Compare commits

..

55 Commits

Author SHA1 Message Date
Kartik 1112be3e5e chore(release): bump SDK, CLI, and plugin versions (#6800) 2026-08-05 00:16:26 +05:30
pratik 6052252250 fix(ts-sdk): take /v1/ping/ off the request critical path (#6788) 2026-08-04 10:37:50 -07:00
mintlify[bot] deca4bd3a5 SEO & metadata audit: trim Dream page description under 160 chars (#6793)
Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com>
2026-08-04 14:18:56 +00:00
Karthik 4cfcd0241a docs: add Dream feature page (#6689)
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-04 19:45:07 +05:30
Himanshu b54710a3c3 fix(zapier): require user_id on Add Memory (#6790) 2026-08-04 18:49:35 +05:30
Himanshu 4cfa98f626 chore(n8n): route package contact to integrations@mem0.ai (#6791) 2026-08-04 17:39:20 +05:30
Rod Boev b830b99abe fix(ts-oss): strip identity scope from add() metadata (#6377)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-08-04 17:11:50 +05:30
Abhinav Singh 45208feebb fix(memory): stop add() metadata from setting a memory's identity scope (#6656) 2026-08-04 16:46:47 +05:30
Hrushikesh Yadav 3ac9ba4b50 fix(upstash): escape quotes in filter values and validate filter types (#5981) 2026-08-04 15:16:24 +05:30
Himanshu 965140eb19 fix(zapier): add root index.js entry shim so deployed app resolves (#6789) 2026-08-04 12:48:46 +05:30
soumil-rathi 6e6f5b8d59 docs(temporal): clarify feature behavior and usage (#6780)
Co-authored-by: Soumil Rathi <soumilrathi@gmail.com>
2026-08-03 11:42:43 -07:00
Kartik dd54e387de docs(openapi): document limit param and error responses on GET /v1/memories/ (#6779) 2026-08-03 23:56:12 +05:30
Kartik fd32b980b4 docs(openapi): complete parameter and description coverage for current v1 memory routes (#6775) 2026-08-03 23:41:24 +05:30
Kartik 21aae599be feat(cli): remove mem0 version subcommand from md files and fix help --json in the Python CLI (#6773) 2026-08-03 08:59:47 -07:00
Harsh Vardhan Gupta ea6fd3b457 docs: correct add-memories endpoint to /v3/memories/add/ in entity-scoped memory guide (#6774) 2026-08-03 21:05:50 +05:30
Kartik 8ca9a0f2c0 fix: OSS Python SDK hygiene batch, 9 small bug fixes (#6770) 2026-08-03 20:36:28 +05:30
Kartik 5f77d86caf docs: correct openapi.json against live API behavior (#6771) 2026-08-03 20:36:14 +05:30
Abhay Singh 9ef409222f fix(ts-oss/redis): fall back to "*" for empty or all-null filters (#6014) 2026-08-03 20:02:45 +05:30
Kartik c90bdbdce0 feat(cli): Platform option parity across Python and Node CLIs (MEM-5893) (#6696) 2026-08-03 17:10:44 +05:30
Kartik 50bdaaea0c chore: bump versions and update changelog for Python 2.0.15, TypeScript 3.1.3, and plugin releases (#6715) 2026-08-01 20:26:31 +05:30
mintlify[bot] 38e47ac261 Fix grammar & typos: repair broken code fences in Python quickstart (#6709) 2026-07-31 18:17:39 -07:00
Deshraj Yadav d06ea1875c Update docs: Improve getting started section (#6707) 2026-07-31 16:09:00 -07:00
shafdev c2c3a12838 fix: delete_all now drains all pages, not just the first batch (close… (#4872)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-08-01 02:25:19 +05:30
Kartik 07e58c54ae fix: align default model names with SDK defaults (#6704) 2026-08-01 01:30:57 +05:30
Kartik cf3355e2ca fix(reranker): align llm_reranker default model with SDK default (#6703) 2026-08-01 01:04:08 +05:30
tomatotomata 54328ffd97 fix(memory): paginate delete_all across vector store pages (#6636)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-08-01 00:20:37 +05:30
Kartik 29fa41558c fix(vector-stores): Supabase 1000-row cap, RLS init probe, and col_info crash (#6695) 2026-07-31 20:36:41 +05:30
Aari 8d45fb3c9a fix(elasticsearch): set size on KNN search to respect top_k (#5910) 2026-07-31 20:32:27 +05:30
Kartik 760dca6f39 docs(platform): correct 34 audited API discrepancies across platform docs (#6466) 2026-07-30 22:52:42 +05:30
Sudhanva Bharadwaj BM 74f6dc6f0d feat(ts-oss): add Qdrant server-side BM25 keywordSearch() + filter indexes (#5851)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-07-30 15:34:00 +05:30
Abhay Singh bcca72e3f0 fix(ts-oss/together): honor TOGETHER_API_BASE in the embedder (#6572) 2026-07-30 15:29:05 +05:30
Harsh Vardhan Gupta 9c2d6222ce fix(security): patch 32 HIGH + 57 MEDIUM Vanta vulnerabilities across 6 pnpm workspaces (#6639)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-07-30 15:20:13 +05:30
Kartik 790e190486 chore(n8n): release 0.1.1 via CD for npm provenance (#6685) 2026-07-30 13:54:37 +05:30
Himanshu d4869d24ec feat(integrations): n8n community node for Mem0 (#6517)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-07-29 23:03:03 +05:30
Kartik 1ac3aa7256 fix(zapier): raise the add_memory poll budget past the real API latency tail (#6680) 2026-07-29 21:32:22 +05:30
Himanshu e168d48e04 feat(integrations): Zapier app for Mem0 (#6518)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-07-29 20:56:44 +05:30
Kartik ea2ee07586 chore: remove OpenMemory from the monorepo (#6530) 2026-07-29 15:10:32 +05:30
Kartik 540d23d610 docs: serve an unconditioned favicon at the docs domain root (#6649) 2026-07-29 00:07:35 -07:00
Kartik 3274390f82 docs: redirect /integrations/keywords to /integrations/respan (#6648) 2026-07-28 23:57:37 -07:00
Kartik b357a5a1b0 chore(release): Python SDK v2.0.14, TypeScript SDK v3.1.2 (#6589) 2026-07-25 17:51:48 +05:30
Hrushikesh Yadav d653b63fac fix(milvus): guard text field in update() with _has_bm25_schema check (#5705) 2026-07-24 18:27:54 +05:30
Abhay Singh cc4671579f fix(ts-oss/cassandra): apply every operator in a compound field filter (#6511) 2026-07-24 18:26:10 +05:30
Bartok 01afdde3e7 salvage: fix(opensearch) re-raise search errors (credit @yashwanth123 #6477) (#6519)
Co-authored-by: yashwanth123 <yashwanth123@users.noreply.github.com>
2026-07-24 18:19:26 +05:30
Elif Sema Balcioglu d6d89c987b Add Oracle Vector Store Integration (#5358)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-07-23 21:30:01 +05:30
Kartik c2150e8f1a docs: SEO and AEO updates for the memory expiration page (#6535) 2026-07-23 20:46:29 +05:30
microbluey 19c7bb84a2 fix(ts-oss/chroma): stop dropping filter conditions in where-clause translation (#6521) 2026-07-23 20:07:19 +05:30
Abhishek Chauhan e6281ab724 fix(ts-oss): forward responseFormat to Gemini in generateResponse (#6468) 2026-07-23 19:48:33 +05:30
Rod Boev a71d7bdbe3 fix(dashboard): clear the LLM API key on provider change (#6475) 2026-07-23 19:44:54 +05:30
microbluey 56ec7d20f1 fix(vector_stores/opensearch): translate the '*' wildcard to an exists query for every key (#6522) 2026-07-23 19:41:09 +05:30
Abhay Singh ca2abca2b8 fix(ts-oss/milvus): skip '*' wildcard filter values instead of matching literally (#6508) 2026-07-23 00:41:45 +05:30
Abhay Singh 0e582adc6c fix(ts-oss/anthropic): find the text block in no-tools responses (#6506) 2026-07-23 00:40:40 +05:30
Clement Antony 9caffeaa7b fix(ts-sdk): use textLemmatized for BM25 keyword search on Milvus, OpenSearch, and MongoDB (#6497)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-07-23 00:39:18 +05:30
microbluey a58e0586ad fix(vector_stores/opensearch): honor all filter keys instead of a hardcoded identity-key list (#6454)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-07-23 00:24:16 +05:30
microbluey a9cb4bb644 fix(vector_stores/chroma): stop dropping filter conditions in where-clause translation (#6452) 2026-07-23 00:22:10 +05:30
Gyubin Son 7bf84b8d38 fix: drop unused vector column from pgvector get() and list() queries (#6483) 2026-07-23 00:11:40 +05:30
447 changed files with 22140 additions and 24264 deletions
+1 -1
View File
@@ -12,7 +12,7 @@
"name": "mem0",
"source": "./integrations/mem0-plugin",
"description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search to Claude workflows.",
"version": "0.2.13"
"version": "0.2.14"
}
]
}
+1 -1
View File
@@ -12,7 +12,7 @@
"name": "mem0",
"source": "./integrations/mem0-plugin",
"description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search.",
"version": "0.2.13"
"version": "0.2.14"
}
]
}
-4
View File
@@ -17,10 +17,6 @@
"claude code", "opencode", "pi agent", "mem0-plugin",
"cursor plugin", "codex plugin", "editor plugin"
],
"openmemory": [
"openmemory", "open memory", "localhost:8765", "localhost:3000",
"openmemory ui", "openmemory/api", "openmemory/ui"
],
"cli": ["mem0-cli", "@mem0/cli", "npx mem0", "command line"],
"vector-store": [
"pgvector", "pinecone", "chroma", "chromadb", "weaviate",
-4
View File
@@ -23,10 +23,6 @@ rest-api:
- changed-files:
- any-glob-to-any-file: 'server/**'
openmemory:
- changed-files:
- any-glob-to-any-file: 'openmemory/**'
integrations:
- changed-files:
- any-glob-to-any-file: 'integrations/**'
@@ -35,12 +35,6 @@ const cases = [
body: "### 🐛 Describe the bug\n\nI'm using docker compose to deploy a REST API server. When adding memory, I'm unable to set the expiration_date. Is this feature not supported?",
expected: ["rest-api"],
},
{
number: 3444,
title: "Fix: Openmemory run.sh non-existent vector-store route",
body: "### 🐛 Describe the bug\n\n# Vector_store not implemented\nThere is many references to ` ${NEXT_PUBLIC_API_URL}/api/v1/config/mem0/vector_store` in lines 280, 293, 306, 319, 332, 345, 358, and 371. \n```bash\ncurl -fsS -X PUT \"${NEXT_PUBLIC_API_URL}/api/v1/config/mem0/vector_store\" # Line 280 and for each vector store\n```\nBut the api route is not implemented in `api/app/routers/config.py`.\n# Suggested solution\nI would implement `vector_store` route or remove and use `update_configuration` for all config updates. Also Create class with all config keys for vector_store",
expected: ["openmemory"],
},
{
number: 6252,
title: "cursor: on_file_read_cursor.sh ignores auto_search / MEM0_AUTO_SEARCH",
+37
View File
@@ -38,8 +38,11 @@ jobs:
cli_python: ${{ steps.filter.outputs.cli_python }}
cli_node: ${{ steps.filter.outputs.cli_node }}
openclaw: ${{ steps.filter.outputs.openclaw }}
mem0_plugin: ${{ steps.filter.outputs.mem0_plugin }}
opencode_plugin: ${{ steps.filter.outputs.opencode_plugin }}
pi_agent_plugin: ${{ steps.filter.outputs.pi_agent_plugin }}
n8n_nodes_mem0: ${{ steps.filter.outputs.n8n_nodes_mem0 }}
zapier_mem0: ${{ steps.filter.outputs.zapier_mem0 }}
docs_llms_txt: ${{ steps.filter.outputs.docs_llms_txt }}
steps:
- uses: dorny/paths-filter@v3
@@ -71,6 +74,11 @@ jobs:
- 'integrations/openclaw/**'
- '.github/workflows/openclaw-checks.yml'
- '.github/workflows/ci-gate.yml'
mem0_plugin:
- 'integrations/mem0-plugin/**'
- '!integrations/mem0-plugin/.opencode-plugin/**'
- '.github/workflows/mem0-plugin-checks.yml'
- '.github/workflows/ci-gate.yml'
opencode_plugin:
- 'integrations/mem0-plugin/.opencode-plugin/**'
- '.github/workflows/opencode-plugin-checks.yml'
@@ -79,6 +87,13 @@ jobs:
- 'integrations/pi-agent-plugin/**'
- '.github/workflows/pi-agent-plugin-checks.yml'
- '.github/workflows/ci-gate.yml'
n8n_nodes_mem0:
- 'integrations/n8n-nodes-mem0/**'
- '.github/workflows/n8n-nodes-mem0-checks.yml'
zapier_mem0:
- 'integrations/zapier-mem0/**'
- '.github/workflows/zapier-mem0-checks.yml'
- '.github/workflows/ci-gate.yml'
docs_llms_txt:
- 'docs/**/*.mdx'
- 'docs/llms.txt'
@@ -122,6 +137,13 @@ jobs:
uses: ./.github/workflows/openclaw-checks.yml
secrets: inherit
mem0-plugin:
name: Mem0 Plugin
needs: changes
if: needs.changes.outputs.mem0_plugin == 'true'
uses: ./.github/workflows/mem0-plugin-checks.yml
secrets: inherit
opencode-plugin:
name: OpenCode Plugin
needs: changes
@@ -136,6 +158,18 @@ jobs:
uses: ./.github/workflows/pi-agent-plugin-checks.yml
secrets: inherit
n8n-nodes-mem0:
name: n8n Node
needs: changes
if: needs.changes.outputs.n8n_nodes_mem0 == 'true'
uses: ./.github/workflows/n8n-nodes-mem0-checks.yml
zapier-mem0:
name: Zapier App
needs: changes
if: needs.changes.outputs.zapier_mem0 == 'true'
uses: ./.github/workflows/zapier-mem0-checks.yml
secrets: inherit
docs-llms-txt:
name: docs llms.txt
needs: changes
@@ -152,8 +186,11 @@ jobs:
- cli-python
- cli-node
- openclaw
- mem0-plugin
- opencode-plugin
- pi-agent-plugin
- n8n-nodes-mem0
- zapier-mem0
- docs-llms-txt
if: always()
runs-on: ubuntu-latest
+1 -1
View File
@@ -106,7 +106,7 @@ jobs:
run: |
pip install --upgrade pip
pip install -e ".[test,graph,vector_stores,llms,extras]"
pip install ruff
pip install ruff==0.16.0
- name: Run Linting
if: needs.check_changes.outputs.mem0_changed == 'true'
run: make lint
+58
View File
@@ -0,0 +1,58 @@
name: Mem0 Plugin Checks
# On PRs this is invoked by ci-gate.yml (the single required check);
# push-to-main and manual runs remain standalone.
#
# Covers the Python plugin (scripts/ + tests/). The nested .opencode-plugin/
# is a separate package with its own workflow (opencode-plugin-checks.yml).
on:
workflow_dispatch:
push:
branches: [main]
paths:
- 'integrations/mem0-plugin/**'
- '!integrations/mem0-plugin/.opencode-plugin/**'
- '.github/workflows/mem0-plugin-checks.yml'
workflow_call:
jobs:
test:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.10", "3.11", "3.12"]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
working-directory: integrations/mem0-plugin
run: |
pip install -r requirements.txt
pip install pytest
- name: Verify hook entry points are executable
working-directory: integrations/mem0-plugin
run: |
missing=$(find scripts -name '*.sh' ! -name '_*' ! -perm -u+x -print)
if [ -n "$missing" ]; then
echo "Hook entry points must be executable:"
echo "$missing"
exit 1
fi
- name: Check hook manifests are valid JSON
working-directory: integrations/mem0-plugin
run: |
for f in plugin.json mcp_config.json hooks.json hooks/*.json; do
jq empty "$f" || (echo "Invalid JSON: $f" && exit 1)
done
- name: Run tests
working-directory: integrations/mem0-plugin
run: pytest -q
+60
View File
@@ -0,0 +1,60 @@
name: Publish n8n-nodes-mem0 📦 to npm
# Dispatched by release.yml (Release Router) when a release tagged
# n8n-nodes-mem0-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. n8n-nodes-mem0-v0.1.0)'
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 n8n-nodes-mem0 📦 to npm
if: startsWith(inputs.tag, 'n8n-nodes-mem0-v')
runs-on: ubuntu-latest
permissions:
id-token: write
defaults:
run:
working-directory: integrations/n8n-nodes-mem0
steps:
- uses: actions/checkout@v4
with:
ref: ${{ inputs.tag }}
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 9
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
registry-url: 'https://registry.npmjs.org'
cache: 'pnpm'
cache-dependency-path: integrations/n8n-nodes-mem0/pnpm-lock.yaml
- name: Install dependencies
run: pnpm install --frozen-lockfile --ignore-scripts
- name: Build
run: pnpm run build
- name: Publish to npm
run: |
if [ "${{ 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
@@ -0,0 +1,88 @@
name: n8n-nodes-mem0 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/n8n-nodes-mem0/**'
- '.github/workflows/n8n-nodes-mem0-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/n8n-nodes-mem0/pnpm-lock.yaml
- name: Install dependencies
run: cd integrations/n8n-nodes-mem0 && pnpm install --frozen-lockfile --ignore-scripts
- name: Lint
run: cd integrations/n8n-nodes-mem0 && pnpm run lint
test:
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/n8n-nodes-mem0/pnpm-lock.yaml
- name: Install dependencies
run: cd integrations/n8n-nodes-mem0 && pnpm install --frozen-lockfile --ignore-scripts
- name: Run tests
run: cd integrations/n8n-nodes-mem0 && pnpm test
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/n8n-nodes-mem0/pnpm-lock.yaml
- name: Install dependencies
run: cd integrations/n8n-nodes-mem0 && pnpm install --frozen-lockfile --ignore-scripts
- name: Build
run: cd integrations/n8n-nodes-mem0 && pnpm run build
- name: Verify dist output exists
run: |
test -f integrations/n8n-nodes-mem0/dist/nodes/Mem0/Mem0.node.js || (echo "Build output missing: dist/nodes/Mem0/Mem0.node.js" && exit 1)
test -f integrations/n8n-nodes-mem0/dist/credentials/Mem0Api.credentials.js || (echo "Build output missing: dist/credentials/Mem0Api.credentials.js" && exit 1)
test -f integrations/n8n-nodes-mem0/dist/nodes/Mem0/mem0.svg || (echo "Build output missing: dist/nodes/Mem0/mem0.svg" && exit 1)
+1 -1
View File
@@ -27,7 +27,7 @@ jobs:
script: |
const allowed = new Set([
'sdk-python', 'sdk-typescript', 'vector-store', 'plugin',
'rest-api', 'openmemory', 'documentation', 'ci', 'cli', 'integrations',
'rest-api', 'documentation', 'ci', 'cli', 'integrations',
]);
const umbrella = { plugin: 'integrations' };
const { repository } = await github.graphql(
+1
View File
@@ -45,6 +45,7 @@ jobs:
openclaw-v*) workflow="openclaw-cd.yml" ;;
opencode-v*) workflow="opencode-plugin-cd.yml" ;;
pi-agent-v*) workflow="pi-agent-plugin-cd.yml" ;;
n8n-nodes-mem0-v*) workflow="n8n-nodes-mem0-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."
+42
View File
@@ -0,0 +1,42 @@
name: Deploy zapier-mem0 to Zapier
# Zapier apps deploy to Zapier's own platform (not npm), so this is NOT wired
# into the npm release router (release.yml). It is manual workflow_dispatch
# only and requires the ZAPIER_DEPLOY_KEY repo secret.
#
# gh workflow run zapier-mem0-cd.yml --ref main
on:
workflow_dispatch:
jobs:
push:
name: Push zapier-mem0 to Zapier
runs-on: ubuntu-latest
defaults:
run:
working-directory: integrations/zapier-mem0
steps:
- uses: actions/checkout@v4
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 9
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: 22
cache: 'pnpm'
cache-dependency-path: integrations/zapier-mem0/pnpm-lock.yaml
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Build TypeScript
run: pnpm build
- name: Push to Zapier
env:
ZAPIER_DEPLOY_KEY: ${{ secrets.ZAPIER_DEPLOY_KEY }}
run: npx zapier-platform-cli@19 push
+47
View File
@@ -0,0 +1,47 @@
name: zapier-mem0 checks
# On PRs this is invoked by ci-gate.yml (the single required check);
# push-to-main and manual runs remain standalone.
#
# CI compiles the TypeScript app, runs `zapier validate` (offline schema + style
# checks) against the build, plus the offline jest unit suite (test/unit.test.ts —
# mocked z.request, no network). The end-to-end jest suite is skipped here because
# it hits the live Mem0 API — it runs locally with MEM0_API_KEY set (see README).
on:
workflow_dispatch:
push:
branches: [main]
paths:
- 'integrations/zapier-mem0/**'
- '.github/workflows/zapier-mem0-checks.yml'
workflow_call:
jobs:
validate:
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: 22
cache: 'pnpm'
cache-dependency-path: integrations/zapier-mem0/pnpm-lock.yaml
- name: Install dependencies
run: cd integrations/zapier-mem0 && pnpm install --frozen-lockfile
- name: Build TypeScript
run: cd integrations/zapier-mem0 && pnpm build
- name: Validate Zapier app definition
run: cd integrations/zapier-mem0 && npx zapier-platform-cli@19 validate
- name: Run offline unit tests
run: cd integrations/zapier-mem0 && pnpm test:unit
+9 -28
View File
@@ -27,8 +27,9 @@ This is a **polyglot monorepo** containing Python and TypeScript packages, CLIs,
| `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 |
| `integrations/n8n-nodes-mem0/` | `@mem0/n8n-nodes-mem0` — n8n community node; add / search / get / update / delete memories |
| `integrations/zapier-mem0/` | `@mem0/zapier` — Zapier Platform CLI app (deploys to Zapier, not npm); add / search / get / delete memories |
| `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) |
| `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) |
@@ -62,7 +63,7 @@ integrations/openclaw/ ──▶ mem0ai (npm)
- **Node.js**: v18+ (v20 or v22 recommended)
- **pnpm**: v10+ (`npm install -g pnpm@10`) — used for all TypeScript packages
- **Hatch**: Python build/environment tool (`pip install hatch`)
- **Docker**: Required for `server/` and `openmemory/` development
- **Docker**: Required for `server/` development
### Initial Setup
@@ -214,28 +215,6 @@ docker-compose up # starts all 3 services
- **Services:** PostgreSQL with pgvector, Neo4j 5.x with APOC plugin
- **Hot reload:** Dev Dockerfile mounts `server/` and `mem0/` for live changes
### OpenMemory (`openmemory/`)
```bash
# Full stack via Docker Compose
cd openmemory
docker-compose up
# Qdrant: localhost:6333
# API (MCP): localhost:8765
# UI: localhost:3000
# Individual development
cd openmemory/api && uvicorn main:app --reload # FastAPI backend
cd openmemory/ui && npm run dev # Next.js frontend
# Tests
cd openmemory/api && pytest tests/ # API tests (e.g., test_mcp_server.py)
```
- **API:** FastAPI + Alembic (DB migrations) + MCP server (Model Context Protocol)
- **UI:** Next.js 15, React 19, Radix UI, Redux Toolkit, TailwindCSS, Recharts
- **Vector store:** Qdrant
### Documentation (`docs/`)
```bash
@@ -331,7 +310,6 @@ python -m benchmarks.beam.run --project-name my-test --backend cloud --mem0-api-
- 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 `openmemory/` from root config.
### TypeScript Conventions
@@ -382,7 +360,6 @@ Optional layer on top of vector memory for relationship-aware retrieval. Configu
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 `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
@@ -429,8 +406,11 @@ PR testing is orchestrated by a single entry point: **`ci-gate.yml` (CI Gate)**
| 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 |
| Mem0 Plugin | `mem0-plugin-checks.yml` | Push to main (on `integrations/mem0-plugin/`, excluding `.opencode-plugin/`), manual | pytest + hook entry-point exec bits + JSON manifest validation on Python 3.10, 3.11, 3.12 |
| 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 |
| n8n Node | `n8n-nodes-mem0-checks.yml` | Push to main (on `integrations/n8n-nodes-mem0/`), manual | ESLint (n8n-nodes-base) + tsc build (dist artifact check) on Node 20 |
| Zapier App | `zapier-mem0-checks.yml` | Push to main (on `integrations/zapier-mem0/`), manual | build (tsc) + `zapier validate` + offline unit tests on Node 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.
@@ -450,11 +430,13 @@ Publishing is routed through a single entry point: **`release.yml` (Release Rout
| 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`) |
| n8n Node | `n8n-nodes-mem0-cd.yml` | `n8n-nodes-mem0-v*` | npm (`@mem0/n8n-nodes-mem0`) |
- 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>`.
- The **Zapier app** (`integrations/zapier-mem0`) deploys to Zapier's own platform, not npm, so it is **not** in the release router. Deploy it manually: `gh workflow run zapier-mem0-cd.yml --ref main` (requires the `ZAPIER_DEPLOY_KEY` secret).
- 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
@@ -585,7 +567,7 @@ N/A
- Follow existing code patterns — don't introduce new frameworks or abstractions without discussion.
- Version bumps go in `pyproject.toml` (Python) or `package.json` (TypeScript).
- For `server/` and `openmemory/` work, use Docker Compose for local development.
- For `server/` work, use Docker Compose for local development.
- Do NOT use `pip` or `conda` for dependency management — use `hatch` (see `docs/contributing/development.mdx`).
### Contributing Guides
@@ -608,5 +590,4 @@ N/A
- Use npm or yarn in TypeScript packages — this repo uses pnpm exclusively.
- Use `require()` for imports in TypeScript — use ES module `import` syntax.
- Mix up linter configs: root Python SDK uses line-length 120, Python CLI uses 100, Node CLI uses Biome (not ESLint/Ruff).
- Modify `openmemory/` database migrations without understanding the Alembic migration chain.
- Change public APIs without updating documentation in `docs/`.
+1 -1
View File
@@ -45,7 +45,7 @@ The two most common contribution targets are the SDKs:
| TypeScript SDK (`mem0ai`) | `mem0-ts/` | TypeScript | `pnpm` |
Other packages include the CLIs (`cli/python/`, `cli/node/`), integrations
(`integrations/`), the self-hosted `server/`, `openmemory/`, and the docs site
(`integrations/`), the self-hosted `server/`, and the docs site
(`docs/`). See [AGENTS.md](./AGENTS.md) for a full map of the repository.
## Development Workflow
+1 -1
View File
@@ -11,7 +11,7 @@ install:
hatch env create
install_all:
pip install ruff==0.6.9 groq together boto3 litellm ollama chromadb weaviate weaviate-client sentence_transformers vertexai \
pip install ruff==0.16.0 groq together boto3 litellm ollama chromadb weaviate weaviate-client sentence_transformers vertexai \
google-generativeai elasticsearch opensearch-py vecs "pinecone<7.0.0" pinecone-text faiss-cpu langchain-community \
upstash-vector azure-search-documents langchain-memgraph langchain-neo4j langchain-aws rank-bm25 pymochow pymongo psycopg kuzu databricks-sdk valkey
+1 -1
View File
@@ -21,7 +21,7 @@ privately through one of the following channels:
To help us triage and resolve the issue quickly, please include as much of the
following as you can:
- Affected component or package (e.g. Python SDK, TypeScript SDK, server, OpenMemory)
- Affected component or package (e.g. Python SDK, TypeScript SDK, server, CLI)
- Affected version, tag, or commit
- Clear, step-by-step reproduction instructions
- The security impact and a proof of concept, if available
+1 -2
View File
@@ -60,9 +60,8 @@ mem0 delete <memory-id>
| `mem0 entity` | List or delete entities (users, agents, apps, runs) |
| `mem0 event` | Inspect background processing events (bulk deletes, large add jobs) |
| `mem0 status` | Verify API connection and display current project |
| `mem0 version` | Print the CLI version |
Run `mem0 <command> --help` for detailed usage on any command.
Run `mem0 <command> --help` for detailed usage on any command, or `mem0 --version` to print the CLI version.
## Agent mode
+13 -1
View File
@@ -207,7 +207,11 @@
{ "name": "immutable", "flags": ["--immutable"], "type": "boolean", "default": false, "help": "Prevent future updates." },
{ "name": "no_infer", "flags": ["--no-infer"], "type": "boolean", "default": false, "help": "Skip inference, store raw." },
{ "name": "expires", "flags": ["--expires"], "type": "string", "help": "Expiration date (YYYY-MM-DD)." },
{ "name": "categories", "flags": ["--categories"], "type": "string", "help": "Categories (JSON array or comma-separated)." },
{ "name": "categories", "flags": ["--categories"], "type": "string", "help": "Not supported on add, use --custom-categories instead." },
{ "name": "custom_instructions", "flags": ["--custom-instructions"], "type": "string", "help": "Custom instructions for fact extraction." },
{ "name": "custom_categories", "flags": ["--custom-categories"], "type": "string", "help": "Custom categories as a JSON array of {name: description} objects." },
{ "name": "structured_data_schema", "flags": ["--structured-data-schema"], "type": "string", "help": "Schema for structured data extraction, as JSON." },
{ "name": "timestamp", "flags": ["--timestamp"], "type": "integer", "help": "Unix timestamp for the memory." },
{ "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph memory extraction.", "panel": "Scope" },
{ "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph memory extraction.", "panel": "Scope" },
{ "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output format: text, json, quiet.", "panel": "Output" }
@@ -244,6 +248,9 @@
{ "name": "keyword", "flags": ["--keyword"], "type": "boolean", "default": false, "help": "Use keyword search.", "panel": "Search" },
{ "name": "filter_json", "flags": ["--filter"], "type": "string", "help": "Advanced filter expression (JSON).", "panel": "Search" },
{ "name": "fields", "flags": ["--fields"], "type": "string", "help": "Specific fields to return (comma-separated).", "panel": "Search" },
{ "name": "show_expired", "flags": ["--show-expired"], "type": "boolean", "default": false, "help": "Include expired memories.", "panel": "Search" },
{ "name": "reference_date", "flags": ["--reference-date"], "type": "string", "help": "Reference date for relative queries (YYYY-MM-DD or unix timestamp).", "panel": "Search" },
{ "name": "latest_only", "flags": ["--latest-only"], "type": "boolean", "default": false, "help": "Only return the latest version of each memory.", "panel": "Search" },
{ "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph in search.", "panel": "Search" },
{ "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph in search.", "panel": "Search" },
{ "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json, table.", "panel": "Output" }
@@ -296,6 +303,8 @@
{ "name": "category", "flags": ["--category"], "type": "string", "help": "Filter by category.", "panel": "Filters" },
{ "name": "after", "flags": ["--after"], "type": "string", "help": "Created after (YYYY-MM-DD).", "panel": "Filters" },
{ "name": "before", "flags": ["--before"], "type": "string", "help": "Created before (YYYY-MM-DD).", "panel": "Filters" },
{ "name": "show_expired", "flags": ["--show-expired"], "type": "boolean", "default": false, "help": "Include expired memories.", "panel": "Filters" },
{ "name": "latest_only", "flags": ["--latest-only"], "type": "boolean", "default": false, "help": "Only return the latest version of each memory.", "panel": "Filters" },
{ "name": "graph", "flags": ["--graph"], "type": "boolean", "default": false, "help": "Enable graph in listing.", "panel": "Filters" },
{ "name": "no_graph", "flags": ["--no-graph"], "type": "boolean", "default": false, "help": "Disable graph in listing.", "panel": "Filters" },
{ "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "table", "help": "Output: text, json, table.", "panel": "Output" }
@@ -329,6 +338,8 @@
],
"options": [
{ "name": "metadata", "flags": ["--metadata", "-m"], "type": "string", "help": "Update metadata (JSON)." },
{ "name": "expires", "flags": ["--expires"], "type": "string", "help": "Expiration date (YYYY-MM-DD)." },
{ "name": "timestamp", "flags": ["--timestamp"], "type": "integer", "help": "Unix timestamp for the memory." },
{ "name": "output", "flags": ["--output", "-o"], "type": "string", "default": "text", "help": "Output: text, json, quiet.", "panel": "Output" }
],
"apiEndpoint": "update"
@@ -356,6 +367,7 @@
{ "name": "all", "flags": ["--all"], "type": "boolean", "default": false, "help": "Delete all memories matching scope filters." },
{ "name": "entity", "flags": ["--entity"], "type": "boolean", "default": false, "help": "Delete the entity itself and all its memories (cascade)." },
{ "name": "project", "flags": ["--project"], "type": "boolean", "default": false, "help": "With --all: delete ALL memories project-wide." },
{ "name": "delete_linked", "flags": ["--delete-linked"], "type": "boolean", "default": false, "help": "Also delete memories linked to this memory." },
{ "name": "dry_run", "flags": ["--dry-run"], "type": "boolean", "default": false, "help": "Show what would be deleted without deleting." },
{ "name": "force", "flags": ["--force"], "type": "boolean", "default": false, "help": "Skip confirmation." },
{ "name": "user_id", "flags": ["--user-id", "-u"], "type": "string", "help": "Scope to user.", "panel": "Scope" },
+2 -8
View File
@@ -232,14 +232,6 @@ Verify your API connection and display the current project.
mem0 status
```
### `mem0 version`
Print the CLI version.
