mcp-mem

# MCP Memory A Model Context Protocol (MCP) server implementing memory solutions for data-rich applications with efficient knowledge graph capabilities. ## Overview This MCP server implements a memory solution for data-rich applications that involve searching information from many sources including uploaded files. It uses HippoRAG internally to manage memory through an efficient knowledge graph. ## Features - **Session-based Memory**: Create and manage memory for specific chat sessions - **Efficient Knowledge Graph**: Uses HippoRAG for advanced memory management - **Multiple Transport Support**: Works with both stdio and SSE transports - **Search Capabilities**: Search information from various sources including uploaded files ## Installation Install from PyPI: ```bash pip install mcp-mem ``` Or install from source: ```bash git clone https://github.com/ddkang1/mcp-mem.git cd mcp-mem pip install -e . ``` ## Usage You can run the MCP server directly: ```bash mcp-mem ``` By default, it uses stdio transport. To use SSE transport: ```bash mcp-mem --sse ``` You can also specify host and port for SSE transport: ```bash mcp-mem --sse --host 127.0.0.1 --port 3001 ``` ## Configuration To use this tool with Claude in Windsurf, add the following configuration to your MCP config file: ```json "memory": { "command": "/path/to/mcp-mem", "args": [], "type": "stdio", "pollingInterval": 30000, "startupTimeout": 30000, "restartOnFailure": true } ``` The `command` field should point to the directory where you installed the python package using pip. ## Available Tools The MCP server provides the following tools: - **create_memory**: Create a new memory for a given chat session - **store_memory**: Add memory to a specific session - **retrieve_memory**: Retrieve memory from a specific session ## Development ### Installation for Development ```bash git clone https://github.com/ddkang1/mcp-mem.git cd mcp-mem pip install -e ".[dev]" ``` ###…