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

@yellnuts

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

トランスポート

stdio

作者

yellnuts

MCP-Mem0: Your Gateway to Long-Term Agent Memory について

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

MCP-Mem0: Your Gateway to Long-Term Agent Memory の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP-Mem0: Your Gateway to Long-Term Agent Memory のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

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.

2

What are the system requirements?

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

3

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.

4

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.

5

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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