0 identify <name>` to PATCH
+ * its own row with its real identity. Idempotent.
+ */
+
+import { printError, printSuccess } from "../branding.js";
+import { loadConfig, saveConfig } from "../config.js";
+
+const SOURCE_HEADERS = {
+	"X-Mem0-Source": "cli",
+	"X-Mem0-Client-Language": "node",
+} as const;
+
+export async function runIdentify(name: string): Promise<void> {
+	const config = loadConfig();
+	if (!config.platform.apiKey) {
+		printError("No API key configured. Run `mem0 init --agent` first.");
+		process.exit(1);
+	}
+	if (!config.platform.agentMode) {
+		printError("This command only works on unclaimed agent-mode keys.");
+		process.exit(1);
+	}
+
+	const clean = (name ?? "").trim();
+	if (!clean) {
+		printError("Agent name is required.");
+		process.exit(1);
+	}
+
+	const baseUrl = (config.platform.baseUrl || "https://api.mem0.ai").replace(
+		/\/+$/,
+		"",
+	);
+
+	let resp: Response;
+	try {
+		resp = await fetch(`${baseUrl}/api/v1/auth/agent_mode/caller/`, {
+			method: "PATCH",
+			headers: {
+				...SOURCE_HEADERS,
+				Authorization: `Token ${config.platform.apiKey}`,
+				"Content-Type": "application/json",
+			},
+			body: JSON.stringify({ agent_caller: clean }),
+			signal: AbortSignal.timeout(30_000),
+		});
+	} catch (err) {
+		printError(
+			`Network error: ${err instanceof Error ? err.message : String(err)}`,
+		);
+		process.exit(1);
+	}
+
+	if (!resp.ok) {
+		let detail: string = resp.statusText;
+		try {
+			const body = (await resp.json()) as { error?: string };
+			if (body.error) detail = body.error;
+		} catch {
+			/* leave as statusText */
+		}
+		printError(`Identify failed: ${detail}`);
+		process.exit(1);
+	}
+
+	const body = (await resp.json()) as { agent_caller?: string };
+	const canonical = body.agent_caller ?? clean;
+	config.platform.agentCaller = canonical;
+	saveConfig(config);
+	printSuccess(`Identified as ${canonical}.`);
+}

cli/node/src/commands/init.ts

@@ -21,6 +21,8 @@ import {
 	redactKey,
 	saveConfig,
 } from "../config.js";
+import { formatJsonEnvelope } from "../output.js";
+import { isAgentMode } from "../state.js";
 
 const { brand, dim } = colors;
 
@@ -33,6 +35,65 @@ function validateEmail(email: string): void {
 	}
 }
 
+/** @internal — exported for unit tests. */
+export async function pingKey(
+	apiKey: string,
+	baseUrl: string,
+	timeoutMs = 5000,
+): Promise<boolean> {
+	// Returns false ONLY on a definitive "invalid key" signal (HTTP 401/403).
+	// Network errors, timeouts, and 5xx responses return true so we prefer
+	// reusing an existing key over silently minting a new shadow on a transient
+	// blip (which would also clobber config + plugin-sync targets).
+	try {
+		const resp = await fetch(`${baseUrl.replace(/\/+$/, "")}/v1/ping/`, {
+			headers: { Authorization: `Token ${apiKey}` },
+			signal: AbortSignal.timeout(timeoutMs),
+		});
+		return resp.status !== 401 && resp.status !== 403;
+	} catch {
+		return true; // unknown — prefer reuse
+	}
+}
+
+async function maybeIdentify(
+	key: string,
+	baseUrl: string,
+	agentCaller: string | undefined,
+): Promise<void> {
+	// Best-effort PATCH agent_caller when --agent-caller is supplied on a
+	// reused key. Silent no-op on any failure — reuse must not break.
+	if (!agentCaller) return;
+	try {
+		const resp = await fetch(
+			`${baseUrl.replace(/\/+$/, "")}/api/v1/auth/agent_mode/caller/`,
+			{
+				method: "PATCH",
+				headers: {
+					Authorization: `Token ${key}`,
+					"Content-Type": "application/json",
+				},
+				body: JSON.stringify({ agent_caller: agentCaller }),
+				signal: AbortSignal.timeout(10_000),
+			},
+		);
+		if (resp.ok) {
+			try {
+				const body = (await resp.json()) as { agent_caller?: string };
+				if (fs.existsSync(CONFIG_FILE)) {
+					const cfg = loadConfig();
+					cfg.platform.agentCaller = body.agent_caller ?? agentCaller;
+					saveConfig(cfg);
+				}
+			} catch {
+				/* swallow — best effort */
+			}
+		}
+	} catch {
+		/* swallow — best effort */
+	}
+}
+
 async function emailLogin(
 	email: string,
 	code: string | undefined,
@@ -196,6 +257,7 @@ async function setupPlatform(config: Mem0Config): Promise<void> {
 		process.exit(1);
 	}
 	config.platform.apiKey = apiKey;
+	config.platform.createdVia = "api_key";
 }
 
 async function setupDefaults(config: Mem0Config): Promise<void> {
@@ -249,14 +311,35 @@ export async function runInit(
 		email?: string;
 		code?: string;
 		force?: boolean;
+		agent?: boolean;
+		source?: string;
+		agentCaller?: string;
 	} = {},
 ): Promise<void> {
+	const { detectAgentCaller } = await import("../agent-detect.js");
+	const { bootstrapViaBackend, claimViaOtp } = await import("./agent-mode.js");
+	const { isAgentMode } = await import("../state.js");
+	const { captureEvent } = await import("../telemetry.js");
+
+	const fireInit = (
+		mode: "agent" | "email" | "api_key" | "existing_key",
+		claimed = false,
+	) => {
+		const props: Record<string, unknown> = { command: "init", mode };
+		// Self-declared via --agent-caller; not sniffed from env vars.
+		if (opts.agentCaller) props.agent_caller = opts.agentCaller;
+		if (opts.source) props.signup_source = opts.source;
+		if (claimed) props.claimed_agent_mode = true;
+		captureEvent("cli.init", props);
+	};
+
 	const config = createDefaultConfig();
 	const savedConfig = loadConfig();
 	const baseUrl =
 		process.env.MEM0_BASE_URL ||
 		savedConfig.platform.baseUrl ||
 		DEFAULT_BASE_URL;
+	config.platform.baseUrl = baseUrl;
 
 	// Guards
 	if (opts.code && !opts.email) {
@@ -268,6 +351,84 @@ export async function runInit(
 		process.exit(1);
 	}
 
+	// ── Claim flow: --email against an existing agent-mode config ───────────
+	if (
+		opts.email &&
+		fs.existsSync(CONFIG_FILE) &&
+		savedConfig.platform.agentMode &&
+		savedConfig.platform.apiKey
+	) {
+		const email = opts.email.trim().toLowerCase();
+		validateEmail(email);
+		printInfo(`Claiming Agent Mode account to ${email}...`);
+		await claimViaOtp(savedConfig, { email, code: opts.code });
+		fireInit("email", true);
+		return;
+	}
+
+	// ── Agent Mode path runs BEFORE the existing-config guard ──────────────
+	// Rule 1/2 will REUSE a valid existing key (not overwrite), so we must
+	// short-circuit before the guard prompts the user about overwriting.
+	// Rule 3 only mints when there's no valid key to reuse — in that case
+	// overwriting is what the user wants.
+	const agentCtx =
+		opts.agent === true || isAgentMode() || detectAgentCaller() !== null;
+	if (!opts.apiKey && !opts.email && agentCtx) {
+		const emitReuseEnvelope = (source: "env" | "config") => {
+			if (isAgentMode()) {
+				formatJsonEnvelope({
+					command: "init",
+					data: {
+						api_key_saved: false,
+						api_key_source: source,
+						agent_mode: false,
+						message:
+							"Existing Mem0 API key found and reused. No Agent Mode key was created.",
+					},
+				});
+			} else {
+				printSuccess(
+					source === "env"
+						? "Existing MEM0_API_KEY is valid; reusing it. No new Agent Mode key was minted."
+						: "Existing API key in config is valid; reusing it. No new Agent Mode key was minted.",
+				);
+			}
+		};
+		// Rule 1: env MEM0_API_KEY valid → reuse, no new key.
+		const envKey = (process.env.MEM0_API_KEY || "").trim();
+		if (envKey && (await pingKey(envKey, baseUrl))) {
+			await maybeIdentify(envKey, baseUrl, opts.agentCaller);
+			emitReuseEnvelope("env");
+			fireInit("existing_key");
+			return;
+		}
+		// Rule 2: existing config api_key valid → reuse.
+		if (
+			savedConfig.platform.apiKey &&
+			(await pingKey(savedConfig.platform.apiKey, baseUrl))
+		) {
+			await maybeIdentify(
+				savedConfig.platform.apiKey,
+				baseUrl,
+				opts.agentCaller,
+			);
+			emitReuseEnvelope("config");
+			fireInit("existing_key");
+			return;
+		}
+		// Rule 3: mint a fresh shadow (no valid key to reuse).
+		// agent_caller is self-declared via --agent-caller (Proof Editor-style),
+		// not derived from env-var sniffing. detectAgentCaller() above is still
+		// used as a context trigger (does this look like an agent?) but never
+		// to fill identity.
+		await bootstrapViaBackend(config, {
+			source: opts.source ?? null,
+			agentCaller: opts.agentCaller ?? null,
+		});
+		fireInit("agent");
+		return;
+	}
+
 	// Warn if an existing config with an API key would be overwritten
 	if (
 		!opts.force &&
@@ -324,6 +485,7 @@ export async function runInit(
 		config.platform.apiKey = apiKeyVal;
 		config.platform.baseUrl = baseUrl;
 		config.platform.userEmail = email;
+		config.platform.createdVia = "email";
 		config.defaults.userId =
 			opts.userId || process.env.USER || process.env.USERNAME || "mem0-cli";
 
@@ -339,13 +501,15 @@ export async function runInit(
 	}
 
 	// ── API key flow ──────────────────────────────────────────────────────────
+	// (Agent Mode branch runs earlier — see above, before the existing-config
+	// guard, so Rules 1/2 can REUSE a valid key without prompting overwrite.)
 
 	// 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>]",
+				"Usage: mem0 init --api-key <key>, --email <addr>, or --agent for unattended Agent Mode bootstrap.",
 			);
 			process.exit(1);
 		}
@@ -356,6 +520,7 @@ export async function runInit(
 	// Non-interactive: both flags provided
 	if (opts.apiKey && opts.userId) {
 		config.platform.apiKey = opts.apiKey;
+		config.platform.createdVia = "api_key";
 		config.defaults.userId = opts.userId;
 		await validatePlatform(config);
 		saveConfig(config);
@@ -403,6 +568,7 @@ export async function runInit(
 			config.platform.apiKey = apiKeyVal;
 			config.platform.baseUrl = baseUrl;
 			config.platform.userEmail = email;
+			config.platform.createdVia = "email";
 			config.defaults.userId =
 				opts.userId || process.env.USER || process.env.USERNAME || "mem0-cli";
 

cli/node/src/commands/memory.ts

@@ -46,7 +46,7 @@ export async function cmdAdd(
 		file?: string;
 		metadata?: string;
 		immutable: boolean;
-		noInfer: boolean;
+		infer?: boolean;
 		expires?: string;
 		categories?: string;
 		output: string;
@@ -136,7 +136,7 @@ export async function cmdAdd(
 				runId: opts.runId,
 				metadata: meta,
 				immutable: opts.immutable,
-				infer: !opts.noInfer,
+				infer: opts.infer !== false,
 				expires: opts.expires,
 				categories: cats,
 			});

cli/node/src/commands/whoami.ts

@@ -0,0 +1,18 @@
+/**
+ * `mem0 whoami` — print the active agent's default_user_id (AGENTRUSH identifier).
+ * Reads from local config; no network call.
+ */
+
+import { colors, printError, printInfo } from "../branding.js";
+import { loadConfig } from "../config.js";
+
+export async function cmdWhoami(): Promise<void> {
+	const config = loadConfig();
+	const sessionId = config.platform?.defaultUserId;
+	if (!sessionId) {
+		printError("No default_user_id found. Run `mem0 init --agent` first.");
+		process.exit(1);
+	}
+	console.log(`Your AGENTRUSH identifier:  ${colors.brand(sessionId)}`);
+	printInfo("Find your row at https://mem0.ai/agentrush");
+}

cli/node/src/config.ts

@@ -21,6 +21,12 @@ export interface PlatformConfig {
 	apiKey: string;
 	baseUrl: string;
 	userEmail: string;
+	// Agent Mode (unclaimed-shadow signup)
+	agentMode: boolean; // true while the key is an unclaimed agent-mode key
+	createdVia: string; // "agent_mode" | "email" | "api_key" | "existing_key"
+	agentCaller: string; // canonical agent name when createdVia === "agent_mode" (e.g. "claude-code")
+	claimedAt: string; // ISO timestamp once the agent has been claimed
+	defaultUserId: string; // `user_<slug>` returned by bootstrap; auto-default scope
 }
 
 export interface DefaultsConfig {
@@ -34,11 +40,18 @@ export interface TelemetryConfig {
 	anonymousId: string;
 }
 
+export interface AgentRushConfig {
+	// ISO timestamp the human acknowledged the "memories are public" warning.
+	// Empty until first interactive `mem0 agent-rush add`.
+	acknowledgedAt: string;
+}
+
 export interface Mem0Config {
 	version: number;
 	defaults: DefaultsConfig;
 	platform: PlatformConfig;
 	telemetry: TelemetryConfig;
+	agentRush: AgentRushConfig;
 }
 
 export function createDefaultConfig(): Mem0Config {
@@ -54,10 +67,18 @@ export function createDefaultConfig(): Mem0Config {
 			apiKey: "",
 			baseUrl: DEFAULT_BASE_URL,
 			userEmail: "",
+			agentMode: false,
+			createdVia: "",
+			agentCaller: "",
+			claimedAt: "",
+			defaultUserId: "",
 		},
 		telemetry: {
 			anonymousId: "",
 		},
+		agentRush: {
+			acknowledgedAt: "",
+		},
 	};
 }
 
@@ -79,6 +100,11 @@ export function loadConfig(): Mem0Config {
 		config.platform.apiKey = plat.api_key ?? "";
 		config.platform.baseUrl = plat.base_url ?? DEFAULT_BASE_URL;
 		config.platform.userEmail = plat.user_email ?? "";
+		config.platform.agentMode = Boolean(plat.agent_mode ?? false);
+		config.platform.createdVia = plat.created_via ?? "";
+		config.platform.agentCaller = plat.agent_caller ?? "";
+		config.platform.claimedAt = plat.claimed_at ?? "";
+		config.platform.defaultUserId = plat.default_user_id ?? "";
 
 		const defaults = data.defaults ?? {};
 		config.defaults.userId = defaults.user_id ?? "";
@@ -87,6 +113,8 @@ export function loadConfig(): Mem0Config {
 		config.defaults.runId = defaults.run_id ?? "";
 		const telemetry = data.telemetry ?? {};
 		config.telemetry.anonymousId = telemetry.anonymous_id ?? "";
+		const agentRush = data.agent_rush ?? {};
+		config.agentRush.acknowledgedAt = agentRush.acknowledged_at ?? "";
 	}
 
 	// Environment variable overrides
@@ -118,14 +146,36 @@ export function saveConfig(config: Mem0Config): void {
 			api_key: config.platform.apiKey,
 			base_url: config.platform.baseUrl,
 			user_email: config.platform.userEmail,
+			agent_mode: config.platform.agentMode,
+			created_via: config.platform.createdVia,
+			agent_caller: config.platform.agentCaller,
+			claimed_at: config.platform.claimedAt,
+			default_user_id: config.platform.defaultUserId,
 		},
 		telemetry: {
 			anonymous_id: config.telemetry.anonymousId,
 		},
+		agent_rush: {
+			acknowledged_at: config.agentRush.acknowledgedAt,
+		},
 	};
 
 	fs.writeFileSync(CONFIG_FILE, JSON.stringify(data, null, 2));
 	fs.chmodSync(CONFIG_FILE, 0o600);
+
+	// Propagate api_key to ecosystem touchpoints (Claude plugin env injection,
+	// shell rc exports). Idempotent — updates only EXISTING entries; never
+	// creates new ones. Best-effort: errors swallowed so config.json is
+	// always authoritative, never blocked by plugin-state issues.
+	if (config.platform.apiKey) {
+		try {
+			// eslint-disable-next-line @typescript-eslint/no-require-imports
+			const { syncApiKey } = require("./plugin-sync.js");
+			syncApiKey(config.platform.apiKey);
+		} catch {
+			/* swallow */
+		}
+	}
 }
 
 export function redactKey(key: string): string {

cli/node/src/index.ts

@@ -13,7 +13,12 @@ import { colors, printError, printWarning } from "./branding.js";
 import type { Mem0Config } from "./config.js";
 import { loadConfig, saveConfig } from "./config.js";
 import { richFormatHelp } from "./help.js";
-import { setAgentMode } from "./state.js";
+import {
+	isAgentMode,
+	setAgentMode,
+	setCurrentCommand,
+	takeNotice,
+} from "./state.js";
 import { captureEvent } from "./telemetry.js";
 import { CLI_VERSION } from "./version.js";
 
@@ -141,6 +146,11 @@ program
 	.description(
 		`◆ Mem0 CLI v${CLI_VERSION} · Node.js SDK\n\nThe Memory Layer for AI Agents`,
 	)
+	// Positional options: flags AFTER a subcommand name belong to that
+	// subcommand, not the global program. Without this, `mem0 init --agent`
+	// routes `--agent` to the program-level alias (for --json) and init's own
+	// `--agent` (Agent Mode bootstrap) silently never fires.
+	.enablePositionalOptions()
 	.option("--version", "Show version and exit.")
 	.on("option:version", () => {
 		console.log(`  ${colors.brand("◆ Mem0")} CLI v${CLI_VERSION}`);
@@ -149,7 +159,7 @@ program
 	.option("--json", "Output as JSON for agent/programmatic use.")
 	.option(
 		"--agent",
-		"Output as JSON for agent/programmatic use. (alias: --json)",
+		"Output as JSON for agent/programmatic use. (alias: --json) Place BEFORE the subcommand: `mem0 --agent <cmd>`. On `init`, `mem0 init --agent` is the Agent Mode bootstrap flag instead.",
 	)
 	.usage("<command> [options]")
 	.helpOption("--help", "Show this message and exit.")
@@ -166,6 +176,14 @@ program.hook("preAction", (_thisCommand, actionCommand) => {
 			parentName && parentName !== "mem0"
 				? `${parentName}.${commandName}`
 				: commandName;
+		// Stash the active command name in shared state so the JSON
+		// error envelope (printError) can report which command failed
+		// instead of an empty `"command": ""` field.
+		setCurrentCommand(fullCommand);
+		// init fires its own telemetry from runInit with full M1-M6 props
+		// (mode/agent_caller/signup_source/claimed_agent_mode); skip the
+		// auto-fire here so we don't double-count.
+		if (fullCommand === "init") return;
 		const isAgent = !!(program.opts().json || program.opts().agent);
 		captureEvent(
 			`cli.${fullCommand}`,
@@ -193,11 +211,32 @@ program
 		"Verification code (use with --email for non-interactive login).",
 	)
 	.option("--force", "Overwrite existing config without confirmation.", false)
+	.option(
+		"--agent",
+		"Bootstrap an unattended Agent Mode account (no email required).",
+		false,
+	)
+	.option(
+		"--source <channel>",
+		"Channel attribution for signup (e.g. github, hn, ph).",
+	)
+	.option(
+		"--agent-caller <name>",
+		"Self-declared agent identity (e.g. claude-code, cursor). Used with --agent to attribute Agent Mode signups.",
+	)
+	// Accept `--json` at the init level too so the PRD-documented form
+	// `mem0 init --agent --json` works without requiring users to move it
+	// before the subcommand. Effect is identical to the global `--json`:
+	// flip agent-mode output state.
+	.option("--json", "Output as JSON (alias for global `--json`).", 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",
+		"\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\n  $ mem0 init --agent             # Bootstrap an Agent Mode account (unattended)\n  $ mem0 init --email you@example.com  # Claims an existing Agent Mode key when one is present",
 	)
 	.action(async (opts) => {
+		// `--json` at init level mirrors the global flag — flip agent_mode
+		// state so downstream formatters use JSON envelopes.
+		if (opts.json) setAgentMode(true);
 		const { runInit } = await import("./commands/init.js");
 		await runInit({
 			apiKey: opts.apiKey,
@@ -205,9 +244,66 @@ program
 			email: opts.email,
 			code: opts.code,
 			force: opts.force,
+			agent: opts.agent,
+			source: opts.source,
+			agentCaller: opts.agentCaller,
 		});
 	});
 
+// ── Setup: identify (post-bootstrap agent self-tag) ──────────────────────
+
+program
+	.command("identify <name>")
+	.description(
+		"Tag your active Agent Mode key with the AI agent that's using it (e.g. claude-code, cursor).",
+	)
+	.action(async (name: string) => {
+		const { runIdentify } = await import("./commands/identify.js");
+		await runIdentify(name);
+	});
+
+// ── Setup: whoami (print active agent identifier) ────────────────────────
+
+program
+	.command("whoami")
+	.description("Print the active agent's AGENTRUSH identifier.")
+	.action(async () => {
+		const { cmdWhoami } = await import("./commands/whoami.js");
+		await cmdWhoami();
+	});
+
+// ── AGENTRUSH subcommand group ────────────────────────────────────────────
+
+const agentRush = program
+	.command("agent-rush")
+	.description("AGENTRUSH game commands.")
+	.addHelpCommand(false)
+	.configureHelp({ formatHelp: richFormatHelp });
+
+agentRush
+	.command("add <content...>")
+	.description("Submit a memory to AGENTRUSH.")
+	.addHelpText(
+		"after",
+		'\nExamples:\n  $ mem0 agent-rush add "I used mem0 to build a coding agent"\n  $ mem0 agent-rush add "Agents that remember are better agents"',
+	)
+	.action(async (parts: string[]) => {
+		const { cmdAgentRushAdd } = await import("./commands/agent-rush.js");
+		await cmdAgentRushAdd(parts.join(" "));
+	});
+
+agentRush
+	.command("search <query...>")
+	.description("Search AGENTRUSH memories.")
+	.addHelpText(
+		"after",
+		'\nExamples:\n  $ mem0 agent-rush search "agents and memory and tools"\n  $ mem0 agent-rush search "coding assistant"',
+	)
+	.action(async (parts: string[]) => {
+		const { cmdAgentRushSearch } = await import("./commands/agent-rush.js");
+		await cmdAgentRushSearch(parts.join(" "));
+	});
+
 // ── Memory: add ───────────────────────────────────────────────────────────
 
 program
@@ -769,4 +865,16 @@ program
 
 // ── Entrypoint ────────────────────────────────────────────────────────────
 
-program.parse();
+// Surface any unclaimed Agent Mode notice once per command, after the primary
+// output. In JSON/agent mode the notice is folded into the envelope by
+// formatJsonEnvelope, so skip the stderr banner there to avoid duplication.
+function surfaceNotice(): void {
+	const notice = takeNotice();
+	if (notice && !isAgentMode()) {
+		process.stderr.write(`\n\x1b[33m🔔 ${notice}\x1b[0m\n\n`);
+	}
+}
+
+program.parseAsync().finally(() => {
+	surfaceNotice();
+});

cli/node/src/output.ts

@@ -5,6 +5,7 @@
 import boxen from "boxen";
 import Table from "cli-table3";
 import { colors, sym } from "./branding.js";
+import { takeNotice } from "./state.js";
 
 const { brand, accent, success, error: errorColor, dim } = colors;
 
@@ -244,6 +245,15 @@ export function formatJsonEnvelope(opts: {
 	if (opts.count !== undefined) envelope.count = opts.count;
 	if (opts.error) envelope.error = opts.error;
 	envelope.data = opts.data;
+
+	// If the platform flagged this as an unclaimed Agent Mode account, surface
+	// the notice inside the JSON envelope so an agent consuming the output
+	// sees it without needing to inspect HTTP headers.
+	// eslint-disable-next-line @typescript-eslint/no-require-imports
+	const { takeNotice } = require("./state.js");
+	const notice = takeNotice();
+	if (notice) envelope.mem0_notice = notice;
+
 	console.log(JSON.stringify(envelope, null, 2));
 }
 