```bash
mem0 version
```
## Agent mode
Pass `--agent` (or its alias `--json`) as a **global flag** on any command to get output designed for AI agent tool loops:
@@ -298,6 +290,8 @@ These flags are available on all commands:
| `--base-url` | Override the configured API base URL for this request |
| `-o, --output` | Set the output format |
`mem0 --version` prints the CLI version. It is only valid before a subcommand, not after one.
## Environment variables
| Variable | Description |
+1 -1
View File
@@ -51,7 +51,7 @@ pnpm link --global
# Now use it like a normal CLI
mem0 --help
mem0 version
mem0 --version
```
> **Warning:** If you also have the Python CLI installed, both register the `mem0` command. The last one linked/installed wins. Unlink with `pnpm unlink --global`.
+3 -3
View File
@@ -1,6 +1,6 @@
{
"name": "@mem0/cli",
"version": "0.2.11",
"version": "0.2.12",
"description": "The official CLI for mem0 — the memory layer for AI agents",
"type": "module",
"bin": {
@@ -51,8 +51,8 @@
"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",
"esbuild": ">=0.28.1"
"esbuild": ">=0.28.1",
"postcss@<8.5.18": ">=8.5.18 <9.0.0"
}
}
}
+34 -17
View File
@@ -9,8 +9,8 @@ overrides:
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'
esbuild: '>=0.28.1'
postcss@<8.5.18: '>=8.5.18 <9.0.0'
importers:
@@ -40,7 +40,7 @@ importers:
version: 20.19.37
tsup:
specifier: ^8.0.0
version: 8.5.1(postcss@8.5.15)(tsx@4.21.0)(typescript@5.9.3)
version: 8.5.1(postcss@8.5.23)(tsx@4.21.0)(typescript@5.9.3)
tsx:
specifier: ^4.7.0
version: 4.21.0
@@ -78,24 +78,28 @@ packages:
engines: {node: '>=14.21.3'}
cpu: [arm64]
os: [linux]
libc: [musl]
'@biomejs/cli-linux-arm64@1.9.4':
resolution: {integrity: sha512-fJIW0+LYujdjUgJJuwesP4EjIBl/N/TcOX3IvIHJQNsAqvV2CHIogsmA94BPG6jZATS4Hi+xv4SkBBQSt1N4/g==}
engines: {node: '>=14.21.3'}
cpu: [arm64]
os: [linux]
libc: [glibc]
'@biomejs/cli-linux-x64-musl@1.9.4':
resolution: {integrity: sha512-gEhi/jSBhZ2m6wjV530Yy8+fNqG8PAinM3oV7CyO+6c3CEh16Eizm21uHVsyVBEB6RIM8JHIl6AGYCv6Q6Q9Tg==}
engines: {node: '>=14.21.3'}
cpu: [x64]
os: [linux]
libc: [musl]
'@biomejs/cli-linux-x64@1.9.4':
resolution: {integrity: sha512-lRCJv/Vi3Vlwmbd6K+oQ0KhLHMAysN8lXoCI7XeHlxaajk06u7G+UsFSO01NAs5iYuWKmVZjmiOzJ0OJmGsMwg==}
engines: {node: '>=14.21.3'}
cpu: [x64]
os: [linux]
libc: [glibc]
'@biomejs/cli-win32-arm64@1.9.4':
resolution: {integrity: sha512-tlbhLk+WXZmgwoIKwHIHEBZUwxml7bRJgk0X2sPyNR3S93cdRq6XulAZRQJ17FYGGzWne0fgrXBKpl7l4M87Hg==}
@@ -316,66 +320,79 @@ packages:
resolution: {integrity: sha512-RzeBwv0B3qtVBWtcuABtSuCzToo2IEAIQrcyB/b2zMvBWVbjo8bZDjACUpnaafaxhTw2W+imQbP2BD1usasK4g==}
cpu: [arm]
os: [linux]
libc: [glibc]
'@rollup/rollup-linux-arm-musleabihf@4.60.0':
resolution: {integrity: sha512-Sf7zusNI2CIU1HLzuu9Tc5YGAHEZs5Lu7N1ssJG4Tkw6e0MEsN7NdjUDDfGNHy2IU+ENyWT+L2obgWiguWibWQ==}
cpu: [arm]
os: [linux]
libc: [musl]
'@rollup/rollup-linux-arm64-gnu@4.60.0':
resolution: {integrity: sha512-DX2x7CMcrJzsE91q7/O02IJQ5/aLkVtYFryqCjduJhUfGKG6yJV8hxaw8pZa93lLEpPTP/ohdN4wFz7yp/ry9A==}
cpu: [arm64]
os: [linux]
libc: [glibc]
'@rollup/rollup-linux-arm64-musl@4.60.0':
resolution: {integrity: sha512-09EL+yFVbJZlhcQfShpswwRZ0Rg+z/CsSELFCnPt3iK+iqwGsI4zht3secj5vLEs957QvFFXnzAT0FFPIxSrkQ==}
cpu: [arm64]
os: [linux]
libc: [musl]
'@rollup/rollup-linux-loong64-gnu@4.60.0':
resolution: {integrity: sha512-i9IcCMPr3EXm8EQg5jnja0Zyc1iFxJjZWlb4wr7U2Wx/GrddOuEafxRdMPRYVaXjgbhvqalp6np07hN1w9kAKw==}
cpu: [loong64]
os: [linux]
libc: [glibc]
'@rollup/rollup-linux-loong64-musl@4.60.0':
resolution: {integrity: sha512-DGzdJK9kyJ+B78MCkWeGnpXJ91tK/iKA6HwHxF4TAlPIY7GXEvMe8hBFRgdrR9Ly4qebR/7gfUs9y2IoaVEyog==}
cpu: [loong64]
os: [linux]
libc: [musl]
'@rollup/rollup-linux-ppc64-gnu@4.60.0':
resolution: {integrity: sha512-RwpnLsqC8qbS8z1H1AxBA1H6qknR4YpPR9w2XX0vo2Sz10miu57PkNcnHVaZkbqyw/kUWfKMI73jhmfi9BRMUQ==}
cpu: [ppc64]
os: [linux]
libc: [glibc]
'@rollup/rollup-linux-ppc64-musl@4.60.0':
resolution: {integrity: sha512-Z8pPf54Ly3aqtdWC3G4rFigZgNvd+qJlOE52fmko3KST9SoGfAdSRCwyoyG05q1HrrAblLbk1/PSIV+80/pxLg==}
cpu: [ppc64]
os: [linux]
libc: [musl]
'@rollup/rollup-linux-riscv64-gnu@4.60.0':
resolution: {integrity: sha512-3a3qQustp3COCGvnP4SvrMHnPQ9d1vzCakQVRTliaz8cIp/wULGjiGpbcqrkv0WrHTEp8bQD/B3HBjzujVWLOA==}
cpu: [riscv64]
os: [linux]
libc: [glibc]
'@rollup/rollup-linux-riscv64-musl@4.60.0':
resolution: {integrity: sha512-pjZDsVH/1VsghMJ2/kAaxt6dL0psT6ZexQVrijczOf+PeP2BUqTHYejk3l6TlPRydggINOeNRhvpLa0AYpCWSQ==}
cpu: [riscv64]
os: [linux]
libc: [musl]
'@rollup/rollup-linux-s390x-gnu@4.60.0':
resolution: {integrity: sha512-3ObQs0BhvPgiUVZrN7gqCSvmFuMWvWvsjG5ayJ3Lraqv+2KhOsp+pUbigqbeWqueGIsnn+09HBw27rJ+gYK4VQ==}
cpu: [s390x]
os: [linux]
libc: [glibc]
'@rollup/rollup-linux-x64-gnu@4.60.0':
resolution: {integrity: sha512-EtylprDtQPdS5rXvAayrNDYoJhIz1/vzN2fEubo3yLE7tfAw+948dO0g4M0vkTVFhKojnF+n6C8bDNe+gDRdTg==}
cpu: [x64]
os: [linux]
libc: [glibc]
'@rollup/rollup-linux-x64-musl@4.60.0':
resolution: {integrity: sha512-k09oiRCi/bHU9UVFqD17r3eJR9bn03TyKraCrlz5ULFJGdJGi7VOmm9jl44vOJvRJ6P7WuBi/s2A97LxxHGIdw==}
cpu: [x64]
os: [linux]
libc: [musl]
'@rollup/rollup-openbsd-x64@4.60.0':
resolution: {integrity: sha512-1o/0/pIhozoSaDJoDcec+IVLbnRtQmHwPV730+AOD29lHEEo4F5BEUB24H0OBdhbBBDwIOSuf7vgg0Ywxdfiiw==}
@@ -653,8 +670,8 @@ packages:
mz@2.7.0:
resolution: {integrity: sha512-z81GNO7nnYMEhrGh9LeymoE4+Yr0Wn5McHIZMK5cfQCl+NDX08sCZgUc9/6MHni9IWuFLm1Z3HTCXu2z9fN62Q==}
nanoid@3.3.12:
resolution: {integrity: sha512-ZB9RH/39qpq5Vu6Y+NmUaFhQR6pp+M2Xt76XBnEwDaGcVAqhlvxrl3B2bKS5D3NH3QR76v3aSrKaF/Kiy7lEtQ==}
nanoid@3.3.16:
resolution: {integrity: sha512-bzlKTyNJ7+LdGIIwy8ijFpIqEQIvafahV7eYykJ8Cvh42EdJeODoJ6gUJXpQJvej1BddH8OqTXZNE/KfbWAu8Q==}
engines: {node: ^10 || ^12 || ^13.7 || ^14 || >=15.0.1}
hasBin: true
@@ -695,7 +712,7 @@ packages:
engines: {node: '>= 18'}
peerDependencies:
jiti: '>=1.21.0'
postcss: '>=8.5.10'
postcss: '>=8.5.18 <9.0.0'
tsx: ^4.8.1
yaml: ^2.4.2
peerDependenciesMeta:
@@ -708,8 +725,8 @@ packages:
yaml:
optional: true
postcss@8.5.15:
resolution: {integrity: sha512-FfR8sjd4em2T6fb3I2MwAJU7HWVMr9zba+enmQeeWFfCbm+UOC/0X4DS8XtpUTMwWMGbjKYP7xjfNekzyGmB3A==}
postcss@8.5.23:
resolution: {integrity: sha512-g50586zr4bZmwFiTlflMu8E0bDTb5I5gertgwAKmsdUlTQIhZtunzUlD1WSzwcVWPoAVpsrA6vlfCD7oXvRwgg==}
engines: {node: ^10 || ^12 || >=14}
readdirp@4.1.2:
@@ -821,7 +838,7 @@ packages:
peerDependencies:
'@microsoft/api-extractor': ^7.36.0
'@swc/core': ^1
postcss: '>=8.5.10'
postcss: '>=8.5.18 <9.0.0'
typescript: '>=4.5.0'
peerDependenciesMeta:
'@microsoft/api-extractor':
@@ -1388,7 +1405,7 @@ snapshots:
object-assign: 4.1.1
thenify-all: 1.6.0
nanoid@3.3.12: {}
nanoid@3.3.16: {}
object-assign@4.1.1: {}
@@ -1424,16 +1441,16 @@ snapshots:
mlly: 1.8.2
pathe: 2.0.3
postcss-load-config@6.0.1(postcss@8.5.15)(tsx@4.21.0):
postcss-load-config@6.0.1(postcss@8.5.23)(tsx@4.21.0):
dependencies:
lilconfig: 3.1.3
optionalDependencies:
postcss: 8.5.15
postcss: 8.5.23
tsx: 4.21.0
postcss@8.5.15:
postcss@8.5.23:
dependencies:
nanoid: 3.3.12
nanoid: 3.3.16
picocolors: 1.1.1
source-map-js: 1.2.1
@@ -1554,7 +1571,7 @@ snapshots:
ts-interface-checker@0.1.13: {}
tsup@8.5.1(postcss@8.5.15)(tsx@4.21.0)(typescript@5.9.3):
tsup@8.5.1(postcss@8.5.23)(tsx@4.21.0)(typescript@5.9.3):
dependencies:
bundle-require: 5.1.0(esbuild@0.28.1)
cac: 6.7.14
@@ -1565,7 +1582,7 @@ snapshots:
fix-dts-default-cjs-exports: 1.0.1
joycon: 3.1.1
picocolors: 1.1.1
postcss-load-config: 6.0.1(postcss@8.5.15)(tsx@4.21.0)
postcss-load-config: 6.0.1(postcss@8.5.23)(tsx@4.21.0)
resolve-from: 5.0.0
rollup: 4.60.0
source-map: 0.7.6
@@ -1574,7 +1591,7 @@ snapshots:
tinyglobby: 0.2.15
tree-kill: 1.2.2
optionalDependencies:
postcss: 8.5.15
postcss: 8.5.23
typescript: 5.9.3
transitivePeerDependencies:
- jiti
@@ -1602,7 +1619,7 @@ snapshots:
esbuild: 0.28.1
fdir: 6.5.0(picomatch@4.0.4)
picomatch: 4.0.4
postcss: 8.5.15
postcss: 8.5.23
rollup: 4.60.0
tinyglobby: 0.2.15
optionalDependencies:
+1 -1
View File
@@ -10,5 +10,5 @@ overrides:
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"
"esbuild": ">=0.28.1"
"postcss@<8.5.18": ">=8.5.18 <9.0.0"
+16 -1
View File
@@ -14,7 +14,10 @@ export interface AddOptions {
immutable?: boolean;
infer?: boolean;
expires?: string;
categories?: string[];
customInstructions?: string;
customCategories?: Record<string, string>[];
structuredDataSchema?: Record<string, unknown>;
timestamp?: number;
}
export interface SearchOptions {
@@ -28,6 +31,9 @@ export interface SearchOptions {
keyword?: boolean;
filters?: Record<string, unknown>;
fields?: string[];
showExpired?: boolean;
referenceDate?: string | number;
latestOnly?: boolean;
}
export interface ListOptions {
@@ -40,6 +46,8 @@ export interface ListOptions {
category?: string;
after?: string;
before?: string;
showExpired?: boolean;
latestOnly?: boolean;
}
export interface DeleteOptions {
@@ -48,6 +56,12 @@ export interface DeleteOptions {
agentId?: string;
appId?: string;
runId?: string;
deleteLinked?: boolean;
}
export interface UpdateOptions {
expirationDate?: string;
timestamp?: number;
}
export interface EntityIds {
@@ -77,6 +91,7 @@ export interface Backend {
memoryId: string,
content?: string,
metadata?: Record<string, unknown>,
opts?: UpdateOptions,
): Promise<Record<string, unknown>>;
delete(
+20 -4
View File
@@ -15,6 +15,7 @@ import {
type ListOptions,
NotFoundError,
type SearchOptions,
type UpdateOptions,
} from "./base.js";
function encodePathSegment(value: unknown): string {
@@ -150,7 +151,13 @@ export class PlatformBackend implements Backend {
if (opts.immutable) payload.immutable = true;
if (opts.infer === false) payload.infer = false;
if (opts.expires) payload.expiration_date = opts.expires;
if (opts.categories) payload.categories = opts.categories;
if (opts.customInstructions)
payload.custom_instructions = opts.customInstructions;
if (opts.customCategories)
payload.custom_categories = opts.customCategories;
if (opts.structuredDataSchema)
payload.structured_data_schema = opts.structuredDataSchema;
if (opts.timestamp !== undefined) payload.timestamp = opts.timestamp;
payload.source = "CLI";
return (await this._request("POST", "/v3/memories/add/", {
@@ -211,6 +218,10 @@ export class PlatformBackend implements Backend {
if (opts.rerank) payload.rerank = true;
if (opts.keyword) payload.keyword_search = true;
if (opts.fields) payload.fields = opts.fields;
if (opts.showExpired) payload.show_expired = true;
if (opts.referenceDate !== undefined)
payload.reference_date = opts.referenceDate;
if (opts.latestOnly) payload.latest_only = true;
payload.source = "CLI";
const result = (await this._request("POST", "/v3/memories/search/", {
@@ -265,6 +276,8 @@ export class PlatformBackend implements Backend {
extraFilters: Object.keys(extra).length > 0 ? extra : undefined,
});
if (apiFilters) payload.filters = apiFilters;
if (opts.showExpired) payload.show_expired = true;
if (opts.latestOnly) payload.latest_only = true;
payload.source = "CLI";
const result = (await this._request("POST", "/v3/memories/", {
@@ -280,10 +293,13 @@ export class PlatformBackend implements Backend {
memoryId: string,
content?: string,
metadata?: Record<string, unknown>,
opts: UpdateOptions = {},
): Promise<Record<string, unknown>> {
const payload: Record<string, unknown> = {};
if (content) payload.text = content;
if (metadata) payload.metadata = metadata;
if (opts.expirationDate) payload.expiration_date = opts.expirationDate;
if (opts.timestamp !== undefined) payload.timestamp = opts.timestamp;
payload.source = "CLI";
return (await this._request(
"PUT",
@@ -309,12 +325,12 @@ export class PlatformBackend implements Backend {
})) as Record<string, unknown>;
}
if (memoryId) {
const params: Record<string, string> = { source: "CLI" };
if (opts.deleteLinked) params.delete_linked = "true";
return (await this._request(
"DELETE",
`/v1/memories/${encodePathSegment(memoryId)}/`,
{
params: { source: "CLI" },
},
{ params },
)) as Record<string, unknown>;
}
throw new Error("Either memoryId or --all is required");
+75 -33
View File
@@ -21,16 +21,19 @@ import {
formatSingleMemory,
printResultSummary,
} from "../output.js";
import { isAgentMode, setCurrentCommand } from "../state.js";
import { isAgentMode, setCurrentCommand, stdinIsPiped } from "../state.js";
/** True only when stdin is an actual pipe or file redirect — never in agent mode. */
function _stdinIsPiped(): boolean {
if (isAgentMode()) return false;
try {
const stat = fs.fstatSync(0);
return stat.isFIFO() || stat.isFile();
} catch {
return false;
/** Exit 1 if value is not a future YYYY-MM-DD date. */
function _validateExpires(value: string): void {
if (!/^\d{4}-\d{2}-\d{2}$/.test(value)) {
printError(
"Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31).",
);
process.exit(1);
}
if (new Date(value) <= new Date()) {
printError("--expires date must be in the future.");
process.exit(1);
}
}
@@ -49,10 +52,22 @@ export async function cmdAdd(
infer?: boolean;
expires?: string;
categories?: string;
customInstructions?: string;
customCategories?: string;
structuredDataSchema?: string;
timestamp?: number;
output: string;
},
): Promise<void> {
setCurrentCommand("add");
if (opts.categories) {
printError(
"--categories is not supported on add. Use --custom-categories instead.",
);
process.exit(1);
}
let msgs: Record<string, unknown>[] | undefined;
let content = text;
@@ -78,7 +93,7 @@ export async function cmdAdd(
}
}
// Read from stdin only if stdin is an actual pipe or file redirect
else if (!content && _stdinIsPiped()) {
else if (!content && stdinIsPiped()) {
content = fs.readFileSync(0, "utf-8").trim();
}
@@ -93,20 +108,6 @@ export async function cmdAdd(
process.exit(1);
}
// Validate --expires
if (opts.expires) {
if (!/^\d{4}-\d{2}-\d{2}$/.test(opts.expires)) {
printError(
"Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31).",
);
process.exit(1);
}
if (new Date(opts.expires) <= new Date()) {
printError("--expires date must be in the future.");
process.exit(1);
}
}
let meta: Record<string, unknown> | undefined;
if (opts.metadata) {
try {
@@ -117,15 +118,28 @@ export async function cmdAdd(
}
}
let cats: string[] | undefined;
if (opts.categories) {
let customCats: Record<string, string>[] | undefined;
if (opts.customCategories) {
try {
cats = JSON.parse(opts.categories);
customCats = JSON.parse(opts.customCategories);
} catch {
cats = opts.categories.split(",").map((c) => c.trim());
printError("Invalid JSON in --custom-categories.");
process.exit(1);
}
}
let schema: Record<string, unknown> | undefined;
if (opts.structuredDataSchema) {
try {
schema = JSON.parse(opts.structuredDataSchema);
} catch {
printError("Invalid JSON in --structured-data-schema.");
process.exit(1);
}
}
if (opts.expires) _validateExpires(opts.expires);
let result: Record<string, unknown>;
try {
result = await timedStatus("Adding memory...", async () => {
@@ -138,7 +152,10 @@ export async function cmdAdd(
immutable: opts.immutable,
infer: opts.infer !== false,
expires: opts.expires,
categories: cats,
customInstructions: opts.customInstructions,
customCategories: customCats,
structuredDataSchema: schema,
timestamp: opts.timestamp,
});
});
} catch (e) {
@@ -223,6 +240,9 @@ export async function cmdSearch(
keyword: boolean;
filterJson?: string;
fields?: string;
showExpired?: boolean;
referenceDate?: string;
latestOnly?: boolean;
output: string;
},
): Promise<void> {
@@ -271,6 +291,9 @@ export async function cmdSearch(
keyword: opts.keyword,
filters,
fields: fieldList,
showExpired: opts.showExpired,
referenceDate: opts.referenceDate,
latestOnly: opts.latestOnly,
});
});
} catch (e) {
@@ -364,6 +387,8 @@ export async function cmdList(
category?: string;
after?: string;
before?: string;
showExpired?: boolean;
latestOnly?: boolean;
output: string;
},
): Promise<void> {
@@ -391,6 +416,8 @@ export async function cmdList(
category: opts.category,
after: opts.after,
before: opts.before,
showExpired: opts.showExpired,
latestOnly: opts.latestOnly,
});
});
} catch (e) {
@@ -450,7 +477,12 @@ export async function cmdUpdate(
backend: Backend,
memoryId: string,
text: string | undefined,
opts: { metadata?: string; output: string },
opts: {
metadata?: string;
expires?: string;
timestamp?: number;
output: string;
},
): Promise<void> {
setCurrentCommand("update");
let meta: Record<string, unknown> | undefined;
@@ -463,11 +495,16 @@ export async function cmdUpdate(
}
}
if (opts.expires) _validateExpires(opts.expires);
const start = performance.now();
let result: Record<string, unknown>;
try {
result = await timedStatus("Updating memory...", async () => {
return backend.update(memoryId, text, meta);
return backend.update(memoryId, text, meta, {
expirationDate: opts.expires,
timestamp: opts.timestamp,
});
});
} catch (e) {
printError(e instanceof Error ? e.message : String(e));
@@ -493,7 +530,12 @@ export async function cmdUpdate(
export async function cmdDelete(
backend: Backend,
memoryId: string,
opts: { output: string; dryRun?: boolean; force?: boolean },
opts: {
output: string;
dryRun?: boolean;
force?: boolean;
deleteLinked?: boolean;
},
): Promise<void> {
setCurrentCommand("delete");
if (opts.dryRun) {
@@ -514,7 +556,7 @@ export async function cmdDelete(
let result: Record<string, unknown>;
try {
result = await timedStatus("Deleting...", async () => {
return backend.delete(memoryId);
return backend.delete(memoryId, { deleteLinked: opts.deleteLinked });
});
} catch (e) {
printError(e instanceof Error ? e.message : String(e));
+1 -6
View File
@@ -1,5 +1,5 @@
/**
* Utility commands: status, version, import.
* Utility commands: status, import.
*/
import fs from "node:fs";
@@ -8,7 +8,6 @@ import type { Backend } from "../backend/base.js";
import { colors, printError, printSuccess, timedStatus } from "../branding.js";
import { formatAgentEnvelope, formatJsonEnvelope } from "../output.js";
import { setCurrentCommand } from "../state.js";
import { CLI_VERSION } from "../version.js";
const { brand, dim, success, error: errorColor } = colors;
@@ -82,10 +81,6 @@ export async function cmdStatus(
console.log();
}
export function cmdVersion(): void {
console.log(` ${brand("◆ Mem0")} CLI v${CLI_VERSION}`);
}
export async function cmdImport(
backend: Backend,
filePath: string,
+57 -5
View File
@@ -17,6 +17,7 @@ import {
isAgentMode,
setAgentMode,
setCurrentCommand,
stdinIsPiped,
takeNotice,
} from "./state.js";
import { captureEvent } from "./telemetry.js";
@@ -319,7 +320,25 @@ program
.option("--immutable", "Prevent future updates.", false)
.option("--no-infer", "Skip inference, store raw.")
.option("--expires <date>", "Expiration date (YYYY-MM-DD).")
.option("--categories <value>", "Categories (JSON array or comma-separated).")
.option(
"--categories <value>",
"Not supported on add, use --custom-categories instead.",
)
.option(
"--custom-instructions <text>",
"Custom instructions for fact extraction.",
)
.option(
"--custom-categories <json>",
"Custom categories as a JSON array of {name: description} objects.",
)
.option(
"--structured-data-schema <json>",
"Schema for structured data extraction, as JSON.",
)
.option("--timestamp <unix>", "Unix timestamp for the memory.", (v) =>
Number.parseInt(v),
)
.option("-o, --output <format>", "Output format: text, json, quiet.", "text")
.option("--api-key <key>", "Override API key.")
.option("--base-url <url>", "Override API base URL.")
@@ -366,6 +385,16 @@ program
.option("--keyword", "Use keyword search.", false)
.option("--filter <json>", "Advanced filter expression (JSON).")
.option("--fields <list>", "Specific fields to return (comma-separated).")
.option("--show-expired", "Include expired memories.", false)
.option(
"--reference-date <date>",
"Reference date for relative queries (YYYY-MM-DD or unix timestamp).",
)
.option(
"--latest-only",
"Only return the latest version of each memory.",
false,
)
.option("-o, --output <format>", "Output: text, json, table.", "text")
.option("--api-key <key>", "Override API key.")
.option("--base-url <url>", "Override API base URL.")
@@ -375,7 +404,7 @@ program
)
.action(async (query, opts) => {
let resolvedQuery = query;
if (!resolvedQuery && !process.stdin.isTTY) {
if (!resolvedQuery && stdinIsPiped()) {
resolvedQuery = fs.readFileSync(0, "utf-8").trim();
}
if (!resolvedQuery) {
@@ -398,6 +427,9 @@ program
keyword: opts.keyword,
filterJson: opts.filter,
fields: opts.fields,
showExpired: opts.showExpired,
referenceDate: opts.referenceDate,
latestOnly: opts.latestOnly,
output,
});
});
@@ -441,6 +473,12 @@ program
.option("--category <name>", "Filter by category.")
.option("--after <date>", "Created after (YYYY-MM-DD).")
.option("--before <date>", "Created before (YYYY-MM-DD).")
.option("--show-expired", "Include expired memories.", false)
.option(
"--latest-only",
"Only return the latest version of each memory.",
false,
)
.option("-o, --output <format>", "Output: text, json, table.", "table")
.option("--api-key <key>", "Override API key.")
.option("--base-url <url>", "Override API base URL.")
@@ -464,6 +502,8 @@ program
category: opts.category,
after: opts.after,
before: opts.before,
showExpired: opts.showExpired,
latestOnly: opts.latestOnly,
output,
});
});
@@ -474,6 +514,10 @@ program
.command("update <memoryId> [text]")
.description("Update a memory's text or metadata.")
.option("-m, --metadata <json>", "Update metadata (JSON).")
.option("--expires <date>", "Expiration date (YYYY-MM-DD).")
.option("--timestamp <unix>", "Unix timestamp for the memory.", (v) =>
Number.parseInt(v),
)
.option("-o, --output <format>", "Output: text, json, quiet.", "text")
.option("--api-key <key>", "Override API key.")
.option("--base-url <url>", "Override API base URL.")
@@ -483,7 +527,7 @@ program
)
.action(async (memoryId, text, opts) => {
let resolvedText = text;
if (!resolvedText && !opts.metadata && !process.stdin.isTTY) {
if (!resolvedText && stdinIsPiped()) {
resolvedText = fs.readFileSync(0, "utf-8").trim();
}
const { cmdUpdate } = await import("./commands/memory.js");
@@ -492,6 +536,8 @@ program
const output = isAgent ? "agent" : opts.output;
await cmdUpdate(backend, memoryId, resolvedText, {
metadata: opts.metadata,
expires: opts.expires,
timestamp: opts.timestamp,
output,
});
});
@@ -510,6 +556,11 @@ program
.option("--project", "With --all: delete ALL memories project-wide.", false)
.option("--dry-run", "Show what would be deleted without deleting.", false)
.option("--force", "Skip confirmation.", false)
.option(
"--delete-linked",
"Also delete memories linked to this memory.",
false,
)
.option("-u, --user-id <id>", "Scope to user.")
.option("--agent-id <id>", "Scope to agent.")
.option("--app-id <id>", "Scope to app.")
@@ -563,6 +614,7 @@ program
output,
dryRun: opts.dryRun,
force: opts.force,
deleteLinked: opts.deleteLinked,
});
return;
}
@@ -806,8 +858,8 @@ program
.addHelpText("after", "\nExamples:\n $ mem0 help\n $ mem0 help --json")
.action((opts) => {
// opts.json is set when `mem0 help --json` is used (subcommand flag).
