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MCP server for Claude session management and conversation memory

Project description

Session Buddy

A Session Management MCP Server for Claude Code

Code style: crackerjack Python: 3.13+ Coverage Static Badge

A dedicated MCP server that provides comprehensive session management functionality for Claude Code sessions across any project.

Features

  • 🚀 Session Initialization: Complete setup with UV dependency management, project analysis, and automation tools
  • 🔍 Quality Checkpoints: Mid-session quality monitoring with workflow analysis and optimization recommendations
  • 🏁 Session Cleanup: Comprehensive cleanup with learning capture and handoff file creation
  • 📊 Status Monitoring: Real-time session status and project context analysis
  • ⚡ Auto-Generated Shortcuts: Automatically creates /start, /checkpoint, and /end Claude Code slash commands

🚀 Automatic Session Management (NEW!)

For Git Repositories:

  • Automatic initialization when Claude Code connects
  • Automatic cleanup when session ends (quit, crash, or network failure)
  • Intelligent auto-compaction during checkpoints
  • Zero manual intervention required

For Non-Git Projects:

  • 📝 Use /start for manual initialization
  • 📝 Use /end for manual cleanup
  • 📝 Full session management features available on-demand

The server automatically detects git repositories and provides seamless session lifecycle management with crash resilience and network failure recovery. Non-git projects retain manual control for flexible workflow management.

Available MCP Tools

This server provides 79+ specialized tools organized into 11 functional categories. For a complete list of tools, see the MCP Tools Reference.

Core Session Management:

  • start - Comprehensive session initialization with project analysis and memory setup
  • checkpoint - Mid-session quality assessment with workflow analysis
  • end - Complete session cleanup with learning capture
  • status - Current session overview with health checks
  • permissions - Manage trusted operations to reduce permission prompts

Memory & Conversation Search:

  • reflect_on_past - Semantic search through past conversations using local AI embeddings
  • store_reflection - Store insights with tagging and embeddings
  • quick_search - Fast overview search with count and top results
  • get_more_results - Pagination support for large result sets

Knowledge Graph (DuckPGQ):

All tools use local processing for privacy, with DuckDB vector storage (FLOAT[384] embeddings) and ONNX-based semantic search requiring no external API calls.

🚀 Integration with Crackerjack

Session-mgmt includes deep integration with Crackerjack, the AI-driven Python development platform:

Key Features:

  • 📊 Quality Metrics Tracking: Automatically captures and tracks quality scores over time
  • 🧪 Test Result Monitoring: Learns from test patterns, failures, and successful fixes
  • 🔍 Error Pattern Recognition: Remembers how specific errors were resolved and suggests solutions

Example Workflow:

  1. 🚀 Session-mgmt start - Sets up your session with accumulated context from previous work
  2. 🔧 Crackerjack runs quality checks and applies AI agent fixes to resolve issues
  3. 💾 Session-mgmt captures successful patterns and error resolutions
  4. 🧠 Next session starts with all accumulated knowledge

For detailed information on Crackerjack integration, see Crackerjack Integration Guide.

Installation

From Source

# Clone the repository
git clone https://github.com/lesleslie/session-buddy.git
cd session-buddy

# Install with all dependencies (development + testing)
uv sync --group dev

# Or install minimal production dependencies only
uv sync

# Or use pip (for production only)
pip install session-buddy

MCP Configuration

Add to your project's .mcp.json file:

{
  "mcpServers": {
    "session-mgmt": {
      "command": "python",
      "args": ["-m", "session_buddy.server"],
      "cwd": "/path/to/session-buddy",
      "env": {
        "PYTHONPATH": "/path/to/session-buddy"
      }
    }
  }
}

Alternative: Use Script Entry Point

If installed with pip/uv, you can use the script entry point:

{
  "mcpServers": {
    "session-mgmt": {
      "command": "session-buddy",
      "args": [],
      "env": {}
    }
  }
}

Dependencies: Requires Python 3.13+. For a complete list of dependencies, see pyproject.toml. Recent changes include pinning FastAPI to <0.121.0 to prevent circular import bugs and removing sitecustomize.py for improved startup reliability.

Usage

Once configured, the following slash commands become available in Claude Code:

Primary Session Commands:

  • /session-buddy:start - Full session initialization
  • /session-buddy:checkpoint - Quality monitoring checkpoint with scoring
  • /session-buddy:end - Complete session cleanup with learning capture
  • /session-buddy:status - Current status overview with health checks

Auto-Generated Shortcuts: After running /session-buddy:start once, these shortcuts are automatically created:

  • /start/session-buddy:start
  • /checkpoint [name]/session-buddy:checkpoint
  • /end/session-buddy:end

These shortcuts are created in ~/.claude/commands/ and work across all projects

Memory & Search Commands:

  • /session-buddy:reflect_on_past - Search past conversations with semantic similarity
  • /session-buddy:store_reflection - Store important insights with tagging
  • /session-buddy:quick_search - Fast search with overview results
  • /session-buddy:permissions - Manage trusted operations

For running the server directly in development mode:

python -m session_buddy.server
# or
session-buddy

Memory System

Built-in Conversation Memory:

  • Local Storage: DuckDB database at ~/.claude/data/reflection.duckdb
  • Embeddings: Local ONNX models for semantic search (no external API needed)
  • Privacy: Everything runs locally with no external dependencies
  • Cross-Project: Conversations tagged by project context for organized retrieval

Search Capabilities:

  • Semantic Search: Vector similarity matching with customizable thresholds
  • Time Decay: Recent conversations prioritized in results
  • Filtering: Search by project context or across all projects

Data Storage

This server manages its data locally in the user's home directory:

  • Memory Storage: ~/.claude/data/reflection.duckdb
  • Session Logs: ~/.claude/logs/
  • Configuration: Uses pyproject.toml and environment variables

Recommended Session Workflow

  1. Initialize Session: /session-buddy:start - Sets up project context, dependencies, and memory system
  2. Monitor Progress: /session-buddy:checkpoint (every 30-45 minutes) - Quality scoring and optimization
  3. Search Past Work: /session-buddy:reflect_on_past - Find relevant past conversations and solutions
  4. Store Important Insights: /session-buddy:store_reflection - Capture key learnings for future sessions
  5. End Session: /session-buddy:end - Final assessment, learning capture, and cleanup

Benefits

Comprehensive Coverage

  • Session Quality: Real-time monitoring and optimization
  • Memory Persistence: Cross-session conversation retention
  • Project Structure: Context-aware development workflows

Reduced Friction

  • Single Command Setup: One /session-buddy:start sets up everything
  • Local Dependencies: No external API calls or services required
  • Intelligent Permissions: Reduces repeated permission prompts
  • Automated Workflows: Structured processes for common tasks

Enhanced Productivity

  • Quality Scoring: Guides session effectiveness
  • Built-in Memory: Enables building on past work automatically
  • Project Templates: Accelerates development setup
  • Knowledge Persistence: Maintains context across sessions

Documentation

Complete documentation is available in the docs/ directory:

Troubleshooting

Common Issues:

  • Memory/embedding issues: Ensure all dependencies are installed with uv sync
  • Path errors: Verify cwd and PYTHONPATH are set correctly in .mcp.json
  • Permission issues: Use /session-buddy:permissions to trust operations

Debug Mode:

# Run with verbose logging
PYTHONPATH=/path/to/session-buddy python -m session_buddy.server --debug

For more detailed troubleshooting guidance, see Troubleshooting Guide.

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