Enhanced MCP Memory

⚡ Optimized for Claude Sonnet 4 - This MCP server works best with Claude Sonnet 4 for optimal performance and AI-powered features.

An enhanced MCP (Model Context Protocol) server for intelligent memory and task management, designed for AI assistants and development workflows. Features semantic search, automatic task extraction, knowledge graphs, and comprehensive project management.

✨ Key Features

🧠 Intelligent Memory Management

• Semantic search using sentence-transformers for natural language queries
• Automatic memory classification with importance scoring
• Duplicate detection and content deduplication
• File path associations for code-memory relationships
• Knowledge graph relationships with automatic similarity detection

🧬 Sequential Thinking Engine

• Structured reasoning chains with 5-stage process (analysis, planning, execution, validation, reflection)
• Context management with automatic token optimization
• Conversation continuity across sessions with intelligent summarization
• Real-time token estimation and compression (30-70% reduction)
• Auto-extraction of key points, decisions, and action items

📋 Advanced Task Management

• Auto-task extraction from conversations and code comments
• Priority and category management with validation
• Status tracking (pending, in_progress, completed, cancelled)
• Task-memory relationships in knowledge graph
• Project-based organization
• Complex task decomposition into manageable subtasks

🏗️ Project Convention Learning

• Automatic environment detection - OS, shell, tools, and runtime versions
• Project type recognition - Node.js, Python, Rust, Go, Java, MCP servers, etc.
• Command pattern learning - Extracts npm scripts, Makefile targets, and project commands
• Tool configuration detection - IDEs, linters, CI/CD, build tools, and testing frameworks
• Dependency management - Package managers, lock files, and installation commands
• Smart command suggestions - Corrects user commands based on project conventions
• Windows-specific optimizations - Proper path separators and command formats
• Memory integration - Stores learned conventions for AI context and future reference

📊 Performance Monitoring

• Performance monitoring with detailed metrics
• Health checks and system diagnostics
• Automatic cleanup of old data and duplicates
• Database optimization tools
• Comprehensive logging and error tracking
• Token usage analytics and optimization recommendations

� Enterprise Features

• Performance monitoring with detailed metrics
• Health checks and system diagnostics
• Automatic cleanup of old data and duplicates
• Database optimization tools
• Comprehensive logging and error tracking
• Token usage analytics and optimization recommendations

�🚀 Easy Deployment

• uvx compatible for one-command installation
• Zero-configuration startup with sensible defaults
• Environment variable configuration
• Cross-platform support (Windows, macOS, Linux)

🏗️ Project Structure

enhanced-mcp-memory/
├── mcp_server_enhanced.py    # Main MCP server with FastMCP integration
├── memory_manager.py         # Core memory/task logic and project detection
├── sequential_thinking.py    # Thinking chains and context optimization
├── database.py              # Database operations with retry mechanisms
├── requirements.txt         # Python dependencies
├── setup.py                # Package configuration
├── data/                   # SQLite database storage
├── logs/                   # Application logs

🚀 Quick Start

Option 1: Using uvx (Recommended)

# Install and run with uvx
uvx enhanced-mcp-memory

Option 2: Manual Installation

# Clone and install
git clone https://github.com/cbunting99/enhanced-mcp-memory.git
cd enhanced-mcp-memory
pip inst

... [View full README on GitHub](https://github.com/cbunting99/enhanced-mcp-memory#readme)