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

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

@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

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

yellnuts

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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

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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