// program.opts().json is set when the root --json global flag was used first.
if (opts.json || program.opts().json) {
// program.opts().json/.agent is set when a root global flag was used first.
if (opts.json || program.opts().json || program.opts().agent) {
// Load spec from parent directory
const __dirname = path.dirname(fileURLToPath(import.meta.url));
const specPath = path.join(__dirname, "..", "..", "cli-spec.json");
+17 -3
View File
@@ -282,11 +282,24 @@ export function sanitizeAgentData(command: string, data: unknown): unknown {
}
case "search":
return (data as Record<string, unknown>[]).map((r) =>
pick(r, ["id", "memory", "score", "created_at", "categories"]),
pick(r, [
"id",
"memory",
"score",
"created_at",
"categories",
"expiration_date",
]),
);
case "list":
return (data as Record<string, unknown>[]).map((r) =>
pick(r, ["id", "memory", "created_at", "categories"]),
pick(r, [
"id",
"memory",
"created_at",
"categories",
"expiration_date",
]),
);
case "get": {
const r = data as Record<string, unknown>;
@@ -297,11 +310,12 @@ export function sanitizeAgentData(command: string, data: unknown): unknown {
"updated_at",
"categories",
"metadata",
"expiration_date",
]);
}
case "update": {
const r = data as Record<string, unknown>;
return pick(r, ["id", "memory"]);
return pick(r, ["id", "memory", "expiration_date"]);
}
case "delete":
case "delete-all":
+13
View File
@@ -3,6 +3,8 @@
* read by commands and branding functions.
*/
import fs from "node:fs";
let _agentMode = false;
let _currentCommand = "";
let _pendingNotice = "";
@@ -38,3 +40,14 @@ export function takeNotice(): string {
_pendingNotice = "";
return msg;
}
/** True only when stdin is an actual pipe or file redirect (never in agent mode). */
export function stdinIsPiped(): boolean {
if (isAgentMode()) return false;
try {
const stat = fs.fstatSync(0);
return stat.isFIFO() || stat.isFile();
} catch {
return false;
}
}
+17 -7
View File
@@ -44,15 +44,25 @@ describe("CLI Integration — help and version", () => {
expect(result.stdout).toContain("search");
});
it("help --json produces valid JSON", () => {
const result = run(["help", "--json"]);
expect(result.exitCode).toBe(0);
const parsed = JSON.parse(result.stdout);
// spec may have cli.name or top-level name
const name = parsed.name ?? parsed.cli?.name;
expect(name).toBe("mem0");
it("prints the version with --version, and has no version subcommand", () => {
const flag = run(["--version"]);
expect(flag.exitCode).toBe(0);
expect(flag.stdout).toContain("Mem0");
expect(run(["version"]).exitCode).not.toBe(0);
});
it.each([["help", "--json"], ["--json", "help"], ["--agent", "help"]])(
"%s %s produces valid JSON",
(...args) => {
const result = run(args);
expect(result.exitCode).toBe(0);
const parsed = JSON.parse(result.stdout);
// spec may have cli.name or top-level name
const name = parsed.name ?? parsed.cli?.name;
expect(name).toBe("mem0");
},
);
it("shows add help", () => {
const result = run(["add", "--help"]);
expect(result.exitCode).toBe(0);
File diff suppressed because it is too large Load Diff
+163
View File
@@ -0,0 +1,163 @@
/**
* Drift test: every documented v3 add/search/list param must be reachable from the Node CLI.
*/
import { execSync } from "node:child_process";
import fs from "node:fs";
import path from "node:path";
import { describe, expect, it } from "vitest";
const OPENAPI_PATH = path.join(
__dirname,
"..",
"..",
"..",
"docs",
"openapi.json",
);
const KNOWN_UNSURFACED: Record<string, Record<string, string>> = {
"/v3/memories/add/": {
includes: "extraction hint, no CLI flag yet",
excludes: "extraction hint, no CLI flag yet",
enable_graph: "graph memory toggle, no CLI flag yet",
output_format: "response envelope is pinned by the CLI",
prompt_profile_id: "no CLI flag yet",
temporal_reasoning: "no CLI flag yet",
timezone: "no CLI flag yet",
observation_datetime: "no CLI flag yet, --timestamp backdates instead",
observation_date: "no CLI flag yet, --timestamp backdates instead",
},
"/v3/memories/search/": {
categories: "expressible through --filter",
metadata: "expressible through --filter",
},
"/v3/memories/": {
start_date: "covered by --after via filters.created_at.gte",
end_date: "covered by --before via filters.created_at.lte",
categories: "covered by --category via filters.categories",
fields: "no CLI flag yet",
keywords: "no CLI flag yet",
},
};
const ADD_MAPPING: Record<string, string[]> = {
messages: ["--messages", "--file", "text"],
user_id: ["--user-id"],
agent_id: ["--agent-id"],
app_id: ["--app-id"],
run_id: ["--run-id"],
metadata: ["--metadata"],
expiration_date: ["--expires"],
custom_instructions: ["--custom-instructions"],
custom_categories: ["--custom-categories"],
infer: ["--no-infer"],
immutable: ["--immutable"],
structured_data_schema: ["--structured-data-schema"],
timestamp: ["--timestamp"],
};
const SEARCH_MAPPING: Record<string, string[]> = {
query: ["query"],
filters: ["--filter", "--user-id", "--agent-id", "--run-id"],
show_expired: ["--show-expired"],
top_k: ["--top-k"],
threshold: ["--threshold"],
rerank: ["--rerank"],
reference_date: ["--reference-date"],
fields: ["--fields"],
};
const LIST_MAPPING: Record<string, string[]> = {
filters: [
"--user-id",
"--agent-id",
"--run-id",
"--category",
"--after",
"--before",
],
show_expired: ["--show-expired"],
page: ["--page"],
page_size: ["--page-size"],
};
function documentedFields(endpoint: string): string[] {
const spec = JSON.parse(fs.readFileSync(OPENAPI_PATH, "utf-8"));
const schema =
spec.paths[endpoint].post.requestBody.content["application/json"].schema;
return Object.keys(schema.properties);
}
function helpText(command: string): string {
return execSync(`npx tsx src/index.ts ${command} --help`, {
cwd: path.join(__dirname, ".."),
encoding: "utf-8",
timeout: 15000,
});
}
function assertAllReachable(
endpoint: string,
mapping: Record<string, string[]>,
command: string,
) {
const documented = documentedFields(endpoint);
const help = helpText(command);
for (const field of documented) {
if (KNOWN_UNSURFACED[endpoint]?.[field]) continue;
const candidates = mapping[field];
expect(
candidates,
`${endpoint}: documented field "${field}" has no mapping entry for command "${command}"`,
).toBeDefined();
const reachable = candidates.some((flag) =>
flag.startsWith("--") ? help.includes(flag) : true,
);
expect(
reachable,
`${endpoint}: documented field "${field}" not reachable via any of ${JSON.stringify(candidates)} on command "${command}"`,
).toBe(true);
}
}
describe("Option parity: Node CLI reachability of documented v3 params", () => {
it("add covers documented fields", () => {
assertAllReachable("/v3/memories/add/", ADD_MAPPING, "add");
});
it("search covers documented fields", () => {
assertAllReachable("/v3/memories/search/", SEARCH_MAPPING, "search");
});
it("list covers documented fields", () => {
assertAllReachable("/v3/memories/", LIST_MAPPING, "list");
});
});
describe("stdin fallback uses the shared piped-stdin guard", () => {
const SOURCES = ["src/index.ts", "src/commands/memory.ts"];
for (const rel of SOURCES) {
it(`${rel} never checks process.stdin.isTTY directly`, () => {
const src = fs.readFileSync(path.join(__dirname, "..", rel), "utf-8");
expect(
src.includes("process.stdin.isTTY"),
`${rel}: use stdinIsPiped() from state.ts. A bare !isTTY check is also true for /dev/null and sockets, so readFileSync(0) crashes with EAGAIN in scripts, CI, and agent mode.`,
).toBe(false);
});
it(`${rel} guards every readFileSync(0) with stdinIsPiped()`, () => {
const src = fs.readFileSync(path.join(__dirname, "..", rel), "utf-8");
const lines = src.split("\n");
for (const [i, line] of lines.entries()) {
if (!line.includes("readFileSync(0")) continue;
const guard = lines.slice(Math.max(0, i - 3), i).join("\n");
expect(
guard.includes("stdinIsPiped()"),
`${rel}:${i + 1}: readFileSync(0) must be guarded by stdinIsPiped()`,
).toBe(true);
}
});
}
});
+205 -68
View File
@@ -7,94 +7,231 @@ import { PlatformBackend } from "../src/backend/platform.js";
import { createDefaultConfig } from "../src/config.js";
function makeBackend(): PlatformBackend {
// apiKey/baseUrl only build request headers; every test spies on _request,
// so no real network calls are made.
return new PlatformBackend(createDefaultConfig().platform);
return new PlatformBackend(createDefaultConfig().platform);
}
function mockFetch() {
const fetchMock = vi.fn().mockResolvedValue({
ok: true,
status: 200,
headers: { get: vi.fn().mockReturnValue(null) },
json: vi.fn().mockResolvedValue({ message: "ok" }),
});
vi.stubGlobal("fetch", fetchMock);
return fetchMock;
const fetchMock = vi.fn().mockResolvedValue({
ok: true,
status: 200,
headers: { get: vi.fn().mockReturnValue(null) },
json: vi.fn().mockResolvedValue({ message: "ok" }),
});
vi.stubGlobal("fetch", fetchMock);
return fetchMock;
}
beforeEach(() => {
vi.restoreAllMocks();
vi.unstubAllGlobals();
vi.restoreAllMocks();
vi.unstubAllGlobals();
});
describe("deleteEntities", () => {
it("returns all results keyed by entity type for a multi-entity delete", async () => {
const backend = makeBackend();
const responses: Record<string, unknown> = {
"/v2/entities/user/alice/": { message: "user deleted" },
"/v2/entities/agent/bob/": { message: "agent deleted" },
};
const spy = vi
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
.spyOn(backend as any, "_request")
.mockImplementation(async (_method: string, path: string) => responses[path]);
it("returns all results keyed by entity type for a multi-entity delete", async () => {
const backend = makeBackend();
const responses: Record<string, unknown> = {
"/v2/entities/user/alice/": { message: "user deleted" },
"/v2/entities/agent/bob/": { message: "agent deleted" },
};
const spy = vi
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
.spyOn(backend as any, "_request")
.mockImplementation(
async (_method: string, path: string) => responses[path],
);
const result = await backend.deleteEntities({ userId: "alice", agentId: "bob" });
const result = await backend.deleteEntities({
userId: "alice",
agentId: "bob",
});
// Regression: previously only the last entity's response survived.
expect(result).toEqual({
user: { message: "user deleted" },
agent: { message: "agent deleted" },
});
expect(spy).toHaveBeenCalledTimes(2);
});
expect(result).toEqual({
user: { message: "user deleted" },
agent: { message: "agent deleted" },
});
expect(spy).toHaveBeenCalledTimes(2);
});
it("keys a single-entity delete by its type", async () => {
const backend = makeBackend();
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
vi.spyOn(backend as any, "_request").mockResolvedValue({ message: "user deleted" });
it("keys a single-entity delete by its type", async () => {
const backend = makeBackend();
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
vi.spyOn(backend as any, "_request").mockResolvedValue({
message: "user deleted",
});
const result = await backend.deleteEntities({ userId: "alice" });
expect(result).toEqual({ user: { message: "user deleted" } });
});
const result = await backend.deleteEntities({ userId: "alice" });
expect(result).toEqual({ user: { message: "user deleted" } });
});
it("throws when no entity id is provided", async () => {
const backend = makeBackend();
await expect(backend.deleteEntities({})).rejects.toThrow(
"At least one entity ID is required",
);
});
it("throws when no entity id is provided", async () => {
const backend = makeBackend();
await expect(backend.deleteEntities({})).rejects.toThrow(
"At least one entity ID is required",
);
});
});
describe("PlatformBackend option-parity payloads (MEM-5893)", () => {
it("add: custom_instructions, custom_categories, structured_data_schema, timestamp reach the payload alongside existing fields", async () => {
const backend = makeBackend();
const spy = vi
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
.spyOn(backend as any, "_request")
.mockResolvedValue({ results: [] });
await backend.add("hello", undefined, {
userId: "alice",
metadata: { source: "test" },
expires: "2099-01-01",
customInstructions: "Extract only preferences.",
customCategories: [{ prefs: "user preferences" }],
structuredDataSchema: { type: "object" },
timestamp: 1700000000,
});
const payload = spy.mock.calls[0][2].json;
expect(payload.custom_instructions).toBe("Extract only preferences.");
expect(payload.custom_categories).toEqual([{ prefs: "user preferences" }]);
expect(payload.structured_data_schema).toEqual({ type: "object" });
expect(payload.timestamp).toBe(1700000000);
expect(payload.metadata).toEqual({ source: "test" });
expect(payload.expiration_date).toBe("2099-01-01");
});
it("add: omitted optional fields are absent from the payload", async () => {
const backend = makeBackend();
const spy = vi
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
.spyOn(backend as any, "_request")
.mockResolvedValue({ results: [] });
await backend.add("hello", undefined, { userId: "alice" });
const payload = spy.mock.calls[0][2].json;
expect(payload).not.toHaveProperty("custom_instructions");
expect(payload).not.toHaveProperty("custom_categories");
expect(payload).not.toHaveProperty("structured_data_schema");
expect(payload).not.toHaveProperty("timestamp");
});
it("search: show_expired, reference_date, latest_only reach the payload", async () => {
const backend = makeBackend();
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
const spy = vi.spyOn(backend as any, "_request").mockResolvedValue([]);
await backend.search("query", {
showExpired: true,
referenceDate: "2024-01-01",
latestOnly: true,
});
const payload = spy.mock.calls[0][2].json;
expect(payload.show_expired).toBe(true);
expect(payload.reference_date).toBe("2024-01-01");
expect(payload.latest_only).toBe(true);
});
it("search: keyword_search and fields reach the payload", async () => {
const backend = makeBackend();
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
const spy = vi.spyOn(backend as any, "_request").mockResolvedValue([]);
await backend.search("query", {
keyword: true,
fields: ["memory", "score"],
});
const payload = spy.mock.calls[0][2].json;
expect(payload.keyword_search).toBe(true);
expect(payload.fields).toEqual(["memory", "score"]);
});
it("search: omitted keyword and fields are absent from the payload", async () => {
const backend = makeBackend();
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
const spy = vi.spyOn(backend as any, "_request").mockResolvedValue([]);
await backend.search("query", {});
const payload = spy.mock.calls[0][2].json;
expect(payload).not.toHaveProperty("keyword_search");
expect(payload).not.toHaveProperty("fields");
});
it("listMemories: show_expired and latest_only are top-level, not nested inside filters", async () => {
const backend = makeBackend();
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
const spy = vi.spyOn(backend as any, "_request").mockResolvedValue([]);
await backend.listMemories({
userId: "alice",
showExpired: true,
latestOnly: true,
});
const payload = spy.mock.calls[0][2].json;
expect(payload.show_expired).toBe(true);
expect(payload.latest_only).toBe(true);
expect(payload.filters ?? {}).not.toHaveProperty("show_expired");
expect(payload.filters ?? {}).not.toHaveProperty("latest_only");
});
it("update: expiration_date and timestamp reach the payload", async () => {
const backend = makeBackend();
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
const spy = vi.spyOn(backend as any, "_request").mockResolvedValue({});
await backend.update("mem-123", undefined, undefined, {
expirationDate: "2099-01-01",
timestamp: 1700000000,
});
const payload = spy.mock.calls[0][2].json;
expect(payload.expiration_date).toBe("2099-01-01");
expect(payload.timestamp).toBe(1700000000);
});
it("delete: delete_linked is a query param, not part of the JSON body", async () => {
const backend = makeBackend();
// biome-ignore lint/suspicious/noExplicitAny: spying on a private method
const spy = vi.spyOn(backend as any, "_request").mockResolvedValue({});
await backend.delete("mem-123", { deleteLinked: true });
const opts = spy.mock.calls[0][2];
expect(opts.params.delete_linked).toBe("true");
expect(opts.json).toBeUndefined();
});
});
describe("PlatformBackend path encoding", () => {
it("encodes memory IDs before interpolating them into paths", async () => {
const fetchMock = mockFetch();
const backend = makeBackend();
it("encodes memory IDs before interpolating them into paths", async () => {
const fetchMock = mockFetch();
const backend = makeBackend();
await backend.get("mem/a?b#c");
await backend.update("mem/a?b#c", "updated");
await backend.delete("mem/a?b#c");
await backend.get("mem/a?b#c");
await backend.update("mem/a?b#c", "updated");
await backend.delete("mem/a?b#c");
const urls = fetchMock.mock.calls.map((call) => call[0]);
expect(urls).toEqual([
"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/?source=CLI",
"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/",
"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/?source=CLI",
]);
});
const urls = fetchMock.mock.calls.map((call) => call[0]);
expect(urls).toEqual([
"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/?source=CLI",
"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/",
"https://api.mem0.ai/v1/memories/mem%2Fa%3Fb%23c/?source=CLI",
]);
});
it("encodes entity and event IDs before interpolating them into paths", async () => {
const fetchMock = mockFetch();
const backend = makeBackend();
it("encodes entity and event IDs before interpolating them into paths", async () => {
const fetchMock = mockFetch();
const backend = makeBackend();
await backend.deleteEntities({ userId: "org/team?active#frag" });
await backend.getEvent("evt/a?b#c");
await backend.deleteEntities({ userId: "org/team?active#frag" });
await backend.getEvent("evt/a?b#c");
const urls = fetchMock.mock.calls.map((call) => call[0]);
expect(urls).toEqual([
"https://api.mem0.ai/v2/entities/user/org%2Fteam%3Factive%23frag/?source=CLI",
"https://api.mem0.ai/v1/event/evt%2Fa%3Fb%23c/",
]);
});
const urls = fetchMock.mock.calls.map((call) => call[0]);
expect(urls).toEqual([
"https://api.mem0.ai/v2/entities/user/org%2Fteam%3Factive%23frag/?source=CLI",
"https://api.mem0.ai/v1/event/evt%2Fa%3Fb%23c/",
]);
});
});
+2 -8
View File
@@ -241,14 +241,6 @@ Verify your API connection and display the current project.
mem0 status
```
### `mem0 version`
Print the CLI version.
```bash
mem0 version
```
## Agent mode
Pass `--agent` (or its alias `--json`) as a **global flag** on any command to get output designed for AI agent tool loops:
@@ -307,6 +299,8 @@ These flags are available on all commands:
| `--base-url` | Override the configured API base URL for this request |
| `-o, --output` | Set the output format |
`mem0 --version` prints the CLI version. It is only valid before a subcommand, not after one.
## Environment variables
| Variable | Description |
+1 -1
View File
@@ -80,7 +80,7 @@ mem0 --help
# Using Python directly (with venv activated)
source .venv/bin/activate
mem0 --help
mem0 version
mem0 --version
# Or run without activating
.venv/bin/mem0 --help
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "mem0-cli"
version = "0.2.10"
version = "0.2.11"
description = "The official CLI for mem0 — the memory layer for AI agents"
readme = "README.md"
license = "Apache-2.0"
+1 -1
View File
@@ -1,3 +1,3 @@
"""mem0 CLI — the command-line interface for the mem0 memory layer."""
__version__ = "0.2.10"
__version__ = "0.2.11"
+89 -6
View File
@@ -273,7 +273,21 @@ def add(
no_infer: bool = typer.Option(False, "--no-infer", help="Skip inference, store raw."),
expires: str | None = typer.Option(None, "--expires", help="Expiration date (YYYY-MM-DD)."),
categories: str | None = typer.Option(
None, "--categories", help="Categories (JSON array or comma-separated)."
None, "--categories", help="Not supported on add, use --custom-categories instead."
),
custom_instructions: str | None = typer.Option(
None, "--custom-instructions", help="Custom instructions for fact extraction."
),
custom_categories: str | None = typer.Option(
None,
"--custom-categories",
help="Custom categories as a JSON array of {name: description} objects.",
),
structured_data_schema: str | None = typer.Option(
None, "--structured-data-schema", help="Schema for structured data extraction, as JSON."
),
timestamp: int | None = typer.Option(
None, "--timestamp", help="Unix timestamp for the memory."
),
output: str = typer.Option(
"text", "--output", "-o", help="Output format: text, json, quiet.", rich_help_panel="Output"
@@ -312,6 +326,10 @@ def add(
no_infer=no_infer,
expires=expires,
categories=categories,
custom_instructions=custom_instructions,
custom_categories=custom_categories,
structured_data_schema=structured_data_schema,
timestamp=timestamp,
output=output,
)
@@ -355,6 +373,21 @@ def search(
help="Specific fields to return (comma-separated).",
rich_help_panel="Search",
),
show_expired: bool = typer.Option(
False, "--show-expired", help="Include expired memories.", rich_help_panel="Search"
),
reference_date: str | None = typer.Option(
None,
"--reference-date",
help="Reference date for relative queries (YYYY-MM-DD or unix timestamp).",
rich_help_panel="Search",
),
latest_only: bool = typer.Option(
False,
"--latest-only",
help="Only return the latest version of each memory.",
rich_help_panel="Search",
),
output: str = typer.Option(
"text", "--output", "-o", help="Output: text, json, table.", rich_help_panel="Output"
),
@@ -398,6 +431,9 @@ def search(
keyword=keyword,
filter_json=filter_json,
fields=fields,
show_expired=show_expired,
reference_date=reference_date,
latest_only=latest_only,
output=output,
)
@@ -464,6 +500,15 @@ def list_cmd(
before: str | None = typer.Option(
None, "--before", help="Created before (YYYY-MM-DD).", rich_help_panel="Filters"
),
show_expired: bool = typer.Option(
False, "--show-expired", help="Include expired memories.", rich_help_panel="Filters"
),
latest_only: bool = typer.Option(
False,
"--latest-only",
help="Only return the latest version of each memory.",
rich_help_panel="Filters",
),
output: str = typer.Option(
"table", "--output", "-o", help="Output: text, json, table.", rich_help_panel="Output"
),
@@ -497,6 +542,8 @@ def list_cmd(
category=category,
after=after,
before=before,
show_expired=show_expired,
latest_only=latest_only,
output=output,
)
@@ -509,6 +556,10 @@ def update(
memory_id: str = typer.Argument(..., help="Memory ID to update."),
text: str | None = typer.Argument(None, help="New memory text."),
metadata: str | None = typer.Option(None, "--metadata", "-m", help="Update metadata (JSON)."),
expires: str | None = typer.Option(None, "--expires", help="Expiration date (YYYY-MM-DD)."),
timestamp: int | None = typer.Option(
None, "--timestamp", help="Unix timestamp for the memory."
),
output: str = typer.Option(
"text", "--output", "-o", help="Output: text, json, quiet.", rich_help_panel="Output"
),
@@ -537,7 +588,15 @@ def update(
text = _read_stdin()
backend = _get_backend(api_key, base_url)
cmd_update(backend, memory_id, text, metadata=metadata, output=output)
cmd_update(
backend,
memory_id,
text,
metadata=metadata,
expires=expires,
timestamp=timestamp,
output=output,
)
# ── Memory: delete ────────────────────────────────────────────────────────
@@ -559,6 +618,9 @@ def delete(
False, "--dry-run", help="Show what would be deleted without deleting."
),
force: bool = typer.Option(False, "--force", help="Skip confirmation."),
delete_linked: bool = typer.Option(
False, "--delete-linked", help="Also delete memories linked to this memory."
),
user_id: str | None = typer.Option(
None, "--user-id", "-u", help="Scope to user.", rich_help_panel="Scope"
),
@@ -616,7 +678,14 @@ def delete(
from mem0_cli.commands.memory import cmd_delete
backend = _get_backend(api_key, base_url)
cmd_delete(backend, memory_id, dry_run=dry_run, force=force, output=output)
cmd_delete(
backend,
memory_id,
dry_run=dry_run,
force=force,
delete_linked=delete_linked,
output=output,
)
elif all_:
_fire_telemetry("delete", {"delete_mode": "all"})
@@ -1068,7 +1137,11 @@ def _build_help_json() -> dict:
"--immutable": "Prevent future updates.",
"--no-infer": "Skip inference, store raw.",
"--expires": "Expiration date (YYYY-MM-DD).",
"--categories": "Categories (JSON array or comma-separated).",
"--categories": "Not supported on add, use --custom-categories instead.",
"--custom-instructions": "Custom instructions for fact extraction.",
"--custom-categories": "Custom categories as a JSON array of {name: description} objects.",
"--structured-data-schema": "Schema for structured data extraction, as JSON.",
"--timestamp": "Unix timestamp for the memory.",
"--graph": "Enable graph memory extraction.",
"--no-graph": "Disable graph memory extraction.",
"--output, -o": "Output format: text, json, quiet.",
@@ -1087,6 +1160,9 @@ def _build_help_json() -> dict:
"--keyword": "Use keyword search instead of semantic.",
"--filter": "Advanced filter expression (JSON).",
"--fields": "Specific fields to return (comma-separated).",
"--show-expired": "Include expired memories.",
"--reference-date": "Reference date for relative queries (YYYY-MM-DD or unix timestamp).",
"--latest-only": "Only return the latest version of each memory.",
"--graph": "Enable graph in search.",
"--no-graph": "Disable graph in search.",
"--output, -o": "Output format: text, json, table.",
@@ -1110,6 +1186,8 @@ def _build_help_json() -> dict:
"--category": "Filter by category.",
"--after": "Created after (YYYY-MM-DD).",
"--before": "Created before (YYYY-MM-DD).",
"--show-expired": "Include expired memories.",
"--latest-only": "Only return the latest version of each memory.",
"--graph": "Enable graph in listing.",
"--no-graph": "Disable graph in listing.",
"--output, -o": "Output format: text, json, table.",
@@ -1124,6 +1202,8 @@ def _build_help_json() -> dict:
},
"options": {
"--metadata, -m": "Update metadata (JSON).",
"--expires": "Expiration date (YYYY-MM-DD).",
"--timestamp": "Unix timestamp for the memory.",
"--output, -o": "Output format: text, json, quiet.",
},
},
@@ -1140,6 +1220,7 @@ def _build_help_json() -> dict:
"--all": "Delete all memories matching scope filters.",
"--entity": "Delete the entity itself and all its memories (cascade).",
"--project": "With --all: delete ALL memories project-wide.",
"--delete-linked": "Also delete memories linked to this memory.",
"--dry-run": "Show what would be deleted without deleting.",
"--force": "Skip confirmation.",
"--user-id, -u": "Scope to user.",
@@ -1269,8 +1350,10 @@ def help(
mem0 help
mem0 help --json
"""
if json:
console.print(_json.dumps(_build_help_json(), indent=2))
from mem0_cli.state import is_agent_mode
if json or is_agent_mode():
console.print_json(_json.dumps(_build_help_json()))
else:
console.print(
f"[{BRAND_COLOR}]◆ mem0 CLI[/] v{__version__} — The Memory Layer for AI Agents\n"
+17 -2
View File
@@ -25,7 +25,10 @@ class Backend(ABC):
immutable: bool = False,
infer: bool = True,
expires: str | None = None,
categories: list[str] | None = None,
custom_instructions: str | None = None,
custom_categories: list[dict] | None = None,
structured_data_schema: dict | None = None,
timestamp: int | None = None,
) -> dict: ...
@abstractmethod
@@ -43,6 +46,9 @@ class Backend(ABC):
keyword: bool = False,
filters: dict | None = None,
fields: list[str] | None = None,
show_expired: bool = False,
reference_date: str | None = None,
latest_only: bool = False,
) -> list[dict]: ...
@abstractmethod
@@ -61,11 +67,19 @@ class Backend(ABC):
category: str | None = None,
after: str | None = None,
before: str | None = None,
show_expired: bool = False,
latest_only: bool = False,
) -> list[dict]: ...
@abstractmethod
def update(
self, memory_id: str, content: str | None = None, metadata: dict | None = None
self,
memory_id: str,
content: str | None = None,
metadata: dict | None = None,
*,
expiration_date: str | None = None,
timestamp: int | None = None,
) -> dict: ...
@abstractmethod
@@ -78,6 +92,7 @@ class Backend(ABC):
agent_id: str | None = None,
app_id: str | None = None,
run_id: str | None = None,
delete_linked: bool = False,
) -> dict: ...
@abstractmethod
+43 -5
View File
@@ -87,7 +87,10 @@ class PlatformBackend(Backend):
immutable: bool = False,
infer: bool = True,
expires: str | None = None,
categories: list[str] | None = None,
custom_instructions: str | None = None,
custom_categories: list[dict] | None = None,
structured_data_schema: dict | None = None,
timestamp: int | None = None,
) -> dict:
payload: dict[str, Any] = {}
@@ -112,8 +115,14 @@ class PlatformBackend(Backend):
payload["infer"] = False
if expires:
payload["expiration_date"] = expires
if categories:
payload["categories"] = categories
if custom_instructions:
payload["custom_instructions"] = custom_instructions
if custom_categories:
payload["custom_categories"] = custom_categories
if structured_data_schema:
payload["structured_data_schema"] = structured_data_schema
if timestamp is not None:
payload["timestamp"] = timestamp
payload["source"] = "CLI"
return self._request("POST", "/v3/memories/add/", json=payload)
@@ -173,6 +182,9 @@ class PlatformBackend(Backend):
keyword: bool = False,
filters: dict | None = None,
fields: list[str] | None = None,
show_expired: bool = False,
reference_date: str | None = None,
latest_only: bool = False,
) -> list[dict]:
payload: dict[str, Any] = {"query": query, "top_k": top_k, "threshold": threshold}
@@ -191,6 +203,12 @@ class PlatformBackend(Backend):
payload["keyword_search"] = True
if fields:
payload["fields"] = fields
if show_expired:
payload["show_expired"] = True
if reference_date is not None:
payload["reference_date"] = reference_date
if latest_only:
payload["latest_only"] = True
payload["source"] = "CLI"
result = self._request("POST", "/v3/memories/search/", json=payload)
@@ -219,6 +237,8 @@ class PlatformBackend(Backend):
category: str | None = None,
after: str | None = None,
before: str | None = None,
show_expired: bool = False,
latest_only: bool = False,
) -> list[dict]:
payload: dict[str, Any] = {}
params = {"page": str(page), "page_size": str(page_size)}
@@ -241,6 +261,10 @@ class PlatformBackend(Backend):
)
if api_filters:
payload["filters"] = api_filters
if show_expired:
payload["show_expired"] = True
if latest_only:
payload["latest_only"] = True
payload["source"] = "CLI"
result = self._request("POST", "/v3/memories/", json=payload, params=params)
@@ -251,13 +275,23 @@ class PlatformBackend(Backend):
)
def update(
self, memory_id: str, content: str | None = None, metadata: dict | None = None
self,
memory_id: str,
content: str | None = None,
metadata: dict | None = None,
*,
expiration_date: str | None = None,
timestamp: int | None = None,
) -> dict:
payload: dict[str, Any] = {}
if content:
payload["text"] = content
if metadata:
payload["metadata"] = metadata
if expiration_date:
payload["expiration_date"] = expiration_date
if timestamp is not None:
payload["timestamp"] = timestamp
payload["source"] = "CLI"
return self._request(
"PUT",
@@ -274,6 +308,7 @@ class PlatformBackend(Backend):
agent_id: str | None = None,
app_id: str | None = None,
run_id: str | None = None,
delete_linked: bool = False,
) -> dict:
if all:
params: dict[str, str] = {"source": "CLI"}
@@ -287,10 +322,13 @@ class PlatformBackend(Backend):
params["run_id"] = run_id
return self._request("DELETE", "/v1/memories/", params=params)
elif memory_id:
params = {"source": "CLI"}
if delete_linked:
params["delete_linked"] = "true"
return self._request(
"DELETE",
f"/v1/memories/{_encode_path_segment(memory_id)}/",
params={"source": "CLI"},
params=params,
)
else:
raise ValueError("Either memory_id or --all is required")
+67 -20
View File
@@ -4,9 +4,11 @@ from __future__ import annotations
import json
import os
import re
import stat as _stat_mod
import sys
import time as _time
from datetime import date
from pathlib import Path
import typer
@@ -47,6 +49,18 @@ def _stdin_is_piped() -> bool:
return False
def _validate_expires(value: str) -> None:
"""Exit 1 if value is not a future YYYY-MM-DD date."""
if not re.match(r"^\d{4}-\d{2}-\d{2}$", value):
print_error(
err_console, "Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31)."