@@ -356,6 +366,12 @@ export function formatAgentEnvelope(opts: {
 	}
 	if (opts.count !== undefined) envelope.count = opts.count;
 	envelope.data = sanitizeAgentData(opts.command, opts.data);
+
+	// Surface the unclaimed-Agent-Mode notice (if any) in the envelope so an
+	// agent reading the JSON output sees it without inspecting HTTP headers.
+	const notice = takeNotice();
+	if (notice) envelope.mem0_notice = notice;
+
 	console.log(JSON.stringify(envelope, null, 2));
 }
 

cli/node/src/plugin-sync.ts

@@ -0,0 +1,120 @@
+/**
+ * Sync the active Mem0 API key into other ecosystem touchpoints.
+ *
+ * Why: the CLI canonical state is ~/.mem0/config.json. MCP servers
+ * (Claude Code plugin, Codex plugin) read MEM0_API_KEY from env or
+ * their own config files. Without a sync, agent-mode bootstrap mints a
+ * new key into config.json but the plugin's MCP keeps using the old
+ * key from env — silent surprise.
+ *
+ * Design:
+ *  - Update ONLY entries that already exist; never create new ones
+ *  - Preserve surrounding content, formatting, other keys
+ *  - Atomic writes (tmp + rename) so a crash mid-write doesn't corrupt
+ *  - Idempotent — re-running with the same key is a no-op
+ *
+ * Targets:
+ *  - ~/.claude/settings.json::env::MEM0_API_KEY (Claude Code env injection)
+ *  - ~/.zshrc / ~/.bashrc `export MEM0_API_KEY="..."` lines
+ *
+ * Out of scope: Codex / Cursor MCP configs and the plugin's own
+ * <plugin-dir>/.api_key file (plugin-managed, different schema).
+ */
+
+import fs from "node:fs";
+import os from "node:os";
+import path from "node:path";
+
+const CLAUDE_SETTINGS = path.join(os.homedir(), ".claude", "settings.json");
+const SHELL_RCS = [
+	path.join(os.homedir(), ".zshrc"),
+	path.join(os.homedir(), ".bashrc"),
+	path.join(os.homedir(), ".bash_profile"),
+];
+
+// Use [ \t]* (not \s*) so a trailing newline at end-of-file is preserved
+// when the MEM0_API_KEY export is the last line of the rc file.
+const RC_LINE_RE =
+	/^([ \t]*export[ \t]+MEM0_API_KEY[ \t]*=[ \t]*)(["']?)([^"'\n]*)(["']?)[ \t]*$/m;
+
+export function syncApiKey(apiKey: string): string[] {
+	if (!apiKey) return [];
+	const updated: string[] = [];
+	if (updateClaudeSettings(CLAUDE_SETTINGS, apiKey)) {
+		updated.push(CLAUDE_SETTINGS);
+	}
+	for (const rc of SHELL_RCS) {
+		if (updateShellRc(rc, apiKey)) updated.push(rc);
+	}
+	return updated;
+}
+
+/** @internal — exported for unit tests; consumers should use {@link syncApiKey}. */
+export function updateClaudeSettings(
+	filePath: string,
+	apiKey: string,
+): boolean {
+	if (!fs.existsSync(filePath)) return false;
+	let raw: string;
+	let data: Record<string, unknown>;
+	try {
+		raw = fs.readFileSync(filePath, "utf-8");
+		data = JSON.parse(raw);
+	} catch {
+		return false;
+	}
+	const env = data.env;
+	if (!env || typeof env !== "object" || !("MEM0_API_KEY" in env)) {
+		return false; // no existing entry — don't create one
+	}
+	const envObj = env as Record<string, string>;
+	if (envObj.MEM0_API_KEY === apiKey) return false; // already in sync
+	envObj.MEM0_API_KEY = apiKey;
+	atomicWriteText(filePath, `${JSON.stringify(data, null, 2)}\n`);
+	return true;
+}
+
+/** @internal — exported for unit tests; consumers should use {@link syncApiKey}. */
+export function updateShellRc(filePath: string, apiKey: string): boolean {
+	if (!fs.existsSync(filePath)) return false;
+	let text: string;
+	try {
+		text = fs.readFileSync(filePath, "utf-8");
+	} catch {
+		return false;
+	}
+	const match = text.match(RC_LINE_RE);
+	if (!match) return false; // no existing line
+	if (match[3] === apiKey) return false;
+	const newText = text.replace(
+		RC_LINE_RE,
+		(_full, prefix) => `${prefix}"${apiKey}"`,
+	);
+	atomicWriteText(filePath, newText);
+	return true;
+}
+
+function atomicWriteText(filePath: string, content: string): void {
+	const dir = path.dirname(filePath);
+	const tmp = path.join(dir, `.${path.basename(filePath)}.${process.pid}.tmp`);
+	try {
+		fs.writeFileSync(tmp, content, "utf-8");
+		// Preserve permissions if original existed.
+		if (fs.existsSync(filePath)) {
+			try {
+				const mode = fs.statSync(filePath).mode & 0o777;
+				fs.chmodSync(tmp, mode);
+			} catch {
+				/* best-effort */
+			}
+		}
+		fs.renameSync(tmp, filePath);
+	} catch (err) {
+		try {
+			fs.unlinkSync(tmp);
+		} catch {
+			/* ignore */
+		}
+		throw err;
+	}
+}

cli/node/src/state.ts

@@ -5,6 +5,7 @@
 
 let _agentMode = false;
 let _currentCommand = "";
+let _pendingNotice = "";
 
 export function isAgentMode(): boolean {
 	return _agentMode;
@@ -21,3 +22,19 @@ export function getCurrentCommand(): string {
 export function setCurrentCommand(name: string): void {
 	_currentCommand = name;
 }
+
+/**
+ * Stash a Mem0 backend notice (Agent Mode unclaimed reminder) for end-of-
+ * command surfacing. Called from the platform backend after each response so
+ * the notice prints once per command regardless of how many sub-requests
+ * fired. Last-write-wins is fine — the message text is identical.
+ */
+export function captureNotice(notice: string | null | undefined): void {
+	if (notice) _pendingNotice = notice;
+}
+
+export function takeNotice(): string {
+	const msg = _pendingNotice;
+	_pendingNotice = "";
+	return msg;
+}

cli/node/src/telemetry.ts

@@ -115,6 +115,9 @@ export function captureEvent(
 			}
 		}
 
+		// M4: every cli.* event carries agent_mode based on the config flag
+		// (unclaimed Agent Mode key). This is the growth-doc property used to
+		// join init → add → search funnels in PostHog.
 		const payload = {
 			api_key: POSTHOG_API_KEY,
 			distinct_id: distinctId,
@@ -123,6 +126,7 @@ export function captureEvent(
 				source: "CLI",
 				language: "node",
 				cli_version: CLI_VERSION,
+				agent_mode: Boolean(config.platform.agentMode),
 				node_version: process.version,
 				os: process.platform,
 				...properties,

cli/node/tests/agent-mode.test.ts

@@ -0,0 +1,141 @@
+/**
+ * Parity tests for `mem0 init --agent` (Agent Mode bootstrap).
+ *
+ * Mirror of `cli/python/tests/test_agent_mode.py` — both files MUST stay
+ * in sync so that the Python and Node CLIs expose an identical surface
+ * for the Agent Mode entrypoint. If you add a flag here, add the same
+ * assertion on the Python side (and vice versa).
+ *
+ * Network-bound bootstrap is covered by the platform-side E2E suite
+ * (`backend/tests/e2e/test_05_agent_mode.py`); these tests only verify
+ * the CLI surface that ships in the binary.
+ */
+
+import { describe, it, expect } from "vitest";
+import { execSync } from "node:child_process";
+import fs from "node:fs";
+import os from "node:os";
+import path from "node:path";
+
+function run(
+  args: string[],
+  opts: { home?: string; env?: Record<string, string> } = {},
+): { stdout: string; stderr: string; exitCode: number } {
+  const env = { ...process.env };
+  for (const key of Object.keys(env)) {
+    if (key.startsWith("MEM0_")) delete env[key];
+  }
+  if (opts.home) env.HOME = opts.home;
+  if (opts.env) Object.assign(env, opts.env);
+
+  try {
+    const stdout = execSync(`npx tsx src/index.ts ${args.join(" ")}`, {
+      cwd: path.join(__dirname, ".."),
+      env,
+      encoding: "utf-8",
+      timeout: 15000,
+    });
+    return { stdout, stderr: "", exitCode: 0 };
+  } catch (e: any) {
+    return {
+      stdout: e.stdout ?? "",
+      stderr: e.stderr ?? "",
+      exitCode: e.status ?? 1,
+    };
+  }
+}
+
+function cleanHome(): string {
+  return fs.mkdtempSync(path.join(os.tmpdir(), "mem0-test-"));
+}
+
+describe("init flag surface", () => {
+  it("init --help lists --agent", () => {
+    const result = run(["init", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("--agent");
+  });
+
+  it("init --help describes Agent Mode", () => {
+    const result = run(["init", "--help"]);
+    expect(result.exitCode).toBe(0);
+    // Description must mention what --agent actually does so an agent
+    // reading the help can self-discover the bootstrap entrypoint.
+    expect(
+      result.stdout.includes("Agent Mode") ||
+        result.stdout.toLowerCase().includes("unattended"),
+    ).toBe(true);
+  });
+
+  it("init --help lists --source", () => {
+    const result = run(["init", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("--source");
+  });
+
+  it("init --help lists --email and --code", () => {
+    const result = run(["init", "--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("--email");
+    expect(result.stdout).toContain("--code");
+  });
+});
+
+describe("argv preprocessing — --agent reaches init subcommand", () => {
+  // Regression for the bug where the global --agent JSON-alias swallowed
+  // the init-level --agent flag, making `mem0 init --agent` behave like
+  // the plain interactive wizard.
+
+  it("init --agent triggers bootstrap branch (not the wizard)", () => {
+    const home = cleanHome();
+    const result = run(["init", "--agent"], {
+      home,
+      env: {
+        MEM0_BASE_URL: "http://127.0.0.1:1", // blackhole
+        FORCE_COLOR: "0",
+      },
+    });
+    const combined = (result.stdout + result.stderr).toLowerCase();
+    // Either bootstrap-attempt error, or a connection/network error —
+    // both prove the --agent path executed (the wizard would prompt for
+    // input and succeed/hang, not surface a network error).
+    expect(
+      combined.includes("agent") ||
+        combined.includes("connect") ||
+        combined.includes("network") ||
+        combined.includes("fetch") ||
+        combined.includes("bootstrap"),
+    ).toBe(true);
+    fs.rmSync(home, { recursive: true, force: true });
+  });
+});
+
+describe("JSON envelope on network failure", () => {
+  it("init --agent --json does not leak a stack trace when backend is unreachable", () => {
+    const home = cleanHome();
+    const result = run(["init", "--agent", "--json"], {
+      home,
+      env: {
+        MEM0_BASE_URL: "http://127.0.0.1:1",
+        FORCE_COLOR: "0",
+      },
+    });
+    const combined = result.stdout + result.stderr;
+    // No raw Node stack should escape the agent-mode handler.
+    expect(combined).not.toMatch(/at \w+\s*\(.+\.ts:\d+/);
+    expect(combined).not.toContain("UnhandledPromiseRejection");
+    expect(result.exitCode).not.toBe(0);
+    fs.rmSync(home, { recursive: true, force: true });
+  });
+});
+
+describe("top-level help lists init", () => {
+  // `mem0 --help` must list `init` so agents walking the top-level help
+  // can discover the Agent Mode entrypoint without prior knowledge.
+
+  it("--help lists init", () => {
+    const result = run(["--help"]);
+    expect(result.exitCode).toBe(0);
+    expect(result.stdout).toContain("init");
+  });
+});

cli/node/tests/commands.test.ts

@@ -3,6 +3,7 @@
  */
 
 import { describe, it, expect, vi, beforeEach } from "vitest";
+import { Command } from "commander";
 import { createMockBackend } from "./setup.js";
 import type { Backend } from "../src/backend/base.js";
 import { setAgentMode } from "../src/state.js";
@@ -41,8 +42,6 @@ describe("cmdAdd", () => {
     await cmdAdd(mockBackend, "I prefer dark mode", {
       userId: "alice",
       immutable: false,
-      noInfer: false,
-
       output: "text",
     });
     expect(mockBackend.add).toHaveBeenCalledOnce();
@@ -54,8 +53,6 @@ describe("cmdAdd", () => {
       userId: "alice",
       messages: JSON.stringify([{ role: "user", content: "I love Python" }]),
       immutable: false,
-      noInfer: false,
-
       output: "text",
     });
     expect(mockBackend.add).toHaveBeenCalledOnce();
@@ -66,8 +63,6 @@ describe("cmdAdd", () => {
     await cmdAdd(mockBackend, "test", {
       userId: "alice",
       immutable: false,
-      noInfer: false,
-
       output: "json",
     });
     expect(output).toContain("results");
@@ -78,14 +73,59 @@ describe("cmdAdd", () => {
     await cmdAdd(mockBackend, "test", {
       userId: "alice",
       immutable: false,
-      noInfer: false,
-
       output: "quiet",
     });
     expect(output).not.toContain("dark mode");
   });
 });
 
+describe("cmdAdd forwards --no-infer (regression for #5261)", () => {
+  it("forwards infer: false when --no-infer is set", async () => {
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    // `infer: false` is the shape Commander produces for `--no-infer`.
+    await cmdAdd(mockBackend, "store me verbatim", {
+      userId: "alice",
+      immutable: false,
+      infer: false,
+      output: "text",
+    });
+    expect(mockBackend.add).toHaveBeenCalledWith(
+      "store me verbatim",
+      undefined,
+      expect.objectContaining({ infer: false }),
+    );
+  });
+
+  it("forwards infer: true by default (flag absent)", async () => {
+    const { cmdAdd } = await import("../src/commands/memory.js");
+    await cmdAdd(mockBackend, "infer me", {
+      userId: "alice",
+      immutable: false,
+      output: "text",
+    });
+    expect(mockBackend.add).toHaveBeenCalledWith(
+      "infer me",
+      undefined,
+      expect.objectContaining({ infer: true }),
+    );
+  });
+
+  it("Commander stores --no-infer as opts.infer, not opts.noInfer", () => {
+    // Pins the assumption the fix relies on: Commander's `--no-X` option
+    // populates the positive camelCase key (`infer`), never `noInfer`.
+    const withFlag = new Command();
+    withFlag.option("--no-infer", "Skip inference, store raw.").action(() => {});
+    withFlag.parse(["--no-infer"], { from: "user" });
+    expect(withFlag.opts().infer).toBe(false);
+    expect(withFlag.opts().noInfer).toBeUndefined();
+
+    const withoutFlag = new Command();
+    withoutFlag.option("--no-infer", "Skip inference, store raw.").action(() => {});
+    withoutFlag.parse([], { from: "user" });
+    expect(withoutFlag.opts().infer).toBe(true);
+  });
+});
+
 describe("cmdAdd deduplicates PENDING", () => {
   const DUPLICATE_PENDING = {
     results: [
@@ -100,8 +140,6 @@ describe("cmdAdd deduplicates PENDING", () => {
     await cmdAdd(mockBackend, "test", {
       userId: "alice",
       immutable: false,
-      noInfer: false,
-
       output: "text",
     });
     expect(output.match(/Queued/g)?.length).toBe(1);
@@ -113,8 +151,6 @@ describe("cmdAdd deduplicates PENDING", () => {
     await cmdAdd(mockBackend, "test", {
       userId: "alice",
       immutable: false,
-      noInfer: false,
-
       output: "json",
     });
     const data = JSON.parse(output);
@@ -129,8 +165,6 @@ describe("cmdAdd deduplicates PENDING", () => {
     await cmdAdd(mockBackend, "test", {
       userId: "alice",
       immutable: false,
-      noInfer: false,
-
       output: "agent",
     });
     const data = JSON.parse(output);
@@ -315,8 +349,6 @@ describe("agent mode", () => {
     await cmdAdd(mockBackend, "test preference", {
       userId: "alice",
       immutable: false,
-      noInfer: false,
-
       output: "agent",
     });
     const parsed = JSON.parse(output.trim());

cli/node/tests/init-internals.test.ts

@@ -0,0 +1,168 @@
+/**
+ * Unit tests for init internals — decision tree primitives + plugin sync.
+ *
+ * Mirror of `cli/python/tests/test_init_internals.py`. Both files MUST stay
+ * in sync — if you add a behavioral assertion here, mirror it on the Python
+ * side and vice versa.
+ *
+ *  - `pingKey` must NOT treat network errors as "invalid key" (else a VPN
+ *    flap silently mints a new shadow over a working key).
+ *  - `plugin_sync` must only update entries that already exist, preserve
+ *    trailing newlines, and never mangle other lines.
+ */
+
+import fs from "node:fs";
+import os from "node:os";
+import path from "node:path";
+import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
+import { pingKey } from "../src/commands/init.js";
+import { updateClaudeSettings, updateShellRc } from "../src/plugin-sync.js";
+
+// ── pingKey ──────────────────────────────────────────────────────────────
+
+describe("pingKey — network vs auth distinction", () => {
+	const origFetch = globalThis.fetch;
+	afterEach(() => {
+		globalThis.fetch = origFetch;
+		vi.restoreAllMocks();
+	});
+
+	it("returns true for 200", async () => {
+		globalThis.fetch = vi.fn().mockResolvedValue({ status: 200 } as Response);
+		await expect(pingKey("k", "http://x")).resolves.toBe(true);
+	});
+
+	it("returns false for 401 (definitively invalid)", async () => {
+		globalThis.fetch = vi.fn().mockResolvedValue({ status: 401 } as Response);
+		await expect(pingKey("k", "http://x")).resolves.toBe(false);
+	});
+
+	it("returns false for 403 (definitively invalid)", async () => {
+		globalThis.fetch = vi.fn().mockResolvedValue({ status: 403 } as Response);
+		await expect(pingKey("k", "http://x")).resolves.toBe(false);
+	});
+
+	it("returns true for 5xx (transient upstream — prefer reuse)", async () => {
+		globalThis.fetch = vi.fn().mockResolvedValue({ status: 503 } as Response);
+		await expect(pingKey("k", "http://x")).resolves.toBe(true);
+	});
+
+	it("returns true on network error (prefer reuse over re-mint)", async () => {
+		globalThis.fetch = vi.fn().mockRejectedValue(new Error("ECONNREFUSED"));
+		await expect(pingKey("k", "http://x")).resolves.toBe(true);
+	});
+
+	it("returns true on timeout (prefer reuse)", async () => {
+		globalThis.fetch = vi.fn().mockRejectedValue(new Error("aborted"));
+		await expect(pingKey("k", "http://x")).resolves.toBe(true);
+	});
+});
+
+// ── updateShellRc ────────────────────────────────────────────────────────
+
+describe("updateShellRc — exists-only contract", () => {
+	let tmpDir: string;
+
+	beforeEach(() => {
+		tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), "mem0-test-"));
+	});
+	afterEach(() => {
+		fs.rmSync(tmpDir, { recursive: true, force: true });
+	});
+
+	it("updates existing export and preserves trailing newline", () => {
+		const rc = path.join(tmpDir, ".zshrc");
+		fs.writeFileSync(rc, 'export MEM0_API_KEY="old"\n');
+		expect(updateShellRc(rc, "newkey")).toBe(true);
+		expect(fs.readFileSync(rc, "utf-8")).toBe('export MEM0_API_KEY="newkey"\n');
+	});
+
+	it("does NOT create a new export when none exists", () => {
+		const rc = path.join(tmpDir, ".zshrc");
+		fs.writeFileSync(rc, "alias ll='ls -la'\n");
+		expect(updateShellRc(rc, "newkey")).toBe(false);
+		expect(fs.readFileSync(rc, "utf-8")).toBe("alias ll='ls -la'\n");
+	});
+
+	it("preserves surrounding content", () => {
+		const rc = path.join(tmpDir, ".zshrc");
+		const original =
+			"# my zshrc\n" +
+			"alias ll='ls -la'\n" +
+			"export MEM0_API_KEY='old'\n" +
+			"export OTHER=keepme\n";
+		fs.writeFileSync(rc, original);
+		updateShellRc(rc, "newkey");
+		const after = fs.readFileSync(rc, "utf-8");
+		expect(after).toContain("alias ll='ls -la'\n");
+		expect(after).toContain("export OTHER=keepme\n");
+		expect(after).toContain("# my zshrc\n");
+		expect(after).toContain('export MEM0_API_KEY="newkey"\n');
+	});
+
+	it("is idempotent when value already matches", () => {
+		const rc = path.join(tmpDir, ".zshrc");
+		fs.writeFileSync(rc, 'export MEM0_API_KEY="same"\n');
+		expect(updateShellRc(rc, "same")).toBe(false);
+	});
+
+	it("is a no-op for missing files", () => {
+		const rc = path.join(tmpDir, ".zshrc"); // does not exist
+		expect(updateShellRc(rc, "x")).toBe(false);
+	});
+});
+
+// ── updateClaudeSettings ─────────────────────────────────────────────────
+
+describe("updateClaudeSettings — never creates entries", () => {
+	let tmpDir: string;
+
+	beforeEach(() => {
+		tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), "mem0-test-"));
+	});
+	afterEach(() => {
+		fs.rmSync(tmpDir, { recursive: true, force: true });
+	});
+
+	it("does not create env block when none exists", () => {
+		const settings = path.join(tmpDir, "settings.json");
+		fs.writeFileSync(settings, JSON.stringify({ otherKey: 1 }));
+		expect(updateClaudeSettings(settings, "newkey")).toBe(false);
+		expect(JSON.parse(fs.readFileSync(settings, "utf-8"))).toEqual({
+			otherKey: 1,
+		});
+	});
+
+	it("does not create MEM0_API_KEY entry in existing env block", () => {
+		const settings = path.join(tmpDir, "settings.json");
+		fs.writeFileSync(settings, JSON.stringify({ env: { OTHER_KEY: "x" } }));
+		expect(updateClaudeSettings(settings, "newkey")).toBe(false);
+	});
+
+	it("updates existing entry and preserves siblings", () => {
+		const settings = path.join(tmpDir, "settings.json");
+		fs.writeFileSync(
+			settings,
+			JSON.stringify({ env: { MEM0_API_KEY: "old", OTHER: "y" } }, null, 2),
+		);
+		expect(updateClaudeSettings(settings, "fresh")).toBe(true);
+		const data = JSON.parse(fs.readFileSync(settings, "utf-8"));
+		expect(data.env.MEM0_API_KEY).toBe("fresh");
+		expect(data.env.OTHER).toBe("y");
+	});
+
+	it("is idempotent when value already matches", () => {
+		const settings = path.join(tmpDir, "settings.json");
+		fs.writeFileSync(
+			settings,
+			JSON.stringify({ env: { MEM0_API_KEY: "same" } }),
+		);
+		expect(updateClaudeSettings(settings, "same")).toBe(false);
+	});
+
+	it("is a no-op for malformed JSON", () => {
+		const settings = path.join(tmpDir, "settings.json");
+		fs.writeFileSync(settings, "{ this is not json");
+		expect(updateClaudeSettings(settings, "x")).toBe(false);
+	});
+});

cli/node/vitest.config.ts

@@ -8,4 +8,10 @@ export default defineConfig({
 	define: {
 		__CLI_VERSION__: JSON.stringify(pkg.version),
 	},
+	test: {
+		// Integration tests spawn the CLI via `npx tsx` (15s subprocess
+		// timeout); the first spawn in a file pays a cold-start cost that can
+		// exceed vitest's 5s default on CI runners.
+		testTimeout: 30_000,
+	},
 });

cli/python/CHANGELOG.md

@@ -0,0 +1,36 @@
+# Changelog
+
+All notable changes to `mem0-cli` (Python) are documented here.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [0.2.7] — 2026-05-20
+
+### Added
+
+- `mem0 whoami` — print the active agent's `default_user_id` (the AGENTRUSH
+  leaderboard identifier). Reads from local config, no network call.
+- `mem0 agent-rush <add | search>` — subcommand group that wraps the new
+  `/v1/agent-rush/` platform endpoints for the 7-day AGENTRUSH game. Project
+  routing is implicit (resolved server-side); no flags exposed. Pretty-prints
+  platform error codes into actionable hints (e.g. `agentrush_search_first`
+  → "Run 3 'mem0 agent-rush search' commands before adding.").
+- PII safety prompt on first `mem0 agent-rush add`. Interactive runs require
+  explicit `y` to acknowledge that AGENTRUSH memories are public; the
+  acknowledgement is persisted in `~/.mem0/config.json` under
+  `agent_rush.acknowledged_at` so the prompt only appears once per machine.
+  Non-interactive (agent) invocations surface the warning to stderr without
+  blocking.
+- New config schema field: `agent_rush.acknowledged_at` (ISO timestamp,
+  empty until first interactive acknowledgement).
+
+### Changed
+
+- HTTP requests from the new agent-rush commands send `X-Mem0-Mode: agent-rush`
+  in addition to the existing source headers, so platform telemetry can split
+  game traffic from regular CLI usage.
+
+## [0.2.6] and earlier
+
+Unlogged historical releases. See git history under `cli/python/`.

cli/python/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "mem0-cli"
-version = "0.2.4"
+version = "0.2.7"
 description = "The official CLI for mem0 — the memory layer for AI agents"
 readme = "README.md"
 license = "Apache-2.0"

cli/python/src/mem0_cli/agent_detect.py

@@ -0,0 +1,36 @@
+"""Detect whether the CLI is being invoked from inside an AI-agent context.
+
+Used by `mem0 init` to auto-enter Agent Mode (Rule 3 bootstrap) when an
+agent runtime env var is present. The return value is a context **trigger
+only** — the canonical agent identity is self-declared by the agent via
+``--agent-caller <name>`` (Proof Editor-style) and never sniffed from env
+vars to fill the ``agent_caller`` field on the APIKey row.
+
+Returns a short name or None. The list is curated, not exhaustive — env
+vars we don't recognise fall through to None (caller treated as
+non-agent). Honest reporting depends on ``--agent-caller``; this list is
+just enough to enable the zero-friction auto-bootstrap UX.
+"""
+
+from __future__ import annotations
+
+import os
+
+_AGENT_CALLER_ENV: tuple[tuple[str, tuple[str, ...]], ...] = (
+    ("claude-code", ("CLAUDECODE", "CLAUDE_CODE")),
+    ("cursor", ("CURSOR_AGENT", "CURSOR_SESSION_ID")),
+    ("codex", ("CODEX_CLI", "OPENAI_CODEX")),
+    ("cline", ("CLINE_AGENT", "CLINE")),
+    ("continue", ("CONTINUE_AGENT", "CONTINUE_SESSION")),
+    ("aider", ("AIDER_SESSION",)),
+    ("goose", ("GOOSE_AGENT",)),
+    ("windsurf", ("WINDSURF_AGENT",)),
+)
+
+
+def detect_agent_caller() -> str | None:
+    """Return a canonical agent name if any agent env var is set, else None."""
+    for name, env_vars in _AGENT_CALLER_ENV:
+        if any(os.environ.get(v) for v in env_vars):
+            return name
+    return None

cli/python/src/mem0_cli/app.py

@@ -237,6 +237,14 @@ def main_callback(
         cmd_version()
         raise typer.Exit()
     if ctx.invoked_subcommand:
+        # Stash the active subcommand name so the JSON error envelope
+        # (print_error in agent mode) can report which command failed
+        # instead of an empty `"command": ""` field.
+        from mem0_cli.state import set_current_command
+
+        set_current_command(ctx.invoked_subcommand)
+    if ctx.invoked_subcommand and ctx.invoked_subcommand != "init":
+        # init fires its own telemetry from init_cmd.run_init with full M1-M6 props.
         _fire_telemetry(ctx.invoked_subcommand)
 
 
@@ -851,6 +859,19 @@ def init(
     force: bool = typer.Option(
         False, "--force", help="Overwrite existing config without confirmation."
     ),
+    agent_signal: bool = typer.Option(
+        False, "--agent", help="Bootstrap an unattended Agent Mode account (no email required)."
+    ),
+    source: str | None = typer.Option(
+        None,
+        "--source",
+        help="Channel attribution for signup (e.g. github, hn, ph).",
+    ),
+    agent_caller: str | None = typer.Option(
+        None,
+        "--agent-caller",
+        help="Self-declared agent identity (e.g. claude-code, cursor). Used with --agent to attribute Agent Mode signups.",
+    ),
 ) -> None:
     """Interactive setup wizard for mem0 CLI.
 
