MCP-Mem0: Your Gateway to Long-Term Agent Memory 🚀

@yellnuts

关于 MCP-Mem0: Your Gateway to Long-Term Agent Memory 🚀

MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!

#agent #database #memory #mcp #assistant #persistent-memory #memory-management #llm #llm-memory #mem0 #mem0ai #mcp-server #modelcontextprotocol #model-context-protocol-servers

基本信息

分类

AI 与智能体

许可证

MIT license

运行时

python

传输方式

stdio

发布者

yellnuts

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-mem0-yellnuts": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP-Mem0?

MCP-Mem0 is a Python-based server for managing long-term agent memory using Mem0. It also serves as a template for building custom MCP servers. It targets developers who need persistent memory storage for AI agents.

How to use MCP-Mem0?

Clone the repository, install dependencies with pip install -r requirements.txt, and run python server.py. The server starts on http://localhost:5000 and exposes HTTP endpoints for creating, retrieving, and deleting memories. Configuration can be adjusted in config.json.

Key features of MCP-Mem0

Long-term memory storage and retrieval for agents
Python‑based, easy to customize and extend
Lightweight with minimal resource requirements
Serves as a template for building new MCP servers
Configurable memory expiry, logging, and port

Use cases of MCP-Mem0

Persist conversation history for conversational AI agents
Maintain context across sessions in multi‑turn agent applications
Serve as a foundation for prototyping custom MCP servers
Experiment with memory management in research projects

FAQ from MCP-Mem0

What does MCP-Mem0 do?

It provides a server that stores and retrieves long‑term memories for agents via HTTP requests, using the Mem0 system.

What are the system requirements?

Python 3.6 or higher and the packages listed in requirements.txt. No other runtime dependencies are specified.

How do I start the server?

After installing dependencies, run python server.py from the repository root. The server will listen on port 5000 by default.

What API endpoints are available?

Three main endpoints: POST /memory to create a memory, GET /memory/{agent_id} to retrieve it, and DELETE /memory/{agent_id} to delete it.

Can I configure memory expiry?

Yes. Edit the config.json file in the root directory to set parameters like memory_expiry, logging_level, and port.

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