)
raise typer.Exit(1)
if date.fromisoformat(value) <= date.today():
print_error(err_console, "--expires date must be in the future.")
raise typer.Exit(1)
def cmd_add(
backend: Backend,
text: str | None,
@@ -62,6 +76,10 @@ def cmd_add(
no_infer: bool,
expires: str | None,
categories: str | None,
custom_instructions: str | None = None,
custom_categories: str | None = None,
structured_data_schema: str | None = None,
timestamp: int | None = None,
output: str = "text",
) -> None:
"""Add a memory."""
@@ -70,6 +88,13 @@ def cmd_add(
set_current_command("add")
if is_agent_mode():
output = "agent"
if categories:
print_error(
err_console, "--categories is not supported on add. Use --custom-categories instead."
)
raise typer.Exit(1)
msgs = None
content = text
@@ -108,27 +133,24 @@ def cmd_add(
print_error(err_console, "Invalid JSON in --metadata.")
raise typer.Exit(1) from None
cats = None
if categories:
custom_cats = None
if custom_categories:
try:
cats = json.loads(categories)
custom_cats = json.loads(custom_categories)
except json.JSONDecodeError:
cats = [c.strip() for c in categories.split(",")]
print_error(err_console, "Invalid JSON in --custom-categories.")
raise typer.Exit(1) from None
schema = None
if structured_data_schema:
try:
schema = json.loads(structured_data_schema)
except json.JSONDecodeError:
print_error(err_console, "Invalid JSON in --structured-data-schema.")
raise typer.Exit(1) from None
# Validate --expires
if expires:
import re
if not re.match(r"^\d{4}-\d{2}-\d{2}$", expires):
print_error(
err_console, "Invalid date format for --expires. Use YYYY-MM-DD (e.g. 2025-12-31)."
)
raise typer.Exit(1)
from datetime import date
if date.fromisoformat(expires) <= date.today():
print_error(err_console, "--expires date must be in the future.")
raise typer.Exit(1)
_validate_expires(expires)
with timed_status(err_console, "Adding memory...") as ts:
try:
@@ -143,7 +165,10 @@ def cmd_add(
immutable=immutable,
infer=not no_infer,
expires=expires,
categories=cats,
custom_instructions=custom_instructions,
custom_categories=custom_cats,
structured_data_schema=schema,
timestamp=timestamp,
)
except Exception as e:
ts.error_msg = str(e)
@@ -224,6 +249,9 @@ def cmd_search(
keyword: bool,
filter_json: str | None,
fields: str | None,
show_expired: bool = False,
reference_date: str | None = None,
latest_only: bool = False,
output: str = "text",
) -> None:
"""Search memories."""
@@ -266,6 +294,9 @@ def cmd_search(
keyword=keyword,
filters=filters,
fields=field_list,
show_expired=show_expired,
reference_date=reference_date,
latest_only=latest_only,
)
except Exception as e:
print_error(err_console, str(e))
@@ -352,6 +383,8 @@ def cmd_list(
category: str | None,
after: str | None,
before: str | None,
show_expired: bool = False,
latest_only: bool = False,
output: str = "table",
) -> None:
"""List memories."""
@@ -380,6 +413,8 @@ def cmd_list(
category=category,
after=after,
before=before,
show_expired=show_expired,
latest_only=latest_only,
)
except Exception as e:
print_error(err_console, str(e))
@@ -446,6 +481,8 @@ def cmd_update(
text: str | None,
*,
metadata: str | None,
expires: str | None = None,
timestamp: int | None = None,
output: str,
) -> None:
"""Update a memory."""
@@ -462,10 +499,19 @@ def cmd_update(
print_error(err_console, "Invalid JSON in --metadata.")
raise typer.Exit(1) from None
if expires:
_validate_expires(expires)
_start = _time.perf_counter()
with timed_status(err_console, "Updating memory...") as _ts:
try:
result = backend.update(memory_id, content=text, metadata=meta)
result = backend.update(
memory_id,
content=text,
metadata=meta,
expiration_date=expires,
timestamp=timestamp,
)
except Exception as e:
print_error(err_console, str(e))
raise typer.Exit(1) from None
@@ -490,6 +536,7 @@ def cmd_delete(
*,
dry_run: bool = False,
force: bool = False,
delete_linked: bool = False,
output: str,
) -> None:
"""Delete a single memory by ID."""
@@ -512,7 +559,7 @@ def cmd_delete(
_start = _time.perf_counter()
with timed_status(err_console, "Deleting...") as _ts:
try:
result = backend.delete(memory_id=memory_id)
result = backend.delete(memory_id=memory_id, delete_linked=delete_linked)
except Exception as e:
print_error(err_console, str(e))
raise typer.Exit(1) from None
+20 -4
View File
@@ -262,16 +262,32 @@ def sanitize_agent_data(command: str, data: Any) -> Any:
return result
if command == "search":
return [pick(r, ["id", "memory", "score", "created_at", "categories"]) for r in data]
return [
pick(r, ["id", "memory", "score", "created_at", "categories", "expiration_date"])
for r in data
]
if command == "list":
return [pick(r, ["id", "memory", "created_at", "categories"]) for r in data]
return [
pick(r, ["id", "memory", "created_at", "categories", "expiration_date"]) for r in data
]
if command == "get":
return pick(data, ["id", "memory", "created_at", "updated_at", "categories", "metadata"])
return pick(
data,
[
"id",
"memory",
"created_at",
"updated_at",
"categories",
"metadata",
"expiration_date",
],
)
if command == "update":
return pick(data, ["id", "memory"])
return pick(data, ["id", "memory", "expiration_date"])
if command in ("delete", "delete-all", "entity delete"):
return data
+26
View File
@@ -7,6 +7,7 @@ boundaries).
from __future__ import annotations
import json
import os
import re
import subprocess
@@ -84,6 +85,31 @@ class TestCLIIntegration:
assert "add" in result.stdout
assert "search" in result.stdout
def test_version_flag_only(self):
from mem0_cli import __version__
flag = _run(["--version"])
assert flag.returncode == 0
assert __version__ in flag.stdout
assert _run(["version"]).returncode != 0
@pytest.mark.parametrize(
"args",
[["help", "--json"], ["--json", "help"], ["help", "--agent"], ["--agent", "help"]],
)
def test_help_json_produces_valid_json(self, args):
result = _run(args)
assert result.returncode == 0
spec = json.loads(result.stdout)
assert spec["name"] == "mem0"
assert "add" in spec["commands"]
def test_help_without_json_is_text(self):
result = _run(["help"])
assert result.returncode == 0
with pytest.raises(json.JSONDecodeError):
json.loads(result.stdout)
def test_add_help(self):
result = _run(["add", "--help"])
assert result.returncode == 0
+177 -3
View File
@@ -252,12 +252,13 @@ class TestAddCommand:
)
mock_backend.add.assert_called_once()
def test_add_categories_csv(self, mock_backend):
def test_add_categories_rejected(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
err_console, err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
pytest.raises((SystemExit, TyperExit)),
):
cmd_add(
mock_backend,
@@ -275,7 +276,93 @@ class TestAddCommand:
categories="health,prefs",
output="text",
)
mock_backend.add.assert_called_once()
assert "--custom-categories" in err_buf.getvalue()
mock_backend.add.assert_not_called()
def test_add_invalid_custom_categories_json(self, mock_backend):
console, _buf = _make_console()
err_console, err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
pytest.raises((SystemExit, TyperExit)),
):
cmd_add(
mock_backend,
"test",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
custom_categories="not-json",
output="text",
)
assert "--custom-categories" in err_buf.getvalue()
mock_backend.add.assert_not_called()
def test_add_invalid_structured_data_schema_json(self, mock_backend):
console, _buf = _make_console()
err_console, err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
pytest.raises((SystemExit, TyperExit)),
):
cmd_add(
mock_backend,
"test",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
structured_data_schema="not-json",
output="text",
)
assert "--structured-data-schema" in err_buf.getvalue()
mock_backend.add.assert_not_called()
def test_add_regression_metadata_expiration_custom_categories_together(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_add(
mock_backend,
"test",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata='{"source": "test"}',
immutable=False,
no_infer=False,
expires="2099-01-01",
categories=None,
custom_categories='[{"prefs": "user preferences"}]',
output="text",
)
call_kwargs = mock_backend.add.call_args.kwargs
assert call_kwargs["metadata"] == {"source": "test"}
assert call_kwargs["expires"] == "2099-01-01"
assert call_kwargs["custom_categories"] == [{"prefs": "user preferences"}]
class TestAddDeduplicatesPending:
@@ -464,6 +551,36 @@ class TestSearchCommand:
)
mock_backend.search.assert_called_once()
def test_search_new_flags_reach_backend(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_search(
mock_backend,
"preferences",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
top_k=10,
threshold=0.3,
rerank=False,
keyword=False,
filter_json=None,
fields=None,
show_expired=True,
reference_date="2024-01-01",
latest_only=True,
output="text",
)
call_kwargs = mock_backend.search.call_args.kwargs
assert call_kwargs["show_expired"] is True
assert call_kwargs["reference_date"] == "2024-01-01"
assert call_kwargs["latest_only"] is True
class TestGetCommand:
def test_get_text(self, mock_backend):
@@ -561,6 +678,32 @@ class TestListCommand:
output = buf.getvalue()
assert "No memories found" in output
def test_list_new_flags_reach_backend(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_list(
mock_backend,
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
page=1,
page_size=100,
category=None,
after=None,
before=None,
show_expired=True,
latest_only=True,
output="table",
)
call_kwargs = mock_backend.list_memories.call_args.kwargs
assert call_kwargs["show_expired"] is True
assert call_kwargs["latest_only"] is True
class TestUpdateCommand:
def test_update(self, mock_backend):
@@ -585,6 +728,26 @@ class TestUpdateCommand:
output = buf.getvalue()
assert '"memory"' in output
def test_update_new_fields_reach_backend(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_update(
mock_backend,
"abc-123",
"New text",
metadata=None,
expires="2099-01-01",
timestamp=1700000000,
output="text",
)
call_kwargs = mock_backend.update.call_args.kwargs
assert call_kwargs["expiration_date"] == "2099-01-01"
assert call_kwargs["timestamp"] == 1700000000
class TestDeleteCommand:
def test_delete_single(self, mock_backend):
@@ -610,6 +773,17 @@ class TestDeleteCommand:
assert "dry run" in output.lower()
mock_backend.delete.assert_not_called()
def test_delete_linked_reaches_backend(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_delete(mock_backend, "abc-123", delete_linked=True, output="text")
call_kwargs = mock_backend.delete.call_args.kwargs
assert call_kwargs["delete_linked"] is True
class TestDeleteAllCommand:
def test_delete_all_force(self, mock_backend):
+102
View File
@@ -0,0 +1,102 @@
"""Drift test: every documented v3 add/search/list param must be reachable from the Python CLI."""
import json
from pathlib import Path
import typer.main
from mem0_cli.app import app
REPO_ROOT = Path(__file__).resolve().parents[3]
OPENAPI_PATH = REPO_ROOT / "docs" / "openapi.json"
KNOWN_UNSURFACED: dict[tuple[str, str], str] = {
("/v3/memories/add/", "includes"): "extraction hint, no CLI flag yet",
("/v3/memories/add/", "excludes"): "extraction hint, no CLI flag yet",
("/v3/memories/add/", "enable_graph"): "graph memory toggle, no CLI flag yet",
("/v3/memories/add/", "output_format"): "response envelope is pinned by the CLI",
("/v3/memories/add/", "prompt_profile_id"): "no CLI flag yet",
("/v3/memories/add/", "temporal_reasoning"): "no CLI flag yet",
("/v3/memories/add/", "timezone"): "no CLI flag yet",
("/v3/memories/add/", "observation_datetime"): "no CLI flag yet, --timestamp backdates instead",
("/v3/memories/add/", "observation_date"): "no CLI flag yet, --timestamp backdates instead",
("/v3/memories/search/", "categories"): "expressible through --filter",
("/v3/memories/search/", "metadata"): "expressible through --filter",
("/v3/memories/", "start_date"): "covered by --after via filters.created_at.gte",
("/v3/memories/", "end_date"): "covered by --before via filters.created_at.lte",
("/v3/memories/", "categories"): "covered by --category via filters.categories",
("/v3/memories/", "fields"): "no CLI flag yet",
("/v3/memories/", "keywords"): "no CLI flag yet",
}
ADD_MAPPING: dict[str, list[str]] = {
"messages": ["messages", "file", "text"],
"user_id": ["user_id"],
"agent_id": ["agent_id"],
"app_id": ["app_id"],
"run_id": ["run_id"],
"metadata": ["metadata"],
"expiration_date": ["expires"],
"custom_instructions": ["custom_instructions"],
"custom_categories": ["custom_categories"],
"infer": ["no_infer"],
"immutable": ["immutable"],
"structured_data_schema": ["structured_data_schema"],
"timestamp": ["timestamp"],
}
SEARCH_MAPPING: dict[str, list[str]] = {
"query": ["query"],
"filters": ["filter_json", "user_id", "agent_id", "run_id"],
"show_expired": ["show_expired"],
"top_k": ["top_k"],
"threshold": ["threshold"],
"rerank": ["rerank"],
"reference_date": ["reference_date"],
"fields": ["fields"],
}
LIST_MAPPING: dict[str, list[str]] = {
"filters": ["user_id", "agent_id", "run_id", "category", "after", "before"],
"show_expired": ["show_expired"],
"page": ["page"],
"page_size": ["page_size"],
}
def _documented_fields(endpoint: str) -> set[str]:
spec = json.loads(OPENAPI_PATH.read_text())
schema = spec["paths"][endpoint]["post"]["requestBody"]["content"]["application/json"]["schema"]
return set(schema["properties"])
def _cli_param_names(command_name: str) -> set[str]:
click_app = typer.main.get_command(app)
command = click_app.commands[command_name]
return {param.name for param in command.params}
def _assert_all_reachable(endpoint: str, mapping: dict[str, list[str]], command_name: str) -> None:
documented = _documented_fields(endpoint)
reachable = _cli_param_names(command_name)
for field in documented:
if (endpoint, field) in KNOWN_UNSURFACED:
continue
candidates = mapping.get(field)
assert candidates, (
f"{endpoint}: documented field {field!r} has no mapping entry for command {command_name!r}"
)
assert any(candidate in reachable for candidate in candidates), (
f"{endpoint}: documented field {field!r} not reachable via any of {candidates} on command {command_name!r}"
)
class TestOptionParity:
def test_add_covers_documented_fields(self):
_assert_all_reachable("/v3/memories/add/", ADD_MAPPING, "add")
def test_search_covers_documented_fields(self):
_assert_all_reachable("/v3/memories/search/", SEARCH_MAPPING, "search")
def test_list_covers_documented_fields(self):
_assert_all_reachable("/v3/memories/", LIST_MAPPING, "list")
@@ -0,0 +1,109 @@
"""Tests that the MEM-5893 option-parity flags reach the correct request payload/params."""
from __future__ import annotations
from unittest.mock import patch
from mem0_cli.backend.platform import PlatformBackend
from mem0_cli.config import PlatformConfig
def _make_backend() -> PlatformBackend:
return PlatformBackend(PlatformConfig(api_key="test-key", base_url="https://api.mem0.ai"))
class TestAddOptions:
def test_new_fields_and_existing_fields_land_in_payload_together(self):
backend = _make_backend()
with patch.object(backend, "_request", return_value={"results": []}) as mock_request:
backend.add(
content="hello",
user_id="alice",
metadata={"source": "test"},
expires="2099-01-01",
custom_instructions="Extract only preferences.",
custom_categories=[{"prefs": "user preferences"}],
structured_data_schema={"type": "object"},
timestamp=1700000000,
)
payload = mock_request.call_args.kwargs["json"]
assert payload["custom_instructions"] == "Extract only preferences."
assert payload["custom_categories"] == [{"prefs": "user preferences"}]
assert payload["structured_data_schema"] == {"type": "object"}
assert payload["timestamp"] == 1700000000
assert payload["metadata"] == {"source": "test"}
assert payload["expiration_date"] == "2099-01-01"
def test_omitted_fields_are_absent_from_payload(self):
backend = _make_backend()
with patch.object(backend, "_request", return_value={"results": []}) as mock_request:
backend.add(content="hello", user_id="alice")
payload = mock_request.call_args.kwargs["json"]
assert "custom_instructions" not in payload
assert "custom_categories" not in payload
assert "structured_data_schema" not in payload
assert "timestamp" not in payload
class TestSearchOptions:
def test_show_expired_reference_date_latest_only_reach_payload(self):
backend = _make_backend()
with patch.object(backend, "_request", return_value=[]) as mock_request:
backend.search(
"query",
show_expired=True,
reference_date="2024-01-01",
latest_only=True,
)
payload = mock_request.call_args.kwargs["json"]
assert payload["show_expired"] is True
assert payload["reference_date"] == "2024-01-01"
assert payload["latest_only"] is True
def test_keyword_and_fields_reach_payload(self):
backend = _make_backend()
with patch.object(backend, "_request", return_value=[]) as mock_request:
backend.search("query", keyword=True, fields=["memory", "score"])
payload = mock_request.call_args.kwargs["json"]
assert payload["keyword_search"] is True
assert payload["fields"] == ["memory", "score"]
def test_keyword_and_fields_omitted_are_absent_from_payload(self):
backend = _make_backend()
with patch.object(backend, "_request", return_value=[]) as mock_request:
backend.search("query")
payload = mock_request.call_args.kwargs["json"]
assert "keyword_search" not in payload
assert "fields" not in payload
class TestListOptions:
def test_show_expired_and_latest_only_are_top_level_not_in_filters(self):
backend = _make_backend()
with patch.object(backend, "_request", return_value=[]) as mock_request:
backend.list_memories(user_id="alice", show_expired=True, latest_only=True)
payload = mock_request.call_args.kwargs["json"]
assert payload["show_expired"] is True
assert payload["latest_only"] is True
assert "show_expired" not in payload.get("filters", {})
assert "latest_only" not in payload.get("filters", {})
class TestUpdateOptions:
def test_expires_and_timestamp_reach_payload(self):
backend = _make_backend()
with patch.object(backend, "_request", return_value={}) as mock_request:
backend.update("mem-123", expiration_date="2099-01-01", timestamp=1700000000)
payload = mock_request.call_args.kwargs["json"]
assert payload["expiration_date"] == "2099-01-01"
assert payload["timestamp"] == 1700000000
class TestDeleteOptions:
def test_delete_linked_is_a_query_param_not_json_body(self):
backend = _make_backend()
with patch.object(backend, "_request", return_value={}) as mock_request:
backend.delete(memory_id="mem-123", delete_linked=True)
call = mock_request.call_args
assert call.kwargs["params"]["delete_linked"] == "true"
assert "json" not in call.kwargs
+2 -3
View File
@@ -65,9 +65,8 @@ The request is queued for background processing. The response contains an `event
<CodeGroup>
```json 200 response
{
"message": "Memory processing has been queued for background execution",
"status": "PENDING",
"event_id": "evt-uuid"
"event_id": "evt-uuid",
"status": "PENDING"
}
```
+17
View File
@@ -4,6 +4,23 @@ description: "Major product launches, headline features, and milestones for Mem0
mode: "wide"
---
<Update label="2026-07-30" description="n8n and Zapier integrations">
**Workflow Automation: Mem0 Memory in n8n and Zapier**
Mem0 now plugs into two no-code automation platforms, so workflows that used to start from zero on every run can store durable facts and recall them later.
- **n8n community node:** [`@mem0/n8n-nodes-mem0`](https://www.npmjs.com/package/@mem0/n8n-nodes-mem0) adds a **Mem0** node with a Memory resource covering Add, Search, Get, Get Many, Update, and Delete. Install it from **Settings → Community Nodes** on a self-hosted instance, then connect your API key once as a Mem0 API credential. See [n8n](/integrations/n8n).
- **n8n AI Agent tool:** Attach the same node to an [AI Agent](https://docs.n8n.io/advanced-ai/) node and it becomes a tool the agent calls on its own, so it can decide when to remember and when to recall.
- **Zapier app:** Add Memory, Search Memories, Get Memories, and Delete Memory actions let any of Zapier's thousands of apps write and read Mem0 context with no code and no server. See [Zapier](/integrations/zapier).
- **One-time connection:** Both integrations authenticate with a single Mem0 API key and default to `https://api.mem0.ai`, with a configurable base URL for self-hosted deployments.
<Note>
The Zapier app is not yet listed in Zapier's public App Directory. Email [support@mem0.ai](mailto:support@mem0.ai) for an invite link.
</Note>
</Update>
<Update label="2026-07-13" description="TypeScript provider expansion">
**TypeScript OSS SDK: 26 New Providers, Reranking, and Zero-Dependency Imports**
+227 -4
View File
@@ -7,6 +7,50 @@ mode: "wide"
<Tabs>
<Tab title="Python">
<Update label="2026-08-04" description="v2.0.16">
**New Features:**
- **Client:** Add `reference_date`, `latest_only`, and `keyword_search` to `SearchMemoryOptions`, and `latest_only` to `GetAllMemoryOptions`, keeping the Python client's typed options in sync with the Platform API and the CLIs ([#6696](https://github.com/mem0ai/mem0/pull/6696))
**Bug Fixes:**
- **Core:** Stop `add()` metadata from setting a memory's identity scope. `_build_filters_and_metadata()` now strips `user_id`, `agent_id`, `run_id`, and `actor_id` from caller-supplied `metadata` before building the creation template, so metadata can no longer place a memory into a scope that was never passed through the entity params ([#6656](https://github.com/mem0ai/mem0/pull/6656))
- **Vector Stores:** Validate Upstash filter keys and values in `search()`, `keyword_search()`, and `list()`. Filter keys must match a safe identifier pattern, values must be `str`/`int`/`float`/`bool`, and string values containing a double quote or backslash are now rejected instead of being interpolated unescaped into the generated query string ([#5981](https://github.com/mem0ai/mem0/pull/5981))
- **Embeddings:** `FastEmbedEmbedding.embed()` now converts its result with `.tolist()` before returning, so callers get a plain `List[float]` instead of a numpy array ([#6770](https://github.com/mem0ai/mem0/pull/6770))
- **Embeddings:** `HuggingFaceEmbedding` now passes `api_key` to the OpenAI-compatible client when `huggingface_base_url` is set. The configured key was previously dropped, so the client fell back to `OPENAI_API_KEY` from the environment or raised `OpenAIError` at construction when that was unset ([#6770](https://github.com/mem0ai/mem0/pull/6770))
- **Embeddings:** Replace Ollama's interactive `pip install` prompt on import with a plain `ImportError`. Importing `mem0.embeddings.ollama` without the `ollama` package previously blocked on stdin and then called `sys.exit(1)`, killing the host process instead of raising ([#6770](https://github.com/mem0ai/mem0/pull/6770))
- **Core:** `remove_code_blocks()` now returns an empty string for `None` input instead of raising `AttributeError` ([#6770](https://github.com/mem0ai/mem0/pull/6770))
- **Core:** `parse_vision_messages()` now chains the original exception (`raise ... from e`) when an image download fails, so the root cause is preserved in the traceback ([#6770](https://github.com/mem0ai/mem0/pull/6770))
- **Core:** `process_telemetry_filters(None)` now returns `([], {})`, matching the two-value tuple every caller unpacks, instead of `{}` ([#6770](https://github.com/mem0ai/mem0/pull/6770))
- **Core:** `LlmFactory.create()` no longer mutates the caller's config dict in place via `.update(kwargs)`; the merge now builds a new dict ([#6770](https://github.com/mem0ai/mem0/pull/6770))
- **Rerankers:** The Cohere, HuggingFace, SentenceTransformer, and Zero Entropy rerankers' failure-fallback path no longer mutates the caller's document dicts in place when stamping `rerank_score`; it now falls back on copies ([#6770](https://github.com/mem0ai/mem0/pull/6770))
- **Vector Stores:** Remove `logging.basicConfig()` calls from the MongoDB and Vertex AI Vector Search providers, so selecting either provider no longer reconfigures the host application's root logger as a side effect ([#6770](https://github.com/mem0ai/mem0/pull/6770))
</Update>
<Update label="2026-08-01" description="v2.0.15">
**Bug Fixes:**
- **Core:** `delete_all()` now paginates through the vector store in batches of 1000 instead of listing once, so accounts with more memories than a single page (most vector stores default to ~100) had the remainder silently left behind ([#6636](https://github.com/mem0ai/mem0/pull/6636))
- **Vector Stores:** Cap Supabase `search()`/`list()` `top_k` at the `vecs` query limit of 1000 instead of erroring, and fix a `col_info()` crash by reading collection attributes directly instead of calling the removed `describe()` method ([#6695](https://github.com/mem0ai/mem0/pull/6695))
- **Vector Stores:** Set `size` on Elasticsearch KNN search queries, so results respect `top_k` instead of being capped at Elasticsearch's default of 10 hits ([#5910](https://github.com/mem0ai/mem0/pull/5910))
**Changes:**
- **Rerankers:** `LLMReranker`'s default model is now `gpt-5-mini` (was `gpt-4o-mini`) ([#6703](https://github.com/mem0ai/mem0/pull/6703))
</Update>
<Update label="2026-07-25" description="v2.0.14">
**New Features:**
- **Vector Stores:** Add an Oracle AI Vector Search provider (`oracledb`) with connection pooling, `HNSW`/`IVF` indexes, JSON metadata filtering, and six selectable distance metrics ([#5358](https://github.com/mem0ai/mem0/pull/5358))
**Bug Fixes:**
- **Vector Stores:** Translate a `"*"` filter value in OpenSearch into an `exists` query for every key, not just identity keys. It was previously ignored or matched literally against the string `"*"`, so a wildcard filter returned nothing ([#6522](https://github.com/mem0ai/mem0/pull/6522))
- **Vector Stores:** Re-raise errors from OpenSearch `search()` instead of returning `[]`, so a transport, auth, or index misconfiguration surfaces instead of looking like zero matches. `keyword_search()` still degrades on failure, since it is a best-effort BM25 signal ([#6519](https://github.com/mem0ai/mem0/pull/6519))
- **Vector Stores:** Guard the `text` field in Milvus `update()` behind the `_has_bm25_schema` check, matching `insert()`, so updating a memory in a collection without the BM25 `text`/`sparse` schema no longer fails ([#5705](https://github.com/mem0ai/mem0/pull/5705))
</Update>
<Update label="2026-07-22" description="v2.0.13">
**Bug Fixes:**
@@ -1145,6 +1189,49 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
<Tab title="TypeScript">
<Update label="2026-08-04" description="v3.1.4">
**New Features:**
- **Client:** Add `referenceDate` and `keywordSearch` to `SearchMemoryOptions`, keeping the TypeScript client's typed search options in sync with the Platform API ([#6696](https://github.com/mem0ai/mem0/pull/6696))
**Bug Fixes:**
- **Client:** Take the `/v1/ping/` identity/telemetry call off the request critical path. Every method previously did `if (this.telemetryId === "") await this.ping();`, blocking the first call on each client instance on a network round trip; the ping now resolves in the background through a shared, credentials-keyed promise cache (FIFO-capped at 50 entries), so concurrent clients on the same host/API key share one ping instead of issuing one each, and a failed ping is not cached so the process can retry ([#6788](https://github.com/mem0ai/mem0/pull/6788))
- **Client:** `deleteUsers()` now issues its per-entity DELETE requests through the shared `fetch()`-based helper instead of the axios instance, which defaulted to `keepAlive: false`. Deleting every user, agent, app, and run now reuses pooled connections instead of paying a fresh TCP/TLS handshake per entity ([#6788](https://github.com/mem0ai/mem0/pull/6788))
- **Memory (OSS):** Stop `add()` metadata from setting or overwriting a memory's identity scope. Metadata now runs through the same `stripIdentityKeys()` helper as `update()`, so `user_id`/`agent_id`/`run_id` (snake_case or camelCase) and `actor_id` passed in metadata can no longer place a memory into a scope the caller didn't request through `userId`/`agentId`/`runId`/`filters` ([#6377](https://github.com/mem0ai/mem0/pull/6377))
- **Vector Stores:** Fix Redis `search()` and `list()` building an invalid, empty RediSearch filter expression when `filters` was an empty object or contained only null/undefined values. The shared `buildRedisFilterExpr()` helper now falls back to `"*"` (match all) instead of joining zero conditions into `""` ([#6014](https://github.com/mem0ai/mem0/pull/6014))
</Update>
<Update label="2026-08-01" description="v3.1.3">
**New Features:**
- **Vector Stores:** Add Qdrant server-side BM25 `keywordSearch()` (requires Qdrant >= 1.15.2) plus payload filter indexes, so keyword search runs without a client-side BM25 dependency ([#5851](https://github.com/mem0ai/mem0/pull/5851))
**Bug Fixes:**
- **Core:** `deleteAll()` now paginates through the vector store in batches of 1000 instead of listing once, so accounts with more memories than a single page had the remainder silently left behind ([#4872](https://github.com/mem0ai/mem0/pull/4872))
- **Vector Stores:** Supabase `list()` now paginates past PostgREST's 1000-row cap instead of stopping at the first page, `search()` warns when results may have been truncated by that same cap, and the initialization probe reads a row instead of writing a test vector, so Row Level Security policies that only grant read access no longer fail table verification ([#6695](https://github.com/mem0ai/mem0/pull/6695))
- **Embeddings:** Honor `TOGETHER_API_BASE` in the Together embedder, matching the Together LLM provider, so a custom gateway URL is no longer silently ignored for embeddings ([#6572](https://github.com/mem0ai/mem0/pull/6572))
**Changes:**
- **Rerankers:** `RerankerFactory`'s default LLM reranker model is now `gpt-5-mini` (was `gpt-4o-mini`) ([#6703](https://github.com/mem0ai/mem0/pull/6703))
**Security:**
- **Dependencies:** Patched 32 high and 57 medium severity dependency vulnerabilities across the pnpm workspace via `pnpm.overrides` (`axios`, `brace-expansion`, `js-yaml`, `postcss`, `protobufjs`, `mongoose`, `tar`, `fast-xml-parser`, `thrift`) ([#6639](https://github.com/mem0ai/mem0/pull/6639))
</Update>
<Update label="2026-07-25" description="v3.1.2">
**Bug Fixes:**
- **Vector Stores:** Apply every operator in a Cassandra compound field filter (e.g. `{ age: { gte: 10, lte: 20 } }`) instead of stopping after the first, so the remaining bounds are no longer silently ignored ([#6511](https://github.com/mem0ai/mem0/pull/6511))
- **Vector Stores:** Stop the Chroma where-clause translator from dropping filter conditions. Same-field ranges (`gte` + `lte`), multi-field conditions inside `$or`, and negated `contains`/`icontains` under `$not` each collapsed to a single clause or vanished, widening the search instead of narrowing it ([#6521](https://github.com/mem0ai/mem0/pull/6521))
- **Vector Stores:** Skip `"*"` wildcard filter values in Milvus instead of matching them literally, so a filter like `{ user_id: "*" }` no longer returns zero memories ([#6508](https://github.com/mem0ai/mem0/pull/6508))
- **Vector Stores:** Read `textLemmatized` for BM25 keyword search on Milvus, OpenSearch, and MongoDB, matching the field the memory layer actually writes, so hybrid search on those backends no longer loses the keyword signal ([#6497](https://github.com/mem0ai/mem0/pull/6497))
- **LLMs:** Forward `responseFormat` to Gemini's `responseMimeType` in `generateResponse()`, so requesting `json_object` returns JSON instead of free-form text ([#6468](https://github.com/mem0ai/mem0/pull/6468))
- **LLMs:** Find the Anthropic text block by type instead of indexing `content[0]`, so a thinking-enabled model whose `thinking` block comes first no longer throws `Unexpected response type from Anthropic API` ([#6506](https://github.com/mem0ai/mem0/pull/6506))
</Update>
<Update label="2026-07-22" description="v3.1.1">
**New Features:**
@@ -1694,6 +1781,26 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
<Tab title="CLI">
<Update label="2026-08-04" description="Python v0.2.11 / Node v0.2.12">
**New Features:**
- **`add`:** New `--custom-instructions`, `--custom-categories`, `--structured-data-schema`, and `--timestamp` flags, matching the Platform `/v3/memories/add/` payload fields (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
- **`search`:** New `--show-expired`, `--reference-date`, and `--latest-only` flags, forwarded to `/v3/memories/search/` as `show_expired`, `reference_date`, and `latest_only` (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
- **`list`:** New `--show-expired` and `--latest-only` flags (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
- **`update`:** New `--expires` and `--timestamp` flags (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
- **`delete`:** New `--delete-linked` flag to also delete memories linked to the target memory (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
**Bug Fixes:**
- **`help --json`:** Emit JSON automatically under agent mode (`--agent`), not only when `--json` is passed explicitly. Python checks `is_agent_mode()` and now renders through `console.print_json()` instead of a plain `console.print(json.dumps(...))` call; Node also checks the root `--agent` flag in addition to the subcommand's `--json` flag (Python and Node [#6773](https://github.com/mem0ai/mem0/pull/6773))
**Changes:**
- **`add`:** `--categories` is no longer forwarded on `add`. The `/v3/memories/add/` payload has no `categories` field (only `custom_categories`), so the CLI was sending a key the endpoint does not accept. Passing the flag now exits 1 with a message pointing to `--custom-categories` (Python and Node [#6696](https://github.com/mem0ai/mem0/pull/6696))
**Security:**
- **Dependencies (Node):** Tighten the `postcss` pnpm override from `<8.5.10 → >=8.5.10` to `<8.5.18 → >=8.5.18 <9.0.0`, closing a newer CVE range the previous floor didn't cover, as part of a wider dependency patch sweep across the pnpm workspaces ([#6639](https://github.com/mem0ai/mem0/pull/6639))
</Update>
<Update label="2026-07-13" description="Python v0.2.10 / Node v0.2.11">
**Bug Fixes:**
@@ -1859,12 +1966,25 @@ A full-featured command-line interface for Mem0, available in both Python and No
<Tabs>
<Tab title="Mem0 Plugin">
<Update label="2026-08-04" description="mem0-plugin v0.2.14">
**Fixes:**
- **Settings loading no longer crashes on a malformed `settings.json`:** If `~/.mem0/settings.json` parsed as valid JSON but wasn't an object (a list or a bare string, for example), `load_settings()` called `.items()` on it and raised. `resolve_config()` guards only against `ImportError`, so the failure escaped into every hook that resolves identity, not just setup. Settings loading now keeps the defaults instead. Setup also stopped claiming it "Created" the settings file when one already existed; it only prints that when it actually wrote one. Shared across Claude Code, Cursor, Codex, and Antigravity.