@@ -859,10 +880,97 @@ def init(
       mem0 init --api-key m0-xxx --user-id alice
       mem0 init --email alice@company.com
       mem0 init --email alice@company.com --code 482901
+      mem0 init --agent --agent-caller claude-code   # AI agent self-identifies on Agent Mode bootstrap
+      mem0 init --email alice@company.com  # Claims an existing Agent Mode key when one is present
     """
     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,
+        force=force,
+        source=source,
+        agent=agent_signal,
+        agent_caller=agent_caller,
+    )
+
+
+@app.command(rich_help_panel="Setup")
+def identify(
+    name: str = typer.Argument(..., help="Agent identity (e.g. claude-code, cursor, my-bot)."),
+) -> None:
+    """Tag your active Agent Mode key with the AI agent that's using it.
+
+    Run this once after `mem0 init --agent` if you didn't pass --agent-caller.
+    Idempotent — re-running just overwrites the value.
+
+    Example:
+      mem0 identify claude-code
+    """
+    from mem0_cli.commands.identify_cmd import run_identify
+
+    run_identify(name)
+
+
+@app.command(name="whoami", rich_help_panel="Setup")
+def whoami_cmd() -> None:
+    """Print your AGENTRUSH identifier (default_user_id).
+
+    Example:
+      mem0 whoami
+    """
+    from mem0_cli.commands.whoami_cmd import run_whoami
+
+    run_whoami()
+
+
+# ── AGENTRUSH sub-app ─────────────────────────────────────────────────────
+
+agent_rush_app = typer.Typer(
+    name="agent-rush",
+    help="AGENTRUSH game commands",
+    no_args_is_help=True,
+    rich_markup_mode="rich",
+)
+
+
+@agent_rush_app.callback(invoke_without_command=True)
+def _agent_rush_callback(ctx: typer.Context) -> None:
+    if ctx.invoked_subcommand:
+        _fire_telemetry(f"agent-rush.{ctx.invoked_subcommand}")
+
+
+@agent_rush_app.command(name="add")
+def agent_rush_add(
+    content: str = typer.Argument(..., help="Memory content (50-1000 characters, no URLs)."),
+) -> None:
+    """Submit a memory to AGENTRUSH.
+
+    Example:
+      mem0 agent-rush add "I enjoy solving constraint-satisfaction problems."
+    """
+    from mem0_cli.commands.agent_rush_cmd import run_agent_rush_add
+
+    run_agent_rush_add(content)
+
+
+@agent_rush_app.command(name="search")
+def agent_rush_search(
+    query: str = typer.Argument(..., help="Search query."),
+) -> None:
+    """Search AGENTRUSH memories.
+
+    Example:
+      mem0 agent-rush search "constraint satisfaction"
+    """
+    from mem0_cli.commands.agent_rush_cmd import run_agent_rush_search
+
+    run_agent_rush_search(query)
+
+
+app.add_typer(agent_rush_app, name="agent-rush", rich_help_panel="Setup")
 
 
 # (entity_app registered at module level, below sub-group definitions)
@@ -1198,11 +1306,28 @@ 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:]):
+    # Special case: `mem0 init --agent` is a subcommand flag (Agent Mode bootstrap)
+    # consumed by init_cmd, not a global JSON-output toggle — leave it in argv.
+    argv_rest = sys.argv[1:]
+    is_init = "init" in argv_rest
+    _global_flags = {"--json"} if is_init else {"--json", "--agent"}
+    if any(a in _global_flags for a in argv_rest):
         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]
+        sys.argv = [sys.argv[0]] + [a for a in argv_rest if a not in _global_flags]
 
-    app()
+    try:
+        app()
+    finally:
+        # Surface any unclaimed Agent Mode notice once per command, after the
+        # primary output. In JSON/agent mode the notice is folded into the
+        # envelope by format_json_envelope, so skip the stderr banner there
+        # to avoid duplicate output.
+        from mem0_cli.state import is_agent_mode, take_notice
+
+        notice = take_notice()
+        if notice and not is_agent_mode():
+            from rich.console import Console
+
+            Console(stderr=True).print(f"\n[yellow]🔔 {notice}[/yellow]\n")

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

@@ -30,7 +30,7 @@ class PlatformBackend(Backend):
         )
 
     def _request(self, method: str, path: str, **kwargs: Any) -> Any:
-        from mem0_cli.state import is_agent_mode
+        from mem0_cli.state import capture_notice, is_agent_mode
 
         self._client.headers["X-Mem0-Caller-Type"] = "agent" if is_agent_mode() else "user"
         resp = self._client.request(method, path, **kwargs)
@@ -48,7 +48,26 @@ class PlatformBackend(Backend):
         resp.raise_for_status()
         if resp.status_code == 204:
             return {}
-        return resp.json()
+        data = resp.json()
+
+        # Pull the unclaimed-Agent-Mode notice out of the body (or the header
+        # fallback for endpoints that return non-dict / non-dict-leading
+        # payloads) and stash it for end-of-command surfacing.
+        notice = None
+        if isinstance(data, dict) and "mem0_notice" in data:
+            notice = data.pop("mem0_notice")
+        elif (
+            isinstance(data, list)
+            and data
+            and isinstance(data[0], dict)
+            and "mem0_notice" in data[0]
+        ):
+            notice = data[0].pop("mem0_notice")
+        if notice is None:
+            notice = resp.headers.get("X-Mem0-Notice-Message") or None
+        capture_notice(notice)
+
+        return data
 
     def add(
         self,

cli/python/src/mem0_cli/branding.py

@@ -87,10 +87,12 @@ def print_error(console: Console, message: str, hint: str | None = None) -> None
         }
         print(_json.dumps(envelope))
         return
+    from rich.markup import escape
+
     sym = _sym("✗", "[error]")
-    console.print(f"[{ERROR_COLOR}]{sym} Error:[/] {message}")
+    console.print(f"[{ERROR_COLOR}]{sym} Error:[/] {escape(str(message))}")
     if hint:
-        console.print(f"  [{DIM_COLOR}]{hint}[/]")
+        console.print(f"  [{DIM_COLOR}]{escape(str(hint))}[/]")
 
 
 def print_warning(console: Console, message: str) -> None:

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

@@ -0,0 +1,239 @@
+"""Agent Mode commands — bootstrap (unattended signup) and claim (OTP-based human upgrade)."""
+
+from __future__ import annotations
+
+import json
+import sys
+from datetime import datetime, timezone
+from typing import Any
+
+import httpx
+import typer
+from rich.console import Console
+from rich.prompt import Prompt
+
+from mem0_cli.branding import (
+    BRAND_COLOR,
+    DIM_COLOR,
+    print_error,
+    print_success,
+)
+from mem0_cli.config import Mem0Config, save_config
+
+console = Console()
+err_console = Console(stderr=True)
+
+_SOURCE_HEADERS = {
+    "X-Mem0-Source": "cli",
+    "X-Mem0-Client-Language": "python",
+}
+
+
+def _validate_envelope(envelope: Any) -> None:
+    """Defend against partial/malformed backend responses.
+
+    A backend regression that returns ``{"api_key": null}`` would otherwise be
+    silently persisted, producing confusing downstream errors far from the
+    source. Fail fast with a clear message if the required fields are missing.
+    """
+    if not isinstance(envelope, dict):
+        print_error(err_console, "Bootstrap response was not a JSON object.")
+        raise typer.Exit(1)
+    for field in ("api_key", "default_user_id"):
+        value = envelope.get(field)
+        if not isinstance(value, str) or not value:
+            print_error(
+                err_console,
+                f"Bootstrap response missing required field {field!r} — please update the CLI.",
+            )
+            raise typer.Exit(1)
+
+
+def bootstrap_via_backend(
+    config: Mem0Config,
+    *,
+    source: str | None = None,
+    agent_caller: str | None = None,
+) -> None:
+    """POST /api/v1/auth/agent_mode/ and mutate config in place.
+
+    Args:
+        config: Mem0Config mutated in place with the new platform values.
+        source: ``--source`` flag passthrough (analytics tag, free-form).
+        agent_caller: Self-declared agent identity passed via ``--agent-caller``
+            (e.g. ``claude-code``, ``cursor``). May be None when the caller
+            omitted the flag; the agent can backfill later via
+            ``mem0 identify <name>``. Sent to the backend in the request body
+            and saved into ``platform.agent_caller`` for local introspection.
+
+    Raises typer.Exit(1) on failure.
+    """
+    base_url = (config.platform.base_url or "https://api.mem0.ai").rstrip("/")
+    body: dict[str, Any] = {}
+    if source:
+        body["source"] = source
+    if agent_caller:
+        body["agent_caller"] = agent_caller
+
+    try:
+        with httpx.Client(timeout=30.0) as client:
+            resp = client.post(
+                f"{base_url}/api/v1/auth/agent_mode/",
+                headers={**_SOURCE_HEADERS, "Content-Type": "application/json"},
+                json=body,
+            )
+    except httpx.HTTPError as exc:
+        print_error(err_console, f"Network error contacting Mem0: {exc}")
+        raise typer.Exit(1) from exc
+
+    if resp.status_code == 429:
+        print_error(err_console, "Rate-limited. Try again in a few minutes.")
+        raise typer.Exit(1)
+    if resp.status_code == 503:
+        print_error(err_console, "Agent Mode is temporarily disabled. Try again later.")
+        raise typer.Exit(1)
+    if resp.status_code != 200:
+        detail = resp.text
+        try:
+            err_body = resp.json()
+            detail = err_body.get("error") or err_body.get("detail") or resp.text
+        except (json.JSONDecodeError, ValueError, AttributeError):
+            pass
+        # Backend's @ratelimit decorator raises PermissionDenied, which DRF
+        # translates to a generic 403 "You do not have permission to perform
+        # this action." That's opaque — surface as the rate-limit it actually is.
+        if resp.status_code == 403 and "permission" in str(detail).lower():
+            print_error(
+                err_console,
+                "Daily Agent Mode signup limit reached for this network (5/day). Try again from a different IP or after midnight UTC.",
+            )
+            raise typer.Exit(1)
+        print_error(err_console, f"Bootstrap failed: {detail}")
+        raise typer.Exit(1)
+
+    envelope = resp.json()
+    _validate_envelope(envelope)
+    config.platform.api_key = envelope["api_key"]
+    config.platform.base_url = base_url
+    config.platform.agent_mode = True
+    config.platform.created_via = "agent_mode"
+    config.platform.agent_caller = agent_caller or ""
+    config.platform.claimed_at = ""
+    config.platform.default_user_id = envelope["default_user_id"]
+    # Adopt the slug-derived user_id as the default scope for memory ops.
+    config.defaults.user_id = envelope["default_user_id"]
+    save_config(config)
+
+    print_success(console, f"Agent Mode active. Default user_id: {envelope['default_user_id']}")
+    notice = envelope.get("mem0_notice")
+    if notice:
+        console.print(f"\n[yellow]🔔 {notice}[/yellow]\n")
+    else:
+        # Fallback if the backend hasn't deployed the unified notice yet.
+        claim_cmd = envelope.get("claim_command", "mem0 init --email <your-email>")
+        console.print(f"  [{DIM_COLOR}]To claim this account later: {claim_cmd}[/]")
+
+    if not agent_caller:
+        console.print(
+            f"  [{DIM_COLOR}]If you are an AI agent, identify yourself: "
+            f"`mem0 identify <your-name>` (e.g. claude-code, cursor).[/]"
+        )
+
+
+def claim_via_otp(config: Mem0Config, *, email: str, code: str | None = None) -> None:
+    """Claim an existing Agent Mode account via OTP — no browser, no polling.
+
+    Reuses the standard email-code flow (`/api/v1/auth/email_code/` then
+    `/.../verify/`) and adds the local agent-mode API key in the verify body
+    as `agent_mode_api_key`. Backend's `verify_email_code` runs the
+    upgrade-in-place transaction inline and returns claim result.
+
+    On success: flips `platform.agent_mode=false`, sets `claimed_at`, stamps
+    `user_email`. The api_key value itself never changes.
+    """
+    base_url = (config.platform.base_url or "https://api.mem0.ai").rstrip("/")
+    if not config.platform.api_key or not config.platform.agent_mode:
+        print_error(
+            err_console,
+            "This command requires an active Agent Mode config. Run `mem0 init` first.",
+        )
+        raise typer.Exit(1)
+
+    raw_key = config.platform.api_key
+
+    with httpx.Client(timeout=30.0) as client:
+        # Step 1: request OTP (unless --code provided)
+        if not code:
+            send = client.post(
+                f"{base_url}/api/v1/auth/email_code/",
+                headers={**_SOURCE_HEADERS, "Content-Type": "application/json"},
+                json={"email": email},
+            )
+            if send.status_code == 429:
+                print_error(err_console, "Too many attempts. Try again in a few minutes.")
+                raise typer.Exit(1)
+            if send.status_code != 200:
+                try:
+                    detail = send.json().get("error", send.text)
+                except Exception:
+                    detail = send.text
+                print_error(err_console, f"Failed to send code: {detail}")
+                raise typer.Exit(1)
+
+            print_success(console, f"Verification code sent to {email}. Check your inbox.")
+
+            if not sys.stdin.isatty():
+                print_error(
+                    err_console,
+                    "No --code provided and terminal is non-interactive.",
+                    hint=f"Re-run: mem0 init --email {email} --code <code>",
+                )
+                raise typer.Exit(1)
+
+            console.print()
+            code = Prompt.ask(f"  [{BRAND_COLOR}]Verification Code[/]")
+            if not code:
+                print_error(err_console, "Code is required.")
+                raise typer.Exit(1)
+
+        # Step 2: verify + claim in one shot
+        verify = client.post(
+            f"{base_url}/api/v1/auth/email_code/verify/",
+            headers={**_SOURCE_HEADERS, "Content-Type": "application/json"},
+            json={
+                "email": email,
+                "code": code.strip(),
+                "agent_mode_api_key": raw_key,
+            },
+        )
+
+    if verify.status_code != 200:
+        try:
+            err_body = verify.json()
+            detail = err_body.get("error", verify.text)
+            code_str = err_body.get("code", "")
+        except (json.JSONDecodeError, ValueError, AttributeError):
+            detail = verify.text
+            code_str = ""
+        print_error(err_console, f"Claim failed: {detail}")
+        if code_str == "email_already_claimed":
+            console.print(
+                f"  [{DIM_COLOR}]Tip: this email already has a Mem0 account. Sign in at app.mem0.ai with your existing credentials.[/]"
+            )
+        raise typer.Exit(1)
+
+    claim_body = verify.json()
+    if not claim_body.get("claimed"):
+        print_error(err_console, f"Unexpected verify response: {claim_body}")
+        raise typer.Exit(1)
+
+    config.platform.agent_mode = False
+    config.platform.claimed_at = claim_body.get("claimed_at") or _utcnow_iso()
+    config.platform.user_email = email
+    config.platform.created_via = "email"
+    save_config(config)
+    print_success(console, f"Agent claimed to {email}. Your API key is unchanged.")
+
+
+def _utcnow_iso() -> str:
+    return datetime.now(timezone.utc).isoformat()

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

@@ -0,0 +1,132 @@
+"""mem0 agent-rush — AGENTRUSH game commands.
+
+Wraps the platform's /v1/agent-rush/{memories/, memories/search/} endpoints.
+Hardcoded routing; no flags needed.
+"""
+
+from __future__ import annotations
+
+import sys
+from datetime import datetime, timezone
+
+import httpx
+import typer
+from rich.console import Console
+
+from mem0_cli.branding import print_error, print_success
+from mem0_cli.config import load_config, save_config
+
+console = Console()
+err_console = Console(stderr=True)
+
+_PII_WARNING_LINES = (
+    "",
+    "[yellow]⚠️  AGENTRUSH memories are PUBLIC — visible to any other player.[/yellow]",
+    "[yellow]   Do not include real names, emails, secrets, work content, or PII.[/yellow]",
+    "",
+)
+
+_SOURCE_HEADERS = {
+    "X-Mem0-Source": "cli",
+    "X-Mem0-Client-Language": "python",
+    "X-Mem0-Mode": "agent-rush",
+}
+
+_ERROR_HINTS = {
+    "agentrush_search_first": "Run 3 'mem0 agent-rush search' commands before adding.",
+    "agentrush_search_quota": "You've used your 3 lifetime searches.",
+    "agentrush_add_quota": "You've used your 3 lifetime adds.",
+    "agentrush_not_agent_mode": "Re-run 'mem0 init --agent' to bootstrap an agent-mode key.",
+    "agentrush_length": "Memory text must be 50-1000 characters.",
+    "agentrush_no_urls": "URLs are not allowed.",
+    "agentrush_blocklist": "Content contains a blocked term.",
+    "agentrush_global_quota": "Event-wide cap reached. Try again later.",
+    "agentrush_not_provisioned": "AGENTRUSH is not provisioned in this environment.",
+}
+
+
+def _call(path: str, body: dict) -> dict:
+    config = load_config()
+    if not config.platform.api_key:
+        print_error(err_console, "Not initialized. Run `mem0 init --agent` first.")
+        raise typer.Exit(1)
+    base_url = (config.platform.base_url or "https://api.mem0.ai").rstrip("/")
+    try:
+        with httpx.Client(timeout=30.0) as client:
+            resp = client.post(
+                f"{base_url}{path}",
+                headers={
+                    **_SOURCE_HEADERS,
+                    "Authorization": f"Token {config.platform.api_key}",
+                    "Content-Type": "application/json",
+                },
+                json=body,
+            )
+    except httpx.HTTPError as exc:
+        print_error(err_console, f"Network error: {exc}")
+        raise typer.Exit(1) from exc
+    try:
+        data = resp.json()
+    except Exception:
+        data = {}
+    if resp.status_code >= 400:
+        code = (
+            (data.get("error") or {}).get("code", "unknown")
+            if isinstance(data, dict)
+            else "unknown"
+        )
+        print_error(err_console, f"AGENTRUSH error: {code}")
+        hint = _ERROR_HINTS.get(code)
+        if hint:
+            console.print(f"  [dim]{hint}[/dim]")
+        raise typer.Exit(1)
+    return data
+
+
+def _ensure_warning_acknowledged() -> None:
+    """Block the first interactive add on the PII warning; pass-through for agents.
+
+    Interactive (TTY): show prompt, require explicit 'y', persist
+    `agent_rush.acknowledged_at` so we never ask the same machine twice.
+
+    Non-interactive (no TTY — typical when an agent runs the CLI): surface
+    the warning to stderr for the human reading the agent transcript and
+    proceed without prompting (agents can't answer y/N).
+    """
+    config = load_config()
+    if config.agent_rush.acknowledged_at:
+        return
+
+    is_tty = sys.stdin.isatty() and sys.stdout.isatty()
+    if not is_tty:
+        for line in _PII_WARNING_LINES:
+            err_console.print(line)
+        return
+
+    for line in _PII_WARNING_LINES:
+        console.print(line)
+    answer = typer.prompt("   Continue? [y/N]", default="N", show_default=False).strip().lower()
+    if answer not in ("y", "yes"):
+        print_error(err_console, "Aborted.")
+        raise typer.Exit(1)
+
+    config.agent_rush.acknowledged_at = datetime.now(timezone.utc).isoformat()
+    save_config(config)
+
+
+def run_agent_rush_add(content: str) -> None:
+    _ensure_warning_acknowledged()
+    result = _call("/v1/agent-rush/memories/", {"content": content})
+    event_id = result.get("event_id", "?")
+    print_success(console, f"Memory submitted (event_id: {event_id})")
+
+
+def run_agent_rush_search(query: str) -> None:
+    result = _call("/v1/agent-rush/memories/search/", {"query": query})
+    memories = result.get("results") or result.get("memories") or []
+    if not memories:
+        console.print("[dim](no results)[/dim]")
+        return
+    for i, m in enumerate(memories[:5], start=1):
+        text = m.get("memory") if isinstance(m, dict) else str(m)
+        console.print(f"  {i}. {text}")

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

@@ -0,0 +1,75 @@
+"""mem0 identify — declare which agent owns the current agent-mode key.
+
+Used when `mem0 init --agent` ran without --agent-caller, so the backend
+saved agent_caller=NULL. The agent re-runs `mem0 identify <name>` to PATCH
+its own row with its real identity. Idempotent — running it again just
+overwrites.
+"""
+
+from __future__ import annotations
+
+import httpx
+import typer
+from rich.console import Console
+
+from mem0_cli.branding import print_error, print_success
+from mem0_cli.config import load_config, save_config
+
+console = Console()
+err_console = Console(stderr=True)
+
+_SOURCE_HEADERS = {
+    "X-Mem0-Source": "cli",
+    "X-Mem0-Client-Language": "python",
+}
+
+
+def run_identify(name: str) -> None:
+    """PATCH the active agent-mode key's agent_caller field."""
+    config = load_config()
+    if not config.platform.api_key:
+        print_error(
+            err_console,
+            "No API key configured. Run `mem0 init --agent` first.",
+        )
+        raise typer.Exit(1)
+    if not config.platform.agent_mode:
+        print_error(
+            err_console,
+            "This command only works on unclaimed agent-mode keys.",
+        )
+        raise typer.Exit(1)
+
+    name = (name or "").strip()
+    if not name:
+        print_error(err_console, "Agent name is required.")
+        raise typer.Exit(1)
+
+    base_url = (config.platform.base_url or "https://api.mem0.ai").rstrip("/")
+    try:
+        with httpx.Client(timeout=30.0) as client:
+            resp = client.patch(
+                f"{base_url}/api/v1/auth/agent_mode/caller/",
+                headers={
+                    **_SOURCE_HEADERS,
+                    "Authorization": f"Token {config.platform.api_key}",
+                    "Content-Type": "application/json",
+                },
+                json={"agent_caller": name},
+            )
+    except httpx.HTTPError as exc:
+        print_error(err_console, f"Network error: {exc}")
+        raise typer.Exit(1) from exc
+
+    if resp.status_code != 200:
+        try:
+            detail = resp.json().get("error", resp.text)
+        except Exception:
+            detail = resp.text
+        print_error(err_console, f"Identify failed: {detail}")
+        raise typer.Exit(1)
+
+    canonical = resp.json().get("agent_caller", name)
+    config.platform.agent_caller = canonical
+    save_config(config)
+    print_success(console, f"Identified as {canonical}.")

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

@@ -103,6 +103,25 @@ def _validate_email(email: str) -> None:
         raise typer.Exit(1)
 
 
+def _ping_key(api_key: str, base_url: str, timeout: float = 5.0) -> bool:
+    """Validate api_key against /v1/ping/.
+
+    Returns False ONLY on a definitive "invalid key" signal (HTTP 401 / 403).
+    Network errors, timeouts, and 5xx responses return True so we prefer
+    reusing an existing key over silently minting a new shadow on a transient
+    blip (which would also clobber config + plugin-sync targets).
+    """
+    try:
+        resp = httpx.get(
+            f"{base_url.rstrip('/')}/v1/ping/",
+            headers={"Authorization": f"Token {api_key}"},
+            timeout=timeout,
+        )
+    except httpx.HTTPError:
+        return True  # unknown — prefer reuse
+    return resp.status_code not in (401, 403)
+
+
 def _email_login(
     email: str,
     code: str | None,
@@ -182,21 +201,143 @@ def run_init(
     email: str | None = None,
     code: str | None = None,
     force: bool = False,
+    source: str | None = None,
+    agent: bool = False,
+    agent_caller: str | None = None,
 ) -> None:
     """Interactive setup wizard for mem0 CLI.
 
     When both *api_key* and *user_id* are supplied, all prompts are skipped
     (non-interactive mode).  When running in a non-TTY without the required
     flags, an error message is printed.
+
+    Agent Mode dispatch (no email/api-key flags):
+      - If existing config has an active API key → reuse (existing_key path).
+      - Else if any positive agent signal (--agent, --json global, agent env
+        var, or `agent` flag) → POST /api/v1/auth/agent_mode/ and write config.
+      - Else fall through to the interactive wizard.
+
+    Claim dispatch:
+      - If `--email` is set AND existing config has `agent_mode=true`, run the
+        claim device-flow against the existing key instead of minting a new
+        email-based key.
     """
+    from mem0_cli.agent_detect import detect_agent_caller
+    from mem0_cli.commands.agent_mode_cmd import bootstrap_via_backend, claim_via_otp
+    from mem0_cli.state import is_agent_mode as _global_agent_mode
+    from mem0_cli.telemetry import capture_event
+
+    def _fire_init(mode: str, *, claimed: bool = False) -> None:
+        """Fire cli.init telemetry with M1-M6 properties."""
+        props: dict = {"command": "init", "mode": mode}
+        if agent_caller:
+            # Self-declared via --agent-caller; not sniffed from env vars.
+            props["agent_caller"] = agent_caller
+        if source:
+            props["signup_source"] = source
+        if claimed:
+            props["claimed_agent_mode"] = True
+        capture_event("cli.init", props)
+
     config = Mem0Config()
 
     base_url = os.environ.get("MEM0_BASE_URL", config.platform.base_url or DEFAULT_BASE_URL)
+    config.platform.base_url = base_url
 
     if code and not email:
         print_error(err_console, "--code requires --email.")
         raise typer.Exit(1)
 
+    # ── Email + existing agent-mode config → claim flow ─────────────────
+    if email and CONFIG_FILE.exists():
+        existing = load_config()
+        if existing.platform.agent_mode and existing.platform.api_key:
+            email = email.strip().lower()
+            _validate_email(email)
+            print_info(console, f"Claiming Agent Mode account to {email}...")
+            claim_via_otp(existing, email=email, code=code)
+            _fire_init("email", claimed=True)
+            return
+
+    # ── Agent Mode path runs BEFORE the existing-config guard ──────────
+    # Rules 1/2 REUSE a valid existing key (not overwrite), so we must
+    # short-circuit before the guard prompts. Rule 3 mints only when there
+    # is no valid key to reuse — in that case overwriting is correct.
+    _agent_ctx = agent or _global_agent_mode() or (detect_agent_caller() is not None)
+    if not api_key and not email and _agent_ctx:
+        from mem0_cli.output import format_json_envelope
+        from mem0_cli.state import is_agent_mode as _is_json_mode
+
+        def _emit_reuse(source: str) -> None:
+            if _is_json_mode():
+                format_json_envelope(
+                    console,
+                    command="init",
+                    data={
+                        "api_key_saved": False,
+                        "api_key_source": source,
+                        "agent_mode": False,
+                        "message": "Existing Mem0 API key found and reused. No Agent Mode key was created.",
+                    },
+                )
+            else:
+                msg = (
+                    "Existing MEM0_API_KEY is valid; reusing it. No new Agent Mode key was minted."
+                    if source == "env"
+                    else "Existing API key in config is valid; reusing it. No new Agent Mode key was minted."
+                )
+                print_success(console, msg)
+
+        def _maybe_identify(key: str) -> None:
+            """Best-effort PATCH agent_caller when --agent-caller is supplied on a
+            reused key. Silent no-op on any failure — reuse must not break.
+            """
+            if not agent_caller:
+                return
+            try:
+                resp = httpx.patch(
+                    f"{base_url.rstrip('/')}/api/v1/auth/agent_mode/caller/",
+                    headers={
+                        "Authorization": f"Token {key}",
+                        "Content-Type": "application/json",
+                    },
+                    json={"agent_caller": agent_caller},
+                    timeout=10.0,
+                )
+                # Also reflect in local config so introspection matches backend.
+                if resp.status_code == 200 and CONFIG_FILE.exists():
+                    try:
+                        cfg = load_config()
+                        cfg.platform.agent_caller = resp.json().get("agent_caller", agent_caller)
+                        save_config(cfg)
+                    except Exception:
+                        pass
+            except httpx.HTTPError:
+                pass
+
+        # Rule 1: env MEM0_API_KEY valid → reuse, no new key.
+        _env_key = (os.environ.get("MEM0_API_KEY") or "").strip()
+        if _env_key and _ping_key(_env_key, base_url):
+            _maybe_identify(_env_key)
+            _emit_reuse("env")
+            _fire_init("existing_key")
+            return
+        # Rule 2: existing config api_key valid → reuse.
+        if CONFIG_FILE.exists():
+            _existing = load_config()
+            if _existing.platform.api_key and _ping_key(_existing.platform.api_key, base_url):
+                _maybe_identify(_existing.platform.api_key)
+                _emit_reuse("config")
+                _fire_init("existing_key")
+                return
+        # Rule 3: mint a fresh shadow (no valid key to reuse).
+        # agent_caller is the agent's self-declared identity from --agent-caller
+        # (Proof Editor-style). Env-var auto-detect is still used above to
+        # decide we're in an agent context, but never to fill identity.
+        bootstrap_via_backend(config, source=source, agent_caller=agent_caller)
+        _fire_init("agent")
+        return
+
     # Warn if an existing config with an API key would be overwritten
     if not force and CONFIG_FILE.exists():
         existing = load_config()
@@ -242,6 +383,7 @@ def run_init(
         config.platform.api_key = api_key_val
         config.platform.base_url = base_url
         config.platform.user_email = email
+        config.platform.created_via = "email"
         config.defaults.user_id = (
             user_id or os.environ.get("USER") or os.environ.get("USERNAME") or "mem0-cli"
         )
@@ -258,6 +400,8 @@ def run_init(
         return
 
     # ── API key flow (existing) ───────────────────────────────────────
+    # (Agent Mode branch runs earlier — see above, before the existing-config
+    # guard, so Rules 1/2 can REUSE a valid key without prompting overwrite.)
 
