Claude Memory MCP server

Provides persistent memory capabilities through sentence transformers and vector similarity search, enabling storage and retrieval of conversations, facts, documents, and code snippets across sessions
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Provider
WhenMoon-afk
Release date
Mar 25, 2025
Language
Python
Package
Stats
10 stars

Claude Memory MCP Server provides persistent memory capabilities for Large Language Models, specifically designed to integrate with the Claude desktop application. It implements a tiered memory architecture that allows Claude to maintain context across conversations and sessions, creating a more personalized and coherent user experience.

Features

  • 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

Installation Options

Using Docker (Recommended)

# 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

Standard Installation

  1. Prerequisites:

    • Python 3.8-3.12
    • pip package manager
  2. Installation:

    # 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
    

Configuring Claude Desktop

To integrate the Memory MCP Server with Claude, add the following to your Claude configuration file:

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

Using Memory with Claude

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?"

Optimizing Memory Usage

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.

Troubleshooting

If you encounter issues:

  1. Check that your Python version is 3.8-3.12
  2. For NumPy issues, try: pip install "numpy>=1.20.0,<2.0.0"
  3. Consider using Docker for simplified deployment
  4. Ensure your Claude desktop application is properly configured to use the MCP server

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.

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