**New Features:**
- **Unknown settings key warning:** Setup now flags keys in `settings.json` that the plugin doesn't recognize, so a typo'd setting no longer fails silently.
**Removed:**
- Dropped the `mem0_doc_search` "openmemory" section now that OpenMemory has been removed from the docs site, so the skill no longer links to pages that don't exist.
</Update>
<Update label="2026-07-14" description="mem0-plugin v0.2.13">
**Fixes:**
- **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences — "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`. Affects Claude Code, Cursor, Codex, and Antigravity, which share these hooks.
- **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences: "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`. Affects Claude Code, Cursor, Codex, and Antigravity, which share these hooks.
Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them — the plugin will not recreate them.
Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them; the plugin will not recreate them.
</Update>
@@ -2198,12 +2318,25 @@ Initial release of the Mem0 plugin for Claude Code and Cursor, followed by Codex
<Tab title="Antigravity">
<Update label="2026-08-04" description="Antigravity plugin v0.1.6">
**Fixes:**
- **Settings loading no longer crashes on a malformed `settings.json`:** If `~/.mem0/settings.json` parsed as valid JSON but wasn't an object, every hook that resolves identity previously raised, not just setup. It now keeps the defaults instead, and setup only reports it "Created" the settings file when it actually wrote one.
**Improvements:**
- **Unknown settings key warning:** Setup now flags keys in `settings.json` it doesn't recognize instead of ignoring them silently.
**Removed:**
- Dropped the doc-search skill's "openmemory" section now that OpenMemory has been removed from the docs site.
</Update>
<Update label="2026-07-14" description="Antigravity plugin v0.1.5">
**Fixes:**
- **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences — "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`.
- **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences: "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`.
Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them — the plugin will not recreate them.
Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them; the plugin will not recreate them.
</Update>
@@ -2254,6 +2387,16 @@ Existing memories written by the previous versions are not rewritten. If your me
<Tab title="OpenClaw">
<Update label="2026-08-01" description="openclaw-mem0 v1.0.15">
**Improvements:**
- **Onboarding suggestions:** The example commands shown by `openclaw mem0 config show` now suggest `gpt-5-mini` instead of `gpt-4o` ([#6704](https://github.com/mem0ai/mem0/pull/6704))
**Security:**
- **Dependencies:** Patched high and medium severity dependency vulnerabilities via `pnpm.overrides` (`protobufjs`, `axios`, `postcss`, `mongoose`) ([#6639](https://github.com/mem0ai/mem0/pull/6639))
</Update>
<Update label="2026-06-30" description="openclaw-mem0 v1.0.14">
**Improvements:**
@@ -2507,6 +2650,13 @@ Existing memories written by the previous versions are not rewritten. If your me
<Tab title="Pi Agent">
<Update label="2026-08-01" description="Pi Agent plugin v0.1.4">
**Security:**
- **Dependencies:** Patched high and medium severity dependency vulnerabilities via `pnpm.overrides` (`axios`, `brace-expansion`, `postcss`, `mongoose`, `protobufjs`) ([#6639](https://github.com/mem0ai/mem0/pull/6639))
</Update>
<Update label="2026-06-30" description="Pi Agent plugin v0.1.3">
**New Features:**
@@ -2559,6 +2709,13 @@ Existing memories written by the previous versions are not rewritten. If your me
<Tab title="Vercel AI SDK">
<Update label="2026-08-01" description="Vercel AI SDK v3.0.1">
**Security:**
- **Dependencies:** Patched high and medium severity dependency vulnerabilities via `pnpm.overrides` (`brace-expansion`, `js-yaml`) ([#6639](https://github.com/mem0ai/mem0/pull/6639))
</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.
@@ -2640,6 +2797,72 @@ Existing memories written by the previous versions are not rewritten. If your me
- Added support for graph memories.
</Update>
</Tab>
<Tab title="n8n">
<Update label="2026-08-04" description="n8n-nodes-mem0 v0.1.2">
**Changes:**
- **Package contact:** `author.email` in the published package is now `integrations@mem0.ai` (was `founders@mem0.ai`), so npm and n8n Creator Portal correspondence reaches the integrations team directly. No functional changes ([#6791](https://github.com/mem0ai/mem0/pull/6791))
</Update>
<Update label="2026-07-30" description="n8n-nodes-mem0 v0.1.1">
**Changes:**
- **Published with npm provenance:** Republished through the `n8n-nodes-mem0-cd.yml` GitHub Actions workflow so the package carries a signed provenance attestation. `0.1.0` was published manually and has none, which blocks submission for n8n Creator Portal verification. No functional changes ([#6685](https://github.com/mem0ai/mem0/pull/6685))
</Update>
<Update label="2026-07-29" description="n8n-nodes-mem0 v0.1.0">
**Initial release** of [`@mem0/n8n-nodes-mem0`](https://www.npmjs.com/package/@mem0/n8n-nodes-mem0), a community node that adds long-term memory to n8n workflows and AI Agents ([#6517](https://github.com/mem0ai/mem0/pull/6517))
**New Features:**
- **Memory operations:** A single **Mem0** node covers Add, Search, Get, Get Many, Update, and Delete on the Memory resource.
- **AI Agent tool:** The node sets `usableAsTool`, so it can be attached to an n8n AI Agent node and invoked by the agent itself rather than wired into a fixed workflow path.
- **Scoping:** Add, Search, and Get Many accept User ID, Agent ID, App ID, and Run ID, so memories stay partitioned per user, agent, or session.
- **Add options:** Metadata JSON, custom categories, custom instructions, includes/excludes, an `infer` toggle, and a **Wait for Completion** switch that polls until the write lands instead of returning immediately.
- **Pagination:** Get Many supports Return All, or explicit Page and Page Size.
- **Credential:** A **Mem0 API** credential holds the API key plus a configurable base URL, defaulting to `https://api.mem0.ai` for self-hosted deployments.
<Note>
Community nodes install from npm, which is a self-hosted n8n feature. See [n8n](/integrations/n8n) for setup.
</Note>
</Update>
</Tab>
<Tab title="Zapier">
<Update label="2026-08-04" description="Zapier app v0.1.1">
**Bug Fixes:**
- **Add Memory:** **User ID** is now a required field. Mem0 rejects a write that carries no entity ID, so a Zap left blank failed at the API instead of in the editor. If you scoped memories only by Agent ID or Run ID, set a User ID as well ([#6790](https://github.com/mem0ai/mem0/pull/6790))
- **Deployment:** Add a root `index.js` that re-exports the compiled app from `dist/`, and point `main` at it. Zapier's Lambda wrapper loads `<root>/index.js` and ignores the `package.json` `main` field, so the deployed app could not resolve its entry point ([#6789](https://github.com/mem0ai/mem0/pull/6789))
</Update>
<Update label="2026-07-29" description="Zapier app v0.1.0">
**Initial release** of the Mem0 Zapier app, built on the Zapier Platform CLI ([#6518](https://github.com/mem0ai/mem0/pull/6518))
**New Features:**
- **Actions:** Add Memory and Delete Memory.
- **Searches:** Search Memories and Get Memories, usable as lookup steps in any Zap.
- **Authentication:** An API key connection validated against Mem0 the moment it is saved, sent as `Authorization: Token <key>`, with a configurable base URL for self-hosted deployments.
**Bug Fixes:**
- **Add Memory:** Raise the poll budget past the real API latency tail, so a slower write is no longer reported as a failure ([#6680](https://github.com/mem0ai/mem0/pull/6680))
<Note>
The app deploys to Zapier's platform rather than npm and is not yet listed in the public App Directory. See [Zapier](/integrations/zapier) for invite access.
</Note>
</Update>
</Tab>
</Tabs>
+2 -2
View File
@@ -52,7 +52,7 @@ All rerankers share these common configuration parameters:
| Parameter | Description | Type | Default |
| ---------------- | ------------------------------------------ | ------- | ---------------------- |
| `model` | LLM model to use for scoring | `str` | `"gpt-4o-mini"` |
| `model` | LLM model to use for scoring | `str` | `"gpt-5-mini"` |
| `provider` | LLM provider (`openai`, `anthropic`, etc.) | `str` | `"openai"` |
| `api_key` | API key for LLM provider | `str` | `None` |
| `temperature` | Temperature for LLM generation | `float` | `0.0` |
@@ -114,7 +114,7 @@ The self-hosted [TypeScript SDK](/open-source/features/reranker-search#typescrip
| `zero_entropy` | `pnpm add zeroentropy` | `zerank-1` | `apiKey`, `model`, `topK` |
| `sentence_transformer` | `pnpm add @huggingface/transformers` | `Xenova/ms-marco-MiniLM-L-6-v2` | `model`, `device`, `maxLength`, `normalize`, `topK` |
| `huggingface` | `pnpm add @huggingface/transformers` | `Xenova/bge-reranker-base` | `model`, `device`, `maxLength`, `normalize`, `topK` |
| `llm_reranker` | None (uses your LLM provider's own SDK) | `openai` / `gpt-4o-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
| `llm_reranker` | None (uses your LLM provider's own SDK) | `openai` / `gpt-5-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
```typescript
import { Memory } from "mem0ai/oss";
+1 -1
View File
@@ -48,7 +48,7 @@ config = {
"provider": "llm_reranker",
"config": {
"provider": "openai",
"model": "gpt-4o-mini",
"model": "gpt-5-mini",
"api_key": "your-openai-key",
"scoring_prompt": custom_prompt,
"top_k": 5
+1 -1
View File
@@ -101,7 +101,7 @@ os.environ["COHERE_API_KEY"] = "your-api-key"
# Initialize memory with Cohere reranker
config = {
"vector_store": {"provider": "chroma"},
"llm": {"provider": "openai", "config": {"model": "gpt-4o-mini"}},
"llm": {"provider": "openai", "config": {"model": "gpt-5-mini"}},
"rerank": {
"provider": "cohere",
"config": {
@@ -19,7 +19,7 @@ config = {
"provider": "llm_reranker",
"config": {
"provider": "openai",
"model": "gpt-4o-mini",
"model": "gpt-5-mini",
"api_key": "your-openai-api-key"
}
}
@@ -33,7 +33,7 @@ m = Memory.from_config(config)
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `provider` | str | `"openai"` | LLM provider (openai, anthropic, etc.) |
| `model` | str | `"gpt-4o-mini"` | LLM model to use for reranking |
| `model` | str | `"gpt-5-mini"` | LLM model to use for reranking |
| `api_key` | str | None | API key for the LLM provider |
| `top_k` | int | None | Number of top documents to return after reranking |
| `temperature` | float | 0.0 | LLM temperature for consistency |
@@ -69,7 +69,7 @@ config = {
## TypeScript (self-hosted)
The [TypeScript OSS SDK](/open-source/features/reranker-search#typescript-sdk) (`mem0ai/oss`) ships the LLM reranker under the provider name `llm_reranker`. It does **not** reuse the Memory's main `llm` instance; it builds its own LLM from the reranker's own config, defaulting to `openai` / `gpt-4o-mini`. Set `provider`/`model`/`apiKey` directly on `config`, or nest a fully separate `config.llm: { provider, config }` (its `provider`/`config` take priority over the top-level fields, which only backfill values missing from the nested config).
The [TypeScript OSS SDK](/open-source/features/reranker-search#typescript-sdk) (`mem0ai/oss`) ships the LLM reranker under the provider name `llm_reranker`. It does **not** reuse the Memory's main `llm` instance; it builds its own LLM from the reranker's own config, defaulting to `openai` / `gpt-5-mini`. Set `provider`/`model`/`apiKey` directly on `config`, or nest a fully separate `config.llm: { provider, config }` (its `provider`/`config` take priority over the top-level fields, which only backfill values missing from the nested config).
```typescript
import { Memory } from "mem0ai/oss";
@@ -114,7 +114,7 @@ config = {
"provider": "llm_reranker",
"config": {
"provider": "openai",
"model": "gpt-4o-mini",
"model": "gpt-5-mini",
"api_key": "your-openai-api-key",
"temperature": 0.0
}
@@ -170,15 +170,15 @@ config = {
"provider": "llm_reranker",
"config": {
"provider": "azure_openai",
"model": "gpt-4o-mini",
"model": "gpt-5-mini",
"api_key": "your-azure-api-key",
"llm": {
"provider": "azure_openai",
"config": {
"model": "gpt-4o-mini",
"model": "gpt-5-mini",
"api_key": "your-azure-api-key",
"azure_endpoint": "https://your-resource.openai.azure.com/",
"azure_deployment": "gpt-4o-mini-deployment"
"azure_deployment": "gpt-5-mini-deployment"
}
}
}
@@ -232,7 +232,7 @@ config = {
"provider": "llm_reranker",
"config": {
"provider": "openai",
"model": "gpt-4o-mini",
"model": "gpt-5-mini",
"api_key": "your-api-key",
"scoring_prompt": custom_prompt
}
@@ -351,7 +351,7 @@ fast_config = {
"provider": "llm_reranker",
"config": {
"provider": "openai",
"model": "gpt-4o-mini",
"model": "gpt-5-mini",
"api_key": "your-api-key",
"top_k": 5,
"temperature": 0.0
@@ -444,7 +444,7 @@ fallback_config = {
"provider": "llm_reranker",
"config": {
"provider": "openai",
"model": "gpt-4o-mini",
"model": "gpt-5-mini",
"api_key": "your-api-key"
}
}
@@ -36,7 +36,7 @@ config = {
"llm": {
"provider": "openai",
"config": {
"model": "gpt-4o-mini"
"model": "gpt-5-mini"
}
},
"rerank": {
@@ -113,7 +113,7 @@ from mem0 import Memory
# Initialize memory with local reranker
config = {
"vector_store": {"provider": "chroma"},
"llm": {"provider": "openai", "config": {"model": "gpt-4o-mini"}},
"llm": {"provider": "openai", "config": {"model": "gpt-5-mini"}},
"rerank": {
"provider": "sentence_transformer",
"config": {
@@ -34,7 +34,7 @@ config = {
"llm": {
"provider": "openai",
"config": {
"model": "gpt-4o-mini"
"model": "gpt-5-mini"
}
},
"rerank": {
@@ -98,7 +98,7 @@ os.environ["ZERO_ENTROPY_API_KEY"] = "your-api-key"
# Initialize memory with Zero Entropy reranker
config = {
"vector_store": {"provider": "chroma"},
"llm": {"provider": "openai", "config": {"model": "gpt-4o-mini"}},
"llm": {"provider": "openai", "config": {"model": "gpt-5-mini"}},
"rerank": {"provider": "zero_entropy", "config": {"model": "zerank-1"}}
}
+6 -1
View File
@@ -7,7 +7,7 @@ description: "Reference for vector database configuration options in Mem0, inclu
The `config` is defined as an object with two main keys:
- `vector_store`: Specifies the vector database provider and its configuration
- `provider`: The name of the vector database (e.g., "chroma", "pgvector", "qdrant", "milvus", "upstash_vector", "azure_ai_search", "vertex_ai_vector_search", "valkey")
- `provider`: The name of the vector database (e.g., "chroma", "pgvector", "qdrant", "milvus", "upstash_vector", "azure_ai_search", "vertex_ai_vector_search", "valkey", "oracledb")
- `config`: A nested dictionary containing provider-specific settings
@@ -95,6 +95,11 @@ Here's a comprehensive list of all parameters that can be used across different
| `connection_string` | PostgreSQL connection string (for Supabase/PGVector) |
| `index_method` | Vector index method (for Supabase) |
| `index_measure` | Distance measure for similarity search (for Supabase) |
| `connection_params` | Connection settings for Oracle AI Vector Search |
| `use_connection_pool` | Create an Oracle connection pool from `connection_params` |
| `distance_metric` | Distance metric for Oracle vector indexing and search |
| `index_type` | Oracle vector index type: `HNSW` or `IVF` |
| `index_parameters` | Oracle vector-index parameters for the selected index type |
</Tab>
<Tab title="TypeScript">
| Parameter | Description |
@@ -96,8 +96,8 @@ await memory.add(messages, { userId: "alice", metadata: { category: "movies" } }
</Tabs>
Both SDKs store vectors on graph nodes labeled `MEM0_VECTOR_<collection_name>`. Point them at the same
graph with the same `collection_name` — the defaults differ, `mem0` in Python and `memories` in
TypeScript — and `get()`, `list()`, and `delete()` interoperate across SDKs.
graph with the same `collection_name` (the defaults differ, `mem0` in Python and `memories` in
TypeScript) and `get()`, `list()`, and `delete()` interoperate across SDKs.
<Note>
`search()` is not currently cross-SDK compatible. The TypeScript provider filters on Neptune's reserved
+134
View File
@@ -0,0 +1,134 @@
---
title: "Oracle AI Vector Search"
description: "Use Oracle Database AI Vector Search as a vector store in Mem0 for semantic and relational queries."
---
[Oracle AI Vector Search](https://www.oracle.com/database/ai-vector-search/) stores embeddings in an Oracle table using the native `VECTOR` data type, so you can combine semantic search over unstructured data with relational queries over business data in a single database.
### Requirements
- Oracle Database 23.4 or later, with a user that can create tables and vector indexes
- The `python-oracledb` driver. In thick mode, Oracle Client 23.4 or later is also required.
```bash
pip install oracledb
```
### Usage
<CodeGroup>
```python Python
import os
from mem0 import Memory
os.environ["OPENAI_API_KEY"] = "sk-xx"
config = {
"vector_store": {
"provider": "oracledb",
"config": {
"collection_name": "mem0",
"embedding_model_dims": 1536,
"connection_params": {
"user": "mem0_user",
"password": "your-password",
"dsn": "localhost:1521/FREEPDB1",
},
}
}
}
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"})
```
</CodeGroup>
To reuse a connection or pool you already manage, pass it as `client` instead of `connection_params`:
```python
import oracledb
pool = oracledb.create_pool(user="mem0_user", password="your-password", dsn="localhost:1521/FREEPDB1")
config = {
"vector_store": {
"provider": "oracledb",
"config": {"client": pool},
}
}
```
### Config
Here are the parameters available for configuring Oracle AI Vector Search:
| Parameter | Description | Default Value |
| --- | --- | --- |
| `connection_params` | Connection settings passed to `python-oracledb`, such as `user`, `password` and `dsn`. See the [connection handling guide](https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html). | `None` |
| `use_connection_pool` | Create a connection pool from `connection_params` instead of a single connection | `True` |
| `client` | An existing `oracledb.Connection` or `oracledb.ConnectionPool` to use instead of building one from `connection_params` | `None` |
| `collection_name` | Name of the Oracle table that stores vectors and payloads | `mem0` |
| `embedding_model_dims` | Dimension of your embedding vectors, must be greater than 0 | `1536` |
| `distance_metric` | Distance function used for indexing and search: `COSINE`, `EUCLIDEAN`, `EUCLIDEAN_SQUARED`, `DOT`, `HAMMING` or `MANHATTAN` | `COSINE` |
| `do_create_index` | Whether to create a vector index on the collection | `True` |
| `index_type` | Vector index type: `HNSW` or `IVF` | `HNSW` |
| `index_name` | Name of the vector index | `<collection_name>_VEC_IDX` |
| `index_parameters` | Index tuning parameters. For `HNSW`: `neighbors`, `efconstruction`. For `IVF`: `neighbor partitions`, `samples_per_partition`, `min_vectors_per_partition`. | `None` |
| `index_accuracy` | Target index accuracy from 1 to 100, applied as `WITH TARGET ACCURACY <n>` | `None` |
<Note>
When you pass a pre-built `client`, Mem0 uses it as-is and ignores `connection_params` and `use_connection_pool`. Mem0 does not close a client it did not create.
</Note>
### Vector indexes
Set the index type with `index_type` and tune it with `index_parameters`:
```python
config = {
"vector_store": {
"provider": "oracledb",
"config": {
"connection_params": {"user": "mem0_user", "password": "your-password", "dsn": "localhost:1521/FREEPDB1"},
"index_type": "HNSW",
"index_parameters": {"neighbors": 32, "efconstruction": 200},
"index_accuracy": 95,
}
}
}
```
For the full list of supported options, see the Oracle [`CREATE VECTOR INDEX`](https://docs.oracle.com/en/database/oracle/oracle-database/26/sqlrf/create-vector-index.html) reference.
### Search scores
Oracle returns a distance from `VECTOR_DISTANCE`, which Mem0 converts to a `score` where higher means more similar. `COSINE` and the other non-negative metrics produce scores in the range `[0, 1]`. `DOT` returns the inner product, which can fall outside that range.
### Metadata filters
Filters run against the JSON `payload` column and support:
| Filter type | Examples |
| --- | --- |
| Scalar equality | `{"user_id": "alice"}` |
| Field existence | `{"agent_id": "*"}` |
| Comparison | `{"score": {"gte": 0.5}}`, also `eq`, `ne`, `gt`, `lt`, `lte` |
| Membership | `{"category": {"in": ["movies", "books"]}}`, also `nin` |
| String matching | `{"title": {"contains": "sci-fi"}}`, also `icontains` for case-insensitive |
| Logical groups | `{"AND": [...]}`, `{"OR": [...]}`, `{"NOT": [...]}` |
Multiple fields at the top level are combined with `AND`:
```python
m.search(
"movie recommendations",
user_id="alice",
filters={"category": {"in": ["movies", "books"]}, "rating": {"gte": 4}},
)
```
+6
View File
@@ -60,6 +60,12 @@ await memory.add(messages, { userId: "alice", metadata: { category: "movies" } }
```
</CodeGroup>
### Hybrid keyword search
Mem0 blends semantic similarity with BM25 keyword scoring. On the TypeScript SDK, Qdrant computes the BM25 vectors server-side, which requires Qdrant 1.15.2 or newer with inference enabled. Qdrant Cloud enables inference by default only for clusters created after 2025-07-07; older clusters must activate it from the Cluster Detail page. The Python SDK encodes BM25 locally instead and needs the `fastembed` package, so scores are not numerically comparable between the two SDKs.
When BM25 is unavailable, or when the collection was created before hybrid search was added, Mem0 logs a warning and falls back to semantic-only search. Writes are unaffected. To enable keyword scoring on an older collection, use a fresh collection name.
### Config
Let's see the available parameters for the `qdrant` config:
@@ -115,6 +115,27 @@ $$;
Go to [Supabase](https://supabase.com/dashboard/projects) and run the above SQL migrations in the SQL Editor.
### Row Level Security
Tables created through the Supabase dashboard have Row Level Security (RLS) enabled by default with no policies attached. With RLS on and no policies, the TypeScript SDK's queries return zero rows with an HTTP 200 (no error is raised), which looks like an empty memory store rather than a permissions problem. If you use the SQL migrations above (via the SQL Editor), RLS is left in its default off state and this does not apply.
If your table has RLS enabled, add policies for the key your app uses (the example below grants full access to the `service_role` key; scope it down for anon/authenticated keys as needed):
```sql
alter table memories enable row level security;
create policy "Allow service role full access to memories"
on memories
for all
to service_role
using (true)
with check (true);
```
### PostgREST Row Limits
Supabase's PostgREST layer caps the number of rows returned by a single request at `db-max-rows` (1000 by default), for both `.select()` queries and RPC function calls like `match_vectors`. Requesting a `topK` above this limit for `search()` or `list()` will not raise an error, results are capped at `db-max-rows` instead. The TypeScript `list()` method paginates internally to work around this, but `search()` cannot since `match_vectors` has no offset parameter; it logs a warning when it detects a truncated result. Raise `db-max-rows` in your Supabase project settings if you need more than 1000 results per search.
### Config
Here are the parameters available for configuring Supabase:
+2 -1
View File
@@ -1,6 +1,6 @@
---
title: Overview
description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, and more."
description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, Oracle, and more."
---
Mem0 includes built-in support for various popular databases. Memory can utilize the database provided by the user, ensuring efficient use for specific needs.
@@ -21,6 +21,7 @@ See the list of supported vector databases below.
<Card title="Milvus" icon="/images/provider-icons/milvus.svg" href="/components/vectordbs/dbs/milvus"></Card>
<Card title="Pinecone" icon="/images/provider-icons/pinecone.svg" href="/components/vectordbs/dbs/pinecone"></Card>
<Card title="MongoDB" icon="/images/provider-icons/mongodb.svg" href="/components/vectordbs/dbs/mongodb"></Card>
<Card title="Oracle AI Vector Search" icon="/images/provider-icons/oracle.svg" href="/components/vectordbs/dbs/oracledb"></Card>
<Card title="Azure" icon="/images/provider-icons/azure-color.svg" href="/components/vectordbs/dbs/azure"></Card>
<Card title="Redis" icon="/images/provider-icons/redis.svg" href="/components/vectordbs/dbs/redis"></Card>
<Card title="Valkey" icon="/images/provider-icons/valkey.svg" href="/components/vectordbs/dbs/valkey"></Card>
@@ -55,9 +55,8 @@ await addUserPreferences();
```json Output
{
"message": "Memory processing has been queued for background execution",
"status": "PENDING",
"event_id": "9f8c2b1a-4e7d-4c3a-9b21-1a2b3c4d5e6f"
"event_id": "9f8c2b1a-4e7d-4c3a-9b21-1a2b3c4d5e6f",
"status": "PENDING"
}
```
</CodeGroup>
+10 -2
View File
@@ -85,7 +85,8 @@
"platform/features/advanced-retrieval",
"platform/advanced-memory-operations",
"platform/features/custom-instructions",
"platform/features/memory-decay"
"platform/features/memory-decay",
"platform/features/dream"
]
},
{
@@ -207,6 +208,7 @@
"components/vectordbs/dbs/milvus",
"components/vectordbs/dbs/pinecone",
"components/vectordbs/dbs/mongodb",
"components/vectordbs/dbs/oracledb",
"components/vectordbs/dbs/azure",
"components/vectordbs/dbs/azure_mysql",
"components/vectordbs/dbs/redis",
@@ -348,6 +350,8 @@
"pages": [
"integrations/dify",
"integrations/flowise",
"integrations/n8n",
"integrations/zapier",
"integrations/langchain-tools",
"integrations/agentops",
"integrations/respan",
@@ -633,7 +637,7 @@
},
{
"source": "/platform/features/expiration-date",
"destination": "/"
"destination": "/platform/features/memory-expiration"
},
{
"source": "/cookbooks/essentials/memory-expiration-short-and-long-term",
@@ -1234,6 +1238,10 @@
{
"source": "/platform/features/criteria-retrieval",
"destination": "/platform/features/advanced-retrieval"
},
{
"source": "/integrations/keywords",
"destination": "/integrations/respan"
}
]
}
BIN
View File
Binary file not shown.