     # Non-TTY: resolve defaults so partial flags work in pipelines / CI
     if not sys.stdin.isatty():
@@ -265,7 +409,7 @@ def run_init(
             print_error(
                 err_console,
                 "Non-interactive terminal detected and --api-key is required.",
-                hint="Run: mem0 init --api-key <key> [--user-id <id>]",
+                hint="Run: mem0 init --api-key <key>, --email <addr>, or --agent for unattended Agent Mode bootstrap.",
             )
             raise typer.Exit(1)
         user_id = user_id or os.environ.get("USER") or os.environ.get("USERNAME") or "mem0-cli"
@@ -273,6 +417,7 @@ def run_init(
     # Fully non-interactive when both flags provided
     if api_key and user_id:
         config.platform.api_key = api_key
+        config.platform.created_via = "api_key"
         config.defaults.user_id = user_id
         _validate_platform(config)
         save_config(config)
@@ -313,6 +458,7 @@ def run_init(
             config.platform.api_key = api_key_val
             config.platform.base_url = base_url
             config.platform.user_email = email_addr
+            config.platform.created_via = "email"
             config.defaults.user_id = (
                 user_id or os.environ.get("USER") or os.environ.get("USERNAME") or "mem0-cli"
             )
@@ -331,6 +477,7 @@ def run_init(
     # API key flow
     if api_key:
         config.platform.api_key = api_key
+        config.platform.created_via = "api_key"
     else:
         _setup_platform(config)
 
@@ -370,6 +517,7 @@ def _setup_platform(config: Mem0Config) -> None:
         raise typer.Exit(1)
 
     config.platform.api_key = api_key
+    config.platform.created_via = "api_key"
 
 
 def _setup_defaults(config: Mem0Config) -> None:

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

@@ -0,0 +1,25 @@
+"""mem0 whoami — print the active agent's default_user_id (AGENTRUSH identifier)."""
+
+from __future__ import annotations
+
+import typer
+from rich.console import Console
+
+from mem0_cli.branding import BRAND_COLOR, print_error, print_info
+from mem0_cli.config import load_config
+
+console = Console()
+err_console = Console(stderr=True)
+
+
+def run_whoami() -> None:
+    config = load_config()
+    session_id = config.platform.default_user_id if config.platform else None
+    if not session_id:
+        print_error(
+            err_console,
+            "No default_user_id found. Run `mem0 init --agent` first.",
+        )
+        raise typer.Exit(1)
+    console.print(f"Your AGENTRUSH identifier:  [{BRAND_COLOR}]{session_id}[/{BRAND_COLOR}]")
+    print_info(console, "Find your row at https://mem0.ai/agentrush")

cli/python/src/mem0_cli/config.py

@@ -28,6 +28,14 @@ class PlatformConfig:
     api_key: str = ""
     base_url: str = DEFAULT_BASE_URL
     user_email: str = ""
+    # Agent Mode (unclaimed-shadow signup)
+    agent_mode: bool = False  # True while the key is an unclaimed agent-mode key
+    created_via: str = ""  # "agent_mode" | "email" | "api_key" | "existing_key"
+    agent_caller: str = (
+        ""  # canonical agent name when created_via == "agent_mode" (e.g. "claude-code")
+    )
+    claimed_at: str = ""  # ISO timestamp once the agent has been claimed by a human
+    default_user_id: str = ""  # `user_<slug>` returned by bootstrap; used as auto-default
 
 
 @dataclass
@@ -43,12 +51,20 @@ class TelemetryConfig:
     anonymous_id: str = ""
 
 
+@dataclass
+class AgentRushConfig:
+    # ISO timestamp the human acknowledged the "memories are public" warning.
+    # Empty until first interactive `mem0 agent-rush add`.
+    acknowledged_at: str = ""
+
+
 @dataclass
 class Mem0Config:
     version: int = CONFIG_VERSION
     defaults: DefaultsConfig = field(default_factory=DefaultsConfig)
     platform: PlatformConfig = field(default_factory=PlatformConfig)
     telemetry: TelemetryConfig = field(default_factory=TelemetryConfig)
+    agent_rush: AgentRushConfig = field(default_factory=AgentRushConfig)
 
 
 SHORT_KEY_ALIASES: dict[str, str] = {
@@ -83,6 +99,11 @@ def load_config() -> Mem0Config:
         config.platform.api_key = plat.get("api_key", "")
         config.platform.base_url = plat.get("base_url", DEFAULT_BASE_URL)
         config.platform.user_email = plat.get("user_email", "")
+        config.platform.agent_mode = bool(plat.get("agent_mode", False))
+        config.platform.created_via = plat.get("created_via", "")
+        config.platform.agent_caller = plat.get("agent_caller", "")
+        config.platform.claimed_at = plat.get("claimed_at", "")
+        config.platform.default_user_id = plat.get("default_user_id", "")
 
         defaults = data.get("defaults", {})
         config.defaults.user_id = defaults.get("user_id", "")
@@ -92,6 +113,9 @@ def load_config() -> Mem0Config:
         telemetry = data.get("telemetry", {})
         config.telemetry.anonymous_id = telemetry.get("anonymous_id", "")
 
+        agent_rush = data.get("agent_rush", {})
+        config.agent_rush.acknowledged_at = agent_rush.get("acknowledged_at", "")
+
     # Environment variable overrides
     env_key = os.environ.get("MEM0_API_KEY")
     if env_key:
@@ -136,10 +160,18 @@ def save_config(config: Mem0Config) -> None:
             "api_key": config.platform.api_key,
             "base_url": config.platform.base_url,
             "user_email": config.platform.user_email,
+            "agent_mode": config.platform.agent_mode,
+            "created_via": config.platform.created_via,
+            "agent_caller": config.platform.agent_caller,
+            "claimed_at": config.platform.claimed_at,
+            "default_user_id": config.platform.default_user_id,
         },
         "telemetry": {
             "anonymous_id": config.telemetry.anonymous_id,
         },
+        "agent_rush": {
+            "acknowledged_at": config.agent_rush.acknowledged_at,
+        },
     }
 
     with open(CONFIG_FILE, "w") as f:
@@ -147,6 +179,19 @@ def save_config(config: Mem0Config) -> None:
 
     os.chmod(CONFIG_FILE, stat.S_IRUSR | stat.S_IWUSR)  # 0600
 
+    # Propagate the active api_key to ecosystem touchpoints (Claude Code
+    # plugin env injection, shell rc exports). Idempotent — only updates
+    # EXISTING entries; never creates new ones. Best-effort: any IOError
+    # in the sync is swallowed so config.json is always the authoritative
+    # write, never blocked by plugin-state issues.
+    if config.platform.api_key:
+        try:
+            from mem0_cli.plugin_sync import sync_api_key
+
+            sync_api_key(config.platform.api_key)
+        except Exception:
+            pass
+
 
 def redact_key(key: str) -> str:
     """Redact an API key for display: m0-xxx...xxx"""

cli/python/src/mem0_cli/output.py

@@ -229,6 +229,16 @@ def format_json_envelope(
     if error:
         envelope["error"] = error
     envelope["data"] = data
+
+    # If the platform flagged this as an unclaimed Agent Mode account, surface
+    # the notice inside the JSON envelope so an agent consuming the output
+    # sees it without needing to inspect HTTP headers.
+    from mem0_cli.state import take_notice
+
+    notice = take_notice()
+    if notice:
+        envelope["mem0_notice"] = notice
+
     console.print_json(json.dumps(envelope, default=str))
 
 
@@ -323,6 +333,15 @@ def format_agent_envelope(
     if count is not None:
         envelope["count"] = count
     envelope["data"] = sanitize_agent_data(command, data)
+
+    # Surface the unclaimed-Agent-Mode notice (if any) in the envelope so an
+    # agent reading the JSON output sees it without inspecting HTTP headers.
+    from mem0_cli.state import take_notice
+
+    notice = take_notice()
+    if notice:
+        envelope["mem0_notice"] = notice
+
     console.print_json(json.dumps(envelope, default=str))
 
 

cli/python/src/mem0_cli/plugin_sync.py

@@ -0,0 +1,119 @@
+"""Sync the active Mem0 API key into other ecosystem touchpoints.
+
+Why this exists:
+  The CLI canonical state lives in ``~/.mem0/config.json``. But MCP servers
+  (Claude Code plugin, Codex plugin, etc.) read ``MEM0_API_KEY`` from env
+  vars or their own config files. Without a sync, an agent-mode bootstrap
+  mints a new key into config.json but the plugin's MCP keeps using the
+  old key from env — silent surprise.
+
+Design:
+  - Update ONLY entries that already exist (never create new ones)
+  - Preserve all surrounding content / formatting / other keys
+  - Atomic writes (tmpfile + rename) so a crash mid-write doesn't corrupt
+  - Idempotent — re-running with the same key is a no-op
+  - Skip on dry_run
+
+Targets currently handled:
+  - ``~/.claude/settings.json::env::MEM0_API_KEY`` (Claude Code env injection)
+  - ``~/.zshrc`` / ``~/.bashrc`` ``export MEM0_API_KEY="..."`` lines
+
+Out of scope (deliberately not touched):
+  - Codex / Cursor MCP configs — would require schema-aware edits and
+    those tools don't have mem0 entries by default
+  - Plugin's own ``<plugin-dir>/.api_key`` file — plugin-managed
+"""
+
+from __future__ import annotations
+
+import contextlib
+import json
+import os
+import re
+import tempfile
+from pathlib import Path
+
+# Files we know how to update safely.
+_CLAUDE_SETTINGS = Path.home() / ".claude" / "settings.json"
+_SHELL_RCS = [Path.home() / ".zshrc", Path.home() / ".bashrc", Path.home() / ".bash_profile"]
+
+
+def sync_api_key(api_key: str) -> list[str]:
+    """Propagate ``api_key`` into known ecosystem touchpoints.
+
+    Returns the list of paths actually updated. Empty list means nothing
+    needed updating (either targets didn't exist or already had this value).
+    """
+    if not api_key:
+        return []
+    updated: list[str] = []
+    if _update_claude_settings(_CLAUDE_SETTINGS, api_key):
+        updated.append(str(_CLAUDE_SETTINGS))
+    for rc in _SHELL_RCS:
+        if _update_shell_rc(rc, api_key):
+            updated.append(str(rc))
+    return updated
+
+
+def _update_claude_settings(path: Path, api_key: str) -> bool:
+    """Update ``env.MEM0_API_KEY`` in path. Returns True if file was changed."""
+    if not path.is_file():
+        return False
+    try:
+        with path.open("r", encoding="utf-8") as f:
+            data = json.load(f)
+    except (json.JSONDecodeError, OSError):
+        return False
+    env = data.get("env")
+    if not isinstance(env, dict) or "MEM0_API_KEY" not in env:
+        # No existing entry — don't create one.
+        return False
+    if env["MEM0_API_KEY"] == api_key:
+        return False  # already in sync
+    env["MEM0_API_KEY"] = api_key
+    _atomic_write_text(path, json.dumps(data, indent=2, ensure_ascii=False) + "\n")
+    return True
+
+
+# Match `export MEM0_API_KEY="..."` (or single quotes, or no quotes).
+# Use [ \t]* (not \s*) for trailing whitespace so a trailing newline at
+# end-of-file is preserved when MEM0_API_KEY is the last line.
+_RC_LINE = re.compile(
+    r'^([ \t]*export[ \t]+MEM0_API_KEY[ \t]*=[ \t]*)(["\']?)([^"\'\n]*)(["\']?)[ \t]*$',
+    re.MULTILINE,
+)
+
+
+def _update_shell_rc(path: Path, api_key: str) -> bool:
+    """Update an existing ``export MEM0_API_KEY=...`` line in path."""
+    if not path.is_file():
+        return False
+    try:
+        text = path.read_text(encoding="utf-8")
+    except OSError:
+        return False
+    match = _RC_LINE.search(text)
+    if not match:
+        return False  # no existing line
+    if match.group(3) == api_key:
+        return False
+    new_text = _RC_LINE.sub(lambda m: f'{m.group(1)}"{api_key}"', text, count=1)
+    _atomic_write_text(path, new_text)
+    return True
+
+
+def _atomic_write_text(path: Path, content: str) -> None:
+    """Write content to path atomically (temp + rename)."""
+    dirname = path.parent
+    fd, tmp_path = tempfile.mkstemp(prefix=f".{path.name}.", suffix=".tmp", dir=dirname)
+    try:
+        with os.fdopen(fd, "w", encoding="utf-8") as f:
+            f.write(content)
+        # Preserve mode if the original existed.
+        if path.exists():
+            os.chmod(tmp_path, path.stat().st_mode & 0o777)
+        os.replace(tmp_path, path)
+    except Exception:
+        with contextlib.suppress(OSError):
+            os.unlink(tmp_path)
+        raise

cli/python/src/mem0_cli/state.py

@@ -4,6 +4,7 @@ from __future__ import annotations
 
 _agent_mode: bool = False
 _current_command: str = ""
+_pending_notice: str = ""
 
 
 def is_agent_mode() -> bool:
@@ -22,3 +23,23 @@ def get_current_command() -> str:
 def set_current_command(name: str) -> None:
     global _current_command
     _current_command = name
+
+
+def capture_notice(notice: str | None) -> None:
+    """Stash a Mem0 backend notice for end-of-command surfacing.
+
+    Called from the platform backend after each response so the notice can
+    be printed once per command (regardless of how many sub-requests fired).
+    Last-write-wins is fine — the message text is identical across requests.
+    """
+    global _pending_notice
+    if notice:
+        _pending_notice = notice
+
+
+def take_notice() -> str:
+    """Return and clear the pending notice."""
+    global _pending_notice
+    msg = _pending_notice
+    _pending_notice = ""
+    return msg

cli/python/src/mem0_cli/telemetry.py

@@ -87,7 +87,6 @@ def capture_event(
     try:
         from mem0_cli import __version__
         from mem0_cli.config import CONFIG_FILE, load_config, save_config
-        from mem0_cli.state import is_agent_mode
 
         config = load_config()
         distinct_id = pre_resolved_email or _get_distinct_id()
@@ -107,6 +106,9 @@ def capture_event(
             with contextlib.suppress(Exception):
                 save_config(config)
 
+        # M4: every cli.* event carries agent_mode based on the config flag
+        # (unclaimed Agent Mode key). This is the growth-doc property used to
+        # join init → add → search funnels in PostHog.
         payload = {
             "api_key": POSTHOG_API_KEY,
             "distinct_id": distinct_id,
@@ -115,7 +117,7 @@ def capture_event(
                 "source": "CLI",
                 "language": "python",
                 "cli_version": __version__,
-                "agent_mode": is_agent_mode(),
+                "agent_mode": bool(config.platform.agent_mode),
                 "python_version": sys.version,
                 "os": sys.platform,
                 "os_version": platform.version(),

cli/python/tests/test_agent_mode.py

@@ -0,0 +1,160 @@
+"""Parity tests for `mem0 init --agent` (Agent Mode bootstrap).
+
+Mirror of ``cli/node/tests/agent-mode.test.ts`` — both files MUST stay in
+sync so that the Python and Node CLIs expose an identical surface for the
+Agent Mode entrypoint. If you add a flag here, add the same assertion on
+the Node side (and vice versa).
+
+Network-bound bootstrap is covered by the platform-side E2E suite
+(``backend/tests/e2e/test_05_agent_mode.py``); these tests only verify
+the CLI surface that ships in the binary.
+"""
+
+from __future__ import annotations
+
+import os
+import re
+import subprocess
+import sys
+
+import pytest
+
+_ANSI_RE = re.compile(r"\x1b\[[0-9;]*[mKJHABCDfsu]")
+
+
+def _strip_ansi(text: str) -> str:
+    return _ANSI_RE.sub("", text)
+
+
+def _run(args: list[str], home_dir: str | None = None) -> subprocess.CompletedProcess:
+    env = os.environ.copy()
+    for key in list(env.keys()):
+        if key.startswith("MEM0_"):
+            del env[key]
+    env.pop("FORCE_COLOR", None)
+    env["PYTHONIOENCODING"] = "utf-8"
+    if home_dir:
+        env["HOME"] = home_dir
+    result = subprocess.run(
+        [sys.executable, "-m", "mem0_cli", *args],
+        capture_output=True,
+        encoding="utf-8",
+        env=env,
+        timeout=15,
+    )
+    return subprocess.CompletedProcess(
+        args=result.args,
+        returncode=result.returncode,
+        stdout=_strip_ansi(result.stdout),
+        stderr=_strip_ansi(result.stderr),
+    )
+
+
+@pytest.fixture
+def clean_home(tmp_path):
+    return str(tmp_path)
+
+
+class TestInitFlagSurface:
+    """`mem0 init --help` must expose the Agent Mode flags."""
+
+    def test_init_help_lists_agent_flag(self):
+        result = _run(["init", "--help"])
+        assert result.returncode == 0
+        assert "--agent" in result.stdout
+
+    def test_init_help_describes_agent_mode(self):
+        result = _run(["init", "--help"])
+        assert result.returncode == 0
+        # Description must mention what --agent actually does so an agent
+        # reading the help can self-discover the bootstrap entrypoint.
+        assert "Agent Mode" in result.stdout or "unattended" in result.stdout.lower()
+
+    def test_init_help_lists_source_flag(self):
+        result = _run(["init", "--help"])
+        assert result.returncode == 0
+        assert "--source" in result.stdout
+
+    def test_init_help_lists_email_and_code(self):
+        # Claim flow flags must remain present alongside Agent Mode flags.
+        result = _run(["init", "--help"])
+        assert result.returncode == 0
+        assert "--email" in result.stdout
+        assert "--code" in result.stdout
+
+
+class TestArgvPreprocessing:
+    """`--agent` on `init` must reach init_cmd, not be eaten by the global preprocessor.
+
+    Regression for the bug where the top-level `--agent` JSON-alias was
+    stripped from ``sys.argv`` before Typer could bind it to the init
+    subcommand, making ``mem0 init --agent`` indistinguishable from a
+    plain ``mem0 init`` (interactive wizard).
+    """
+
+    def test_init_with_agent_reaches_subcommand(self, clean_home):
+        # We can't hit a real backend in unit tests, so we point the CLI at
+        # a guaranteed-dead URL and assert the failure is the bootstrap
+        # request failing — proving the --agent flag was honored and the
+        # bootstrap branch ran, not the interactive wizard.
+        result = subprocess.run(
+            [sys.executable, "-m", "mem0_cli", "init", "--agent"],
+            capture_output=True,
+            encoding="utf-8",
+            env={
+                **{k: v for k, v in os.environ.items() if not k.startswith("MEM0_")},
+                "HOME": clean_home,
+                "MEM0_BASE_URL": "http://127.0.0.1:1",  # blackhole
+                "FORCE_COLOR": "0",
+                "PYTHONIOENCODING": "utf-8",
+            },
+            timeout=15,
+        )
+        combined = _strip_ansi(result.stdout + result.stderr).lower()
+        # Either we got a connection/network error from the bootstrap POST,
+        # or the CLI surfaced an Agent Mode-specific failure message.
+        assert (
+            "agent" in combined
+            or "connect" in combined
+            or "network" in combined
+            or "fetch" in combined
+            or "bootstrap" in combined
+        ), f"Expected bootstrap attempt, got: {combined!r}"
+
+
+class TestJsonEnvelopeParity:
+    """`mem0 init --agent --json` should produce a JSON envelope on success.
+
+    Without a live backend we can only assert the failure shape: when the
+    backend is unreachable, the CLI must still exit non-zero AND not crash
+    on a Python traceback (which would mean we leaked an exception past
+    the agent-mode handler).
+    """
+
+    def test_init_agent_json_no_traceback_on_network_failure(self, clean_home):
+        result = subprocess.run(
+            [sys.executable, "-m", "mem0_cli", "init", "--agent", "--json"],
+            capture_output=True,
+            encoding="utf-8",
+            env={
+                **{k: v for k, v in os.environ.items() if not k.startswith("MEM0_")},
+                "HOME": clean_home,
+                "MEM0_BASE_URL": "http://127.0.0.1:1",
+                "FORCE_COLOR": "0",
+                "PYTHONIOENCODING": "utf-8",
+            },
+            timeout=15,
+        )
+        combined = _strip_ansi(result.stdout + result.stderr)
+        assert "Traceback (most recent call last)" not in combined
+        assert result.returncode != 0
+
+
+class TestInitInCommandList:
+    """`mem0 --help` must list `init` so agents walking the top-level help
+    can discover the Agent Mode entrypoint without prior knowledge."""
+
+    def test_top_level_help_lists_init(self):
+        result = _run(["--help"])
+        assert result.returncode == 0
+        assert "init" in result.stdout

cli/python/tests/test_cli_integration.py

@@ -49,6 +49,7 @@ def _run(
         if key.startswith("MEM0_"):
             del env[key]
     env.pop("FORCE_COLOR", None)
+    env["PYTHONIOENCODING"] = "utf-8"
     if home_dir:
         env["HOME"] = home_dir
     if env_override:
@@ -56,7 +57,7 @@ def _run(
     result = subprocess.run(
         [sys.executable, "-m", "mem0_cli", *args],
         capture_output=True,
-        text=True,
+        encoding="utf-8",
         env=env,
     )
     return subprocess.CompletedProcess(

cli/python/tests/test_commands.py

@@ -8,8 +8,8 @@ from io import StringIO
 from unittest.mock import patch
 
 import pytest
-from click.exceptions import Exit as ClickExit
 from rich.console import Console
+from typer import Exit as TyperExit
 
 from mem0_cli.commands.config_cmd import (
     cmd_config_get,
@@ -181,7 +181,7 @@ class TestAddCommand:
             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)),
+            pytest.raises((SystemExit, TyperExit)),
         ):
             cmd_add(
                 mock_backend,
@@ -206,7 +206,7 @@ class TestAddCommand:
         with (
             patch("mem0_cli.commands.memory.console", console),
             patch("mem0_cli.commands.memory.err_console", err_console),
-            pytest.raises((SystemExit, ClickExit)),
+            pytest.raises((SystemExit, TyperExit)),
         ):
             cmd_add(
                 mock_backend,
@@ -764,7 +764,7 @@ class TestImportCommand:
         with (
             patch("mem0_cli.commands.utils.console", console),
             patch("mem0_cli.commands.utils.err_console", err_console),
-            pytest.raises((SystemExit, ClickExit)),
+            pytest.raises((SystemExit, TyperExit)),
         ):
             cmd_import(mock_backend, "/nonexistent/file.json", user_id=None, agent_id=None)
 
@@ -801,7 +801,7 @@ class TestEntitiesListCommand:
         with (
             patch("mem0_cli.commands.entities.console", console),
             patch("mem0_cli.commands.entities.err_console", err_console),
-            pytest.raises((SystemExit, ClickExit)),
+            pytest.raises((SystemExit, TyperExit)),
         ):
             cmd_entities_list(mock_backend, "invalid", output="table")
 
