Files
mem0/integrations/mem0-plugin/skills/mem0
kartik-mem0 49df324d99 docs: refresh references stale since the v3 pipeline landed
Commit a488e1904 deleted mem0/graphs/ and mem0-ts/src/oss/src/graphs/ when the
v3 pipeline landed, and 3f717e545 reframed the docs as Platform-only, but the
agent-facing context files were never updated. Agents reading them still
believe OSS graph memory exists and propose graph_store config that cannot work.

- AGENTS.md: drop graphs/ from the directory map and dependency tree, correct
  the provider table (4 categories, not 5; LLMs 24->18, vector stores 30->25,
  embeddings 15->12), and rewrite the Graph Memory section as Platform-only
- skills: replace the OSS graph-memory prompt example and stop indexing
  /open-source/features/graph-memory, which 404s; also fix four other
  SECTION_MAP paths that no longer resolve
- mem0/exceptions.py: DependencyError example referenced kuzu/graph_store
- tests/test_telemetry.py: drop four mock_memory.config.graph_store lines;
  graph_store is not a MemoryConfig field and telemetry never reads it
- CONTRIBUTING.md: add the three missing release tag prefixes (opencode-v*,
  pi-agent-v*, n8n-nodes-mem0-v*) and note Zapier deploys off-registry
2026-08-11 20:18:49 +05:30
..

Mem0 Skill for Claude

Add persistent memory to any AI application in minutes using Mem0 Platform.

What This Skill Does

When installed, Claude can:

  • Set up Mem0 in your Python or TypeScript project
  • Integrate memory into your existing AI app (LangChain, CrewAI, Vercel AI, OpenAI Agents, LangGraph, LlamaIndex, etc.)
  • Generate working code using real API references and tested patterns
  • Search live docs on demand for the latest Mem0 documentation

Installation

This skill is included automatically when you install the Mem0 plugin:

/plugin marketplace add mem0ai/mem0
/plugin install mem0@mem0-plugins

See the plugin README for full setup instructions.

Prerequisites

  • A Mem0 Platform API key (Get one here)

  • Python 3.10+ or Node.js 18+

  • Set the environment variable:

    export MEM0_API_KEY="m0-your-api-key"
    

Quick Start

After installing, just ask Claude:

  • "Set up mem0 in my project"
  • "Add memory to my chatbot"
  • "Help me search user memories with filters"
  • "Integrate mem0 with my LangChain app"
  • "Migrate my app from mem0 v2 to v3"

What's Inside

skills/mem0/
├── SKILL.md                    # Skill definition and instructions
├── README.md                   # This file
├── LICENSE                     # Apache-2.0
├── scripts/
│   └── mem0_doc_search.py      # Search live Mem0 docs on demand
└── references/                 # Documentation (loaded on demand)
    ├── quickstart.md           # Full quickstart (Python, TS, cURL)
    ├── sdk-guide.md            # All SDK methods (Python + TypeScript)
    ├── api-reference.md        # REST endpoints, filters, memory object
    ├── architecture.md         # Processing pipeline, lifecycle, scoping, performance
    ├── features.md             # Retrieval, entity linking, categories, MCP, webhooks, multimodal
    ├── integration-patterns.md # LangChain, CrewAI, Vercel AI, LangGraph, LlamaIndex, etc.
    └── use-cases.md            # 7 real-world patterns with Python + TypeScript code

License

Apache-2.0