After

Width:  |  Height:  |  Size: 5.5 KiB

+1 -49
View File
File diff suppressed because one or more lines are too long

Before

Width:  |  Height:  |  Size: 5.3 KiB

After

Width:  |  Height:  |  Size: 4.9 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 92 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 66 KiB

+1
View File
@@ -0,0 +1 @@
<svg fill="#8F74E0" role="img" viewBox="0 0 93.9 59.4" xmlns="http://www.w3.org/2000/svg"><title>Oracle</title><path d="M30.5,59.4H65c16.4-0.4,29.3-14.1,28.9-30.4C93.5,13.1,80.7,0.4,65,0H30.5C14.1-0.4,0.4,12.5,0,28.9s12.5,30,28.9,30.4C29.4,59.4,29.9,59.4,30.5,59.4 M64.2,48.9h-33c-10.6-0.3-18.9-9.2-18.6-19.8C13,19,21.1,10.8,31.2,10.5h33c10.6-0.3,19.5,8,19.8,18.6c0.3,10.6-8,19.5-18.6,19.8C65,48.9,64.6,48.9,64.2,48.9"/></svg>

After

Width:  |  Height:  |  Size: 427 B

+1 -1
View File
@@ -67,7 +67,7 @@ The plugin uses the same shell scripts as Claude Code, Cursor, and Codex: hooks
| **Post-tool** | `PostToolUse` | Tracks stats, scans bash errors for related memories |
| **Stop** | `Stop` | Stores a session summary at the end of every assistant turn (not just at session end) |
What you type is stored as yours. What the agent produces — session summaries and compaction summaries — is stored as the assistant's, so its suggestions never become your stated preferences.
What you type is stored as yours. What the agent produces (session summaries and compaction summaries) is stored as the assistant's, so its suggestions never become your stated preferences.
## Troubleshooting
+1 -1
View File
@@ -155,7 +155,7 @@ When installed via the plugin marketplace, Mem0 hooks into Claude Code's lifecyc
| **Stop** | `Stop` | Stores a session summary at the end of every assistant turn (not just at session end) |
| **Pre-compact** | `PreCompact` | Stores a summary before the context is compacted |
What you type is stored as yours. What Claude produces — session summaries and compaction summaries — is stored as the assistant's, so its suggestions never become your stated preferences.
What you type is stored as yours. What Claude produces (session summaries and compaction summaries) is stored as the assistant's, so its suggestions never become your stated preferences.
## Example Workflow
+1 -1
View File
@@ -128,7 +128,7 @@ When installed via the plugin marketplace, Mem0 hooks into Codex's lifecycle to
| **Stop** | `Stop` | Stores a session summary at the end of every assistant turn (not just at session end) |
| **Pre-compact** | `PreCompact` | Stores a summary before the context is compacted |
What you type is stored as yours. What Codex produces — session summaries and compaction summaries — is stored as the assistant's, so its suggestions never become your stated preferences.
What you type is stored as yours. What Codex produces (session summaries and compaction summaries) is stored as the assistant's, so its suggestions never become your stated preferences.
## Example Workflow
+2 -3
View File
@@ -98,9 +98,8 @@ add_result = add_tool.invoke(add_input)
```json Output
{
"message": "Memory processing has been queued for background execution",
"status": "PENDING",
"event_id": "3a1b2c3d-4e5f-6789-abcd-ef0123456789"
"event_id": "3a1b2c3d-4e5f-6789-abcd-ef0123456789",
"status": "PENDING"
}
```
</CodeGroup>
+157
View File
@@ -0,0 +1,157 @@
---
title: n8n
description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node, no code required."
---
Your n8n workflows start from zero on every run. The [`@mem0/n8n-nodes-mem0`](https://www.npmjs.com/package/@mem0/n8n-nodes-mem0) community node fixes that: store durable facts as memories, recall them in any later run, and hand the node to an [n8n AI Agent](https://docs.n8n.io/advanced-ai/) as a tool so it can remember and recall on its own.
## Overview
1. Install the node from n8n's community nodes panel.
2. Connect your Mem0 API key once as a credential.
3. Drop a **Mem0** node into any workflow to add, search, or manage memories.
4. Optionally attach it to an **AI Agent** node, where it becomes a tool the agent calls itself.
## Prerequisites
1. A Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">API Keys dashboard</a> (sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">app.mem0.ai</a> if you do not have an account).
2. A **self-hosted** n8n instance. Installing community nodes from npm is a self-hosted feature; n8n Cloud only offers nodes that n8n has verified.
3. Owner access to that instance, since only instance owners can install community nodes.
## Installation
<Steps>
<Step title="Open the community nodes panel">
In n8n, go to **Settings → Community Nodes** and select **Install**.
</Step>
<Step title="Install the package">
Enter `@mem0/n8n-nodes-mem0`, tick the risk acknowledgement, and select **Install**.
</Step>
<Step title="Create the credential">
Add a new **Mem0 API** credential and paste your API key. Leave **Base URL** at `https://api.mem0.ai` unless you run Mem0 somewhere else.
</Step>
</Steps>
<Info>
**Verify the install:** search the nodes panel for `Mem0`. The node should appear with a **Memory** resource offering Add, Search, Get, Get Many, Update, and Delete.
</Info>
## Quickstart
A two-node workflow that writes a memory and reads it back:
```text
Manual Trigger → Mem0 (Add) → Mem0 (Search)
```
<Steps>
<Step title="Add a memory">
Add a **Mem0** node, keep **Operation: Add**, set **User ID** to `alice`, and add one message with **Role** `user` and **Content**:
`I am vegetarian and I never eat mushrooms.`
</Step>
<Step title="Search for it">
Add a second **Mem0** node with **Operation: Search**, **User ID** `alice`, and **Query** `what does the user eat?`.
</Step>
<Step title="Run it">
Select **Test workflow**. The Search node returns the extracted dietary memory.
</Step>
</Steps>
<Note>
Extraction is asynchronous. The Add node's **Wait for Completion** option is on by default, so it polls until extraction finishes before the next node runs. If you turn it off, allow a few seconds before searching for what you just wrote.
</Note>
## Use it as an AI Agent tool
The node is marked `usableAsTool`, so an n8n **AI Agent** (Tools Agent) can call it without any wiring on your side:
```text
Chat Trigger → AI Agent ──tool──▶ Mem0 (Search)
──tool──▶ Mem0 (Add)
```
Attach one Mem0 node set to **Search** and one set to **Add**. The agent searches memory before answering and writes back durable facts after a meaningful exchange. Keep **User ID** the same on both.
## Operations
The node wraps the hosted Mem0 REST API and supports six operations on the **Memory** resource:
| Operation | What it does | Endpoint |
| --- | --- | --- |
| **Add** | Extract and store memories from messages | `POST /v3/memories/add/` |
| **Search** | Semantic search over stored memories | `POST /v3/memories/search/` |
| **Get Many** | List stored memories (one page, or **Return All**) | `POST /v3/memories/` |
| **Get** | Fetch a single memory by ID | `GET /v1/memories/{id}/` |
| **Update** | Change a memory's text or metadata | `PUT /v1/memories/{id}/` |
| **Delete** | Delete a single memory by ID | `DELETE /v1/memories/{id}/` |
### Add
Extracts and stores memories from one or more messages. Supply at least one entity id (**User ID**, or **Agent ID** / **App ID** / **Run ID** under Additional Fields); the node checks this before calling the API.
**Additional Fields:**
| Field | Purpose |
| --- | --- |
| **Agent ID** | Scopes the memory to an agent |
| **App ID** | Scopes the memory to an app or project |
| **Run ID** | Scopes the memory to a single session or run |
| **Metadata (JSON)** | Arbitrary JSON attached to each extracted memory |
| **Infer** | On by default. Turn off to store messages verbatim instead of running LLM extraction |
| **Custom Instructions** | Free-text guidance steering what the extractor keeps or ignores, for this call |
| **Custom Categories** | JSON array of `{category: description}` objects, replacing the project-level catalog for this call |
| **Includes** | Only extract memories matching this description |
| **Excludes** | Skip memories matching this description |
**Includes** and **Excludes** narrow what extraction keeps. Sending *"I am vegetarian and I never eat mushrooms. I drive a blue Toyota Corolla and my parking spot is B12"* stores three memories by default; with `Includes: "only record food and diet preferences"` it stores just the dietary one.
### Search
Semantic search over stored memories. Takes a **Query**, at least one entity id, and an optional **Limit**.
### Get Many
Lists stored memories for the entity ids you supply. Turn on **Return All** to page through everything automatically, or leave it off to fetch a single **Page**. **Page Size** applies either way.
### Get, Update, Delete
Operate on one memory by **Memory ID**. Update accepts new **Text** and/or **Metadata (JSON)**.
## Entity filters on Search and Get Many
Both operations take **User ID**, **Agent ID**, **App ID**, and **Run ID**. At least one is required, since the API rejects a query with no entity scope, and the node fails with a clear message before making the call if all four are empty.
Supply several and they combine with **OR**, so the result is the union of those scopes:
```json
{ "OR": [{ "user_id": "alice" }, { "agent_id": "support-bot" }] }
```
<Warning>
This is deliberate, not a shortcut. Mem0 indexes each entity separately, so an `AND` across `user_id` and `agent_id` matches nothing even when a memory was written with both. To narrow rather than widen, run one operation per entity id.
</Warning>
## Choosing a User ID
The **User ID** is a stable string you pick to identify whose memories these are. It is not looked up in the dashboard, so any consistent value works: your app's internal user ID, an email, or a UUID. Use the same value across Add, Search, and Get Many or recall returns nothing.
## Troubleshooting
- **The node does not appear in the panel**: community nodes install on self-hosted n8n only, and only instance owners can install them. On n8n Cloud, this node is not yet available.
- **`401 Unauthorized`**: the API key is wrong or was revoked. Regenerate it in the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">API Keys dashboard</a> and update the credential.
- **"Provide at least one of User ID, Agent ID, App ID, or Run ID"**: every Add, Search, and Get Many needs an entity scope. Fill in at least one.
- **Search returns nothing right after an Add**: extraction is asynchronous. Leave **Wait for Completion** on, or add a short Wait node before searching.
- **Searching two entity ids returns more than expected**: multiple ids are combined with OR by design. Run one operation per id to narrow.
- **"Timed out waiting for memory event"**: the add was accepted and is likely still finishing on the server. A timeout here does not mean it failed.
<CardGroup cols={2}>
<Card title="Zapier Integration" icon="bolt" href="/integrations/zapier">
Add memory to Zaps across thousands of apps
</Card>
<Card title="Flowise Integration" icon="blocks" href="/integrations/flowise">
Add memory to Flowise chatflows
</Card>
</CardGroup>
<Snippet file="star-on-github.mdx" />
+143
View File
@@ -0,0 +1,143 @@
---
title: Zapier
description: "Add, search, and manage Mem0 memories from any Zap using the Mem0 Zapier app, no code required."
---
Zaps fire and forget. The [Mem0](https://mem0.ai) app gives them memory: store durable facts from a form submission, a support ticket, or a chat message, then recall them later from any of [Zapier's](https://zapier.com) thousands of apps. No code, no server.
## Overview
1. Connect your Mem0 API key once as a Zapier connection.
2. Use **Add Memory** to store what a Zap learns.
3. Use **Search Memories** or **Get Memories** to pull that context back into a later step.
4. Use **Delete Memory** to remove one by ID.
## Prerequisites
1. A Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">API Keys dashboard</a> (sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">app.mem0.ai</a> if you do not have an account).
2. A Zapier account on any plan.
<Note>
The Mem0 app is not yet listed in Zapier's public App Directory, so you need an invite link to add it to a Zap. Email [support@mem0.ai](mailto:support@mem0.ai) to request one.
</Note>
## Setup
<Steps>
<Step title="Add a Mem0 step">
In the Zap editor, search for **Mem0** and pick an action such as **Add Memory**.
</Step>
<Step title="Connect your account">
Select **Sign in**, paste your **Mem0 API Key** (it starts with `m0-`), and leave **Base URL** at `https://api.mem0.ai` unless you run Mem0 somewhere else.
</Step>
<Step title="Confirm the connection">
Zapier validates the key against Mem0 the moment you save it. A connection labelled **Mem0** means the key works.
</Step>
</Steps>
<Info>
The key is a password field, so Zapier masks it in the editor. It is sent to Mem0 as `Authorization: Token <key>`.
</Info>
## Quickstart
Remember what a user tells you:
```text
Trigger (form, chat, ticket) → Mem0: Add Memory
```
Set **Content** to the message text and **User ID** to a stable identifier for that person, such as their email.
Then recall it in a later Zap:
```text
Trigger (new message) → Mem0: Search Memories → Send reply
```
Set **Query** to the incoming message and **User ID** to the same value. The matched memories become available to every step after it.
<Note>
Extraction is asynchronous. **Add Memory** returns immediately with an event ID by default, so a Search fired a second later may not see the new memory yet. See [Waiting for extraction](#waiting-for-extraction).
</Note>
## Actions
| Type | Action | What it does | Endpoint |
| --- | --- | --- | --- |
| Create | **Add Memory** | Extract and store memories from a message | `POST /v3/memories/add/` |
| Search | **Search Memories** | Semantic search over stored memories | `POST /v3/memories/search/` |
| Search | **Get Memories** | List stored memories, one page at a time | `POST /v3/memories/` |
| Create | **Delete Memory** | Delete a single memory by ID | `DELETE /v1/memories/{id}/` |
### Add Memory
| Field | Required | Purpose |
| --- | --- | --- |
| **Content** | Yes | The message text to extract memories from |
| **Role** | | `User` (default), `Assistant`, or `System` |
| **User ID** | | Scopes the memory to a person |
| **Agent ID** | | Scopes the memory to an agent |
| **Run ID** | | Scopes the memory to a single session or run |
| **Metadata (JSON)** | | Arbitrary JSON attached to each extracted memory |
| **Custom Instructions** | | Free-text guidance steering what the extractor keeps or ignores, for this call |
| **Custom Categories (JSON)** | | JSON array of `{category: description}` objects, replacing the project-level catalog for this call |
| **Includes** | | Only extract memories matching this description |
| **Excludes** | | Skip memories matching this description |
| **Infer** | | On by default. Turn off to store the message verbatim instead of running LLM extraction |
| **Wait for Completion** | | Off by default. Turn on to poll until extraction finishes and return the resulting memories |
**Includes** and **Excludes** narrow what extraction keeps. Sending *"I am vegetarian and I never eat mushrooms. I drive a blue Toyota Corolla and my parking spot is B12"* stores three memories by default; with `Includes: "only record food and diet preferences"` it stores just the dietary one.
#### Waiting for extraction
Extraction runs asynchronously, so **Add Memory** returns an event ID and moves on unless you turn on **Wait for Completion**. When you do, the step polls for up to 60 seconds and returns the extracted memories instead.
<Warning>
Extraction can take longer than Zapier allows a single step to run, which is why waiting is opt-in. If the step times out, the add was still accepted and typically completes on Mem0's side, so do not retry it blindly.
</Warning>
### Search Memories
| Field | Required | Purpose |
| --- | --- | --- |
| **Query** | Yes | Natural-language search text |
| **User ID** | Yes | Whose memories to search. The API needs an entity filter |
| **Limit** | | Maximum results, default `50` |
### Get Memories
| Field | Required | Purpose |
| --- | --- | --- |
| **User ID** | Yes | Whose memories to list |
| **Limit** | | Memories per page, default `50` |
| **Page** | | Which page to return, 1-based, default `1` |
Returns one page per run. Raise **Page** to walk through larger result sets.
### Delete Memory
Takes a **Memory ID** and deletes that memory. Pair it with **Search Memories** or **Get Memories** to get the ID first.
## Choosing a User ID
The **User ID** is a stable string you pick to identify whose memories these are. It is not looked up in the dashboard, so any consistent value works: your app's internal user ID, an email, or a UUID. Use the same value on Add, Search, and Get Memories or recall returns nothing.
## Troubleshooting
- **Mem0 does not appear in the Zap editor**: the app is not yet in the public App Directory. Email [support@mem0.ai](mailto:support@mem0.ai) for an invite link.
- **The connection fails when you paste the key**: check that it starts with `m0-` and has not been revoked in the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">API Keys dashboard</a>.
- **Search returns nothing right after an Add**: extraction is asynchronous. Turn on **Wait for Completion**, or put a Zapier **Delay** step before the Search.
- **"Metadata must be valid JSON" or "Custom Categories must be valid JSON"**: those fields take raw JSON. Check for smart quotes and trailing commas.
- **The Add step times out**: the memory was still accepted and is likely finishing server-side. Confirm with **Get Memories** before re-running.
<CardGroup cols={2}>
<Card title="n8n Integration" icon="diagram-project" href="/integrations/n8n">
Build workflows with the Mem0 n8n community node
</Card>
<Card title="Flowise Integration" icon="blocks" href="/integrations/flowise">
Add memory to Flowise chatflows
</Card>
</CardGroup>
<Snippet file="star-on-github.mdx" />
+13 -13
View File
@@ -10,7 +10,7 @@ mode: "custom"
</h1>
<p className="max-w-3xl mx-auto text-base text-gray-600 dark:text-zinc-400 leading-relaxed">
Universal, self-improving memory layer for LLM applications.
Mem0 gives your AI agents long-term memory that persists across sessions, tools, and runs.
</p>
</div>
@@ -34,10 +34,10 @@ mode: "custom"
/>
<div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
<h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
Add memory to your app
Store your first memory
</h3>
<p className="text-sm text-gray-600 dark:text-zinc-400">
Start with the quickstart and store your first memory in minutes.
Five-minute quickstart: get an API key, then save and search a memory in Python or JavaScript.
</p>
</div>
</a>
@@ -60,10 +60,10 @@ mode: "custom"
/>
<div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
<h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
Add memory to your agent
Add memory to your coding agent
</h3>
<p className="text-sm text-gray-600 dark:text-zinc-400">
Give Claude Code, Cursor, and Codex memory that persists across sessions. A drop-in plugin, no code to write.
Plugins that let Claude Code, Cursor, Codex, and other harnesses remember your project. Opens the Claude Code guide.
</p>
</div>
</a>
@@ -86,10 +86,10 @@ mode: "custom"
/>
<div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
<h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
Sign up for Mem0 as an agent
Let an AI agent sign itself up
</h3>
<p className="text-sm text-gray-600 dark:text-zinc-400">
Let an AI agent mint a Mem0 API key, claim ownership later, and write its first memory from the terminal.
Four terminal commands create an account and API key. No email, no dashboard. Claim it as owner later.
</p>
</div>
</a>
@@ -112,10 +112,10 @@ mode: "custom"
/>
<div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
<h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
Explore Mem0 integrations
Use Mem0 with your framework
</h3>
<p className="text-sm text-gray-600 dark:text-zinc-400">
Connect Mem0 to LangChain, CrewAI, Vercel AI SDK, and 20+ partner frameworks.
Setup guides for 22 tools, including LangChain, CrewAI, LlamaIndex, and the Vercel AI SDK.
</p>
</div>
</a>
@@ -138,10 +138,10 @@ mode: "custom"
/>
<div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
<h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
See memory-app examples
Copy a working example
</h3>
<p className="text-sm text-gray-600 dark:text-zinc-400">
Browse cookbooks for companions, support agents, voice agents, research tools, and more.
Full walkthroughs for companion chatbots, support agents, voice agents, and research tools.
</p>
</div>
</a>
@@ -164,10 +164,10 @@ mode: "custom"
/>
<div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
<h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
Self-host Mem0
Run Mem0 on your own servers
</h3>
<p className="text-sm text-gray-600 dark:text-zinc-400">
Use Open Source when you want memory without the hosted platform.
The open-source version. Run it as a library or a Docker stack, with your data on your infrastructure.
</p>
</div>
</a>
+6 -3
View File
@@ -38,7 +38,7 @@ This mints an evaluation key in <5 seconds. Use it immediately against the Platf
## Identify the User's Setup
Look at the user's imports first - they determine which product (Platform vs OSS) and which language you should quote docs from. **Mem0 Platform (managed) is the recommended path** - 4-line integration, sub-50ms retrieval, no infra. Route to OSS only when the user has an explicit self-hosting requirement.
Look at the user's imports first - they determine which product (Platform vs OSS) and which language you should quote docs from. **Mem0 Platform (managed) is the recommended path** - 4-line integration, no infra to run. Route to OSS only when the user has an explicit self-hosting requirement.
### Platform - Python [Platform]
@@ -170,7 +170,7 @@ If the user is on a pre-current major (Python < 2, TS < 3, or Platform `output_f
- [Introduction](https://docs.mem0.ai/introduction) [Both]: Use when the user wants a one-page overview of how memory fits between the LLM and the app.
- [Vibe Code with Mem0](https://docs.mem0.ai/vibecoding) [Both]: Use when the user is in Claude Code, Cursor, or Windsurf and wants memory wired into their editor.
- [Platform Overview](https://docs.mem0.ai/platform/overview) [Platform]: Use when the user picks the managed product - 4-line integration, sub-50ms retrieval, dashboard.
- [Platform Overview](https://docs.mem0.ai/platform/overview) [Platform]: Use when the user picks the managed product - 4-line integration, hosted API, dashboard.
- [Sign up as an agent](https://docs.mem0.ai/platform/agent-signup) [Platform]: Use when an AI agent needs to mint a Mem0 API key autonomously - four commands, no email or dashboard, human claims ownership later.
- [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss) [Both]: Use when the user is deciding between managed and self-hosted.
- [Platform Quickstart](https://docs.mem0.ai/platform/quickstart) [Platform]: Use for the first Platform integration - API key plus `MemoryClient.add/search`.
@@ -207,6 +207,7 @@ If the user is on a pre-current major (Python < 2, TS < 3, or Platform `output_f
- [Temporal Reasoning](https://docs.mem0.ai/platform/features/temporal-reasoning) [Platform]: Use when time-aware searches like last week, upcoming, or right now need better result ordering.
- [Custom Instructions](https://docs.mem0.ai/platform/features/custom-instructions) [Platform]: Use when tailoring what Mem0 extracts and stores on Platform.
- [Memory Decay](https://docs.mem0.ai/platform/features/memory-decay) [Platform]: Use when search results should boost recently-reinforced memories and dampen stale ones. Opt in per project; applies at search time and never filters candidates out.
- [Dream](https://docs.mem0.ai/platform/features/dream) [Platform]: Use when long-lived user memory should stay coherent on its own - synthesizing recurring patterns, superseding outdated facts, and merging duplicates in the background. Synthesis is opt-in (Pro+); Supersede and Merge are always on.
- [Advanced Memory Operations](https://docs.mem0.ai/platform/advanced-memory-operations) [Platform]: Use when basic CRUD is not enough - batch ops, complex filters, workflows.
### Features - Data Management
@@ -281,6 +282,8 @@ If the user is on a pre-current major (Python < 2, TS < 3, or Platform `output_f
### Developer Tools
- [Dify](https://docs.mem0.ai/integrations/dify) [Both]: Use when the user is on Dify LLMOps.
- [Flowise](https://docs.mem0.ai/integrations/flowise) [Both]: Use when the user is on Flowise no-code.
- [n8n](https://docs.mem0.ai/integrations/n8n) [Both]: Use when the user builds workflows or AI agents in n8n.
- [Zapier](https://docs.mem0.ai/integrations/zapier) [Both]: Use when the user automates workflows with Zapier.
- [AgentOps](https://docs.mem0.ai/integrations/agentops) [Both]: Use when tracking agent observability with memory metadata.
- [Respan](https://docs.mem0.ai/integrations/respan) [Both]: Use when monitoring Mem0 with Respan (formerly Keywords AI) LLM observability.
- [Raycast](https://docs.mem0.ai/integrations/raycast) [Both]: Use when the user wants quick memory access via Raycast.
@@ -416,7 +419,6 @@ Editor-specific setup docs (already listed above under `## Integrations > AI Cod
### MCP Endpoints
- Hosted MCP server: `https://mcp.mem0.ai` - requires Platform API key. See `platform/mem0-mcp`.
- Self-hosted MCP server: ships with `openmemory/api/` (FastAPI) - runs against your own Qdrant + LLM stack.
## Community & Support
@@ -472,6 +474,7 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [Milvus](https://docs.mem0.ai/components/vectordbs/dbs/milvus) [OSS]: Use for large-scale Milvus deployments.
- [Pinecone](https://docs.mem0.ai/components/vectordbs/dbs/pinecone) [OSS]: Use when the user is on Pinecone managed.
- [MongoDB](https://docs.mem0.ai/components/vectordbs/dbs/mongodb) [OSS]: Use when Mongo Atlas Vector Search is the backing store.
- [Oracle AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/oracledb) [OSS]: Use when Oracle Database AI Vector Search is the backing store.
- [Azure AI Search](https://docs.mem0.ai/components/vectordbs/dbs/azure) [OSS]: Use when the user is on Azure AI Search.
- [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure_mysql) [OSS]: Use when vector search runs on Azure Database for MySQL.
- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis) [OSS]: Use when Redis Stack is the backing store.
+2 -3
View File
@@ -146,9 +146,8 @@ curl -X POST 'https://api.mem0.ai/v3/memories/?page=1&page_size=50' \
```json
{
"message": "Memory processing has been queued for background execution",
"status": "PENDING",
"event_id": "evt-uuid"
"event_id": "evt-uuid",
"status": "PENDING"
}
```
@@ -97,7 +97,7 @@ const results = await memory.search("What movies do I like?", {
### LLM reranker
To score with an LLM instead of a dedicated reranker, use the `llm_reranker` provider. It builds its own LLM from the reranker's config (defaulting to `openai` / `gpt-4o-mini`) rather than reusing the Memory's main `llm`:
To score with an LLM instead of a dedicated reranker, use the `llm_reranker` provider. It builds its own LLM from the reranker's config (defaulting to `openai` / `gpt-5-mini`) rather than reusing the Memory's main `llm`:
```typescript
const memory = new Memory({
@@ -137,7 +137,7 @@ const memory = new Memory({
| `zero_entropy` | `zerank-1` | `apiKey`, `model`, `topK` |
| `sentence_transformer` | `Xenova/ms-marco-MiniLM-L-6-v2` | `model`, `device`, `maxLength`, `normalize`, `topK` |
| `huggingface` | `Xenova/bge-reranker-base` | `model`, `device`, `maxLength`, `normalize`, `topK` |
| `llm_reranker` | `openai` / `gpt-4o-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
| `llm_reranker` | `openai` / `gpt-5-mini` | `provider`, `model`, `apiKey`, `llm` (nested override), `topK` |
<Note>
`rerank` is opt-in per search and a no-op when no `reranker` is configured. If the reranker call fails, Mem0 logs a warning and returns the original vector-ranked results.
+2 -3
View File
@@ -35,8 +35,7 @@ pip install mem0ai
from mem0 import Memory
m = Memory()
````
```
</Step>
<Step title="Add a memory">
@@ -46,7 +45,7 @@ messages = [
{"role": "assistant", "content": "Hey Alex! I'll remember your interests."}
]
m.add(messages, user_id="alex")
````
```
</Step>
+2260 -452
View File
File diff suppressed because it is too large Load Diff
+4 -2
View File
@@ -27,7 +27,7 @@ pip install mem0ai
</Step>
<Step title="Export your API key">
```bash
export MEM0_API_KEY="sk-platform-..."
export MEM0_API_KEY="m0-..."
```
</Step>
<Step title="Create an async client">
@@ -49,7 +49,7 @@ npm install mem0ai
</Step>
<Step title="Load your API key">
```bash
export MEM0_API_KEY="sk-platform-..."
export MEM0_API_KEY="m0-..."
```
</Step>
<Step title="Instantiate the client">
@@ -158,6 +158,8 @@ await memory.update(matches.results[0].id, {
## Clean up
Scope each delete call to a single entity id where possible; combining more than one entity filter in the same `delete_all` call is not guaranteed to AND them together today.
<Tabs>
<Tab title="Python">
<Steps>
+42 -26
View File
@@ -1,13 +1,19 @@
---
title: Sign up as an agent
description: "Zero-friction signup for AI agents: mint a working Mem0 API key in under five seconds. No email, no dashboard, no OTP."
description: "Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed."
icon: "robot"
iconType: "solid"
---
If you're an AI agent (Claude Code, Cursor, Codex, Cline, Aider, Windsurf, or any other autonomous coding tool), you don't need a human to set up Mem0 for you. Four commands (install, sign up, push a memory, search it) and you have persistent memory.
Normally a person signs up for Mem0, gets an API key from the dashboard, and hands it to their tools. Agent Mode skips that: a coding agent creates its own account from the terminal and starts storing memories immediately. A human can take ownership of that account later, without disrupting the agent.
## The 4-command demo
This page is written for both readers. The setup below is for the agent; [Claiming the account](#claiming-the-account-for-the-human-owner) is for the person who ends up owning it.
<Note>
**If you're an AI agent** (Claude Code, Cursor, Codex, Cline, Aider, Windsurf, or any other coding tool), run the four commands below. You don't need a human to set Mem0 up for you.
</Note>
## Sign up in four commands
<CodeGroup>
```bash npm
@@ -17,11 +23,11 @@ npm install -g @mem0/cli
# 2. Sign up as an agent (replace `claude-code` with your name)
mem0 init --agent --agent-caller claude-code
# 3. Push a memory
mem0 add "I am using mem0"
# 3. Store a memory
mem0 add "Prefers TypeScript over JavaScript for new projects"
# 4. Verify
mem0 search "am I using mem0"
# 4. Search it back
mem0 search "what language should I use"
```
```bash pip
@@ -31,14 +37,22 @@ pip install mem0-cli
# 2. Sign up as an agent (replace `claude-code` with your name)
mem0 init --agent --agent-caller claude-code
# 3. Push a memory
mem0 add "I am using mem0"
# 3. Store a memory
mem0 add "Prefers TypeScript over JavaScript for new projects"
# 4. Verify
mem0 search "am I using mem0"
# 4. Search it back
mem0 search "what language should I use"
```
</CodeGroup>
Step 2 prints your new account's default scope and how to hand the account to a human later:
```
✓ Agent Mode active. Default user_id: swift-otter-4821
To claim this account later: mem0 init --email <your-email>
```
That's it. Under 30 seconds from a fresh shell to a working memory store.
## Identify yourself with `--agent-caller`
@@ -46,17 +60,17 @@ That's it. Under 30 seconds from a fresh shell to a working memory store.
Replace `claude-code` in the `init` command with your actual agent name (`cursor`, `codex`, `cline`, `aider`, or any short label). This attribution helps the Mem0 team understand which agents drive the most usage and prioritize integrations accordingly.
<Tip>
**Forgot `--agent-caller` on init?** Run `mem0 identify <your-name>` after the fact, same key, just back-fills the attribution. Idempotent.
**Forgot `--agent-caller` when you ran `init`?** Run `mem0 identify <your-name>` afterwards. It keeps the same API key and just fills in the name, so it is safe to run more than once.