@@ -944,7 +944,7 @@ class TestEntitiesDeleteCommand:
         with (
             patch("mem0_cli.commands.entities.console", console),
             patch("mem0_cli.commands.entities.err_console", err_console),
-            pytest.raises((SystemExit, ClickExit)),
+            pytest.raises((SystemExit, TyperExit)),
         ):
             cmd_entities_delete(
                 mock_backend,
@@ -1308,7 +1308,7 @@ class TestAgentMode:
             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)),
+            pytest.raises((SystemExit, TyperExit)),
         ):
             cmd_get(mock_backend, "bad-id", output="text")
 

cli/python/tests/test_config.py

@@ -67,7 +67,8 @@ class TestConfig:
         from mem0_cli.config import CONFIG_FILE
 
         mode = os.stat(CONFIG_FILE).st_mode & 0o777
-        assert mode == 0o600
+        if os.name != "nt":
+            assert mode == 0o600
 
     def test_defaults_save_and_load(self, isolate_config):
         config = Mem0Config()

cli/python/tests/test_init_internals.py

@@ -0,0 +1,206 @@
+"""Unit tests for init internals — decision tree primitives + plugin sync.
+
+These tests exercise the units that the high-level subprocess parity tests in
+``test_agent_mode.py`` deliberately can't reach:
+
+  - ``_ping_key`` must NOT treat network errors as "invalid key" (else a VPN
+    flap silently mints a new shadow over a working key).
+  - ``plugin_sync`` must only update entries that already exist, preserve
+    trailing newlines, and never mangle other lines.
+  - The 403→ratelimit translation in ``bootstrap_via_backend`` surfaces the
+    real cause instead of DRF's opaque "You do not have permission" string.
+
+Mirror surface lives in ``cli/node/tests/agent-mode.test.ts``; if you add a
+behavioral assertion here, mirror it on the Node side and vice versa.
+"""
+
+from __future__ import annotations
+
+from unittest.mock import MagicMock
+
+import httpx
+import pytest
+
+from mem0_cli.commands.init_cmd import _ping_key
+from mem0_cli.plugin_sync import _update_claude_settings, _update_shell_rc
+
+# ── _ping_key ──────────────────────────────────────────────────────────────
+
+
+class _Resp:
+    def __init__(self, status_code: int) -> None:
+        self.status_code = status_code
+
+
+def test_ping_key_200_is_valid(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setattr(httpx, "get", lambda *a, **kw: _Resp(200))
+    assert _ping_key("k", "http://x") is True
+
+
+def test_ping_key_401_is_invalid(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setattr(httpx, "get", lambda *a, **kw: _Resp(401))
+    assert _ping_key("k", "http://x") is False
+
+
+def test_ping_key_403_is_invalid(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setattr(httpx, "get", lambda *a, **kw: _Resp(403))
+    assert _ping_key("k", "http://x") is False
+
+
+def test_ping_key_5xx_is_not_definitively_invalid(monkeypatch: pytest.MonkeyPatch) -> None:
+    # Transient upstream failure must NOT cause a shadow to be minted.
+    monkeypatch.setattr(httpx, "get", lambda *a, **kw: _Resp(503))
+    assert _ping_key("k", "http://x") is True
+
+
+def test_ping_key_connect_error_prefers_reuse(monkeypatch: pytest.MonkeyPatch) -> None:
+    # Network blip (DNS, captive portal, etc.) — must NOT trigger a re-mint.
+    def boom(*a, **kw):
+        raise httpx.ConnectError("nope")
+
+    monkeypatch.setattr(httpx, "get", boom)
+    assert _ping_key("k", "http://x") is True
+
+
+def test_ping_key_timeout_prefers_reuse(monkeypatch: pytest.MonkeyPatch) -> None:
+    def boom(*a, **kw):
+        raise httpx.ReadTimeout("slow")
+
+    monkeypatch.setattr(httpx, "get", boom)
+    assert _ping_key("k", "http://x") is True
+
+
+# ── plugin_sync._update_shell_rc ──────────────────────────────────────────
+
+
+def test_shell_rc_updates_existing_export_preserves_trailing_newline(tmp_path) -> None:
+    rc = tmp_path / ".zshrc"
+    rc.write_text('export MEM0_API_KEY="old"\n', encoding="utf-8")
+    changed = _update_shell_rc(rc, "newkey")
+    assert changed is True
+    assert rc.read_text(encoding="utf-8") == 'export MEM0_API_KEY="newkey"\n'
+
+
+def test_shell_rc_does_not_create_new_export(tmp_path) -> None:
+    rc = tmp_path / ".zshrc"
+    rc.write_text("alias ll='ls -la'\n", encoding="utf-8")
+    changed = _update_shell_rc(rc, "newkey")
+    assert changed is False
+    assert rc.read_text(encoding="utf-8") == "alias ll='ls -la'\n"
+
+
+def test_shell_rc_preserves_surrounding_content(tmp_path) -> None:
+    rc = tmp_path / ".zshrc"
+    original = "# my zshrc\nalias ll='ls -la'\nexport MEM0_API_KEY='old'\nexport OTHER=keepme\n"
+    rc.write_text(original, encoding="utf-8")
+    _update_shell_rc(rc, "newkey")
+    after = rc.read_text(encoding="utf-8")
+    assert "alias ll='ls -la'\n" in after
+    assert "export OTHER=keepme\n" in after
+    assert "# my zshrc\n" in after
+    assert 'export MEM0_API_KEY="newkey"\n' in after
+
+
+def test_shell_rc_idempotent_when_already_matching(tmp_path) -> None:
+    rc = tmp_path / ".zshrc"
+    rc.write_text('export MEM0_API_KEY="same"\n', encoding="utf-8")
+    assert _update_shell_rc(rc, "same") is False
+
+
+def test_shell_rc_missing_file_is_noop(tmp_path) -> None:
+    rc = tmp_path / ".zshrc"  # does not exist
+    assert _update_shell_rc(rc, "x") is False
+
+
+# ── plugin_sync._update_claude_settings ────────────────────────────────────
+
+
+def test_claude_settings_does_not_create_env_block(tmp_path) -> None:
+    import json
+
+    settings = tmp_path / "settings.json"
+    settings.write_text(json.dumps({"otherKey": 1}), encoding="utf-8")
+    changed = _update_claude_settings(settings, "newkey")
+    assert changed is False
+    # Original content unchanged.
+    assert json.loads(settings.read_text(encoding="utf-8")) == {"otherKey": 1}
+
+
+def test_claude_settings_does_not_create_mem0_entry_in_existing_env(tmp_path) -> None:
+    import json
+
+    settings = tmp_path / "settings.json"
+    settings.write_text(json.dumps({"env": {"OTHER_KEY": "x"}}), encoding="utf-8")
+    changed = _update_claude_settings(settings, "newkey")
+    assert changed is False
+
+
+def test_claude_settings_updates_existing_entry(tmp_path) -> None:
+    import json
+
+    settings = tmp_path / "settings.json"
+    settings.write_text(
+        json.dumps({"env": {"MEM0_API_KEY": "old", "OTHER": "y"}}, indent=2),
+        encoding="utf-8",
+    )
+    changed = _update_claude_settings(settings, "fresh")
+    assert changed is True
+    data = json.loads(settings.read_text(encoding="utf-8"))
+    assert data["env"]["MEM0_API_KEY"] == "fresh"
+    assert data["env"]["OTHER"] == "y"  # other keys preserved
+
+
+def test_claude_settings_idempotent(tmp_path) -> None:
+    import json
+
+    settings = tmp_path / "settings.json"
+    settings.write_text(json.dumps({"env": {"MEM0_API_KEY": "same"}}), encoding="utf-8")
+    assert _update_claude_settings(settings, "same") is False
+
+
+def test_claude_settings_malformed_json_is_noop(tmp_path) -> None:
+    settings = tmp_path / "settings.json"
+    settings.write_text("{ this is not json", encoding="utf-8")
+    assert _update_claude_settings(settings, "x") is False
+
+
+# ── bootstrap rate-limit translation ──────────────────────────────────────
+
+
+def test_bootstrap_403_permission_surfaces_ratelimit(monkeypatch, capsys) -> None:
+    """DRF 403 'You do not have permission' must be translated to the daily limit message."""
+    from mem0_cli.commands.agent_mode_cmd import bootstrap_via_backend
+    from mem0_cli.config import Mem0Config
+
+    fake_resp = MagicMock()
+    fake_resp.status_code = 403
+    fake_resp.text = '{"detail": "You do not have permission to perform this action."}'
+    fake_resp.json = MagicMock(
+        return_value={"detail": "You do not have permission to perform this action."}
+    )
+
+    class _Client:
+        def __init__(self, *a, **kw):
+            pass
+
+        def __enter__(self):
+            return self
+
+        def __exit__(self, *a):
+            return False
+
+        def post(self, *a, **kw):
+            return fake_resp
+
+    monkeypatch.setattr(httpx, "Client", _Client)
+    cfg = Mem0Config()
+    cfg.platform.base_url = "https://api.mem0.ai"
+    import typer
+
+    with pytest.raises(typer.Exit):
+        bootstrap_via_backend(cfg)
+
+    captured = capsys.readouterr()
+    combined = captured.out + captured.err
+    assert "Daily Agent Mode signup limit reached" in combined
+    assert "permission to perform this action" not in combined

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

@@ -5,3 +5,5 @@ openapi: get /v1/event/{event_id}/
 ---
 
 Retrieve details about a specific event by passing its `event_id`. This endpoint is particularly helpful for tracking the status, payload, and completion details of asynchronous memory operations.
+
+For `POST /v3/memories/add/`, the event confirms that the write pipeline completed. Temporal reasoning enrichment runs asynchronously by default, so the event may be `SUCCEEDED` slightly before temporal ranking signals are available to subsequent `search` calls.

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

@@ -83,4 +83,3 @@ The request is queued for background processing. The response contains an `event
 <Info>
 Poll the event status via `GET /v1/event/{event_id}/`. Status will be `SUCCEEDED` or `FAILED` once processing completes.
 </Info>
-

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

@@ -64,4 +64,3 @@ memories = client.get_all(
 <Info>
 The response is a paginated envelope with `count`, `next`, `previous`, and `results`. Use `page` and `page_size` query params to step through results.
 </Info>
-

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

@@ -49,6 +49,7 @@ related_memories = client.search(
     {
       "id": "ea925981-272f-40dd-b576-be64e4871429",
       "memory": "Likes to play cricket and plays cricket on weekends.",
+      "user_id": "alice",
       "metadata": {
         "category": "hobbies"
       },

