Metadata-Version: 2.1
Name: mcp-memory
Version: 0.1.0.dev0
Summary: A python implementation of AI memory in MCP
License: MIT
Project-URL: Repository, https://github.com/memodb-io/memory-mcp
Project-URL: Issues, https://github.com/memodb-io/memory-mcp/issues
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.11
Description-Content-Type: text/markdown
Requires-Dist: mcp>=1.0.0

<div align="center">
  <h1>Memory MCP</h1>
  <p><strong>Memory Implementation in MCP and python</strong></p>
  <p>
    <img src="https://img.shields.io/badge/python->=3.11-blue">
    <a href="https://pypi.org/project/memory-mcp/">
      <img src="https://img.shields.io/pypi/v/memory-mcp.svg">
    </a>
  </p>
</div>



🤔 [MCP](https://github.com/modelcontextprotocol) stands for Model Context Protocol, meaning a open protocol between Agent and Others

🧠 Memory is a great tool/storage for your AI, so that AI can remember user and stuff.

✅ The repo implements a memory mechanism and a MCP server



## Quick Start

Add this to your `claude_desktop_config.json`

```json
{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}
```



## Issues



## Resources

- A Memory MCP server in TS. [link](https://github.com/modelcontextprotocol/servers/tree/main/src/memory)
- LangGraph concepts. [link](https://langchain-ai.github.io/langgraph/concepts/memory/)