</Tip>
## What happened when you ran `mem0 init --agent`?
- A **shadow account** was minted on the Mem0 backend with a fresh API key.
- The key was saved to `~/.mem0/config.json` (mode 0600) on the machine you ran the command on.
- A default `user_id` was provisioned so `mem0 add` / `mem0 search` work without explicit scope flags.
- The account is **unclaimed**; no human owns it yet.
- A new Mem0 account was created with its own API key.
- The key was saved to `~/.mem0/config.json` on that machine, readable only by you (file mode `0600`).
- A default `user_id` was created, so `mem0 add` and `mem0 search` work without you passing scope flags.
- **Nobody owns the account yet.** It works, but no human is attached to it until someone claims it.
Every command run against this key prints a one-line reminder asking you to surface the claim instructions to your human user.
Every command run with this key prints a one-line reminder to pass the claim instructions on to your human.
## Claiming the account (for the human owner)
@@ -66,7 +80,7 @@ When the human is ready to take ownership of the agent's account (and all the me
mem0 init --email you@yourcompany.com
```
The CLI detects the existing Agent Mode config, sends a verification code, and upgrades the shadow account in-place:
The CLI spots the existing Agent Mode setup, emails a verification code, and upgrades the account in place:
- **The API key never changes**, so the agent isn't disrupted.
- **All memories transfer** to the human's account.
@@ -76,31 +90,33 @@ Pass `--code 123456` to skip the interactive code prompt for fully non-interacti
## Rate limits and quotas
Agent Mode signups are rate-limited to **5 per day per IP address** to prevent abuse. If you hit the limit, the CLI returns:
Agent Mode signups are limited to **5 per day per IP address** to prevent abuse. If you hit the limit, the CLI tells you so:
```
Daily Agent Mode signup limit reached for this network (5/day).
Try again from a different IP or after midnight UTC.
```
Unclaimed agent accounts get the standard Mem0 free-tier quotas. The human owner can upgrade after claiming.
Calling the API directly instead of through the CLI returns a plain `403 Forbidden` with no explanation and no `Retry-After` header, so handle that case yourself.
Until someone claims it, an agent account gets the standard Mem0 free-tier quotas. The human owner can upgrade after claiming.
## What's next
<CardGroup cols={2}>
<Card title="CLI Reference" icon="terminal" href="/platform/cli">
Full command-by-command reference for `mem0 add`, `mem0 search`, `mem0 list`, and the rest.
<Card title="CLI reference" icon="terminal" href="/platform/cli">
Every command in full: `mem0 add`, `mem0 search`, `mem0 list`, and the rest.
</Card>
<Card title="Memory Operations" icon="database" href="/core-concepts/memory-operations/add">
<Card title="Memory operations" icon="database" href="/core-concepts/memory-operations/add">
How `add`, `search`, `update`, and `delete` work under the hood.
</Card>
<Card title="Mem0 MCP" icon="plug" href="/platform/mem0-mcp">
Connect agents to Mem0 via the Model Context Protocol, as an alternative integration path.
Give your agent memory as a set of tools instead of shell commands.
</Card>
<Card title="Platform Overview" icon="star" href="/platform/overview">
The full Mem0 Platform feature set once you claim your account.
<Card title="Platform overview" icon="star" href="/platform/overview">
Everything the account unlocks once a human claims it.
</Card>
</CardGroup>
+132 -96
View File
@@ -9,9 +9,7 @@ The mem0 CLI lets you add, search, list, update, and delete memories directly fr
Both implementations provide identical behavior: same commands, same options, same output formats.
<Tip>
**Built for AI agents.** Pass `--agent` (or `--json`) as a global flag on any command to get structured JSON output optimized for programmatic consumption: sanitized fields, no colors or spinners, and errors as JSON too. Drop it into any agent tool loop with zero extra parsing.
</Tip>
Running it inside an agent? Put `--agent` before any command to get clean JSON instead of human output. See [Use with AI agents](#use-with-ai-agents).
## Installation
@@ -97,6 +95,8 @@ mem0 init --api-key m0-xxx --user-id alice --force
| `-u, --user-id` | Default user ID (skip prompt) |
| `--email` | Login via email verification code |
| `--code` | Verification code (use with `--email` for non-interactive login) |
| `--agent` | Create an Agent Mode account, with no email needed |
| `--agent-caller` | Name the agent running the command, such as `claude-code` |
| `--force` | Overwrite existing config without confirmation |
<Note>
@@ -117,12 +117,25 @@ echo "Loves hiking on weekends" | mem0 add --user-id alice
|------|-------------|
| `-u, --user-id` | Scope to a user |
| `--agent-id` | Scope to an agent |
| `--app-id` | Scope to an app |
| `--run-id` | Scope to a single run or session |
| `--messages` | Conversation messages as JSON |
| `-f, --file` | Read messages from a JSON file |
| `-m, --metadata` | Custom metadata as JSON |
| `--categories` | Categories (JSON array or comma-separated) |
| `--categories` | Rejected on `add`. Use `--custom-categories` instead |
| `--custom-categories` | Custom categories as a JSON array of `{name: description}` objects |
| `--custom-instructions` | Custom instructions for fact extraction |
| `--structured-data-schema` | Schema for structured data extraction, as JSON |
| `--timestamp` | Unix timestamp for the memory |
| `--expires` | Expiration date, after which the memory stops being returned |
| `--immutable` | Store the memory so it can never be updated or overwritten |
| `--no-infer` | Store the text exactly as given, skipping fact extraction |
| `-o, --output` | Output format: `text`, `json`, `quiet` |
<Note>
`--categories` is not supported on `add` and exits with an error pointing at `--custom-categories`.
</Note>
### `mem0 search`
Search memories using natural language.
@@ -135,11 +148,18 @@ mem0 search "preferred tools" --user-id alice --output json --top-k 5
| Flag | Description |
|------|-------------|
| `-u, --user-id` | Filter by user |
| `-k, --top-k` | Number of results (default: 10) |
| `--agent-id` | Filter by agent |
| `--app-id` | Filter by app |
| `--run-id` | Filter by run or session |
| `-k, --top-k` | Number of results (default: 10). `--limit` does the same thing |
| `--threshold` | Minimum similarity score (default: 0.3) |
| `--rerank` | Enable reranking |
| `--keyword` | Use keyword search instead of semantic |
| `--filter` | Advanced filter expression (JSON) |
| `--fields` | Return only the named fields |
| `--show-expired` | Include expired memories |
| `--reference-date` | Reference date for relative queries (`YYYY-MM-DD` or Unix timestamp) |
| `--latest-only` | Only return the latest version of each memory |
| `-o, --output` | Output format: `text`, `json`, `table` |
### `mem0 list`
@@ -155,11 +175,16 @@ mem0 list --user-id alice --after 2024-01-01 --page-size 50
| Flag | Description |
|------|-------------|
| `-u, --user-id` | Filter by user |
| `--agent-id` | Filter by agent |
| `--app-id` | Filter by app |
| `--run-id` | Filter by run or session |
| `--page` | Page number (default: 1) |
| `--page-size` | Results per page (default: 100) |
| `--category` | Filter by category |
| `--after` | Created after date (YYYY-MM-DD) |
| `--before` | Created before date (YYYY-MM-DD) |
| `--show-expired` | Include expired memories |
| `--latest-only` | Only return the latest version of each memory |
| `-o, --output` | Output format: `text`, `json`, `table` |
### `mem0 get`
@@ -171,6 +196,10 @@ mem0 get 7b3c1a2e-4d5f-6789-abcd-ef0123456789
mem0 get 7b3c1a2e-4d5f-6789-abcd-ef0123456789 --output json
```
| Flag | Description |
|------|-------------|
| `-o, --output` | Output format: `text`, `json` |
### `mem0 update`
Update the text or metadata of an existing memory.
@@ -181,6 +210,13 @@ mem0 update <memory-id> --metadata '{"priority": "high"}'
echo "new text" | mem0 update <memory-id>
```
| Flag | Description |
|------|-------------|
| `-m, --metadata` | Replace the memory's metadata with this JSON |
| `--expires` | Expiration date (YYYY-MM-DD) |
| `--timestamp` | Unix timestamp for the memory |
| `-o, --output` | Output format: `text`, `json`, `quiet` |
### `mem0 delete`
Delete a single memory, all memories for a scope, or an entire entity.
@@ -201,9 +237,14 @@ mem0 delete --all --user-id alice --dry-run
| Flag | Description |
|------|-------------|
| `-u, --user-id` | Scope the deletion to a user |
| `--agent-id` | Scope the deletion to an agent |
| `--app-id` | Scope the deletion to an app |
| `--run-id` | Scope the deletion to a run or session |
| `--all` | Delete all memories matching scope filters |
| `--entity` | Delete the entity and all its memories |
| `--project` | With `--all`: delete all memories project-wide |
| `--delete-linked` | Also delete memories linked to this memory |
| `--dry-run` | Preview without deleting |
| `--force` | Skip confirmation prompt |
@@ -217,6 +258,12 @@ mem0 import data.json --user-id alice
The file should be a JSON array where each item has a `memory` (or `text` or `content`) field and optional `user_id`, `agent_id`, and `metadata` fields.
| Flag | Description |
|------|-------------|
| `-u, --user-id` | Default user for items that do not set their own |
| `--agent-id` | Default agent for items that do not set their own |
| `-o, --output` | Output format: `text`, `json` |
### `mem0 config`
View or modify the local CLI configuration.
@@ -237,6 +284,18 @@ mem0 entity list agents --output json
mem0 entity delete --user-id alice --force
```
Deleting an entity removes it and every memory belonging to it. Preview first with `--dry-run`.
| Flag | Description |
|------|-------------|
| `-u, --user-id` | The user to delete |
| `--agent-id` | The agent to delete |
| `--app-id` | The app to delete |
| `--run-id` | The run or session to delete |
| `--dry-run` | Show what would be deleted, without deleting it |
| `--force` | Skip confirmation prompt |
| `-o, --output` | Output format: `text`, `json` |
### `mem0 event`
Inspect background processing events created by async operations (e.g. bulk deletes, large add jobs).
@@ -261,23 +320,15 @@ Verify your API connection and display the current project.
mem0 status
```
### `mem0 version`
### `mem0 whoami`
Print the CLI version.
Print the identity the CLI is currently using. After `mem0 init --agent`, the
server issues an identifier (`default_user_id`, for example
`user_a1b2c3d4e5f6`) and the CLI stores it in `~/.mem0/config.json`. That value
is the agent's stable identity across runs, and it is the row key on the
[AGENTRUSH leaderboard](https://mem0.ai/agentrush).
```bash
mem0 version
```
## Identity helper: `mem0 whoami`
After running `mem0 init --agent`, the CLI persists a server-issued identifier
(`default_user_id`, e.g. `user_a1b2c3d4e5f6`) in `~/.mem0/config.json`. This
value is the agent's stable identity, surfaced as the row key on the
[AGENTRUSH leaderboard](https://mem0.ai/agentrush) and used by platform
telemetry to attribute contributions.
Print it without parsing the config file by hand:
Use this instead of parsing the config file by hand:
```bash
mem0 whoami
@@ -288,89 +339,47 @@ mem0 whoami
No network call. The command exits with code `1` if no `default_user_id` is
configured yet. In that case, run `mem0 init --agent` first.
## AGENTRUSH: `mem0 agent-rush <add | search>`
### `mem0 identify`
AGENTRUSH is a 7-day public competition where AI agents (not humans) compete
inside a single shared Mem0 project. Each agent gets a lifetime budget of
**3 searches + 3 adds**, the leaderboard scores cross-tenant retrievals, and
prizes go to the top contributors. See [mem0.ai/agentrush](https://mem0.ai/agentrush)
for current event details.
Attach an agent name to an account created with `mem0 init --agent`, if you did
not pass `--agent-caller` at the time. It keeps the same API key and only fills
in the name, so it is safe to run more than once. See
[Sign up as an agent](/platform/agent-signup).
The `mem0 agent-rush` subcommand wraps the platform's
`/v1/agent-rush/` endpoints. Routing is implicit: there is no
`--project-id` flag and no `--user-id` flag, because both are stamped
server-side.
### `mem0 help`
### Bootstrap once, then play
```bash
# 1. Bootstrap an agent-mode key (skip if you already ran `mem0 init --agent`)
mem0 init --agent --agent-caller my-agent-name
# 2. Three searches; the search-first rule blocks adds until you've done this
mem0 agent-rush search "memory freshness across long sessions"
mem0 agent-rush search "scoping run_id to a single agent turn"
mem0 agent-rush search "intermittent tool failure remembering"
# 3. Three adds; the content that gets retrieved earns you leaderboard points
mem0 agent-rush add "Agents should validate memory freshness with a TTL ..."
mem0 agent-rush add "Scoping memories by run_id avoids cross-session ..."
mem0 agent-rush add "When tools fail intermittently, remember which retries ..."
# 4. Check your row
mem0 whoami
# Then visit https://mem0.ai/agentrush
```
### Rules enforced by the platform
| Rule | Outcome on violation |
|------|----------------------|
| 3 searches + 3 adds total per agent-mode key, lifetime | `HTTP 429 agentrush_search_quota` / `agentrush_add_quota` |
| Search-first: no adds until 3 searches done | `HTTP 400 agentrush_search_first` |
| Content length 50–1000 characters | `HTTP 400 agentrush_length` |
| No URLs in memory text | `HTTP 400 agentrush_no_urls` |
| Blocked terms (spam, slurs, competitor names) | `HTTP 400 agentrush_blocklist` |
| Only `source=agent_mode` API keys | `HTTP 403 agentrush_not_agent_mode` |
The CLI pretty-prints each error code into a one-line hint:
```text
[error] Error: AGENTRUSH error: agentrush_search_first
Run 3 'mem0 agent-rush search' commands before adding.
```
### Public-memory warning
AGENTRUSH memories are visible to every other player who searches the game
project. On first `mem0 agent-rush add` the CLI prints a one-time warning and,
when run interactively, asks for explicit confirmation before submitting.
**Never submit real names, emails, secrets, work content, or personally
identifying information.** The acknowledgement is stored under
`agent_rush.acknowledged_at` in `~/.mem0/config.json` so you are only asked
once per machine.
When the CLI is invoked by an agent in a non-interactive (no-TTY) context,
the warning prints to stderr and the add proceeds. Agents cannot answer
y/N prompts. Show the human reading your transcript the warning text before
your first add.
Print the command tree. Adding `--json` returns the whole tree as structured
data, so an agent can discover the available commands and options for itself.
## Output formats
All commands support the `--output` flag to control how results are displayed:
Most commands take `-o, --output` to control how results are displayed. Not every command accepts every format:
| Format | Description |
|--------|-------------|
| `text` | Human-readable output with colors and formatting (default for most commands) |
| `json` | Structured JSON, suitable for piping to `jq` or consumption by AI agents |
| `table` | Tabular format (default for `list`) |
| `quiet` | Minimal output: just IDs or status codes |
| `agent` | Structured JSON envelope with sanitized fields, set automatically by `--json`/`--agent` |
| Format | Description | Accepted by |
|--------|-------------|-------------|
| `text` | Human-readable output with colors and formatting. The default everywhere except `list` | every command |
| `json` | Structured JSON, suitable for piping to `jq` | every command |
| `table` | Tabular format, and the default for `list` | `search`, `list` |
| `quiet` | Minimal output: just IDs or status codes | `add`, `update`, `delete` |
Example with JSON output:
Passing a format a command does not accept is an error, so check the command's own flag table above.
There is no `agent` value for `--output`. Agent mode is turned on by the global `--json`/`--agent` flag placed before the command name, and it overrides `--output`. See [Use with AI agents](#use-with-ai-agents).
The exact JSON shape depends on the command. `search` returns a bare array of memories, while `list` returns an envelope object with the memories under `data`:
```bash
mem0 search "user preferences" --user-id alice --output json | jq '.data.results[].memory'
# search: results are the top-level array
mem0 search "user preferences" --user-id alice --output json | jq '.[].memory'
# list: results are nested under .data
mem0 list --user-id alice --output json | jq '.data[].memory'
```
Agent mode always returns the envelope, whichever command you run, so `.data[]` works everywhere:
```bash
mem0 --agent search "user preferences" --user-id alice | jq '.data[].memory'
```
## Use with AI agents
@@ -424,6 +433,22 @@ Two other agent-friendly features:
For non-interactive environments (CI, agent runtimes), set credentials via `mem0 init --api-key m0-xxx --user-id alice --force` or the `MEM0_API_KEY` environment variable.
## Errors and exit codes
Every command exits `0` when it succeeds and `1` when it fails, so `if mem0 ...; then` works as you would expect in a script. In agent mode (`--json` or `--agent`), failures still print a JSON envelope to stdout alongside the non-zero exit, so you can parse successes and failures the same way.
Errors you are most likely to hit:
| Message | Cause | Fix |
|---------|-------|-----|
| `Authentication failed` | The API key is missing, wrong, or revoked | Run `mem0 init` again, or get a new key from the dashboard |
| `No content provided. Pass text, --messages, --file, or pipe via stdin.` | `mem0 add` was called with nothing to store | Give it text, a file, or piped input |
| `Invalid JSON in --messages` / `--metadata` / `--filter` | The JSON value would not parse | Check the quoting, especially inside shell single quotes |
| `Invalid date format for --expires. Use YYYY-MM-DD` | `--expires` got something other than a date | Use `YYYY-MM-DD`, and make sure the date is in the future |
| `--threshold must be between 0.0 and 1.0.` | Score threshold out of range | Pass a value between `0.0` and `1.0` |
Run [`mem0 status`](#mem0-status) to check whether the CLI can reach the API and which project the key belongs to. It reports the connection state, the API URL, and any error.
## Environment variables
| Variable | Description |
@@ -434,17 +459,28 @@ For non-interactive environments (CI, agent runtimes), set credentials via `mem0
| `MEM0_AGENT_ID` | Default agent ID |
| `MEM0_APP_ID` | Default app ID |
| `MEM0_RUN_ID` | Default run ID |
| `MEM0_TELEMETRY` | Set to `false` to turn off usage telemetry. On by default |
Environment variables take precedence over values in the config file, which take precedence over defaults.
## Global flags
These flags are available on all commands:
These two flags belong to `mem0` itself, so they go **before** the command name:
| Flag | Description |
|------|-------------|
| `--json` | Enable agent mode: structured JSON envelope output, no colors or spinners |
| `--agent` | Alias for `--json` |
| `--version` | Print the CLI version and exit |
<Warning>
On `init` only, `--agent` means something different. `mem0 init --agent` creates an Agent Mode account (see [Sign up as an agent](/platform/agent-signup)); it does not switch the output to JSON. To get JSON from `init`, put the flag first: `mem0 --json init`.
</Warning>
The following flags are accepted by most commands, but they belong to the command, so they go **after** the command name:
| Flag | Description |
|------|-------------|
| `--api-key` | Override the configured API key for this request |
| `--base-url` | Override the configured API base URL for this request |
| `-o, --output` | Set the output format |
@@ -456,11 +492,11 @@ These flags are available on all commands:
Store your first memory in under five minutes using the SDK or CLI
</Card>
<Card title="Memory Operations" icon="database" href="/core-concepts/memory-operations/add">
<Card title="Memory operations" icon="database" href="/core-concepts/memory-operations/add">
Learn about add, search, update, and delete operations in depth
</Card>
<Card title="API Reference" icon="code" href="/api-reference/memory/add-memories">
<Card title="API reference" icon="code" href="/api-reference/memory/add-memories">
See the complete REST API documentation
</Card>
</CardGroup>
+8 -6
View File
@@ -17,7 +17,7 @@ iconType: "solid"
</Accordion>
<Accordion title="What are the key features of Mem0?">
- **User, Session, and AI Agent Memory**: Retains information across sessions and interactions for users and AI agents, ensuring continuity and context.
- **User, Agent, App, and Run Memory**: Scopes memories to the individual, AI agent, application, and conversation/session they belong to, ensuring continuity and context.
- **Adaptive Personalization**: Continuously updates memories based on user interactions and feedback.
- **Developer-Friendly API**: Offers a straightforward API for seamless integration into various applications.
- **Platform Consistency**: Ensures consistent behavior and data across different platforms and devices.
@@ -84,10 +84,12 @@ iconType: "solid"
- Include specific examples or cases rather than general definitions
</Accordion>
<Accordion title="How do I configure Mem0 for AWS Lambda?">
When deploying Mem0 on AWS Lambda, you'll need to modify the storage directory configuration due to Lambda's file system restrictions. By default, Lambda only allows writing to the `/tmp` directory.
<Accordion title="How do I configure Mem0 for AWS Lambda? (self-hosted / OSS only)">
This applies only if you are running the self-hosted OSS `Memory` class yourself (for example with a local vector store) inside a Lambda function. If you're using the hosted Mem0 Platform (`MemoryClient`), there is nothing to configure here: the Platform stores all memory data on Mem0's servers, not on your Lambda instance's filesystem, so Lambda's `/tmp`-only write restriction does not apply to you.
To configure Mem0 for AWS Lambda, set the `MEM0_DIR` environment variable to point to a writable directory in `/tmp`:
When deploying self-hosted Mem0 on AWS Lambda, you'll need to modify the storage directory configuration due to Lambda's file system restrictions. By default, Lambda only allows writing to the `/tmp` directory.
To configure self-hosted Mem0 for AWS Lambda, set the `MEM0_DIR` environment variable to point to a writable directory in `/tmp`:
```bash
MEM0_DIR=/tmp/.mem0
@@ -149,7 +151,7 @@ iconType: "solid"
2. Go to **Settings → Account**.
3. Click **Delete account** and confirm.
Deletion is immediate and irreversible. The following is removed:
Deletion is asynchronous: the request is accepted immediately and processed in the background, typically within a few minutes. Once it completes, the following is removed:
- Your user profile and login credentials
- All memories, agents, and runs you created
@@ -157,7 +159,7 @@ iconType: "solid"
- Organizations you solely own, along with their data
- Your membership in any shared organizations (the orgs themselves are not affected)
Any application still using your old API keys will start receiving `401 Unauthorized` responses immediately. If you'd like to use Mem0 again later, you can create a new account at any time: it will start fresh with no data carried over.
Your old API keys stop working once deletion completes, not the instant you click confirm. If you'd like to use Mem0 again later, you can create a new account at any time: it will start fresh with no data carried over.
</Accordion>
</AccordionGroup>
+4 -20
View File
@@ -51,7 +51,7 @@ results = client.search(
# Smart home assistant finding device preferences
results = client.search(
query="How do I like my bedroom temperature?",
rerank=True, # Get most recent preferences first
rerank=True, # Closest-matching preferences first
filters={"user_id": "user123"},
)
@@ -86,7 +86,7 @@ results = client.search(
# Find learning progress for specific topics
results = client.search(
query="Python programming progress and difficulties",
rerank=True, # Recent progress first
rerank=True, # Closest-matching progress notes first
filters={"user_id": "student123"},
)
@@ -108,21 +108,13 @@ def quick_search(query, user_id):
filters={"user_id": user_id},
)
# Reranked search - good for most applications
# Reranked search - good when result order matters
def standard_search(query, user_id):
return client.search(
query=query,
rerank=True,
filters={"user_id": user_id},
)
# Reranked search - good for critical applications
def precise_search(query, user_id):
return client.search(
query=query,
rerank=True,
filters={"user_id": user_id},
)
```
```javascript JavaScript
@@ -133,21 +125,13 @@ function quickSearch(query, userId) {
});
}
// Reranked search - good for most applications
// Reranked search - good when result order matters
function standardSearch(query, userId) {
return client.search(query, {
filters: { user_id: userId },
rerank: true,
});
}
// Reranked search - good for critical applications
function preciseSearch(query, userId) {
return client.search(query, {
filters: { user_id: userId },
rerank: true,
});
}
```
</CodeGroup>
+2 -2
View File
@@ -66,7 +66,7 @@ await client.search("What is Alice's favorite sport?", filters={"user_id": "alic
```
```javascript JavaScript
await client.search("What is Alice's favorite sport?", { filters: { userId: "alice" } });
await client.search("What is Alice's favorite sport?", { filters: { user_id: "alice" } });
```
</CodeGroup>
@@ -124,7 +124,7 @@ await client.deleteAll({ userId: "alice" });
</CodeGroup>
<Note>
At least one filter (`user_id`, `agent_id`, `app_id`, or `run_id`) is required: calling `delete_all` with no filters raises an error to prevent accidental data loss. You can pass `"*"` as a value to delete all memories for a given entity type (e.g., `user_id="*"` removes memories for every user). A full project wipe requires all four filters set to `"*"`.
At least one filter (`user_id`, `agent_id`, `app_id`, or `run_id`) is required: calling `delete_all` with no filters raises an error to prevent accidental data loss. You can pass `"*"` as a value to delete all memories for a given entity type (e.g., `user_id="*"` removes memories for every user). A full project wipe requires all four filters set to `"*"`. When multiple entity filters are combined on a single `delete_all` call, only one is currently guaranteed to be honored; scope each call to a single entity id to be safe.
</Note>
### History
+13 -5
View File
@@ -75,6 +75,8 @@ print(response)
```
</CodeGroup>
This "Updated custom categories" message is specific to a PATCH-style partial update, which is what `client.project.update()` sends. Calling the raw API with a full PUT instead returns a generic `{"message": "Project updated successfully."}`, regardless of which fields changed.
### 2. Confirm the active catalog
<CodeGroup>
@@ -86,16 +88,19 @@ print(categories)
```json Output
{
"name": "default-project",
"description": null,
"custom_categories": [
{"lifestyle_management_concerns": "Tracks daily routines, habits, hobbies and interests including cooking, time management and work-life balance"},
{"seeking_structure": "Documents goals around creating routines, schedules, and organized systems in various life areas"},
{"personal_information": "Basic information about the user including name, preferences, and personality traits"}
]
],
"custom_instructions": null
}
```
</CodeGroup>
`get` echoes back the shape you set. `update` also accepts a plain list of names, such as `["billing", "support"]`, in which case `get` returns that same list of names. Descriptions are optional here, and the classifier uses them to disambiguate when it has them.
`project.get()` always returns the full project object, not just the fields you asked for. The `fields` parameter is accepted but has no filtering effect server-side, so read `custom_categories` off the full response. `update` also accepts a plain list of names, such as `["billing", "support"]`, in which case `custom_categories` comes back as that same list of names. Descriptions are optional here, and the classifier uses them to disambiguate when it has them.
<Warning>
`add` is stricter than `update`. Every entry in a per-call `custom_categories` list must be an object mapping a name to a description. Passing bare names to `add` fails with `400 Expected a dictionary of items but got type "str"`.
@@ -306,16 +311,19 @@ client.project.get(["custom_categories"])
```json Output
{
"custom_categories": null
"name": "default-project",
"description": null,
"custom_categories": null,
"custom_instructions": null
}
```
</CodeGroup>
A project that has never set a list returns `null`. One you have reset with `project.update(custom_categories=[])` returns `[]`. Both mean the default catalog is active.
The response is always the full project object; `["custom_categories"]` does not filter it down. A project that has never set a list returns `custom_categories: null`. One you have reset with `project.update(custom_categories=[])` returns `[]`. Both mean the default catalog is active.
## Verify the feature is working
- `client.project.get(["custom_categories"])` returns the category list you set.
- `client.project.get(["custom_categories"])` returns the full project object; read the `custom_categories` key off it to see the list you set.
- `client.get_all(filters={"user_id": ...})` shows populated `categories` lists on new memories.
- The Mem0 dashboard (Project → Memories) displays the custom labels in the Category column.
@@ -68,6 +68,8 @@ console.log(response.customInstructions);
```
</CodeGroup>
`project.get()` always returns the full project object. The `fields` parameter is accepted but has no filtering effect server-side, so `response["custom_instructions"]` above is a key on the full response, not a pre-filtered payload.
### Best Practice Template
Structure your instructions using this proven template:
+24 -6
View File
@@ -22,17 +22,35 @@ messages = [
client.add(messages, user_id="alice", infer=False)
```
```markdown Output
[]
```json Output
{
"message": "Memories stored successfully",
"status": "SUCCEEDED",
"event_id": "8c1f5e2b-3d47-4a9e-b6c1-5f2a7d3e9b04",
"results": [
{
"id": "19d6d7aa-2454-4e58-96fc-e74d9e9f8dd1",
"data": { "memory": "Alice loves playing badminton" },
"event": "ADD"
},
{
"id": "8557f05d-7b3c-47e5-b409-9886f9e314fc",
"data": { "memory": "Alice mostly cooks at home because of her gym plan" },
"event": "ADD"
}
]
}
```
</CodeGroup>
You can see that the output of the add call is an empty list.
<Note>Only messages with the role "user" will be used for storage. Messages with roles such as "assistant" or "system" will be ignored during the storage process.</Note>
<Note>
Direct import stores `"user"` and `"assistant"` messages alike, regardless of which entity ids you pass. Only `"system"` messages are dropped. Each surviving message becomes one memory, with its content stored verbatim.
</Note>
<Warning>
Direct import skips the inference pipeline, so it also skips duplicate detection. If you later send the same fact with `infer=True`, Mem0 will store a second copy. Pick one mode per memory source unless you truly want both versions.
Direct import skips semantic duplicate detection: two different phrasings of the same fact will be stored as two separate memories. Exact repeats in the same scope are deduplicated by an exact hash of the text, so resending identical text is safe. Mixing `infer=False` and `infer=True` for the same fact can still produce two memories, since neither path checks the other for duplicates.
Direct import also does not support multimodal content (`image_url`, `pdf_url`, `txt_url`, `mdx_url`). Those messages are skipped without raising an error, so they are missing from `results` rather than reported as a failure. Pass plain string content only when `infer=False`.
</Warning>
## How to Retrieve Memories
+164
View File
@@ -0,0 +1,164 @@
---
title: Dream
description: "Dream keeps a user's memory clean over time by distilling recurring patterns, retiring outdated facts, and merging duplicates in the background."
---
# Dream
As an application talks to the same user over weeks and months, their memory grows. Some of that growth is signal, meaning new facts worth keeping. A lot of it is noise: the same preference stated three different ways, an old fact that a newer one has quietly replaced, or a set of small observations that only mean something when you look at them together.
**Dream** is the background layer that keeps a user's memory coherent as it grows. It continuously reviews each user's memories and does three things. It synthesizes higher-order patterns, supersedes outdated facts, and merges duplicates. The result is that what you read back stays sharp instead of drifting into a pile of overlapping, stale entries.
<Info>
**Dream matters when…**
- Your users interact with your product over a long period and accumulate a lot of memories.
- You want retrieval to return the *current* truth about a user, not a mix of old and new contradictory facts.
- You want higher-level insights ("this user consistently prefers X") without writing your own summarization layer.
</Info>
## The three actions of Dream
Dream is made of three independent actions. Two of them, Supersede and Merge, keep memory clean and run automatically for everyone. The third, Synthesis, produces new insight and is a toggle you turn on per project.
| Action | What it does | When it runs | Availability |
|---|---|---|---|
| **Synthesis** | Distills a user's memories into higher-order **pattern memories** | On a schedule, in the background | Opt-in (Pro and above) |
| **Supersede** | Marks an older fact as outdated when a newer one contradicts it | As memories are added | Always on, all plans |
| **Merge** | Folds a duplicate into a single canonical memory | As memories are added | Always on, all plans |
### Synthesis
Over time a user's memories often *imply* something larger than any single entry. Ten separate notes about early-morning meetings, workout logs, and coffee orders together say "this user is an early riser." **Synthesis** finds those recurring threads and writes them back as new **pattern memories**: concise, higher-order facts that capture what the individual memories only hint at.