docs/api-reference/organizations-projects.mdx

@@ -79,7 +79,7 @@ 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 language preferences:
 
 ```python
 # Update project with custom categories

docs/changelog/highlights.mdx

@@ -4,6 +4,21 @@ description: "Major product launches, headline features, and milestones for Mem0
 mode: "wide"
 ---
 
+<Update label="2026-05-13" description="Temporal Reasoning for Mem0 Platform v3">
+
+**Temporal Reasoning — Time-Aware Retrieval for Platform v3**
+
+Mem0 Platform v3 can now interpret time-aware memories and queries so assistants retrieve the right information for questions about the past, upcoming plans, and current state.
+
+- **Time-aware search intent** — Queries like `last week`, `upcoming`, `right now`, and `as of March 2025` return contextually appropriate results automatically
+- **Enabled by default** — No per-request toggle required for v3 writes or searches
+- **Anchored relative queries** — `reference_date` anchors relative search phrases for tests, backfills, and reproducible demos
+- **Normal response shape** — Temporal reasoning affects ranking while preserving existing client response patterns
+
+See [Temporal Reasoning](/platform/features/temporal-reasoning) for usage details.
+
+</Update>
+
 <Update label="2026-05-08" description="Memory Decay">
 
 **Memory Decay — Recently-Used Memories Surface Higher, Automatically**
@@ -112,4 +127,4 @@ Major expansion of the provider ecosystem:
 
 First skill launch — a dedicated Mem0 skill providing platform API reference, quickstart patterns, and integration examples directly inside agent sessions. Available on [skills.sh](https://skills.sh) for any compatible AI coding agent.
 
-</Update>
+</Update>

docs/changelog/openclaw.mdx

@@ -4,6 +4,39 @@ description: "Release notes for the OpenClaw plugin and agent harness."
 mode: "wide"
 ---
 
+<Update label="2026-06-12" description="v1.0.13">
+
+**Fixes:**
+- **Custom categories payload:** `customCategories` (a `Record<string, string>` map) is now converted via the new `customCategoryMapToList()` helper into the `Array<Record<string, string>>` shape the Mem0 SDK expects on `add` calls — previously the raw object was passed as `custom_categories` and silently ignored ([#5345](https://github.com/mem0ai/mem0/pull/5345))
+- **Skip runtime setup during metadata registration:** `register()` now detects `registrationMode === "cli-metadata"`, registers only the CLI commands, and returns early — avoiding backend initialization, service/tool registration, and hook installation during OpenClaw's metadata-only registration pass ([#5383](https://github.com/mem0ai/mem0/pull/5383))
+
+**Security:**
+- Bumped `mem0ai` from `3.0.3` to `3.0.7` (latest Node SDK) — includes the transitive axios CVE remediation shipped in `3.0.6` ([#5460](https://github.com/mem0ai/mem0/pull/5460))
+- Added pnpm override `uuid@<11.1.1` → `>=11.1.1` to resolve an open MEDIUM Dependabot alert ([#5489](https://github.com/mem0ai/mem0/pull/5489))
+
+**Improvements:**
+- **Repo consolidation:** Plugin moved from repo-root `openclaw/` to `integrations/openclaw/`; `package.json` `repository.directory` updated to match so npm provenance links to the correct subdirectory ([#5491](https://github.com/mem0ai/mem0/pull/5491))
+
+**Tests:**
+- Added `customCategoryMapToList` unit tests and a `PlatformProvider` test asserting `custom_categories` is passed to the Mem0 SDK as a list ([#5345](https://github.com/mem0ai/mem0/pull/5345))
+- Added a regression test asserting `cli-metadata` registration registers only CLI commands and triggers no runtime side effects ([#5383](https://github.com/mem0ai/mem0/pull/5383))
+
+</Update>
+
+<Update label="2026-06-02" description="v1.0.12">
+
+**Docs:**
+- **Agent Mode onboarding:** README now documents an autonomous setup path for AI agents — `mem0 init --agent --json` mints an evaluation Mem0 API key with no email, OTP, or browser and exports it as `MEM0_API_KEY` for `openclaw mem0 init`; a human owner can later run `mem0 init --email <email>` to claim ownership without disrupting the agent ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+
+**Security:**
+- Added pnpm overrides to remediate advisories in transitive dependencies: `langsmith@<0.6.0` → `^0.6.0`, `picomatch@<2.3.2` → `^2.3.2`, `vite` → `^8.0.5`, and `@qdrant/js-client-rest` → `^1.18.0` ([#5294](https://github.com/mem0ai/mem0/pull/5294))
+
+**Dependencies:**
+- Bumped `mem0ai` from `3.0.2` to `3.0.3` ([#5212](https://github.com/mem0ai/mem0/pull/5212))
+- Bumped dev dependencies `@vitest/coverage-v8` and `vitest` from `^4.0.18` to `^4.1.7`; added `vite@^8.0.5` and `@qdrant/js-client-rest@^1.18.0` ([#5294](https://github.com/mem0ai/mem0/pull/5294))
+
+</Update>
+
 <Update label="2026-04-29" description="v1.0.11">
 
 **New Features:**

docs/changelog/platform.mdx

@@ -4,6 +4,17 @@ description: "Release notes for the Mem0 hosted platform — backend, dashboard,
 mode: "wide"
 ---
 
+<Update label="2026-05-13" description="">
+
+**New Features:**
+- **Memory:** Added Temporal Reasoning for Platform v3 to improve ranking for time-aware queries such as `last week`, `upcoming`, `right now`, and `as of ...`
+- **Search:** Added `reference_date` support to anchor relative temporal queries for tests, backfills, and reproducible demos
+
+**Improvements:**
+- **API:** Temporal reasoning preserves the normal client response shape for search and get-all results
+
+</Update>
+
 <Update label="2026-05-04" description="">
 
 **New Features:**
@@ -301,4 +312,3 @@ mode: "wide"
 - **Core:** Fixed unicode error in user_id, agent_id, run_id and app_id
 
 </Update>
-

docs/changelog/sdk.mdx

@@ -7,6 +7,57 @@ mode: "wide"
 <Tabs>
 <Tab title="Python">
 
+<Update label="2026-06-13" description="v2.0.6">
+
+**New Features:**
+- **Memory:** Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via `MEM0_TELEMETRY=false` ([#5494](https://github.com/mem0ai/mem0/pull/5494))
+
+**Bug Fixes:**
+- **Memory:** Prevent a crash in `parse_vision_messages` when vision support is disabled ([#5487](https://github.com/mem0ai/mem0/pull/5487))
+- **Vector Stores:** Expose the `https` option on the Qdrant vector store configuration so TLS endpoints can be targeted explicitly ([#5380](https://github.com/mem0ai/mem0/pull/5380))
+- **Vector Stores:** Use valid S3 Vectors entity index names, fixing index operations that failed on invalid names ([#5416](https://github.com/mem0ai/mem0/pull/5416))
+- **Vector Stores:** Fix `search()` crashing with a `TypeError` in the LangChain vector store when a result score is `None` ([#5072](https://github.com/mem0ai/mem0/pull/5072))
+- **Vector Stores:** Use `is not None` instead of a truthiness check for vector/payload in the PGVector `update()` path, so valid empty/zero values are no longer skipped ([#5488](https://github.com/mem0ai/mem0/pull/5488))
+- **Vector Stores:** Index the Valkey `memory` field as `TEXT` rather than `TAG` so full-text search behaves correctly ([#5443](https://github.com/mem0ai/mem0/pull/5443))
+- **Vector Stores:** Implement `$not` filter support in the ChromaDB vector store ([#5485](https://github.com/mem0ai/mem0/pull/5485))
+
+</Update>
+
+<Update label="2026-06-10" description="v2.0.5">
+
+**New Features:**
+- **Memory:** Warn at init time when hybrid/BM25 search silently degrades to semantic-only because the configured vector store does not implement `keyword_search`. Affected stores: Chroma, FAISS, Cassandra, LangChain, Neptune Analytics, S3 Vectors, Supabase, TurboPuffer, Valkey ([#5444](https://github.com/mem0ai/mem0/pull/5444))
+- **Memory:** Add opt-in `explain=True` parameter to `Memory.search()` and `AsyncMemory.search()`. When enabled, each result includes a `score_breakdown` dict with `semantic`, `keyword` (normalized BM25), `entity_boost`, and `temporal_boost` signals so callers can understand and tune retrieval ranking ([#5102](https://github.com/mem0ai/mem0/pull/5102))
+
+**Bug Fixes:**
+- **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better) consistently across all backends. 11 adapters previously returned raw distance metrics (lower = better) — FAISS, Chroma, Milvus, Redis, Cassandra, PGVector, S3 Vectors, Supabase, Valkey, Azure MySQL, and Vertex AI Vector Search — causing incorrect ranking in multi-store setups ([#5391](https://github.com/mem0ai/mem0/pull/5391))
+- **Memory:** Parallelize entity boost searches in `Memory.search()` and `AsyncMemory.search()`. Previously up to 8 entities were embedded and queried sequentially (16 serial round-trips with remote embedders); all entity lookups now run concurrently, eliminating multi-second latency on entity-rich queries ([#5377](https://github.com/mem0ai/mem0/pull/5377))
+- **Memory:** Reject empty or whitespace-only queries in `Memory.search()`, `AsyncMemory.search()`, `MemoryClient.search()`, and `AsyncMemoryClient.search()` before any embedding or API call is made. Also strips leading/trailing whitespace from valid queries ([#5258](https://github.com/mem0ai/mem0/pull/5258))
+- **LLMs:** Add `is_reasoning_model: Optional[bool]` override to `BaseLlmConfig` (surfaced on `OpenAILlmConfig` and `AzureOpenAILlmConfig`). Fixes silent zero-extraction when using Azure deployments with versioned `gpt-5.x` names that the automatic name-based heuristic cannot recognize ([#5327](https://github.com/mem0ai/mem0/pull/5327))
+- **LLMs:** Fix xAI LLM provider: add `XAIConfig` with `xai_base_url`, forward `tools`/`tool_choice` in `generate_response()`, and parse `tool_calls` in the response. Previously the provider raised `AttributeError` at init and silently dropped tool results ([#5190](https://github.com/mem0ai/mem0/pull/5190))
+- **Vector Stores:** Fix PGVector `ConnectionPool` hang in Docker Compose environments where the app container starts before Postgres is DNS-resolvable — switched to `open=False` to avoid blocking constructor or silent zombie pool ([#5155](https://github.com/mem0ai/mem0/pull/5155))
+- **Vector Stores:** Fix PGVector `sslmode` handling for PostgreSQL URIs — the `sslmode` query parameter is now correctly extracted and forwarded when building the async connection pool ([#5308](https://github.com/mem0ai/mem0/pull/5308))
+- **Vector Stores:** Fix S3 Vectors `list()` not applying metadata filters — filtering is now done client-side after fetching, with pagination preserved and `top_k` applied after filtering to prevent pre-truncation of matching rows ([#5018](https://github.com/mem0ai/mem0/pull/5018))
+- **Vector Stores:** Fix Upstash Vector `search()` routing all queries to the default namespace — `namespace` is now passed as a top-level keyword argument to `query_many()` instead of inside the per-query dict where it was silently ignored ([#5202](https://github.com/mem0ai/mem0/pull/5202))
+- **Core:** Replace mutable default arguments with `None` sentinels in embedder configs and the proxy module, preventing cross-request state contamination ([#5302](https://github.com/mem0ai/mem0/pull/5302))
+
+</Update>
+
+<Update label="2026-05-27" description="v2.0.4">
+
+**New Features:**
+- **Client:** `delete()` and async `delete()` accept `delete_linked` (default `False`). When `True`, deleting a memory also removes the older memories it superseded (the v3 `linked_memory_ids` chain), transitively — the delete-side counterpart of `latest_only`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
+
+</Update>
+
+<Update label="2026-05-26" description="v2.0.3">
+
+**Bug Fixes:**
+- **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keyword_search()`, and `list()`. Previously only exact-equality filters worked — operator dicts were silently stringified and returned zero results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
+- **Server:** Fixed `/search` endpoint returning 502 when `user_id`, `agent_id`, or `run_id` are sent as top-level request fields. The server now maps these into the `filters` dict before calling `Memory.search()`, matching the v3 API contract. Top-level entity ID fields are marked as deprecated in the OpenAPI schema and emit a warning log — clients should migrate to `filters={"user_id": "..."}` ([#5263](https://github.com/mem0ai/mem0/pull/5263))
+
+</Update>
+
 <Update label="2026-05-08" description="v2.0.2">
 
 **Bug Fixes:**
@@ -55,7 +106,7 @@ mode: "wide"
 **Breaking Changes:**
 - **`add()` returns ADD-only events** — No more `"UPDATE"` or `"DELETE"` events. Memories accumulate; nothing is overwritten ([#4805](https://github.com/mem0ai/mem0/pull/4805))
 - **`search()` default `threshold` is now `0.1`** — Pass `threshold=0.0` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
-- **`search()` `score` is now a combined multi-signal score** — The top-level `score` fuses semantic similarity, BM25 keyword match, and entity boost into one value. Absolute numbers shift versus the old raw cosine score; retune any hard thresholds against representative queries. Per-signal scores are not exposed on the response ([#4805](https://github.com/mem0ai/mem0/pull/4805), [#4836](https://github.com/mem0ai/mem0/pull/4836))
+- **`search()` `score` is now a combined multi-signal score** — The top-level `score` fuses semantic similarity, BM25 keyword match, entity signals, and temporal boosts into one value. Absolute numbers shift versus the old raw cosine score; retune any hard thresholds against representative queries ([#4805](https://github.com/mem0ai/mem0/pull/4805), [#4836](https://github.com/mem0ai/mem0/pull/4836))
 - **`search()` default `rerank` is now `False`** — Pass `rerank=True` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
 - **`top_k` default changed 100 → 20** in `Memory.get_all()` and `Memory.search()` (sync + async). Pass `top_k=100` explicitly to restore the old behavior ([#4843](https://github.com/mem0ai/mem0/pull/4843))
 - **Entity ID validation:** `user_id` / `agent_id` / `run_id` are trimmed; empty-string and whitespace-only values now raise `ValueError` ([#4843](https://github.com/mem0ai/mem0/pull/4843))
@@ -924,6 +975,52 @@ See the [OSS v1 to v2 migration guide](https://docs.mem0.ai/migration/oss-v1-to-
 </Tab>
 
 <Tab title="TypeScript">
+
+<Update label="2026-06-13" description="v3.0.8">
+
+**New Features:**
+- **Memory:** Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via `MEM0_TELEMETRY=false` ([#5494](https://github.com/mem0ai/mem0/pull/5494))
+
+**Security:**
+- **Dependencies:** Upgrade `@langchain/community` to `^1.1.18` to remediate CVE-2026-27795 and CVE-2026-26019 ([#5510](https://github.com/mem0ai/mem0/pull/5510))
+- **Dependencies:** Resolve all open MEDIUM Dependabot alerts via pnpm overrides ([#5489](https://github.com/mem0ai/mem0/pull/5489))
+
+</Update>
+
+<Update label="2026-06-10" description="v3.0.7">
+
+**New Features:**
+- **Embeddings:** Add `LMStudioEmbedding` provider for local embeddings via the LM Studio server ([#5377](https://github.com/mem0ai/mem0/pull/5377))
+- **Memory:** Add opt-in `explain: true` option to `Memory.search()`. When enabled, each result includes a `scoreBreakdown` object with `semantic`, `keyword`, `entityBoost`, and `temporalBoost` fields so callers can inspect and tune retrieval ranking ([#5102](https://github.com/mem0ai/mem0/pull/5102))
+
+**Bug Fixes:**
+- **Memory:** Parallelize entity boost searches in `Memory.search()`. All entity embed + store lookups now run concurrently instead of sequentially, eliminating multi-second latency on entity-rich queries with remote embedding providers ([#5377](https://github.com/mem0ai/mem0/pull/5377))
+- **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better) — fixed score inversion in the Redis vector store adapter ([#5391](https://github.com/mem0ai/mem0/pull/5391))
+- **Embeddings:** Request `encoding_format: "float"` from the OpenAI embedder in both `embed()` and `embedBatch()`. Fixes incorrect vector dimensions when using OpenAI-compatible proxies that default to base64 encoding ([#5170](https://github.com/mem0ai/mem0/pull/5170))
+
+</Update>
+
+<Update label="2026-06-01" description="v3.0.6">
+
+**Security:**
+- **Dependencies:** Bumped `axios` to `^1.16.0` to remediate high-severity prototype-pollution CVEs (credential theft, MITM, DoS). Pinned transitive dependencies via pnpm overrides: `jws` → 4.0.1 (CVE-2025-65945), `langsmith` → ^0.6.0 (CVE-2026-45134), `tar-fs` → ^2.1.4 (CVE-2025-48387, CVE-2025-59343), `picomatch` → ^2.3.2 (CVE-2026-33671), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `path-to-regexp` → ^8.4.0 (CVE-2026-4926), `rollup` → ^4.59.0 (CVE-2026-27606), `glob` → ^10.5.0 (CVE-2025-64756), `@modelcontextprotocol/sdk` → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)
+
+</Update>
+
+<Update label="2026-05-27" description="v3.0.5">
+
+**New Features:**
+- **Client:** `delete()` accepts an options object with `deleteLinked` (serialized as `delete_linked`, default `false`). When `true`, deleting a memory also removes the older memories it superseded (the v3 linked chain), transitively — the delete-side counterpart of `latestOnly`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
+
+</Update>
+
+<Update label="2026-05-26" description="v3.0.4">
+
+**Bug Fixes:**
+- **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keywordSearch()`, and `list()`. Previously only exact-equality filters worked — operator objects were passed as raw values and returned incorrect results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
+
+</Update>
+
 <Update label="2026-05-08" description="v3.0.3">
 
 **Bug Fixes:**
@@ -1323,6 +1420,37 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
 
 <Tab title="CLI">
 
+<Update label="2026-06-01" description="Node v0.2.8">
+
+**Security:**
+- **Dependencies:** Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: `jws` → 4.0.1 (CVE-2025-65945), `langsmith` → ^0.6.0 (CVE-2026-45134), `tar-fs` → ^2.1.4 (CVE-2025-48387, CVE-2025-59343), `picomatch` → ^2.3.2 (CVE-2026-33671), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `path-to-regexp` → ^8.4.0 (CVE-2026-4926), `rollup` → ^4.59.0 (CVE-2026-27606), `glob` → ^10.5.0 (CVE-2025-64756), `@modelcontextprotocol/sdk` → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)
+
+</Update>
+
+<Update label="2026-05-16" description="Python v0.2.6 / Node v0.2.6">
+
+**Bug Fixes:**
+- **Claim flow error message:** The `email_already_claimed` tip in `mem0 init --email` previously suggested running `mem0 link <key>` — a command that doesn't exist. Replaced with honest copy pointing the user to sign in at app.mem0.ai with their existing credentials ([#5152](https://github.com/mem0ai/mem0/pull/5152))
+
+</Update>
+
+<Update label="2026-05-14" description="Python v0.2.5 / Node v0.2.5">
+
+**New Features:**
+- **Agent Mode (`mem0 init --agent`):** Zero-friction signup for AI agents — mints a working Mem0 API key in under 5 seconds with no email, no dashboard, no OTP. Returns an unclaimed shadow account the human can later claim with `mem0 init --email <their-email>` (memories preserved, same key keeps working) ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+- **Self-declared agent identity:** Agents pass `--agent-caller <name>` (e.g. `claude-code`, `cursor`, `codex`) on `mem0 init --agent` so signups attribute to the right tool in analytics. Proof Editor-style — the agent declares itself rather than the CLI sniffing it from env vars ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+- **`mem0 identify <name>`:** New subcommand to self-tag an Agent Mode key after the fact when the agent forgot to pass `--agent-caller` on init. Idempotent — re-running just overwrites ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+- **Plugin sync:** `~/.claude/settings.json::env::MEM0_API_KEY` and `~/.zshrc`/`.bashrc` `export MEM0_API_KEY=` lines stay in sync with `~/.mem0/config.json` automatically. Idempotent — only updates EXISTING entries, never creates new ones ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+- **Claim flow:** `mem0 init --email <email>` claims an existing Agent Mode shadow via OTP. Upgrade-in-place — the API key never changes, memories transfer to the human's account ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+
+**Bug Fixes:**
+- **Decision tree network resilience:** `pingKey` now distinguishes network errors from invalid keys — returns false ONLY on HTTP 401/403, returns true on connection failures / timeouts / 5xx. Prevents a VPN flap from silently rotating the user's API key and rewriting plugin-sync targets ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+- **Rate-limit error clarity:** DRF's opaque `"You do not have permission"` 403 from Agent Mode rate limits is now translated to `"Daily Agent Mode signup limit reached for this network (5/day). Try again from a different IP or after midnight UTC."` ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+- **JSON envelope `command` field:** `mem0 init --agent --json` error envelopes now populate the `command` field correctly instead of returning an empty string ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+- **Bootstrap envelope validation:** Defends against partial/malformed backend responses (e.g. `{api_key: null}`) silently persisting null/undefined into typed string fields ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+
+</Update>
+
 <Update label="2026-04-22" description="Python v0.2.4 / Node v0.2.4">
 
 **New Features:**
@@ -1415,6 +1543,43 @@ A full-featured command-line interface for Mem0, available in both Python and No
 
 <Tab title="Plugins">
 
+<Update label="2026-06-01" description="openclaw-mem0 v1.0.12">
+
+**Security:**
+- **Dependencies:** Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: `protobufjs` → ^7.5.5, `vite` → ^8.0.5, `langsmith` → ^0.6.0 (CVE-2026-45134), `picomatch` → ^2.3.2 (CVE-2026-33671), `@qdrant/js-client-rest` → ^1.18.0
+
+</Update>
+
+<Update label="2026-06-10" description="Vercel AI SDK v3.0.0">
+
+**Major Release** — Migrated to Vercel AI SDK v6 (`LanguageModelV3` / `ProviderV3`) and Mem0 v3 API.
+
+**Breaking Changes:**
+- **AI SDK v6:** Upgraded from AI SDK v5 (`LanguageModelV2`) to v6 (`LanguageModelV3`). Users must upgrade `ai` to `^6.0.199` and all `@ai-sdk/*` provider packages to `^3.x` ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+- **Mem0 v3 API:** Memory endpoints migrated from `/v1/memories/` and `/v2/memories/search/` to `/v3/memories/add/` and `/v3/memories/search/`. Entity IDs (`user_id`, `agent_id`, `run_id`) now go inside the `filters` object for search requests ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+- **Graph memory removed:** All `enable_graph`, graph prompts, and relation-extraction code removed. Graph memory is now a project-level setting on the Platform ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+- **Deprecated params removed:** `org_id`, `project_id`, `org_name`, `project_name`, `output_format`, `filter_memories`, `async_mode`, `enable_graph`, `version`, `api_version` removed from `Mem0ConfigSettings` ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+
+**New Features:**
+- **V3 provider contract:** `specificationVersion: 'v3'`, `supportedUrls` property, V3 content array in `doGenerate`, V3 stream lifecycle events in `doStream` ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+- **Mem0 source in responses:** Memories are attached as a `source` in `generateText`/`streamText` responses with `providerMetadata.mem0.memories` for programmatic access ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+
+**Bug Fixes:**
+- **Async memory storage:** `addMemories` is now properly `await`ed — memories no longer silently fail to store ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+- **Prompt mutation:** Prompt array is now cloned before injecting memory context, preventing side effects on the caller's array ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+- **Null guard on content:** `doGenerate` guards against null `content` from upstream providers ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+- **Stream response:** `doStream` now returns the full `LanguageModelV3StreamResult` object preserving all V3 fields ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+- **Response normalization:** `getMemories` and `retrieveMemories` now handle both array and `{results: [...]}` envelope responses from the v3 API ([#4741](https://github.com/mem0ai/mem0/pull/4741))
+
+</Update>
+
+<Update label="2026-06-01" description="Vercel AI SDK v2.0.6">
+
+**Security:**
+- **Dependencies:** Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: `glob` → ^10.5.0 (CVE-2025-64756), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `picomatch` → ^2.3.2 (CVE-2026-33671), `rollup` → ^4.59.0 (CVE-2026-27606)
+
+</Update>
+
 <Update label="2026-04-02" description="mem0-plugin v1.0.0">
 
 **Mem0 Plugin for Claude Code, Cursor, and Codex**

docs/components/vectordbs/dbs/neon.mdx

@@ -0,0 +1,156 @@
+---
+title: "Neon"
+description: "Use Neon as a vector store in Mem0, powered by PostgreSQL and pgvector."
+---
+
+Use [Neon](https://neon.com/) as a vector store in Mem0, powered by PostgreSQL and the
+[pgvector extension](https://neon.com/docs/extensions/pgvector).
+
+Neon is a serverless Postgres platform. Since Mem0 supports Postgres through the
+`pgvector` provider, Neon can be used with a standard Postgres connection string.
+
+## Usage
+
+<CodeGroup>
+```python Python
+import os
+
+from dotenv import load_dotenv
+from mem0 import Memory
+
+load_dotenv()
+
+config = {
+    "vector_store": {
+        "provider": "pgvector",
+        "config": {
+            "connection_string": os.environ["DATABASE_URL"],
+            "collection_name": "memories",
+            "embedding_model_dims": 1536,
+            "hnsw": True,
+        },
+    },
+}
+
+m = Memory.from_config(config)
+messages = [
+    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
+    {"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
+    {"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
+    {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."},
+]
+m.add(messages, user_id="alice", metadata={"category": "movies"})
+
+results = m.search(
+    "What movies should I recommend?",
+    filters={"user_id": "alice"},
+)
+
+print(results)
+```
+
+```typescript TypeScript
+import "dotenv/config";
+import { Memory } from "mem0ai/oss";
+
+const databaseUrl = new URL(process.env.DATABASE_URL!);
+
+const m = new Memory({
+  vectorStore: {
+    provider: "pgvector",
+    config: {
+      user: decodeURIComponent(databaseUrl.username),
+      password: decodeURIComponent(databaseUrl.password),
+      host: databaseUrl.hostname,
+      port: Number(databaseUrl.port || 5432),
+      dbname: databaseUrl.pathname.slice(1) || "neondb",
+      collectionName: "memories",
+      dimension: 1536,
+      embeddingModelDims: 1536,
+      hnsw: true,
+    },
+  },
+});
+
+const messages = [
+  { role: "user" as const, content: "I'm planning to watch a movie tonight. Any recommendations?" },
+  { role: "assistant" as const, content: "How about thriller movies? They can be quite engaging." },
+  { role: "user" as const, content: "I'm not a big fan of thriller movies but I love sci-fi movies." },
+  { role: "assistant" as const, content: "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future." },
+];
+
+await m.add(messages, {
+  userId: "alice",
+  metadata: { category: "movies" },
+});
+
+const results = await m.search("What movies should I recommend?", {
+  filters: { user_id: "alice" },
+});
+
+console.log(results);
+```
+</CodeGroup>
+
+## SQL Migration
+
+You don't need to run any SQL migrations. Mem0 creates the collection table when it initializes the `pgvector` store.
+
+## Environment
+
+```env
+OPENAI_API_KEY=sk-xx...
+DATABASE_URL=postgresql://user:password@ep-example.us-east-2.aws.neon.tech/neondb?sslmode=require
+```
+
+## Config
+
+<Tabs>
+<Tab title="Python">
+| Parameter | Description | Default Value |
+| --- | --- | --- |
+| `connection_string` | Neon Postgres connection string. | Required |
+| `collection_name` | Name for the vector collection. | `mem0` |
+| `embedding_model_dims` | Embedding model dimensions. | `1536` |
+| `hnsw` | Enables HNSW indexing. | `False` |
+| `sslmode` | PostgreSQL SSL mode. Use `require` for Neon. | Driver default |
+</Tab>
+<Tab title="TypeScript">
+The current Mem0 TypeScript `pgvector` adapter takes individual Postgres fields,
+so parse `DATABASE_URL` before creating `Memory`.
+
+| Parameter | Description | Default |
+| --- | --- | --- |
+| `user` | Database user. | Required |
+| `password` | Database password. | Required |
+| `host` | Database host. | Required |
+| `port` | Database port. | `5432` |
+| `dbname` | Database name. | `vector_store` |
+| `collectionName` | Name for the vector collection. | `memories` |
+| `dimension` | Vector dimension for Mem0 config. | Auto-detected |
+| `embeddingModelDims` | Embedding model dimensions for table creation. | Required |
+| `hnsw` | Enables HNSW indexing. | `false` |
+</Tab>
+</Tabs>
+
+### Indexing
+
+The `pgvector` provider can create an HNSW index for faster vector search.
+
+- Set `hnsw` to `true` to enable a Hierarchical Navigable Small World index.
+- Leave `hnsw` as `false` if you want to create or manage indexes yourself.
+
+### Similarity Search
+
+The `pgvector` provider uses cosine similarity for vector search. Make sure your
+embedding dimensions match the configured `embedding_model_dims` value.
+
+### Best Practices
+
+1. **Index Selection**:
+   - Use `hnsw` for faster search performance when memory usage is not a constraint
+   - Manage indexes manually if you need a different pgvector index strategy
+
+2. **Connection String**:
+   - Always use environment variables or even better, a secret manager for sensitive information in the connection string
+   - Format: `postgresql://user:password@host:port/database`

docs/components/vectordbs/dbs/qdrant.mdx

@@ -76,6 +76,7 @@ Let's see the available parameters for the `qdrant` config:
 | `path` | Path for the qdrant database | `/tmp/qdrant` |
 | `url` | Full URL for the qdrant server | `None` |
 | `api_key` | API key for the qdrant server | `None` |
+| `https` | Whether to force HTTPS on or off. `None` lets the client decide; set `False` for plain HTTP Qdrant with API key authentication. | `None` |
 | `on_disk` | For enabling persistent storage | `False` |
 </Tab>
 <Tab title="TypeScript">
@@ -90,4 +91,4 @@ Let's see the available parameters for the `qdrant` config:
 | `apiKey` | API key for the Qdrant server | `None` |
 | `onDisk` | For enabling persistent storage | `False` |
 </Tab>
-</Tabs>
+</Tabs>

docs/cookbooks/essentials/controlling-memory-ingestion.mdx

@@ -323,10 +323,6 @@ Metadata: {'verified': True, 'updated_date': '2025-04-02'}
 That “no duplicates” promise comes from the inference pipeline. Keep `infer=True` when you rely on automatic updates. Raw imports (`infer=False`) skip conflict checks, so mixing the two modes for the same fact will create duplicates.
 </Warning>
 
-**Maintains relationships:**
-
-- If using graph memory, connections to other entities persist
-
 ### Pick the right inference mode
 
 | Mode | What it does | Best for | Watch out for |

docs/cookbooks/frameworks/gemini-3-with-mem0-mcp.mdx

@@ -216,7 +216,6 @@ This information was retrieved from your memory history where you previously men
 
 - **Smart Memory Management** - Organizes memories into searchable information *without setting up vector databases*
 - **Fast Retrieval** - Instant lookups with *sub-millisecond ping*, handles large datasets
-- **Graph Capabilities** - Builds knowledge *automatically* as you push information
 - **Simple Integration** - Uses Mem0 API in the backend, works with *any MCP client* with just a few lines of code
 
 ### Gemini 3 + Mem0 Benefits

docs/cookbooks/overview.mdx

@@ -156,14 +156,7 @@ Here are some examples of how Mem0 can be integrated into various applications:
     icon="aws"
     href="/cookbooks/integrations/aws-bedrock"
   >
-    Mem0 with AWS Bedrock and Neptune.
-  </Card>
-  <Card
-    title="Graph Memory on Neptune"
-    icon="network-wired"
-    href="/cookbooks/integrations/neptune-analytics"
-  >
-    Graph memory with Neptune Analytics.
+    Mem0 with AWS Bedrock.
   </Card>
 </CardGroup>
 

docs/core-concepts/memory-evaluation.mdx

@@ -47,7 +47,7 @@ When a query arrives, the retrieval pipeline scores candidates across three sign
 
 1. **Semantic Search** — Vector similarity scoring against memory embeddings
 2. **Keyword Search** — Normalized term matching via BM25 with verb-form lemmatization
-3. **Entity Search** — Entity graph matching boosts memories linked to query entities
+3. **Entity Search** — Entity matching boosts memories linked to query entities
 
 Results are fused via rank scoring into a final top-K set. Different query types lean on different signals:
 

docs/core-concepts/memory-operations/add.mdx

@@ -27,15 +27,11 @@ Adding memory is how Mem0 captures useful details from a conversation so your ag
 
 Mem0 offers two flows:
 
-- **Mem0 Platform** – Fully managed API with dashboard, scaling, and graph features.
+- **Mem0 Platform** – Fully managed API with dashboard and scaling.
 - **Mem0 Open Source** – Local SDK that you run in your own environment.
 
 Both flows take the same payload and pass it through the same pipeline.
 
-<Frame caption="Architecture diagram illustrating the process of adding memories.">
-  <img src="../../images/add_architecture.png" />
-</Frame>
-
 <Steps>
 <Step title="Information extraction">
 Mem0 sends the messages through an LLM that pulls out key facts, decisions, or preferences to remember.
@@ -44,7 +40,7 @@ Mem0 sends the messages through an LLM that pulls out key facts, decisions, or p
 Existing memories are checked for duplicates or contradictions so the latest truth wins.
 </Step>
 <Step title="Storage">
-The resulting memories land in managed vector storage (and optional graph storage) so future searches return them quickly.
+The resulting memories land in managed vector storage so future searches return them quickly.
 </Step>
 </Steps>
 
@@ -177,7 +173,7 @@ For full list of supported fields, required formats, and advanced options, see t
 
 ## Put it into practice
 
-- Review the <Link href="/platform/advanced-memory-operations">Advanced Memory Operations</Link> guide to layer metadata, rerankers, and graph toggles.
+- Review the <Link href="/platform/advanced-memory-operations">Advanced Memory Operations</Link> guide to layer metadata and rerankers.
 - Explore the <Link href="/api-reference/memory/add-memories">Add Memories API reference</Link> for every request/response field.
 
 ## See it live

docs/core-concepts/memory-operations/search.mdx

@@ -25,10 +25,6 @@ Mem0's search operation lets agents ask natural-language questions and get back
 
 ## Architecture
 
-<Frame caption="Architecture diagram illustrating the memory search process.">
-  <img src="../../images/search_architecture.png" />
-</Frame>
-
 <Steps>
 <Step title="Query processing">
 Mem0 cleans and enriches your natural-language query so the downstream embedding search is accurate.
@@ -156,6 +152,37 @@ const memories = memory.search("food preferences", {
   Expect an array of memory documents. Platform responses include vectors, metadata, and timestamps; OSS returns your stored schema.
 </Info>
 
+<Note>
+  On Mem0 Platform v3, time-aware queries use Temporal Reasoning internally while preserving the normal search response shape. See <Link href="/platform/features/temporal-reasoning">Temporal Reasoning</Link>.
+</Note>
+
+### Explain OSS search scores
+
+OSS search combines semantic similarity with optional keyword and entity signals. Pass `explain=True` when tuning retrieval quality or debugging why a memory ranked where it did:
+
+<CodeGroup>
+```python Python
+results = m.search(
+    "food preferences",
+    filters={"user_id": "alice"},
+    explain=True,
+)
+
+print(results["results"][0]["score_details"])
+```
+
+```javascript JavaScript
+const results = await memory.search("food preferences", {
+    filters: { user_id: "alice" },
+    explain: true,
+});
+
+console.log(results.results[0].score_details);
+```
+</CodeGroup>
+
+Each result includes `score_details` with the semantic score, normalized BM25 score, entity boost, raw combined score, maximum possible score, final score, and threshold used for filtering. The field is omitted unless `explain` is enabled, so existing response shapes stay unchanged.
+
 ## Filter patterns
 
 Filters help narrow down search results. Common use cases:
@@ -251,4 +278,4 @@ For the full list of filter logic, comparison operators, and optional search par
     icon="rocket"
     href="/cookbooks/operations/support-inbox"
   />
-</CardGroup>
+</CardGroup>

docs/core-concepts/memory-types.mdx

@@ -104,7 +104,7 @@ results = memory.search(
 ## Put it into practice
 
 - Use the <Link href="/core-concepts/memory-operations/add">Add Memory</Link> guide to persist user preferences.
-- Follow <Link href="/platform/advanced-memory-operations">Advanced Memory Operations</Link> to tune metadata and graph writes.
+- Follow <Link href="/platform/advanced-memory-operations">Advanced Memory Operations</Link> to tune metadata and retrieval.
 
 ## See it live
 

docs/docs.json

@@ -40,6 +40,7 @@
                     "icon": "rocket",
                     "pages": [
                       "platform/overview",
+                      "platform/agent-signup",
                       "vibecoding",
                       "platform/mem0-mcp",
                       "platform/cli",
@@ -72,7 +73,8 @@
                           "platform/features/entity-scoped-memory",
                           "platform/features/async-client",
                           "platform/features/multimodal-support",
-                          "platform/features/custom-categories"
+                          "platform/features/custom-categories",
+                          "platform/features/temporal-reasoning"
                         ]
                       },
                       {
@@ -141,7 +143,8 @@
                     "icon": "robot",
                     "pages": [
                       "integrations/openclaw",
-                      "integrations/hermes"
+                      "integrations/hermes",
+                      "integrations/pi-agent"
                     ]
                   }
                 ]
@@ -243,6 +246,7 @@
                               "components/vectordbs/dbs/cassandra",
                               "components/vectordbs/dbs/s3_vectors",
                               "components/vectordbs/dbs/databricks",
+                              "components/vectordbs/dbs/neon",
                               "components/vectordbs/dbs/neptune_analytics",
                               "components/vectordbs/dbs/turbopuffer"
                             ]
@@ -300,7 +304,8 @@
                     "group": "Migration",
                     "icon": "arrow-right",
                     "pages": [
-                      "migration/oss-v2-to-v3"
+                      "migration/oss-v2-to-v3",
+                      "migration/server-pgvector-upgrade"
                     ]
                   },
                   {
@@ -450,7 +455,9 @@
                     "pages": [
                       "integrations/claude-code",
                       "integrations/cursor",
-                      "integrations/codex"
+                      "integrations/codex",
+                      "integrations/opencode",
+                      "integrations/antigravity"
                     ]
                   },
                   {
@@ -458,7 +465,8 @@
                     "icon": "robot",
                     "pages": [
                       "integrations/openclaw",
-                      "integrations/hermes"
+                      "integrations/hermes",
+                      "integrations/pi-agent"
                     ]
                   }
                 ]
@@ -1144,4 +1152,4 @@
       "destination": "/introduction"
     }
   ]
-}
+}

docs/integrations/antigravity.mdx

@@ -0,0 +1,82 @@
+---
+title: Antigravity
+description: "Add persistent memory to Google Antigravity with the Mem0 plugin — MCP server, lifecycle hooks, and slash commands."
+---
+
+Add persistent memory to [**Google Antigravity**](https://antigravity.google) (`agy` CLI and Desktop IDE) with the Mem0 plugin. Your agent forgets everything between sessions — Mem0 fixes that by storing decisions, preferences, and learnings so they carry over automatically.
+
+## Prerequisites
+
+1. A Mem0 API key (starts with `m0-`):
+   - <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-antigravity" rel="nofollow">Get your API key</a> (free sign-up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-antigravity" rel="nofollow">app.mem0.ai</a>)
+
+2. Add it to your shell profile so it persists across sessions:
+
+<CodeGroup>
+```bash zsh
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.zshrc && source ~/.zshrc
+```
+
+```bash bash
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc && source ~/.bashrc
+```
+</CodeGroup>
+
+## Installation
+
+**Option A — degit** (recommended):
+
+```bash
+# Install the plugin (MCP server, hooks, scripts)
+npx degit mem0ai/mem0/integrations/mem0-plugin ~/.gemini/config/plugins/mem0
+```
+
+This installs the MCP server, lifecycle hooks, and shared scripts.
+
+## What's Included
+
+| Component | Included |
+|-----------|:--------:|
+| MCP Server (9 memory tools) | Yes |
+| Lifecycle Hooks | Yes |
+| 16 Slash Commands | Yes |
+
+## Available MCP Tools
+
+| 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
+
+The plugin uses the same shell scripts as Claude Code, Cursor, and Codex — hooks bridge environment variables using `${extensionPath}` (Antigravity's plugin-root token).
+
+| Hook | Event | What it does |
+|------|-------|-------------|
+| **Session start** | `SessionStart` | Loads prior memories and displays status banner |
+| **User prompt** | `UserPromptSubmit` | Searches relevant memories before each message |
+| **Pre-tool** | `PreToolUse` | Blocks MEMORY.md writes, enforces `user_id`/`app_id` on mem0 tools |
+| **Post-tool** | `PostToolUse` | Tracks stats, scans bash errors for related memories |
+
+## Troubleshooting
+
+- **No tools appearing** — Restart your Antigravity session after installation
+- **"Connection failed"** — Verify your key is set: `echo $MEM0_API_KEY`
+- **MCP 401 Unauthorized** — If `${MEM0_API_KEY}` interpolation doesn't work in your `agy` version, replace with your literal key in `mcp_config.json`
+
+<CardGroup cols={2}>
+  <Card title="Mem0 MCP Setup" icon="puzzle-piece" href="/platform/mem0-mcp">
+    Detailed MCP configuration for all clients
+  </Card>
+  <Card title="OpenCode Integration" icon="code" href="/integrations/opencode">
+    Add Mem0 memory to OpenCode workflows
+  </Card>
+</CardGroup>

docs/integrations/claude-code.mdx

@@ -5,13 +5,6 @@ description: "Add persistent memory to Claude Code and Claude Cowork with the Me
 
 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:
@@ -22,10 +15,25 @@ Before setting up Mem0 with Claude Code, ensure you have:
 
 2. Claude Code CLI or Claude Cowork desktop app installed
 
-3. Your API key exported in your shell:
+3. Your API key added to your shell profile (persists across sessions):
+
+<CodeGroup>
+```bash zsh
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.zshrc
+source ~/.zshrc
+```
+
+```bash bash
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc
+source ~/.bashrc
+```
+</CodeGroup>
+
+Confirm it's set:
 
 ```bash
-export MEM0_API_KEY="m0-your-api-key"
+echo $MEM0_API_KEY
+# Should print: m0-your-api-key
 ```
 
 ## Installation
@@ -84,6 +92,22 @@ Add to your Claude Code MCP config (`.mcp.json`):
   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>
 
+## Post-Installation: Run `/mem0:onboard`
+
+After installing the plugin, start a new Claude Code session and run:
+
+```
+/mem0:onboard
+```
+
+This runs the setup wizard which:
+1. Verifies your API key and MCP connection
+2. Detects and imports project files (`CLAUDE.md`, `AGENTS.md`, `.cursorrules`)
+3. Installs coding-optimized memory categories
+4. Shows your identity (user ID, project scope, branch)
+
+The onboarding is idempotent — safe to re-run anytime. It auto-triggers on first session in a new project, but you can always invoke it manually.
+
 ## What's Included
 
 | Component | Plugin Install | MCP Only |
@@ -112,20 +136,13 @@ Once installed, the following tools are available in every Claude Code session:
 
 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.
+| Hook | Event | What it does |
+|------|-------|-------------|
+| **Session start** | `SessionStart` | Loads prior memories and displays status banner |
+| **User prompt** | `UserPromptSubmit` | Searches relevant memories before each message; skips short prompts |
+| **Pre-tool** | `PreToolUse` | Blocks MEMORY.md writes, enforces `user_id`/`app_id` on mem0 tool calls |
+| **Post-tool** | `PostToolUse` | Tracks stats, scans bash errors for related memories |
+| **Pre-compact** | `PreCompact` | Stores a session summary before context compaction |
 
 ## Example Workflow
 
@@ -149,9 +166,10 @@ You: Add refresh token rotation to the auth system.
 
 ## Troubleshooting
 
-- **"Connection failed"** — Verify `MEM0_API_KEY` is set in your shell: `echo $MEM0_API_KEY`
+- **"Connection failed"** — Verify `MEM0_API_KEY` is set in your shell: `echo $MEM0_API_KEY`. If empty, add it to your shell profile (see Prerequisites)
 - **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.
+- **Memories not being captured** — Ensure you installed via the plugin marketplace (Option A) for lifecycle hooks. MCP-only installs require manual memory operations
+- **"Mem0 Inactive" banner every session** — Your API key isn't persisting. Add `export MEM0_API_KEY="m0-..."` to your `~/.zshrc` (or `~/.bashrc`) and run `source ~/.zshrc`
 
 <CardGroup cols={2}>
   <Card title="Mem0 MCP Setup" icon="puzzle-piece" href="/platform/mem0-mcp">

docs/integrations/codex.mdx

@@ -1,16 +1,9 @@
 ---
 title: Codex
-description: "Add persistent memory to OpenAI Codex with the Mem0 plugin — MCP server, memory protocol skill, and plugin marketplace support."
+description: "Add persistent memory to OpenAI Codex with the Mem0 plugin — MCP server, lifecycle hooks, and SDK skill."
 ---
 
-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
+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, automatically capturing learnings at key lifecycle points, and retrieving relevant context before every response.
 
 ## Prerequisites
 
@@ -22,17 +15,41 @@ Before setting up Mem0 with Codex, ensure you have:
 
 2. OpenAI Codex access
 
-3. Your API key exported in your shell:
+3. Your API key added to your shell profile (persists across sessions):
 
-```bash
-export MEM0_API_KEY="m0-your-api-key"
+<CodeGroup>
+```bash zsh
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.zshrc
+source ~/.zshrc
 ```
 
+```bash bash
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc
+source ~/.bashrc
+```
+</CodeGroup>
+
 ## Installation
 
-### Option A — Direct MCP (Recommended)
+### Option A — Plugin Marketplace (Recommended)
 
