Claude Memory MCP Server

An MCP (Model Context Protocol) server implementation that provides persistent memory capabilities for Large Language Models, specifically designed to integrate with the Claude desktop application.

This project implements optimal memory techniques based on comprehensive research of current approaches in the field. It provides a standardized way for Claude to maintain persistent memory across conversations and sessions.

- Tiered Memory Architecture: Short-term, long-term, and archival memory tiers
- Multiple Memory Types: Support for conversations, knowledge, entities, and reflections
- Semantic Search: Retrieve memories based on semantic similarity
- Automatic Memory Management: Intelligent memory capture without explicit commands
- Memory Consolidation: Automatic consolidation of short-term memories into long-term memory
- Memory Management: Importance-based memory retention and forgetting
- Claude Integration: Ready-to-use integration with Claude desktop application
- MCP Protocol Support: Compatible with the Model Context Protocol
- Docker Support: Easy deployment using Docker containers

# Clone the repository git clone https://github.com/WhenMoon-afk/claude-memory-mcp.git cd claude-memory-mcp # Start with Docker Compose docker-compose up -d

Configure Claude Desktop to use the containerized MCP server (seeDocker Usage Guidefor details).

# Clone the repository git clone https://github.com/WhenMoon-afk/claude-memory-mcp.git cd claude-memory-mcp # Install dependencies pip install -r requirements.txt # Run setup script chmod +x setup.sh ./setup.sh

{ "mcpServers": { "memory": { "command": "python", "args": ["-m", "memory_mcp"], "env": { "MEMORY_FILE_PATH": "/path/to/your/memory.json" } } } }

The Memory MCP Server enables Claude to remember information across conversations without requiring explicit commands.
-

Automatic Memory: Claude will automatically:

- Remember important details you share
- Store user preferences and facts
- Recall relevant information when needed

Memory Recall: To see what Claude remembers, simply ask:

- "What do you remember about me?"
- "What do you know about my preferences?"

System Prompt: For optimal memory usage, add this to your Claude system prompt:

This Claude instance has been enhanced with persistent memory capabilities. Claude will automatically remember important details about you across conversations and recall them when relevant, without needing explicit commands.

See theUser Guidefor detailed usage instructions and examples.

- User Guide
- Docker Usage Guide
- Compatibility Guide
- Architecture
- Claude Integration Guide

- store_memory_example.py: Example of storing a memory
- retrieve_memory_example.py: Example of retrieving memories
- Check theCompatibility Guidefor dependency requirements
- Ensure your Python version is 3.8-3.12
- For NumPy issues, use:pip install "numpy>=1.20.0,<2.0.0"
- Try using Docker for simplified deployment

This project is licensed under the MIT License - see theLICENSEfile for details.

Local Work Model for AI agents that learns from real outcomes.