2c796d144f
Co-authored-by: Claude <noreply@anthropic.com>
2.5 KiB
2.5 KiB
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"
- "Add graph memory to track entity relationships"
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, graph, 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
Links
License
Apache-2.0