-The fastest way to connect Codex to Mem0 — no downloads, no marketplace. Codex reads MCP servers from `~/.codex/config.toml` as TOML. Add:
+Install the full plugin including MCP server, lifecycle hooks, and SDK skill.
+
+1. Add the Mem0 marketplace:
+
+   ```bash
+   codex plugin marketplace add mem0ai/mem0
+   ```
+
+2. Restart Codex, open the Plugin Directory, browse the **Mem0 Plugins** marketplace, and install **Mem0**.
+
+<Info>
+  Do not combine with Option B. The plugin manifest auto-registers the `mem0` MCP server, so adding both will create a duplicate registration.
+</Info>
+
+### Option B — Direct MCP
+
+The fastest way to connect Codex to Mem0 — no plugin, no marketplace. Add to `~/.codex/config.toml`:
 
 ```toml
 [mcp_servers.mem0]
@@ -46,71 +63,16 @@ Make sure `MEM0_API_KEY` is exported in the shell you launch Codex from, then re
   Codex's `codex mcp add` CLI only supports stdio MCP servers. Because Mem0's MCP is HTTP/streamable, you configure it by editing `config.toml` directly (or via the **Plugins → Connect to a custom MCP → Streamable HTTP** UI in the Codex app).
 </Info>
 
-### Option B — Sideload the Plugin (Advanced)
-
-For the full plugin experience — MCP server **plus** the Mem0 SDK skill, memory protocol skill, and opt-in lifecycle hooks — sideload the plugin from a local clone. The Mem0 repo already ships a marketplace manifest at [`.agents/plugins/marketplace.json`](https://github.com/mem0ai/mem0/blob/main/.agents/plugins/marketplace.json), so there's no JSON to author by hand. This follows the Codex [build-plugins](https://developers.openai.com/codex/plugins/build) local-testing workflow.
-
-<Info>
-  Don't combine Option B with Option A. The plugin manifest declares its MCP server via [`.codex-mcp.json`](https://github.com/mem0ai/mem0/blob/main/mem0-plugin/.codex-mcp.json), so Codex auto-registers the `mem0` MCP server when the plugin loads. Adding the same `[mcp_servers.mem0]` block to `~/.codex/config.toml` will create a duplicate registration.
-</Info>
-
-**Step 1.** Clone the Mem0 repository anywhere on disk:
-
-```bash
-git clone https://github.com/mem0ai/mem0.git ~/codex-plugins/mem0-source
-```
-
-**Step 2.** Register the bundled marketplace with Codex's CLI:
-
-```bash
-codex plugin marketplace add ~/codex-plugins/mem0-source
-```
-
-This points Codex at the repo's `.agents/plugins/marketplace.json`. The bundled file uses `path: "./mem0-plugin"`, which Codex resolves relative to the clone root.
-
-<Info>
-  **Why we recommend this over hand-authoring `~/.agents/plugins/marketplace.json`:** Codex requires `source.path` in any marketplace manifest to be **relative** (starting with `./`) and **inside the marketplace root**. The repo's bundled manifest already satisfies this — the marketplace root is the clone directory, and `mem0-plugin/` lives inside it. With a personal `~/.agents/plugins/marketplace.json`, the root is `~/` and the clone has to live under `~/` too. The CLI form sidesteps that constraint.
-</Info>
-
-**Step 3.** Restart Codex, run `/plugins`, browse the `Mem0 Plugins` marketplace, and install **Mem0**.
-
-**Step 4 (optional) — enable lifecycle hooks.** Codex doesn't auto-wire hooks from plugin manifests; it only reads them from `~/.codex/hooks.json` (or `<repo>/.codex/hooks.json`). Run the bundled installer once to merge the Mem0 entries into your global hooks file:
-
-```bash
-python3 ~/codex-plugins/mem0-source/mem0-plugin/scripts/install_codex_hooks.py
-```
-
-Then enable the hooks feature flag in `~/.codex/config.toml`:
-
-```toml
-[features]
-codex_hooks = true
-```
-
-Restart Codex. The installer registers three hooks pointing at scripts inside your clone:
-
-| Event | Behavior |
-|-------|----------|
-| `SessionStart` | Loads prior memories as bootstrap context |
-| `UserPromptSubmit` | Injects relevant memories before each prompt |
-| `Stop` | Reminds the agent to persist learnings at turn end |
-
-Re-running the installer is idempotent. To remove the hooks: `python3 ~/codex-plugins/mem0-source/mem0-plugin/scripts/install_codex_hooks.py --uninstall`.
-
-<Warning>
-  The hooks file stores absolute paths into your clone (e.g. `~/codex-plugins/mem0-source/mem0-plugin/scripts/...`). If you move or delete the clone, the hooks will break silently — re-run the installer from the new location, or run `--uninstall` first.
-</Warning>
+This gives you the MCP tools but not the lifecycle hooks or SDK skill.
 
 ### Managing the Plugin
 
-Codex provides CLI commands for managing marketplaces after install:
-
 ```bash
 codex plugin marketplace upgrade               # pull latest plugin versions
 codex plugin marketplace remove mem0-plugins   # unregister the marketplace
 ```
 
-To pull updates to the plugin source itself, `git pull` inside your clone (`~/codex-plugins/mem0-source`) and then run `codex plugin marketplace upgrade` to refresh Codex's plugin cache. Plugins are cached at `~/.codex/plugins/cache/<marketplace>/<plugin>/<version>/`.
+To update, run `codex plugin marketplace upgrade` to pull the latest from the Mem0 repo.
 
 <Info icon="check">
   After either option, 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.
@@ -118,12 +80,11 @@ To pull updates to the plugin source itself, `git pull` inside your clone (`~/co
 
 ## What's Included
 
-| Component | Sideloaded Plugin | Direct MCP |
-|-----------|:-----------------:|:----------:|
+| Component | Plugin Install | MCP Only |
+|-----------|:--------------:|:--------:|
 | MCP Server (9 memory tools) | Yes | Yes |
-| Memory Protocol Skill | Yes | No |
+| Lifecycle Hooks | Yes | No |
 | Mem0 SDK Skill | Yes | No |
-| Lifecycle Hooks (opt-in) | Yes | No |
 
 ## Available MCP Tools
 
@@ -141,49 +102,17 @@ Once installed, the following tools are available in every Codex session:
 | `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
+## Lifecycle Hooks
 
-When the plugin is sideloaded, the memory protocol skill instructs the agent to:
+When installed via the plugin marketplace, Mem0 hooks into Codex's lifecycle to automatically manage memory:
 
-### 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"]
-  }
-}
-```
+| Hook | Event | What it does |
+|------|-------|-------------|
+| **Session start** | `SessionStart` | Loads prior memories and displays status banner |
+| **User prompt** | `UserPromptSubmit` | Searches relevant memories before each message |
+| **Pre-tool** | `PreToolUse` | Blocks MEMORY.md writes, enforces `user_id`/`app_id` on mem0 tool calls |
+| **Post-tool** | `PostToolUse` | Tracks stats, scans bash errors for related memories |
+| **Pre-compact** | `PreCompact` | Stores a session summary before context compaction |
 
 ## Example Workflow
 
@@ -206,14 +135,10 @@ You: Add WebSocket support for real-time notification delivery.
 
 ## 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
-- **Duplicate `mem0` MCP server / "tool collision" errors** — You combined Option A (Direct MCP) with Option B (sideload). The sideloaded plugin auto-registers `mem0` from `.codex-mcp.json`, so remove the `[mcp_servers.mem0]` block from `~/.codex/config.toml`.
-- **`plugin/read failed in TUI`** — Codex can't find the plugin directory the marketplace points at. If you used `codex plugin marketplace add <path>`, confirm the path is your clone root and that `<clone>/.agents/plugins/marketplace.json` exists. If you hand-authored `~/.agents/plugins/marketplace.json`, `source.path` must be relative (start with `./`), inside the marketplace root (`~/` for personal installs), and end in `mem0-plugin` — e.g. `"./codex-plugins/mem0-source/mem0-plugin"`.
-- **Plugin not found in `/plugins`** — Run `codex plugin marketplace add ~/path/to/clone` again, or confirm the marketplace was registered with `codex plugin marketplace remove mem0-plugins` then re-add.
-- **Skills not loading** — Verify the `skills` field in `plugin.json` points to a valid directory containing `SKILL.md` files.
-- **Hooks not firing** — Confirm `codex_hooks = true` is in `~/.codex/config.toml` under `[features]`, and that `~/.codex/hooks.json` contains the Mem0 entries (re-run the installer if not). Restart Codex after enabling the flag.
-- **Hooks broke after moving the clone** — The installer bakes absolute paths into `~/.codex/hooks.json` pointing at scripts inside your clone. If you moved or renamed the clone directory, run `python3 <new-clone>/mem0-plugin/scripts/install_codex_hooks.py` from the new location — the installer is idempotent and replaces the old entries.
+- **"Connection failed"** — Verify `MEM0_API_KEY` is set: `echo $MEM0_API_KEY`
+- **No tools appearing** — Restart your Codex session after installation
+- **Duplicate `mem0` MCP / "tool collision" errors** — You combined Option A with Option B. Remove the `[mcp_servers.mem0]` block from `~/.codex/config.toml`; the plugin registers it automatically
+- **Hooks not firing** — Ensure the plugin is installed via the marketplace (Option A). MCP-only installs do not include hooks
 
 <CardGroup cols={2}>
   <Card title="Mem0 MCP Setup" icon="puzzle-piece" href="/platform/mem0-mcp">

docs/integrations/cursor.mdx

@@ -5,13 +5,6 @@ description: "Add persistent memory to Cursor with the Mem0 plugin — MCP serve
 
 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:
@@ -22,12 +15,20 @@ Before setting up Mem0 with Cursor, ensure you have:
 
 2. Cursor installed ([cursor.com](https://cursor.com))
 
-3. Your API key exported in your shell:
+3. Your API key added to your shell profile (persists across sessions):
 
-```bash
-export MEM0_API_KEY="m0-your-api-key"
+<CodeGroup>
+```bash zsh
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.zshrc
+source ~/.zshrc
 ```
 
+```bash bash
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc
+source ~/.bashrc
+```
+</CodeGroup>
+
 <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>
@@ -103,14 +104,13 @@ Once installed, the following tools are available in every Cursor session:
 
 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.
+| Hook | Event | What it does |
+|------|-------|-------------|
+| **Session start** | `sessionStart` | Loads prior memories and displays status banner |
+| **User prompt** | `beforeSubmitPrompt` | Searches relevant memories before each message; skips short prompts |
+| **Pre-tool (2 handlers)** | `preToolUse` | Blocks MEMORY.md writes, enforces `user_id`/`app_id` on mem0 tool calls |
+| **Post-tool (2 handlers)** | `postToolUse` | Tracks stats, scans bash errors for related memories |
+| **Pre-compact** | `preCompact` | Stores a session summary before context compaction |
 
 ## Example Workflow
 

docs/integrations/google-ai-adk.mdx

@@ -7,285 +7,338 @@ Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [Google ADK (Agent Dev
 
 ## Overview
 
-1. Store and retrieve memories from Mem0 within Google ADK agents
-2. Multi-agent workflows with shared memory across hierarchies
-3. Retrieve relevant memories from past conversations
-4. Personalized responses based on user history
+In this guide, we'll create a Google ADK agent that:
+1. Uses ADK's native `MemoryService` interface to connect Mem0
+2. Automatically injects relevant memories using ADK's built-in `load_memory` tool
+3. Persists session history to Mem0 after each turn via an after-agent callback
+4. Shares memory seamlessly across multi-agent hierarchies
 
-## Prerequisites
+## Setup and Configuration
 
-Before setting up Mem0 with Google ADK, ensure you have:
+Install the necessary libraries:
 
-1. Installed the required packages:
 ```bash
 pip install google-adk mem0ai python-dotenv
 ```
 
-2. Valid API keys:
+Set up your API keys:
    - <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-google-ai-adk" rel="nofollow">Mem0 API Key</a>
    - Google AI Studio API Key
 
-## Basic Integration Example
-
-The following example demonstrates how to create a Google ADK agent with Mem0 memory integration:
+<Note>Remember to get your API key from <a href="https://app.mem0.ai" rel="nofollow">Mem0 Platform</a> and set up a [Google AI Studio API Key](https://aistudio.google.com/apikey).</Note>
 
 ```python
 import os
-import asyncio
-from google.adk.agents import Agent
-from google.adk.runners import Runner
-from google.adk.sessions import InMemorySessionService
-from google.genai import types
-from mem0 import MemoryClient
 from dotenv import load_dotenv
 
 load_dotenv()
 
-# Set up environment variables
 # os.environ["GOOGLE_API_KEY"] = "your-google-api-key"
 # os.environ["MEM0_API_KEY"] = "your-mem0-api-key"
+```
 
-# Initialize Mem0 client
-mem0 = MemoryClient()
+## Implement Mem0MemoryService
 
-# Define memory function tools
-def search_memory(query: str, user_id: str) -> dict:
-    """Search through past conversations and memories"""
-    # For Platform API, user_id goes in filters
-    filters = {"user_id": user_id}
-    memories = mem0.search(query, filters=filters)
-    if memories.get('results', []):
-        memory_list = memories['results']
-        memory_context = "\n".join([f"- {mem['memory']}" for mem in memory_list])
-        return {"status": "success", "memories": memory_context}
-    return {"status": "no_memories", "message": "No relevant memories found"}
+Create a custom `MemoryService` by implementing ADK's `BaseMemoryService`. Save the following as **`mem0_memory_service.py`**:
 
-def save_memory(content: str, user_id: str) -> dict:
-    """Save important information to memory"""
+```python
+import asyncio
+import os
+from typing import Optional
+from typing_extensions import override
+
+from google.adk.memory.base_memory_service import BaseMemoryService, SearchMemoryResponse
+from google.adk.memory.memory_entry import MemoryEntry
+from google.adk.sessions import Session
+from google.genai.types import Content, Part
+from mem0 import MemoryClient
+
+
+class Mem0MemoryService(BaseMemoryService):
+    """MemoryService implementation backed by the Mem0 Platform."""
+
+    def __init__(self, api_key: Optional[str] = None):
+        super().__init__()
+        api_key = api_key or os.environ.get("MEM0_API_KEY")
+        self._client: Optional[MemoryClient] = MemoryClient(api_key=api_key) if api_key else None
+
+    @override
+    async def search_memory(
+        self, *, app_name: str, user_id: str, query: str
+    ) -> SearchMemoryResponse:
+        """Search for memories relevant to the current user and query."""
+        if not self._client:
+            return SearchMemoryResponse(memories=[])
+
+        try:
+            results = await asyncio.to_thread(
+                self._client.search,
+                query,
+                filters={"AND": [{"user_id": user_id}, {"app_id": app_name}]},
+                top_k=5,
+            )
+
+            entries = []
+            for mem in results.get("results", []):
+                text = mem.get("memory", "")
+                if not text:
+                    continue
+
+                raw_ts = mem.get("created_at") or mem.get("updated_at")
+                entries.append(
+                    MemoryEntry(
+                        content=Content(parts=[Part(text=text)]),
+                        author=mem.get("metadata", {}).get("author", "user"),
+                        timestamp=str(raw_ts) if raw_ts else None,
+                    )
+                )
+
+            return SearchMemoryResponse(memories=entries)
+
+        except Exception as e:
+            print(f"[Mem0MemoryService] search_memory error: {e}")
+            return SearchMemoryResponse(memories=[])
+
+    @override
+    async def add_session_to_memory(self, session: Session) -> None:
+        """Persist a completed ADK session into Mem0."""
+        if not self._client:
+            return
+
+        user_id = session.user_id
+        if not user_id:
+            return
+
+        app_name = getattr(session, "app_name", None)
+
+        try:
+            messages = []
+            for event in session.events:
+                if not (event.content and event.content.parts):
+                    continue
+                role = getattr(event.content, "role", None) or "user"
+                if role == "model":
+                    role = "assistant"
+                elif role not in ("user", "assistant"):
+                    continue
+                text_parts = [
+                    p.text for p in event.content.parts if hasattr(p, "text") and p.text
+                ]
+                if text_parts:
+                    messages.append({"role": role, "content": " ".join(text_parts)})
+
+            if messages:
+                metadata = {"app_id": app_name} if app_name else {}
+                await asyncio.to_thread(
+                    self._client.add, messages, user_id=user_id, metadata=metadata
+                )
+
+        except Exception as e:
+            print(f"[Mem0MemoryService] add_session_to_memory error: {e}")
+```
+
+## Add Auto-Save Callback
+
+This after-agent callback fires at the end of every turn and saves the session to Mem0. Save as **`memory_callbacks.py`**:
+
+```python
+async def save_session_to_memory(callback_context) -> None:
+    """Persist the completed session to Mem0 after each agent turn."""
     try:
-        result = mem0.add([{"role": "user", "content": content}], user_id=user_id)
-        return {"status": "success", "message": "Information saved to memory", "result": result}
+        await callback_context.add_session_to_memory()
+    except ValueError:
+        pass
     except Exception as e:
-        return {"status": "error", "message": f"Failed to save memory: {str(e)}"}
+        print(f"[save_session_to_memory] error: {e}")
+```
 
-# Create agent with memory capabilities
-personal_assistant = Agent(
+## Basic Integration Example
+
+The following example demonstrates creating an ADK agent with automatic Mem0 memory:
+
+```python
+import asyncio
+from google.adk.agents import LlmAgent
+from google.adk.runners import Runner
+from google.adk.sessions import InMemorySessionService
+from google.adk.tools import load_memory
+from google.genai.types import Content, Part
+
+from mem0_memory_service import Mem0MemoryService
+from memory_callbacks import save_session_to_memory
+
+memory_service = Mem0MemoryService()
+session_service = InMemorySessionService()
+
+agent = LlmAgent(
     name="personal_assistant",
     model="gemini-2.0-flash",
-    instruction="""You are a helpful personal assistant with memory capabilities.
-    Use the search_memory function to recall past conversations and user preferences.
-    Use the save_memory function to store important information about the user.
-    Always personalize your responses based on available memory.""",
+    instruction="""You are a helpful personal assistant.
+    Relevant memories from past conversations are provided to you automatically.
+    Use them to personalize your responses.""",
     description="A personal assistant that remembers user preferences and past interactions",
-    tools=[search_memory, save_memory]
+    tools=[load_memory],
+    after_agent_callback=save_session_to_memory,
 )
 
-async def chat_with_agent(user_input: str, user_id: str) -> str:
-    """
-    Handle user input with automatic memory integration.
+runner = Runner(
+    agent=agent,
+    session_service=session_service,
+    memory_service=memory_service,
+    app_name="memory_assistant",
+)
 
-    Args:
-        user_input: The user's message
-        user_id: Unique identifier for the user
 
-    Returns:
-        The agent's response
-    """
-    # Set up session and runner
-    session_service = InMemorySessionService()
+async def chat(user_input: str, user_id: str) -> str:
     session = await session_service.create_session(
         app_name="memory_assistant",
         user_id=user_id,
-        session_id=f"session_{user_id}"
     )
-    runner = Runner(agent=personal_assistant, app_name="memory_assistant", session_service=session_service)
-
-    # Create content and run agent
-    content = types.Content(role='user', parts=[types.Part(text=user_input)])
-    events = runner.run(user_id=user_id, session_id=session.id, new_message=content)
-
-    # Extract final response
-    for event in events:
-        if event.is_final_response():
-            response = event.content.parts[0].text
-
-            return response
-
+    content = Content(role="user", parts=[Part(text=user_input)])
+    async for event in runner.run_async(user_id=user_id, session_id=session.id, new_message=content):
+        if event.is_final_response() and event.content and event.content.parts:
+            return event.content.parts[0].text
     return "No response generated"
 
-# Example usage
+
 if __name__ == "__main__":
-    response = asyncio.run(chat_with_agent(
+    print(asyncio.run(chat(
         "I love Italian food and I'm planning a trip to Rome next month",
-        user_id="alice"
-    ))
-    print(response)
+        user_id="alice",
+    )))
+
+    print(asyncio.run(chat(
+        "Any food recommendations for my trip?",
+        user_id="alice",
+    )))
 ```
 
 ## Multi-Agent Hierarchy with Shared Memory
 
-Create specialized agents in a hierarchy that share memory:
+Because `memory_service` is passed to the `Runner`, every agent in the hierarchy shares the same memory automatically. Only the root coordinator needs the auto-save callback — ADK fires it once when the full turn completes:
 
 ```python
+import asyncio
+from google.adk.agents import LlmAgent
+from google.adk.runners import Runner
+from google.adk.sessions import InMemorySessionService
 from google.adk.tools.agent_tool import AgentTool
+from google.adk.tools import load_memory
+from google.genai.types import Content, Part
 
-# Travel specialist agent
-travel_agent = Agent(
+from mem0_memory_service import Mem0MemoryService
+from memory_callbacks import save_session_to_memory
+
+memory_service = Mem0MemoryService()
+session_service = InMemorySessionService()
+
+travel_agent = LlmAgent(
     name="travel_specialist",
     model="gemini-2.0-flash",
-    instruction="""You are a travel planning specialist. Use search_memory to
-    understand the user's travel preferences and history before making recommendations.
-    After providing advice, use save_memory to save travel-related information.""",
+    instruction="""You are a travel planning specialist.
+    Relevant memories about the user's travel preferences are provided automatically.
+    Use them to make personalized recommendations.""",
     description="Specialist in travel planning and recommendations",
-    tools=[search_memory, save_memory]
+    tools=[load_memory],
 )
 
-# Health advisor agent
-health_agent = Agent(
+health_agent = LlmAgent(
     name="health_advisor",
     model="gemini-2.0-flash",
-    instruction="""You are a health and wellness advisor. Use search_memory to
-    understand the user's health goals and dietary preferences.
-    After providing advice, use save_memory to save health-related information.""",
+    instruction="""You are a health and wellness advisor.
+    Relevant memories about the user's health goals are provided automatically.
+    Use them to give personalized advice.""",
     description="Specialist in health and wellness advice",
-    tools=[search_memory, save_memory]
+    tools=[load_memory],
 )
 
-# Coordinator agent that delegates to specialists
-coordinator_agent = Agent(
+coordinator = LlmAgent(
     name="coordinator",
     model="gemini-2.0-flash",
     instruction="""You are a coordinator that delegates requests to specialist agents.
-    For travel-related questions (trips, hotels, flights, destinations), delegate to the travel specialist.
-    For health-related questions (fitness, diet, wellness, exercise), delegate to the health advisor.
-    Use search_memory to understand the user before delegation.""",
+    For travel-related questions, delegate to the travel specialist.
+    For health-related questions, delegate to the health advisor.
+    Relevant memories about the user are provided automatically.""",
     description="Coordinates requests between specialist agents",
     tools=[
+        load_memory,
         AgentTool(agent=travel_agent, skip_summarization=False),
-        AgentTool(agent=health_agent, skip_summarization=False)
-    ]
+        AgentTool(agent=health_agent, skip_summarization=False),
+    ],
+    after_agent_callback=save_session_to_memory,
 )
 
-def chat_with_specialists(user_input: str, user_id: str) -> str:
-    """
-    Handle user input with specialist agent delegation and memory.
+runner = Runner(
+    agent=coordinator,
+    session_service=session_service,
+    memory_service=memory_service,
+    app_name="specialist_system",
+)
 
-    Args:
-        user_input: The user's message
-        user_id: Unique identifier for the user
 
-    Returns:
-        The specialist agent's response
-    """
-    session_service = InMemorySessionService()
-    session = session_service.create_session(
+async def chat_with_specialists(user_input: str, user_id: str) -> str:
+    session = await session_service.create_session(
         app_name="specialist_system",
         user_id=user_id,
-        session_id=f"session_{user_id}"
     )
-    runner = Runner(agent=coordinator_agent, app_name="specialist_system", session_service=session_service)
-
-    content = types.Content(role='user', parts=[types.Part(text=user_input)])
-    events = runner.run(user_id=user_id, session_id=session.id, new_message=content)
-
-    for event in events:
-        if event.is_final_response():
-            response = event.content.parts[0].text
-
-            # Store the conversation in shared memory
-            conversation = [
-                {"role": "user", "content": user_input},
-                {"role": "assistant", "content": response}
-            ]
-            mem0.add(conversation, user_id=user_id)
-
-            return response
-
+    content = Content(role="user", parts=[Part(text=user_input)])
+    async for event in runner.run_async(user_id=user_id, session_id=session.id, new_message=content):
+        if event.is_final_response() and event.content and event.content.parts:
+            return event.content.parts[0].text
     return "No response generated"
 
-# Example usage
-response = chat_with_specialists("Plan a healthy meal for my Italy trip", user_id="alice")
-print(response)
-```
-
-
-
-## Quick Start Chat Interface
-
-Simple interactive chat with memory and Google ADK:
-
-```python
-def interactive_chat():
-    """Interactive chat interface with memory and ADK"""
-    user_id = input("Enter your user ID: ") or "demo_user"
-    print(f"Chat started for user: {user_id}")
-    print("Type 'quit' to exit")
-    print("=" * 50)
-
-    while True:
-        user_input = input("\nYou: ")
-
-        if user_input.lower() == 'quit':
-            print("Goodbye! Your conversation has been saved to memory.")
-            break
-        else:
-            response = chat_with_specialists(user_input, user_id)
-            print(f"Assistant: {response}")
 
 if __name__ == "__main__":
-    interactive_chat()
+    response = asyncio.run(chat_with_specialists("Plan a healthy meal for my Italy trip", user_id="alice"))
+    print(response)
 ```
 
 ## Key Features
 
-### 1. Memory-Enhanced Function Tools
-- **Function Tools**: Standard Python functions that can search and save memories
-- **Tool Context**: Access to session state and memory through function parameters
-- **Structured Returns**: Dictionary-based returns with status indicators for better LLM understanding
-
-### 2. Multi-Agent Memory Sharing
-- **Agent-as-a-Tool**: Specialists can be called as tools while maintaining shared memory
-- **Hierarchical Delegation**: Coordinator agents route to specialists based on context
-- **Memory Categories**: Store interactions with metadata for better organization
-
-### 3. Flexible Memory Operations
-- **Search Capabilities**: Retrieve relevant memories through conversation history
-- **User Segmentation**: Organize memories by user ID
-- **Memory Management**: Built-in tools for saving and retrieving information
+1. **Automatic Memory Injection**: ADK's built-in `load_memory` tool searches Mem0 at the start of each turn and injects relevant memories directly into the agent context — no prompt instructions needed.
+2. **Automatic Session Saving**: The `save_session_to_memory` callback persists every completed turn to Mem0 without any manual calls.
+3. **Native ADK Integration**: `Mem0MemoryService` implements ADK's `BaseMemoryService` and integrates via the `Runner` — works natively across the entire agent hierarchy.
+4. **User Scoping**: `user_id` is passed automatically from the ADK session context, ensuring memories are always scoped to the correct user.
+5. **Multi-Agent Support**: A single `Mem0MemoryService` instance shared through the `Runner` gives all agents — coordinators and specialists — access to the same user memory.
 