- Pattern memories are added *alongside* your existing memories, never in place of them. The source memories stay exactly where they are.
- Each pattern memory keeps a link back to the specific memories it was distilled from, so an insight is always traceable to its evidence.
- Synthesis is additive and idempotent. Re-running it will not create duplicate patterns for the same underlying evidence.
**Example.** These four memories accumulate for the same user over time:
- *"User runs approximately 40 kilometers per week and is currently training for a marathon."*
- *"User lifts weights at the gym three times a week, primarily focusing on legs and back."*
- *"User tracks all workouts using a Garmin Forerunner watch."*
- *"User's goal for 2026 is to run a sub-4-hour marathon."*
Synthesis distills them into one pattern memory, kept alongside the originals:
> *"User follows a structured fitness routine that includes weekly long runs (≈40 km), regular leg-and-back strength training, tracks workouts with a Garmin device, and pursues progressive marathon time goals."*
Each source memory stays exactly where it was, and the new pattern links back to all of them as its evidence.
<Note>
Synthesis only considers memories created **after** you enable it for a project. Turning it on sets a forward boundary, so historical memories aren't reprocessed in bulk on day one. Everything added from that point on is eligible.
</Note>
<Note>
Synthesis only looks at memories scoped to a **`user_id` alone**. Memories that also carry another entity (an `agent_id`, `run_id`, or `app_id`) are left out of a user's synthesis run. This keeps each run tied to a single user's own memories and avoids cross-referencing across agents, runs, or apps. So a memory has to be user-scoped, with no other entity attached, to be eligible for a pattern.
</Note>
### Supersede
When a user tells you something that **contradicts** an earlier memory ("I moved to Berlin" after an earlier "I live in Lisbon"), Dream marks the older memory as **superseded** and links it to the newer fact that replaced it. Superseded memories are not deleted and not hidden by default. A normal `search` or `get` still returns them alongside your active memories, badged as superseded, so you keep the full history. When you want only the current truth, ask for it explicitly with `latest_only=true` (see [How reads change](#how-reads-change-with-dream) below). Supersede runs automatically as part of adding memories, on every plan.
**Example.** The user has an existing memory *"User drives a 2019 Subaru Outback."* Later they mention selling it, producing a new memory *"User sold their 2019 Subaru Outback and bought a Tesla Model 3."* Dream marks the Subaru memory as superseded and links it to the newer one. A default `search` returns both: the Tesla memory as active, and the Subaru one labelled superseded. Passing `latest_only=true` returns only *"User sold their 2019 Subaru Outback and bought a Tesla Model 3."*
### Merge
When a new memory is effectively a **duplicate** of one you already have, Dream keeps a single canonical memory instead of two near-identical copies. When a duplicate is stored as its own memory, Dream marks it **merged** and links it to the canonical one. The merged record is hidden from reads by default (you get the one canonical memory), retained rather than deleted, and surfaced with `include_merged=true`. Merge runs automatically as memories are added, on every plan, and keeps your memory set compact without you deduplicating by hand.
In practice, most exact or near-duplicate restatements of a fact you already have are recognised and deduplicated as the memory is added. No second copy is created, so you simply keep the one memory. A distinct `merged` record appears when a fuller version of an existing fact arrives and folds the barer one in.
**Example.** The user has an existing memory *"User has a dog named Rex."* Later they mention *"My dog Rex is a 3-year-old golden retriever."* The richer statement is stored and Dream marks the barer *"User has a dog named Rex"* as **merged** into it. A default read returns the single canonical memory *"User's dog Rex is a 3-year-old golden retriever"*, and `include_merged=true` also returns the merged original.
<Info>
**Nothing Dream does is destructive.** Superseded and merged memories are retained, never erased. Every change is recorded and reviewable, so you always know why a memory was retired or combined.
</Info>
## How reads change with Dream
Dream doesn't change the shape of your `add`, `search`, or `get` calls, so you don't touch your application code. What it changes is *which* memories a read returns by default, and it gives you two flags to widen or narrow that set:
| Read mode | Active | Superseded | Merged |
|---|:---:|:---:|:---:|
| **Default** (`search` / `get`) | ✓ | ✓ | ✗ |
| **`latest_only=true`** | ✓ | — | — |
| **`include_merged=true`** | ✓ | ✓ | ✓ |
- **By default**, a read returns active plus superseded memories (superseded ones are still there, labelled as history) and hides merged duplicates. Synthesized pattern memories are returned alongside these too.
- **`latest_only=true`** narrows the result to active memories only, meaning the current truth, with superseded and merged both excluded. Use this when you want the cleanest possible snapshot of the user right now.
- **`include_merged=true`** returns everything, including the merged duplicates, when you need the complete picture.
## Enabling Dream
Supersede and Merge require no setup. They're always on for every project on every plan.
Synthesis is opt-in per project:
1. Open the **[Dream settings for your project](https://app.mem0.ai/dashboard/dream)** in the Mem0 dashboard.
2. Toggle **Synthesis** on.
Synthesis is a per-project setting, so you can enable it for one project and compare against another with it off. You can turn it off at any time. Doing so is fully reversible and leaves every existing memory (including already-synthesized patterns) untouched.
From the [Dream page](https://app.mem0.ai/dashboard/dream) you can also review what Dream has done: recent synthesis runs, the patterns produced and their source memories, and the memories that were superseded or merged.
## Plan availability
| Capability | Free | Starter | Pro | Enterprise |
|---|:---:|:---:|:---:|:---:|
| **Supersede** (outdated facts flagged) | ✓ | ✓ | ✓ | ✓ |
| **Merge** (duplicates folded, hidden by default) | ✓ | ✓ | ✓ | ✓ |
| **Synthesis** (pattern memories written) | — | — | ✓ | ✓ |
| **Dream dashboard** (runs, activity) | — | — | ✓ | ✓ |
Synthesis requires a **Pro plan or higher**. Enterprise plans also get a faster, configurable schedule (see below).
## How often Dream runs, and what delay to expect
Different actions run on different clocks, so the delay you should expect depends on which action.
### Supersede & Merge, as memories are added
Supersede and Merge are part of the memory-addition pipeline. They're evaluated when a memory is added, so an outdated fact is superseded or a duplicate is merged as part of that add being processed, on the same timescale as the memory becoming searchable. There's no separate schedule to wait for.
### Synthesis, on a schedule in the background
Synthesis runs as a scheduled background job per user, not on every add. Two conditions gate it:
- **Enough to work with:** a user must have at least **20** memories before Synthesis considers them. Below that threshold there isn't a meaningful pattern to distill yet.
- **Cadence elapsed:** each user is re-synthesized at most once per cadence window.
| Plan | Synthesis cadence (per user) |
|---|---|
| Pro | Every **7 days** |
| Enterprise | **Daily** (and configurable) |
Because Synthesis is processed in batches in the background, **expect new pattern memories to appear within roughly 24 hours of a scheduled run**, not instantly. In practice, the end-to-end delay from crossing a cadence window to seeing new patterns is up to about a day. This background design is deliberate: it keeps Synthesis from adding any latency to your live `add` and `search` calls.
<Warning>
Synthesis is **not** real-time. If you enable it today, the first pattern memories for an eligible user will appear on the next scheduled run for that user (governed by the cadence above), and can take up to ~24 hours to complete once that run starts. Supersede and Merge, by contrast, keep pace with your adds.
</Warning>
## FAQ
**Does Dream delete any of my memories?**
No. Nothing Dream does is destructive. Superseded memories stay visible in default reads (labelled as history), merged duplicates are hidden by default but retained, and synthesized patterns are added alongside your existing memories, never in place of them. Every change is reviewable from the dashboard.
**How do I get only the current facts, without the superseded ones?**
Pass `latest_only=true` on your read. Superseded and merged memories are both excluded, leaving only active memories. By default (no flag) superseded memories are included so you keep the full history.
**Do I need to change my code to use Dream?**
No. Supersede and Merge are always on, and enabling Synthesis is a project setting. Your `add`, `search`, and `get` calls are unchanged. Dream shapes the memory set behind the same API.
**Will Synthesis reprocess all my old memories when I turn it on?**
No. Enabling Synthesis sets a forward boundary, so only memories created after you turn it on are eligible. This avoids a bulk reprocess of your entire history on day one.
**Why don't I see pattern memories immediately after enabling Synthesis?**
Synthesis runs on a schedule (every 7 days on Pro, daily on Enterprise) and only for users with at least 20 memories. Patterns appear on the next scheduled run for an eligible user and can take up to ~24 hours to complete once that run starts.
**Which memories does Synthesis include?**
Only memories scoped to a `user_id` on its own. If a memory also carries an `agent_id`, `run_id`, or `app_id`, it's excluded from that user's synthesis run. This keeps each run confined to a single user's memories and prevents any cross-referencing across agents, runs, or apps. Supersede and Merge are not affected by this and run across your memories as usual.
**Are synthesized pattern memories traceable?**
Yes. Every pattern memory links back to the specific source memories it was distilled from, so you can always see the evidence behind an insight from the Dream dashboard.
**Can I turn Synthesis off?**
Yes, at any time, per project. Turning it off is fully reversible and leaves all existing memories, including already-synthesized patterns, untouched.
+14 -12
View File
@@ -36,11 +36,11 @@ Call `client.project.get()` to verify your connection. It should return your pro
| User | `user_id` | Persistent persona or account | `"customer_6412"` |
| Agent | `agent_id` | Distinct agent persona or tool | `"meal_planner"` |
| Application | `app_id` | White-label app or product surface | `"ios_retail_demo"` |
| Session | `run_id` | Short-lived flow, ticket, or conversation thread | `"ticket-9241"` |
| Run | `run_id` | Short-lived flow, ticket, or session thread | `"ticket-9241"` |
- **Writes** (`client.add`) accept any combination of these fields. Absent fields default to `null`.
- **Reads** (`client.search`, `client.get_all`, exports, deletes) accept the same identifiers inside the `filters` JSON object.
- **Implicit null scoping**: Passing only `{"user_id": "alice"}` automatically restricts results to records where `agent_id`, `app_id`, and `run_id` are `null`. Add wildcards (`"*"`), explicit lists, or additional filters when you need broader joins.
- **Writes** (`client.add`) accept any combination of these fields. `app_id` and `run_id` are stored on every memory the call produces. `user_id` and `agent_id` behave differently on the default extraction path: each extracted fact is attributed to whoever stated it, so a record carries `user_id` or `agent_id`, not both. Absent fields default to `null`.
- **Reads** (`client.search`, `client.get_all`, exports) accept the same identifiers inside the `filters` JSON object. Deletes (`client.delete_all`) scope via query parameters instead; the SDK builds these for you when you pass `user_id=...`, `run_id=...`, and so on.
- **Unmentioned entities are not constrained**: Passing only `{"user_id": "alice"}` matches on `user_id` alone. It does not require `agent_id`, `app_id`, or `run_id` to be `null`, so records that also have those fields set are still returned.
<Warning>
**Common Pitfall**: If you create a memory with `user_id="alice"` but the other fields default to `null`, then search with `{"AND": [{"user_id": "alice"}, {"agent_id": "bot"}]}` will return nothing because you're looking for a memory where `agent_id="bot"`, not `null`.
@@ -78,10 +78,12 @@ client.add(
The response will include one or more memory IDs. Check the dashboard → Memories to confirm the entry appears under the correct user, agent, app, and run.
<Warning>
Platform writes that include both `user_id` and `agent_id` (or other combinations) are persisted as separate records per entity so we can enforce privacy boundaries. Each record carries exactly one primary entity, which is why `{"AND": [{"user_id": ...}, {"agent_id": ...}]}` never returns results. Plan searches per entity scope or combine scopes with `OR`.
Passing both `user_id` and `agent_id` to `client.add` does **not** produce records with both fields set. On the default extraction path, each extracted fact is attributed to the speaker who stated it: facts from `user` messages are stored with `user_id` set and `agent_id` null, facts from `assistant` messages with `agent_id` set and `user_id` null. `app_id` and `run_id` are carried on every record either way.
As a result, `{"AND": [{"user_id": ...}, {"agent_id": ...}]}` returns nothing for memories created this way. Use `OR` to match either scope. Records with both fields populated only come from [Direct Import](/platform/features/direct-import) (`infer=False`), which writes your text verbatim without attribution splitting.
</Warning>
The HTTP equivalent uses `POST /v1/memories/` with the same identifiers in the JSON body. See the Add Memories API reference for REST details.
The HTTP equivalent uses `POST /v3/memories/add/` with the same identifiers in the JSON body. See the [Add Memories](/api-reference/memory/add-memories) API reference for REST details.
## See it in action
@@ -130,7 +132,7 @@ print(agent_results)
```
<Tip icon="compass">
Writes can include multiple identifiers, but searches resolve one entity space at a time. Query user scope *or* agent scope in a given call: combining both returns an empty list today.
A search that `AND`s `user_id` **and** `agent_id` only matches records that have both fields set, which the default extraction path never produces. Use `OR` when you want either scope to match on its own.
</Tip>
<Tip icon="sparkles">
@@ -141,11 +143,11 @@ Want to experiment with AND/OR logic, nested operators, or wildcards? The <Link
```python
app_scope = {
"AND": [
{"app_id": "concierge_portal"}
],
"OR": [
{"user_id": "*"},
{"agent_id": "*"}
{"app_id": "concierge_portal"},
{"OR": [
{"user_id": "*"},
{"agent_id": "*"}
]}
]
}
+15 -10
View File
@@ -150,7 +150,7 @@ Handle potential errors when submitting feedback:
```python Python
from mem0 import MemoryClient
from mem0.exceptions import MemoryNotFoundError, NetworkError
from mem0.exceptions import MemoryError, ValidationError
client = MemoryClient(api_key="your_api_key")
@@ -161,12 +161,10 @@ try:
feedback_reason="Helpful context for user query"
)
print("Feedback submitted successfully")
except MemoryNotFoundError:
print("Memory not found")
except NetworkError as e:
print(f"Network error: {e}")
except Exception as e:
print(f"Unexpected error: {e}")
except ValidationError:
print("memory_id is not a valid UUID")
except MemoryError as e:
print(f"memory_id was not found or not accessible ({e.error_code})")
```
```javascript JavaScript
@@ -182,16 +180,23 @@ try {
});
console.log("Feedback submitted successfully");
} catch (error) {
if (error.status === 404) {
console.log("Memory not found");
if (error.errorCode === "HTTP_400") {
console.log("memory_id is not a valid UUID");
} else if (error.errorCode === "HTTP_500") {
console.log("Server error - the memory_id may not exist or be inaccessible, or it may be transient; retry if it persists");
} else {
console.log(`Error: ${error.message}`);
console.log(`Unexpected error: ${error.message}`);
}
}
```
</CodeGroup>
### Handling an unknown or malformed `memory_id`
- A malformed `memory_id` (not a valid UUID) returns a clean `400` with `{"error": "Invalid memory_id"}`.
- A well-formed but non-existent `memory_id` (or one that doesn't belong to your org or project) currently returns a `500 Internal Server Error` instead of a `404`. This is a server-side bug being tracked in [MEM-5745](https://linear.app/mem0/issue/MEM-5745). A `5xx` can also be a transient server error, so don't treat it as a definitive "not found"; to avoid the case entirely, only call `feedback` with a `memory_id` you just read from a `get_all` or `search` response.
## Feedback Analytics
Track the impact of your feedback by monitoring memory performance over time. Consider implementing:
+1 -1
View File
@@ -90,7 +90,7 @@ results = client.search(
Earlier versions of Mem0 offered graph memory by connecting an **external graph database** (Neo4j, Memgraph, Kuzu, Apache AGE, or Neptune) through an `enable_graph` flag and a `graph_store` configuration block. That integration has been replaced by **native, built-in Graph Memory**:
- **No external graph store.** The graph is built inside Mem0 from your memories. There is nothing to provision or connect.
- **Always on, all plans.** The `enable_graph` flag is no longer needed; Graph Memory is automatic. (If you still send the parameter, it is ignored.)
- **Always on, all plans.** The `enable_graph` flag is no longer needed: Graph Memory is automatic, and `relations` is always an empty list regardless of whether you send it. On non-paginated `get_all` (v1.1 format), sending `enable_graph=True` still adds an empty `"relations": []` key to the response for backward compatibility; it does not restore the old graph behavior.
- **Connections power retrieval directly.** Entity connections are folded into the combined `score` on each result. The standalone `relations` field that the external graph store returned is no longer populated. If your application read that field, see the migration guide below.
<Card title="Platform Migration Guide" icon="arrow-right" href="/migration/platform-v2-to-v3">
+59 -75
View File
@@ -1,45 +1,33 @@
---
title: Group Chat
description: 'Enable multi-participant conversations with automatic memory attribution to individual speakers'
description: 'Enable multi-participant conversations and scope each speaker with user_id or agent_id'
---
## Overview
The Group Chat feature enables Mem0 to process conversations involving multiple participants and automatically attribute memories to individual speakers. This allows for precise tracking of each participant's preferences, characteristics, and contributions in collaborative discussions, team meetings, or multi-agent conversations.
The Group Chat feature helps you use Mem0 with conversations involving multiple participants, such as team meetings or multi-agent conversations. You control which speaker a memory belongs to by scoping each `add()` call with `user_id`, `agent_id`, and `run_id`; Mem0 does not infer that scope automatically from the conversation.
When you provide messages with participant names, Mem0 automatically:
- Extracts memories from each participant's messages separately
- Attributes each memory to the correct speaker using their name as the `user_id` or `agent_id`
- Maintains individual memory profiles for each participant
When you scope conversations correctly, Mem0:
- Extracts memories from each participant's messages
- Keeps each participant's memories in a separate profile, addressed by the `user_id` or `agent_id` you assigned them
- Lets you retrieve any participant's memories independently using filters
## How Group Chat Works
Mem0 automatically detects group chat scenarios when messages contain a `name` field:
Mem0 does not automatically split a multi-participant conversation into separate memories per speaker. A `name` field on a message is stored as context for extraction, but it does not change which `user_id` or `agent_id` the resulting memories are scoped to: that scope is always whatever `user_id`, `agent_id`, or `run_id` you pass to `add()`.
```json
{
"role": "user",
"name": "Alice",
"content": "Hey team, I think we should use React for the frontend"
}
```
When names are present, Mem0:
- Formats messages as `"Alice (user): content"` for processing
- Extracts memories with proper attribution to each speaker
- Stores memories with the speaker's name as the `user_id` (for users) or `agent_id` (for assistants/agents)
To keep separate memory profiles per participant, scope each participant's messages explicitly: call `add()` once per participant with their own `user_id`, or use `run_id` to group the conversation and filter by participant in your own message metadata.
### Memory Attribution Rules
- **User Messages**: The `name` field becomes the `user_id` in stored memories
- **Assistant/Agent Messages**: The `name` field becomes the `agent_id` in stored memories
- **Messages without names**: Fall back to standard processing using role as identifier
- Memories are always scoped to the `user_id`, `agent_id`, and `run_id` you pass to `add()`, not to the `name` field on individual messages.
- If you need per-participant memories, call `add()` separately for each participant's messages with that participant's `user_id`.
## Using Group Chat
### Basic Group Chat
Add memories from a multi-participant conversation:
Scope each participant's messages with their own `user_id` and a shared `run_id` for the session. Call `add()` once per participant:
<CodeGroup>
@@ -48,46 +36,60 @@ from mem0 import MemoryClient
client = MemoryClient(api_key="your-api-key")
# Group chat with multiple users
messages = [
{"role": "user", "name": "Alice", "content": "Hey team, I think we should use React for the frontend"},
{"role": "user", "name": "Bob", "content": "I disagree, Vue.js would be better for our use case"},
{"role": "user", "name": "Charlie", "content": "What about considering Angular? It has great enterprise support"},
{"role": "assistant", "content": "All three frameworks have their merits. Let me summarize the pros and cons of each."}
]
# Each participant gets their own user_id; run_id ties them to one session
client.add(
[{"role": "user", "content": "Hey team, I think we should use React for the frontend"}],
user_id="alice", run_id="group_chat_1",
)
client.add(
[{"role": "user", "content": "I'd prefer Vue.js for our use case"}],
user_id="bob", run_id="group_chat_1",
)
response = client.add(
messages,
run_id="group_chat_1",
infer=True
[{"role": "user", "content": "Consider Angular, it has great enterprise support"}],
user_id="charlie", run_id="group_chat_1",
)
print(response)
```
```json Output
{
"results": [
{
"id": "4d82478a-8d50-47e6-9324-1f65efff5829",
"event": "ADD",
"memory": "prefers using React for the frontend"
},
{
"id": "1d8b8f39-7b17-4d18-8632-ab1c64fa35b9",
"event": "ADD",
"memory": "prefers Vue.js for our use case"
},
{
"id": "147559a8-c5f7-44d0-9418-91f53f7a89a4",
"event": "ADD",
"memory": "suggests considering Angular because it has great enterprise support"
}
]
"event_id": "4d82478a-8d50-47e6-9324-1f65efff5829",
"status": "PENDING"
}
```
</CodeGroup>
`add()` is asynchronous: it queues extraction and returns immediately. Poll `get_all` (see below) once processing completes to see the extracted memories. Each participant's memory is scoped to the `user_id` you passed, so filtering by `run_id` returns all three, and filtering by a single `user_id` returns just that participant.
### The `name` field does not change scope
The `name` field is stored as extraction context only. Attribution follows the `user_id`/`agent_id`/`run_id` you pass to `add()`, never the `name`. Passing two different names in one `add()` call does **not** split the memories across two profiles:
<CodeGroup>
```python Python
# BOTH messages are scoped to user_id="team_session", NOT to "alice"/"bob"
client.add(
[
{"role": "user", "name": "Alice", "content": "I strongly prefer React"},
{"role": "user", "name": "Bob", "content": "I strongly prefer Vue"},
],
user_id="team_session", run_id="group_chat_2",
)
# Every extracted memory lands under user_id="team_session"
client.get_all(filters={"AND": [{"user_id": "team_session"}]})
# Nothing is stored under user_id="alice" or user_id="bob"
client.get_all(filters={"AND": [{"user_id": "alice"}]}) # -> no results from this call
```
</CodeGroup>
To keep Alice's and Bob's memories in separate profiles, call `add()` once per participant with their own `user_id`, as shown in [Basic Group Chat](#basic-group-chat) above.
## Retrieving Group Chat Memories
### Get All Memories for a Session
@@ -224,33 +226,15 @@ print(search_response)
</CodeGroup>
## Async Mode Support
Group chat supports async processing for improved performance. Memory additions are processed asynchronously by default.
<CodeGroup>
```python Python
# Group chat: async processing is the default
response = client.add(
messages,
run_id="groupchat_async",
infer=True,
)
print(response)
```
</CodeGroup>
## Message Format Requirements
### Required Fields
Each message in a group chat must include:
Each message must include:
- `role`: The participant's role (`"user"`, `"assistant"`, `"agent"`)
- `content`: The message content
- `name`: The participant's name (required for group chat detection)
- `name` (optional): The participant's name, stored as context for extraction. It does not change which `user_id` or `agent_id` a memory is scoped to.
### Example Message Structure
@@ -261,14 +245,14 @@ Each message in a group chat must include:
"content": "I think we should use React for the frontend"
}
```
### Supported Roles
### Roles
- **`user`**: Human participants (memories stored with `user_id`)
- **`assistant`**: AI assistants (memories stored with `agent_id`)
- **`user`**: Human participants
- **`assistant`**: AI assistants
## Best Practices
1. **Consistent Naming**: Use consistent names for participants across sessions to maintain proper memory attribution.
1. **Consistent Scoping**: Use a consistent `user_id` (or `agent_id`) per participant across sessions so their memories stay in one profile.
2. **Clear Role Assignment**: Ensure each participant has the correct role (`user`, `assistant`, or `agent`) for proper memory categorization.
+8 -8
View File
@@ -43,7 +43,7 @@ At search time the pipeline:
5. Truncates to the `top_k` you requested.
6. Records a fire-and-forget reinforcement against each returned memory: its access history grows by one, capped at the most recent 20 touches.
Memories created before decay was enabled don't yet have an access history. They use a sensible fallback: their `updated_at` is treated as a single past touch, so the same scale above applies based on how stale that update is: a recently-updated legacy memory enters near the neutral band, a long-stale one sits closer to the floor. Once surfaced in a search after decay is on, they accumulate access history naturally and behave like any other memory.
Memories created before decay was enabled don't yet have an access history. They use a sensible fallback: a memory's `event_date` (if it has one) is treated as its single past touch; only when `event_date` is absent does `updated_at` stand in instead. A future `event_date` gets a fresh/full activation, a past one decays from when the event happened. Once surfaced in a search after decay is on, they accumulate access history naturally and behave like any other memory.
## Configure access
@@ -81,26 +81,26 @@ curl -X PATCH https://api.mem0.ai/api/v1/orgs/organizations/$ORG_ID/projects/$PR
### 2. Confirm the state
`decay` is returned on every project read. To fetch only this field, use `?fields=decay`.
`decay` is returned on every project read; there is currently no way to narrow the response to just this field, so read the full project object and pick out `decay`.
<CodeGroup>
```python Python
response = client.project.get(fields=["decay"])
response = client.project.get()
print(response["decay"])
```
```javascript JavaScript
const response = await client.project.get({ fields: ["decay"] });
const response = await client.project.get();
console.log(response.decay);
```
```bash cURL
curl "https://api.mem0.ai/api/v1/orgs/organizations/$ORG_ID/projects/$PROJECT_ID/?fields=decay" \
curl "https://api.mem0.ai/api/v1/orgs/organizations/$ORG_ID/projects/$PROJECT_ID/" \
-H "Authorization: Token $MEM0_API_KEY"
```
```json Response
{ "decay": true }
{ "decay": true, "...": "full project object" }
```
</CodeGroup>
@@ -154,7 +154,7 @@ curl -X PATCH https://api.mem0.ai/api/v1/orgs/organizations/$ORG_ID/projects/$PR
| Reinforced on a recent search | 1.2 – 1.5× | Sustains its boost for the next several searches. |
| Idle for a few days | 0.6 – 1.0× | Falls back into the neutral band. |
| Idle for weeks | 0.4 – 0.6× | Mild dampening: can still surface for strong matches. |
| Pre-decay legacy memory (no access history) | 0.3 – 1.0× | Falls back to `updated_at`: recently-updated entries land near 1.0×, long-stale entries approach the 0.3× floor. |
| Pre-decay legacy memory (no access history) | 0.3 – 1.0× | Falls back to `event_date` if set (future dates land near 1.0×, past dates decay from the event); falls back further to `updated_at` only when `event_date` is absent. |
The reinforcement is bounded: each memory tracks at most the last 20 access timestamps, so the boost stays well-behaved no matter how many times a memory is retrieved.
@@ -170,7 +170,7 @@ The threshold is applied to the candidate pool pre-decay; the scaling factor the
No. The `client.add(...)` path is unchanged. Decay is a search-time ranking adjustment.
**What if I had memories before turning decay on?**
They use a fallback: the memory's `updated_at` is treated as a single historical touch, so the same scaling applies based on how stale that update is: a recently-updated legacy memory enters near the neutral band (~1.0×), a long-stale one closer to the floor (~0.3×). Once retrieved they accumulate access history and behave like any other memory.
They use a fallback: a memory's `event_date`, if it has one, is treated as its single historical touch; `updated_at` only stands in when `event_date` is absent. A memory with a future `event_date` enters near the neutral band (~1.0×); one with a past `event_date` decays from when the event happened, closer to the floor (~0.3×) the further back it is. Once retrieved they accumulate access history and behave like any other memory.
**Can I tune how aggressively decay scales scores?**
Not in this version. The current scaling is calibrated to be conservative: wide enough to meaningfully reorder candidates, narrow enough to never dominate the underlying relevance score. Per-project tuning is on the roadmap.
+6 -5
View File
@@ -1,9 +1,10 @@
---
title: Memory Expiration
description: "Give a memory a shelf life: set an expiration date and it stops surfacing in search once that date passes, without deleting the record."
title: "Memory Expiration in Mem0"
sidebarTitle: "Memory Expiration"
description: "Set an expiration date on a Mem0 memory and it stops surfacing in search once that date passes. Nothing is deleted. Works on Platform and Open Source."
---
# Memory Expiration
## Why Use Memory Expiration?
Some facts are only true for a while. A trial plan ends, a seasonal preference goes stale, a support ticket ages past its retention window. Set an `expiration_date` on a memory and Mem0 stops surfacing it once that date passes, so you don't need a cleanup job hunting for rows to delete.
@@ -18,7 +19,7 @@ Some facts are only true for a while. A trial plan ends, a seasonal preference g
- **No expiration date means never expires.** That is the default for every memory.
- **Malformed dates fail open**: a stored value Mem0 can't parse is treated as *not* expired. A bad date never makes a memory silently vanish.
## Set an expiration date
## How do you set an expiration date on a memory?
Set it when you add the memory:
@@ -97,7 +98,7 @@ The same parameter and spelling work on the OSS `Memory` class. See <Link href="
Expired memories are dropped *before* your `top_k` is applied, so Mem0 widens the internal candidate pool first and short result sets are rare. They are not impossible: if nearly every memory in a scope has expired, a call can still return fewer than `top_k` results. Pass `show_expired: true` to get the full set back.
</Note>
## Clear an expiration date
## How do you clear or remove an expiration date?
Pass an explicit `None` (Python) or `null` (TypeScript) to make the memory permanent again. The SDKs deliberately preserve that null instead of treating it as "argument not supplied".
+22 -1
View File
@@ -141,7 +141,7 @@ console.log(responseWithInstructions);
```
```bash cURL
curl -X POST "https://api.mem0.ai/v1/memories/export/" \
curl -X POST "https://api.mem0.ai/v1/exports/" \
-H "Authorization: Token your-api-key" \
-H "Content-Type: application/json" \
-d '{
@@ -185,6 +185,13 @@ const response = await client.getMemoryExport({
console.log(response);
```
```bash cURL
curl -X POST "https://api.mem0.ai/v1/exports/get/" \
-H "Authorization: Token your-api-key" \
-H "Content-Type: application/json" \
-d '{"memory_export_id": "550e8400-e29b-41d4-a716-446655440000"}'
```
```json Output
{
"full_name": "John Doe",
@@ -231,6 +238,20 @@ const response = await client.getMemoryExport({
console.log(response);
```
```bash cURL
curl -X POST "https://api.mem0.ai/v1/exports/get/" \
-H "Authorization: Token your-api-key" \
-H "Content-Type: application/json" \
-d '{
"filters": {
"AND": [
{"created_at": {"gte": "2024-07-10", "lte": "2024-07-20"}},
{"user_id": "alex"}
]
}
}'
```
```json Output
{
"full_name": "John Doe",

Some files were not shown because too many files have changed in this diff Show More