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.

Overview

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.

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
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

Architecture

The MCP server follows a functional domain-based architecture with the following components:

┌─────────────────────────────────────────────────────────┐
│                   Claude Desktop                        │
└───────────────────────────┬─────────────────────────────┘
                            │
┌───────────────────────────▼─────────────────────────────┐
│                     MCP Interface                       │
│  ┌─────────────────┐  ┌─────────────────┐  ┌──────────┐ │
│  │ Tool Definitions│  │ Request Handler │  │ Security │ │
│  └─────────────────┘  └─────────────────┘  └──────────┘ │
└───────────────────────────┬─────────────────────────────┘
                            │
┌───────────────────────────▼─────────────────────────────┐
│                Memory Domain Manager                    │
├─────────────────┬─────────────────┬────────────────────┤
│  Episodic Domain│  Semantic Domain│  Temporal Domain   │
├─────────────────┴─────────────────┴────────────────────┤
│                  Persistence Domain                    │
└─────────────────────────────────────────────────────────┘

Functional Domains

Episodic Domain: Manages session-based interactions and contextual memory
Semantic Domain: Handles knowledge organization and retrieval
Temporal Domain: Controls time-aware processing of memories
Persistence Domain: Manages storage optimization and retrieval

Installation

Prerequisites

Python 3.8 or higher
pip package manager

Installation Steps

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

Claude Desktop Integration

To integrate with the Claude desktop application, 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"
      }
    }
  }
}

Memory File Structure

The memory system uses a JSON-based file structure with the following components:

{
  "metadata": {
    "version": "1.0",
    "created_at": "ISO-8601 timestamp",
    "updated_at": "ISO-8601 timestamp"
  },
  "memory_index": {
    // Vector index for fast semantic search
  },
  "short_term_memory": [
    // Recent and frequently accessed memories
  ],
  "long_term_memory": [
    // Older or less frequently accessed memories
  ],
  "archived_memory": [
    // Rarely accessed but potentially valuable memories
  ],
  "memory_schema": {
    // Schema definitions for memory entries
  },
  "config": {
    // Configuration settings for memory management
  }
}

Usage

Starting the Server

python -m memory_mcp

Available Tools

store_memory: Store new information in memory
retrieve_memory: Retrieve relevant memories based on query
list_memories: List available memories with filtering options
update_memory: Update existing memory entries
delete_memory: Remove specific memories
memory_stats: Get statistics about the memory store

Development

Project Structure

memory_mcp/
├── memory/
│   ├── models.py         # Memory data models
│   ├── storage.py        # Memory storage operations
│   ├── retrieval.py      # Memory retrieval operations
│   └── consolidation.py  # Memory consolidation operations
├── domains/
│   ├── episodic.py       # Episodic memory domain
│   ├── semantic.py       # Semantic knowledge domain
│   ├── temporal.py       # Temporal processing domain
│   └── persistence.py    # Storage and retrieval domain
├── mcp/
│   ├── server.py         # MCP server implementation
│   ├── tools.py          # MCP tool definitions
│   └── handler.py        # Request handling
├── security/
│   └── validation.py     # Input validation
└── utils/
    ├── embeddings.py     # Vector embedding utilities
    └── schema.py         # Schema validation

Running Tests

pytest

Research Background

This implementation is based on comprehensive research of current LLM persistent memory techniques:

OS-Inspired Memory Management: Tiered memory architecture similar to MemGPT
Biological-Inspired Episodic Memory: Context-sensitive memory retrieval
Vector Embeddings: Semantic search inspired by vector database approaches
Self-Reflection: Memory consolidation through periodic review

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Acknowledgements

Based on research of optimal memory techniques for LLMs
Implements the Model Context Protocol for integration with Claude