 ## Configuration Options
 
-Customize memory behavior and agent setup:
+### Using Vertex AI
+
+To use Google Cloud Vertex AI instead of AI Studio, set the following environment variables before creating agents:
 
 ```python
-# Configure memory search with filters
-# For Platform API, all filters including user_id go in filters object
-memories = mem0.search(
-    query="travel preferences",
-    filters={
-        "AND": [
-            {"user_id": "alice"},
-            {"categories": {"contains": "travel"}}
-        ]
-    },
-    top_k=5
-)
-
-# Configure agent with custom model settings
-agent = Agent(
-    name="custom_agent",
-    model="gemini-2.0-flash",  # or use LiteLLM for other models
-    instruction="Custom agent behavior",
-    tools=[memory_tools],
-    # Additional ADK configurations
-)
-
-# Use Google Cloud Vertex AI instead of AI Studio
+import os
 os.environ["GOOGLE_GENAI_USE_VERTEXAI"] = "True"
 os.environ["GOOGLE_CLOUD_PROJECT"] = "your-project-id"
 os.environ["GOOGLE_CLOUD_LOCATION"] = "us-central1"
 ```
 
+### Advanced Memory Filtering
+
+You can customize how memories are searched by modifying `Mem0MemoryService.search_memory`. For example, to filter by category:
+
+```python
+results = await asyncio.to_thread(
+    self._client.search,
+    query,
+    filters={
+        "AND": [
+            {"user_id": user_id},
+            {"app_id": app_name},
+            {"categories": {"contains": "travel"}}
+        ]
+    },
+    top_k=10,
+)
+```
+
+<Note>`InMemorySessionService` stores sessions in memory and is intended for prototyping. For production, use a persistent session service and clean up sessions when they are no longer needed.</Note>
+
+## Conclusion
+
+By implementing `Mem0MemoryService` as an ADK `BaseMemoryService`, you get persistent, user-scoped memory across single agents and complex multi-agent hierarchies with minimal code. Memory injection and session saving happen automatically, keeping your agent prompts clean and your token usage efficient.
+
 <CardGroup cols={2}>
   <Card title="Healthcare Agent Cookbook" icon="heart-pulse" href="/cookbooks/integrations/healthcare-google-adk">
     Build HIPAA-compliant healthcare agents with Google ADK
@@ -294,4 +347,3 @@ os.environ["GOOGLE_CLOUD_LOCATION"] = "us-central1"
     Compare with OpenAI's agent framework
   </Card>
 </CardGroup>
-

docs/integrations/opencode.mdx

@@ -0,0 +1,119 @@
+---
+title: OpenCode
+description: "Add persistent memory to OpenCode with the Mem0 plugin — MCP server, lifecycle hooks, and slash commands."
+---
+
+Add persistent memory to [**OpenCode**](https://opencode.ai) with the Mem0 plugin. Your agent forgets everything between sessions — Mem0 fixes that by storing decisions, preferences, and learnings so they carry over automatically.
+
+## Prerequisites
+
+1. A Mem0 API key (starts with `m0-`):
+   - <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-opencode" rel="nofollow">Get your API key</a> (free sign-up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-opencode" rel="nofollow">app.mem0.ai</a>)
+
+2. Add it to your shell profile so it persists across sessions:
+
+<CodeGroup>
+```bash zsh
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.zshrc && source ~/.zshrc
+```
+
+```bash bash
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc && source ~/.bashrc
+```
+</CodeGroup>
+
+## Installation
+
+### Option A — Plugin Install (Recommended)
+
+```bash
+opencode plugin @mem0/opencode-plugin
+```
+
+
+Or using this command which does the same thing:
+
+
+```bash
+bunx @mem0/opencode-plugin@latest install
+```
+
+
+
+**Or let your agent do it** — paste this into OpenCode:
+
+```
+Install @mem0/opencode-plugin by following https://raw.githubusercontent.com/mem0ai/mem0/main/integrations/mem0-plugin/.opencode-plugin/README.md
+```
+
+All commands auto-add the plugin and MCP server to your `~/.config/opencode/opencode.json`. Restart OpenCode — you get the MCP server, lifecycle hooks, and all `/mem0:` slash commands.
+
+### Option B — MCP Only
+
+If you only need the memory tools without hooks or skills, add this to your `opencode.json` (project-level or global at `~/.config/opencode/opencode.json`):
+
+```json
+{
+  "mcp": {
+    "mem0": {
+      "type": "remote",
+      "url": "https://mcp.mem0.ai/mcp/",
+      "headers": {
+        "Authorization": "Token {env:MEM0_API_KEY}"
+      },
+      "oauth": false
+    }
+  }
+}
+```
+
+## What's Included
+
+| Component | Plugin (A) | MCP Only (B) |
+|-----------|:----------:|:------------:|
+| MCP Server (9 memory tools) | Yes | Yes |
+| Lifecycle Hooks | Yes | No |
+| 16 Slash Commands | Yes | No |
+
+## Available MCP Tools
+
+| 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
+
+The plugin uses the [mem0ai](https://www.npmjs.com/package/mem0ai) TypeScript SDK directly — pure TypeScript, no Python, no shell scripts.
+
+| OpenCode Event | Hook | What happens |
+|----------------|------|-------------|
+| `chat.message` | **Chat message** | Searches prior memories on session start, searches relevant memories before each prompt, auto-captures learnings periodically |
+| `tool.execute.before` | **Pre-tool** | Blocks MEMORY.md writes, injects `user_id`/`app_id` on mem0 tool calls |
+| `tool.execute.after` | **Post-tool** | Tracks stats, scans Bash errors and pre-fetches related error memories |
+| `experimental.chat.system.transform` | **System transform** | Injects memory context (session memories, search results, error lookups) into the system prompt |
+| `experimental.session.compacting` | **Compaction** | Stores session state memory, then injects prior memories into compaction context so nothing is lost |
+| `shell.env` | **Shell env** | Exports `MEM0_USER_ID`, `MEM0_APP_ID`, `MEM0_SESSION_ID`, and `MEM0_BRANCH` to all shell executions |
+
+## Troubleshooting
+
+- **No tools appearing** — Restart OpenCode after installing
+- **"Connection failed"** — Verify your key is set: `echo $MEM0_API_KEY`
+- **Plugin not loading** — Run `opencode plugin @mem0/opencode-plugin` again, then restart
+- **Hooks not firing** — Hooks require the plugin install (Option A). MCP-only installs don't include hooks.
+
+<CardGroup cols={2}>
+  <Card title="Mem0 MCP Setup" icon="puzzle-piece" href="/platform/mem0-mcp">
+    Detailed MCP configuration for all clients
+  </Card>
+  <Card title="Antigravity Integration" icon="google" href="/integrations/antigravity">
+    Add Mem0 memory to Google Antigravity
+  </Card>
+</CardGroup>

docs/integrations/pi-agent.mdx

@@ -0,0 +1,184 @@
+---
+title: Pi Agent
+description: "Add persistent memory to Pi Agent with the Mem0 plugin semantic search, auto-capture, and dream consolidation."
+---
+
+Add persistent memory to [**Pi Agent**](https://pi.dev) with `@mem0/pi-agent-plugin`. Your agent forgets everything between sessions — this plugin fixes that by automatically capturing knowledge from conversations, storing it in Mem0's cloud memory layer, and retrieving relevant context before every response.
+
+## Overview
+
+The plugin provides:
+1. **Auto-capture** — Extracts durable facts from both user and assistant messages automatically
+2. **Semantic recall** — Retrieves relevant memories via the `mem0_memory` tool before each response
+3. **Dream consolidation** — Periodic maintenance: merges duplicates, resolves contradictions, prunes stale entries
+4. **Monorepo-aware scoping** — Uses git root for project detection, consistent across subdirectories
+5. **Confirmation dialogs** — Destructive commands ask before acting via Pi's built-in UI
+6. **8 skills + 8 commands** — Essential memory management from slash commands and agent-guided workflows
+
+## Prerequisites
+
+1. A Mem0 Platform account and API key:
+   - <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-pi-agent" rel="nofollow">Sign up at app.mem0.ai</a>
+   - <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-pi-agent" rel="nofollow">Get your API key</a> (starts with `m0-`)
+
+2. Pi Agent installed ([pi.dev](https://pi.dev))
+
+3. Your API key added to your shell profile:
+
+<CodeGroup>
+```bash zsh
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.zshrc
+source ~/.zshrc
+```
+
+```bash bash
+echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc
+source ~/.bashrc
+```
+</CodeGroup>
+
+## Installation
+
+```bash
+pi install npm:@mem0/pi-agent-plugin
+```
+
+That's it. The extension loads automatically on every Pi session. No config files needed — `MEM0_API_KEY` from your environment is picked up automatically.
+
+<Info>
+  Start a new Pi session and run `/mem0-status` to verify the connection. You should see your user ID, detected project, and memory count.
+</Info>
+
+### Optional Configuration
+
+For advanced settings, create `~/.pi/agent/mem0-config.json`:
+
+```json
+{
+  "apiKey": "m0-your-key-here",
+  "userId": "your-username",
+  "autoCapture": true,
+  "defaultScope": "project",
+  "searchThreshold": 0.3,
+  "dream": {
+    "enabled": true,
+    "auto": true,
+    "minHours": 24,
+    "minSessions": 5,
+    "minMemories": 20
+  }
+}
+```
+
+| Key | Type | Default | Description |
+|-----|------|---------|-------------|
+| `apiKey` | `string` | `$MEM0_API_KEY` | Mem0 API key. Environment variable takes precedence. |
+| `userId` | `string` | `$MEM0_USER_ID` or `"default"` | User identity for memory scoping |
+| `autoCapture` | `boolean` | `true` | Store facts from conversations automatically |
+| `defaultScope` | `string` | `"project"` | Default memory scope: `project`, `session`, or `global` |
+| `searchThreshold` | `number` | `0.3` | Minimum similarity score (0–1) a memory must reach to count as a match for `/mem0-search`, `/mem0-forget`, and `/mem0-pin`, enforced on each result's relevance score. Raise it to be stricter; lower it if relevant results are missed. |
+| `dream.enabled` | `boolean` | `true` | Enable dream consolidation |
+| `dream.auto` | `boolean` | `true` | Auto-trigger dreams when thresholds are met |
+| `dream.minHours` | `number` | `24` | Minimum hours between auto-dreams |
+| `dream.minSessions` | `number` | `5` | Minimum sessions before first auto-dream |
+| `dream.minMemories` | `number` | `20` | Minimum memories before auto-dream triggers |
+
+
+## What's Included
+
+| Component | Description |
+|-----------|-------------|
+| `mem0_memory` tool | Agent-callable tool for search, add, get_all, delete, delete_all |
+| 8 slash commands | Essential memory management from the command line |
+| 8 skills | Guide the agent on how to use each capability |
+| Auto-capture | Extracts and stores facts on every `agent_end` event |
+| System prompt | Appends memory policy to every agent turn |
+| Dream consolidation | Automated memory maintenance with session/time/count gates |
+
+## Agent Tool
+
+The `mem0_memory` tool is registered with Pi and callable by the agent during conversations:
+
+| Action | Required Params | Description |
+|--------|----------------|-------------|
+| `search` | `query` | Semantic search across memories |
+| `add` | `content` | Store a new memory |
+| `get_all` | — | List all memories in scope |
+| `delete` | `memory_id` | Delete a specific memory |
+| `delete_all` | — | Delete all memories in scope |
+
+All actions accept an optional `scope` parameter: `project` (default), `session`, or `global`.
+
+Tool output is truncated to 200 lines / 50KB to prevent context overflow.
+
+## Commands
+
+| Command | Description |
+|---------|-------------|
+| `/mem0-remember <text>` | Store a memory verbatim (no inference) |
+| `/mem0-forget <query>` | Search and delete memories (with confirmation dialog) |
+| `/mem0-search <query>` | Semantic search across memories |
+| `/mem0-tour [scope]` | Browse all memories grouped by category |
+| `/mem0-dream` | Consolidate — merge duplicates, prune stale, resolve contradictions |
+| `/mem0-pin <query>` | Pin a memory to protect from dream pruning (preserves memory ID) |
+| `/mem0-scope <scope>` | Change default scope for this session (project, session, global) |
+| `/mem0-status` | Connection health, identity, and memory count |
+
+## Memory Scopes
+
+Memories are scoped using Mem0's `user_id`, `app_id`, and `run_id` parameters:
+
+| Scope | Filters | Use Case |
+|-------|---------|----------|
+| `project` | user_id + app_id (git root) | **Default.** Project-specific knowledge — decisions, architecture, config |
+| `session` | user_id + app_id + run_id | Ephemeral context for the current session only |
+| `global` | user_id only | All memories across all your projects |
+
+The `app_id` is auto-detected from the git repository root (`git rev-parse --show-toplevel`), so all subdirectories within a monorepo share the same memory pool. Falls back to the working directory name for non-git directories. The `run_id` is derived from Pi's session file path.
+
+## Dream Consolidation
+
+### Confirmation Dialogs
+
+Destructive and mutating commands use Pi's built-in `ctx.ui.confirm()` dialog before acting:
+
+- `/mem0-forget` asks "Delete this memory?" before deleting a single match
+- `/mem0-pin` asks "Pin this memory?" before modifying it
+- Cancelling either operation is always safe — no changes are made
+
+### Pin
+
+`/mem0-pin` uses Mem0's `update()` API to prepend `[PINNED]` to the memory text. This preserves the original memory ID — no add+delete cycle that would lose history or change the UUID.
+
+### Dream Consolidation
+
+The plugin includes automated memory maintenance ("dream") that merges duplicates, resolves contradictions, and prunes stale entries. When enabled, dreams auto-trigger after enough sessions, time, and memories accumulate (configurable via `dream.*` settings). Run `/mem0-dream` to trigger consolidation manually at any time. Pinned memories (via `/mem0-pin`) are protected from pruning.
+
+## Example Workflow
+
+```text
+# Session 1
+You: I prefer dark mode and concise answers.
+# Mem0 auto-captures preferences
+
+# Session 2 (days later)
+You: What do you know about my preferences?
+# Pi retrieves stored memories — no re-explaining needed
+```
+
+## Troubleshooting
+
+- **"No API key found"** — Verify `MEM0_API_KEY` is set: `echo $MEM0_API_KEY`. If empty, add it to your shell profile (see Prerequisites)
+- **Extension not loading** — Check Pi startup output for errors. Run `pi -e ./src/entry.ts` from the plugin directory for verbose output
+- **Memories not capturing** — Verify `autoCapture` is `true` (default). Check `/mem0-status` for connection health
+- **Wrong project detected** — The plugin uses the git repository root as `app_id`. If not in a git repo, it falls back to the working directory name. Run `/mem0-status` to see the detected project
+- **Dream not triggering** — All three gates must pass (time, sessions, memories). Use `/mem0-dream` to force it manually
+
+<CardGroup cols={2}>
+  <Card title="Claude Code Integration" icon="terminal" href="/integrations/claude-code">
+    Add Mem0 memory to Claude Code
+  </Card>
+  <Card title="OpenClaw Integration" icon="plug" href="/integrations/openclaw">
+    Add Mem0 memory to OpenClaw agents
+  </Card>
+</CardGroup>

docs/integrations/vercel-ai-sdk.mdx

@@ -6,25 +6,33 @@ description: "Use the Mem0 AI SDK Provider with Vercel AI SDK for persistent mem
 The [**Mem0 AI SDK Provider**](https://www.npmjs.com/package/@mem0/vercel-ai-provider) is a library developed by **Mem0** to integrate with the Vercel AI SDK. This library brings enhanced AI interaction capabilities to your applications by introducing persistent memory functionality.
 
 <Note type="info">
-  Mem0 AI SDK now supports <strong>Vercel AI SDK V5</strong>.
+  Mem0 AI SDK Provider v3.0.0 supports <strong>Vercel AI SDK v6</strong> (<code>LanguageModelV3</code> / <code>ProviderV3</code>). If you are upgrading from v2.x, see the <a href="https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0">AI SDK v6 migration guide</a>.
 </Note>
 
 ## Overview
 
 1. Offers persistent memory storage for conversational AI
-2. Enables smooth integration with the Vercel AI SDK
-3. Ensures compatibility with multiple LLM providers
+2. Enables smooth integration with the Vercel AI SDK v6
+3. Ensures compatibility with multiple LLM providers (OpenAI, Anthropic, Google, Groq, Cohere)
 4. Supports structured message formats for clarity
 5. Facilitates streaming response capabilities
+6. Attaches Mem0 memories as sources in responses for programmatic access
 
 ## Setup and Configuration
 
-Install the SDK provider using npm:
+Install the SDK provider and AI SDK:
 
 ```bash
-npm install @mem0/vercel-ai-provider
+npm install @mem0/vercel-ai-provider ai@^6
 ```
 
+### Peer Dependencies
+
+`@mem0/vercel-ai-provider` v3.0.0 requires:
+- `ai` v6+ (`^6.0.199`)
+- `@ai-sdk/provider` v3+ (`^3.0.10`)
+- Provider packages at v3+: `@ai-sdk/openai@^3`, `@ai-sdk/anthropic@^3`, `@ai-sdk/google@^3`, `@ai-sdk/groq@^3`, `@ai-sdk/cohere@^3`
+
 ## Getting Started
 
 ### Setting Up Mem0
@@ -41,7 +49,7 @@ npm install @mem0/vercel-ai-provider
       mem0ApiKey: "m0-xxx",
       apiKey: "provider-api-key",
       config: {
-        // Options for LLM Provider
+        // Options for the upstream LLM provider (e.g. baseURL)
       },
       // Optional Mem0 Global Config
       mem0Config: {
@@ -57,154 +65,153 @@ npm install @mem0/vercel-ai-provider
 3. Add Memories to Enhance Context:
 
     ```typescript
-    import { LanguageModelV2Prompt } from "@ai-sdk/provider";
     import { addMemories } from "@mem0/vercel-ai-provider";
 
-    const messages: LanguageModelV2Prompt = [
+    const messages = [
       { role: "user", content: [{ type: "text", text: "I love red cars." }] },
     ];
 
     await addMemories(messages, { user_id: "borat" });
     ```
 
-### Standalone Features:
+### Standalone Features
 
-    ```typescript
-    await addMemories(messages, { user_id: "borat", mem0ApiKey: "m0-xxx" });
-    await retrieveMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx" });
-    await getMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx" });
-    ```
-     > For standalone features, such as `addMemories`, `retrieveMemories`, and `getMemories`, you must either set `MEM0_API_KEY` as an environment variable or pass it directly in the function call.
+```typescript
+await addMemories(messages, { user_id: "borat", mem0ApiKey: "m0-xxx" });
+await retrieveMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx" });
+await getMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx" });
+```
 
-     > `getMemories` will return raw memories in the form of an array of objects, while `retrieveMemories` will return a response in string format with a system prompt ingested with the retrieved memories.
+> For standalone features, such as `addMemories`, `retrieveMemories`, and `getMemories`, you must either set `MEM0_API_KEY` as an environment variable or pass it directly in the function call.
 
-     > `getMemories` returns an array of memory objects.
+> `getMemories` will return raw memories in the form of an array of objects, while `retrieveMemories` will return a response in string format with a system prompt ingested with the retrieved memories.
 
 ### 1. Basic Text Generation with Memory Context
 
-    ```typescript
-    import { generateText } from "ai";
-    import { createMem0 } from "@mem0/vercel-ai-provider";
+```typescript
+import { generateText } from "ai";
+import { createMem0 } from "@mem0/vercel-ai-provider";
 
-    const mem0 = createMem0();
+const mem0 = createMem0();
 
-    const { text } = await generateText({
-      model: mem0("gpt-4-turbo", { user_id: "borat" }),
-      prompt: "Suggest me a good car to buy!",
-    });
-    ```
+const { text } = await generateText({
+  model: mem0("gpt-5-mini", { user_id: "borat" }),
+  prompt: "Suggest me a good car to buy!",
+});
+```
 
 ### 2. Combining OpenAI Provider with Memory Utils
 
-    ```typescript
-    import { generateText } from "ai";
-    import { openai } from "@ai-sdk/openai";
-    import { retrieveMemories } from "@mem0/vercel-ai-provider";
+```typescript
+import { generateText } from "ai";
+import { openai } from "@ai-sdk/openai";
+import { retrieveMemories } from "@mem0/vercel-ai-provider";
 
-    const prompt = "Suggest me a good car to buy.";
-    const memories = await retrieveMemories(prompt, { user_id: "borat" });
+const prompt = "Suggest me a good car to buy.";
+const memories = await retrieveMemories(prompt, { user_id: "borat" });
 
-    const { text } = await generateText({
-      model: openai("gpt-4-turbo"),
-      prompt: prompt,
-      system: memories,
-    });
-    ```
+const { text } = await generateText({
+  model: openai("gpt-5-mini"),
+  prompt: prompt,
+  system: memories,
+});
+```
 
 ### 3. Structured Message Format with Memory
 
-    ```typescript
-    import { generateText } from "ai";
-    import { createMem0 } from "@mem0/vercel-ai-provider";
+```typescript
+import { generateText } from "ai";
+import { createMem0 } from "@mem0/vercel-ai-provider";
 
-    const mem0 = createMem0();
+const mem0 = createMem0();
 
-    const { text } = await generateText({
-      model: mem0("gpt-4-turbo", { user_id: "borat" }),
-      messages: [
-        {
-          role: "user",
-          content: [
-            { type: "text", text: "Suggest me a good car to buy." },
-            { type: "text", text: "Why is it better than the other cars for me?" },
-          ],
-        },
+const { text } = await generateText({
+  model: mem0("gpt-5-mini", { user_id: "borat" }),
+  messages: [
+    {
+      role: "user",
+      content: [
+        { type: "text", text: "Suggest me a good car to buy." },
+        { type: "text", text: "Why is it better than the other cars for me?" },
       ],
-    });
-    ```
+    },
+  ],
+});
+```
 
-### 3. Streaming Responses with Memory Context
+### 4. Streaming Responses with Memory Context
 
-    ```typescript
-    import { streamText } from "ai";
-    import { createMem0 } from "@mem0/vercel-ai-provider";
+```typescript
+import { streamText } from "ai";
+import { createMem0 } from "@mem0/vercel-ai-provider";
 
-    const mem0 = createMem0();
+const mem0 = createMem0();
 
-    const { textStream } = streamText({
-        model: mem0("gpt-4-turbo", {
-            user_id: "borat",
-        }),
-        prompt: "Suggest me a good car to buy! Why is it better than the other cars for me? Give options for every price range.",
-    });
+const { textStream } = streamText({
+  model: mem0("gpt-5-mini", {
+    user_id: "borat",
+  }),
+  prompt: "Suggest me a good car to buy! Why is it better than the other cars for me? Give options for every price range.",
+});
 
-    for await (const textPart of textStream) {
-        process.stdout.write(textPart);
-    }
-    ```
+for await (const textPart of textStream) {
+  process.stdout.write(textPart);
+}
+```
 
-### 4. Generate Responses with Tools Call
+### 5. Generate Responses with Tools Call
 
-    ```typescript
-    import { generateText } from "ai";
-    import { createMem0 } from "@mem0/vercel-ai-provider";
-    import { z } from "zod";
+```typescript
+import { generateText, tool } from "ai";
+import { createMem0 } from "@mem0/vercel-ai-provider";
+import { z } from "zod";
 
-    const mem0 = createMem0({
-      provider: "anthropic",
-      apiKey: "anthropic-api-key",
-      mem0Config: {
-        // Global User ID
-        user_id: "borat"
-      }
-    });
+const mem0 = createMem0({
+  provider: "anthropic",
+  apiKey: "anthropic-api-key",
+  mem0Config: {
+    user_id: "borat"
+  }
+});
 
-    const prompt = "What the temperature in the city that I live in?"
+const result = await generateText({
+  model: mem0('claude-sonnet-4-20250514'),
+  tools: {
+    weather: tool({
+      description: 'Get the weather in a location',
+      parameters: z.object({
+        location: z.string().describe('The location to get the weather for'),
+      }),
+      execute: async ({ location }) => ({
+        location,
+        temperature: 72 + Math.floor(Math.random() * 21) - 10,
+      }),
+    }),
+  },
+  prompt: "What the temperature in the city that I live in?",
+});
 
-    const result = await generateText({
-      model: mem0('claude-3-5-sonnet-20240620'),
-      tools: {
-        weather: tool({
-          description: 'Get the weather in a location',
-          parameters: z.object({
-            location: z.string().describe('The location to get the weather for'),
-          }),
-          execute: async ({ location }) => ({
-            location,
-            temperature: 72 + Math.floor(Math.random() * 21) - 10,
-          }),
-        }),
-      },
-      prompt: prompt,
-    });
+console.log(result);
+```
 
-    console.log(result);
-    ```
+### 6. Get Sources from Memory
 
-### 5. Get sources from memory
+`generateText` and `streamText` responses include Mem0 memories as a source, giving you programmatic access to the memories that influenced the response:
 
 ```typescript
 const { text, sources } = await generateText({
-    model: mem0("gpt-4-turbo"),
-    prompt: "Suggest me a good car to buy!",
+  model: mem0("gpt-5-mini", { user_id: "borat" }),
+  prompt: "Suggest me a good car to buy!",
 });
 
+// sources[0].title === "Mem0 Memories"
+// sources[0].providerMetadata.mem0.memories — array of memory objects
 console.log(sources);
 ```
 
 The same can be done for `streamText` as well.
 
-### 6. File Support with Memory Context
+### 7. File Support with Memory Context
 
 Mem0 AI SDK supports file processing with memory context. Here's an example of analyzing a PDF file:
 
@@ -226,15 +233,11 @@ const mem0 = createMem0({
 });
 
 async function main() {
-  // Read the PDF file
   const filePath = join(process.cwd(), 'my_pdf.pdf');
   const fileBuffer = readFileSync(filePath);
 
-  // Convert the file's arrayBuffer to a Base64 data URL
   const arrayBuffer = fileBuffer.buffer.slice(fileBuffer.byteOffset, fileBuffer.byteOffset + fileBuffer.byteLength);
   const uint8Array = new Uint8Array(arrayBuffer);
-
-  // Convert Uint8Array to an array of characters
   const charArray = Array.from(uint8Array, byte => String.fromCharCode(byte));
   const binaryString = charArray.join('');
   const base64Data = Buffer.from(binaryString, 'binary').toString('base64');
@@ -274,24 +277,56 @@ main();
 
 | Provider | Configuration Value |
 |----------|-------------------|
-| OpenAI | openai |
-| Anthropic | anthropic |
-| Google | google |
-| Groq | groq |
+| OpenAI | `openai` |
+| Anthropic | `anthropic` |
+| Google / Gemini | `google` or `gemini` |
+| Groq | `groq` |
+| Cohere | `cohere` |
 
-> **Note**: You can use `google` as provider for Gemini (Google) models. They are same and internally they use `@ai-sdk/google` package.
+> **Note**: You can use either `google` or `gemini` as the provider value for Google Gemini models. Both map to the `@ai-sdk/google` package internally.
+
+## Configuration Options
+
+### Mem0ConfigSettings
+
+These options can be passed per-request when creating a model instance:
+
+| Option | Type | Description |
+|--------|------|-------------|
+| `user_id` | `string` | User identifier for memory scoping |
+| `agent_id` | `string` | Agent identifier |
+| `app_id` | `string` | Application identifier |
+| `run_id` | `string` | Run/session identifier |
+| `metadata` | `object` | Custom metadata for memories |
+| `filters` | `object` | Filters for memory search |
+| `infer` | `boolean` | Enable inference-based retrieval |
+| `top_k` | `number` | Number of memories to retrieve (default: 10) |
+| `threshold` | `number` | Relevance threshold for search |
+| `rerank` | `boolean` | Enable reranking of results |
+| `page` | `number` | Page number for pagination |
+| `page_size` | `number` | Results per page |
 
 ## Key Features
 
-- `createMem0()`: Initializes a new Mem0 provider instance.
-- `retrieveMemories()`: Retrieves memory context for prompts.
+- `createMem0()`: Initializes a new Mem0 provider instance implementing `ProviderV3`.
+- `retrieveMemories()`: Retrieves memory context for prompts as a formatted system prompt string.
 - `getMemories()`: Get memories from your profile in array format.
 - `addMemories()`: Adds user memories to enhance contextual responses.
 
+## Migrating from v2.x
+
+If you're upgrading from `@mem0/vercel-ai-provider` v2.x:
+
+1. **Upgrade AI SDK**: `npm install ai@^6` and update all `@ai-sdk/*` provider packages to `^3.x`
+2. **Remove deprecated params**: Remove `org_id`, `project_id`, `output_format`, `filter_memories`, `async_mode`, `enable_graph` from your config
+3. **Remove graph memory**: All graph-related options (`enable_graph`, graph prompts) have been removed. Graph memory is now a project-level setting on the Mem0 Platform
+4. **Update imports**: `LanguageModelV2Prompt` is now `LanguageModelV3Prompt` if you import types directly
+
 ## Best Practices
 
 1. **User Identification**: Use a unique `user_id` for consistent memory retrieval.
 2. **Memory Cleanup**: Regularly clean up unused memory data.
+3. **Sources**: Access `result.sources` to inspect which memories influenced the response.
 
     > **Note**: We also have support for `agent_id`, `app_id`, and `run_id`. Refer [Docs](/api-reference/memory/add-memories).