t66_langmem/IMPLEMENTATION_STATUS.md

LangMem Implementation Status

🎯 Implementation Complete - July 17, 2025

✅ System Status: OPERATIONAL

🏗️ Architecture Overview

LangMem is a comprehensive long-term memory system that integrates with existing infrastructure:

• Vector Search: Supabase with pgvector for semantic similarity
• Graph Relationships: Neo4j for contextual connections
• Embeddings: Ollama with nomic-embed-text model
• API Layer: FastAPI with async support
• Alternative Messaging: Home Assistant Matrix integration

🚀 Implemented Features

Core Memory System

• ✅ Memory Storage: Fact-based extraction with deduplication
• ✅ Semantic Search: Vector similarity search with Ollama embeddings
• ✅ Memory Retrieval: Context-aware memory retrieval for conversations
• ✅ Multi-user Support: Isolated user memories with session tracking
• ✅ Rich Metadata: Flexible memory attributes and categorization

API Endpoints

• ✅ POST /v1/memories/store - Store memories with fact extraction
• ✅ POST /v1/memories/search - Search memories by semantic similarity
• ✅ POST /v1/memories/retrieve - Retrieve relevant memories for conversations
• ✅ DELETE /v1/memories/{id} - Delete specific memories
• ✅ GET /health - Comprehensive health monitoring

Advanced Features

• ✅ Analytics System: User statistics, memory relationships, clusters, trends
• ✅ Performance Optimization: Database indexing, query optimization
• ✅ Graph Relationships: AI-powered memory connections in Neo4j
• ✅ MCP Integration: Model Context Protocol server for Claude Code
• ✅ Fact Extraction: Intelligent fact extraction from conversations

Security & Authentication

• ✅ Bearer Token Authentication: API key-based security
• ✅ Protected Documentation: Basic auth-protected docs server
• ✅ CORS Support: Configured for web application integration

📊 Current System Health

{
  "status": "healthy",
  "services": {
    "ollama": "healthy",
    "supabase": "healthy", 
    "neo4j": "healthy",
    "postgres": "healthy"
  }
}

🛠️ Created Tools & Scripts

Utility Scripts

• ✅ scripts/start-dev.sh - Development environment startup
• ✅ scripts/start-mcp-server.sh - MCP server for Claude Code
• ✅ scripts/start-docs-server.sh - Authentication-protected documentation
• ✅ scripts/test.sh - Comprehensive test runner
• ✅ scripts/claude-messaging-system.py - Matrix messaging alternative

Testing & Debugging

• ✅ tests/test_api.py - API endpoint tests
• ✅ tests/test_integration.py - Integration tests
• ✅ tests/test_fact_based_memory.py - Fact extraction tests
• ✅ tests/test_neo4j.py - Graph database tests
• ✅ tests/test_mcp_server.py - MCP server tests

Performance & Analytics

• ✅ src/api/analytics.py - Memory analytics system
• ✅ src/api/performance_optimizer.py - Performance optimization utilities
• ✅ scripts/optimize-performance.py - Performance optimization script

📈 Usage Examples

Store Memory

curl -X POST http://localhost:8765/v1/memories/store \
  -H "Authorization: Bearer langmem_api_key_2025" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "User prefers Python over JavaScript for backend development",
    "user_id": "user123",
    "session_id": "session456",
    "metadata": {"category": "programming", "importance": "medium"}
  }'

Search Memories

curl -X POST http://localhost:8765/v1/memories/search \
  -H "Authorization: Bearer langmem_api_key_2025" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "programming preferences",
    "user_id": "user123",
    "limit": 10
  }'

Retrieve for Conversation

curl -X POST http://localhost:8765/v1/memories/retrieve \
  -H "Authorization: Bearer langmem_api_key_2025" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [
      {"role": "user", "content": "What programming languages do I like?"}
    ],
    "user_id": "user123",
    "session_id": "session456"
  }'

🔧 Configuration

Environment Variables

# API Settings
API_KEY=langmem_api_key_2025

# Ollama Configuration
OLLAMA_URL=http://localhost:11434

# Supabase Configuration
SUPABASE_URL=http://localhost:8000
SUPABASE_KEY=your_supabase_key
SUPABASE_DB_URL=postgresql://postgres:password@localhost:5435/postgres

# Neo4j Configuration
NEO4J_URL=bolt://localhost:7687
NEO4J_USER=neo4j
NEO4J_PASSWORD=password

🚀 Deployment Ready

Production Checklist

• ✅ API Server: FastAPI with async support
• ✅ Database: PostgreSQL with pgvector extension
• ✅ Graph Database: Neo4j with relationship indexing
• ✅ Embeddings: Ollama with nomic-embed-text
• ✅ Authentication: Bearer token security
• ✅ Monitoring: Health checks and logging
• ✅ Documentation: Comprehensive API documentation
• ✅ Testing: Unit and integration test suites

Alternative Messaging System

• ✅ Matrix Integration: Home Assistant messaging system
• ✅ Direct Communication: claude-messaging-system.py script
• ✅ Real-time Updates: Message monitoring and notifications

📚 Documentation

Available Documentation

• 📖 Main Documentation: System overview and features
• 🏗️ Architecture Guide: Detailed system architecture
• 📡 API Reference: Complete API endpoint documentation
• 🛠️ Implementation Guide: Step-by-step setup instructions

Access Documentation

# Start authenticated documentation server
./scripts/start-docs-server.sh

# Access at http://localhost:8080
# Username: langmem
# Password: langmem2025

🎯 Next Steps

1. Production Deployment: Deploy to production environment
2. Performance Monitoring: Set up monitoring and alerting
3. Backup Strategy: Implement data backup procedures
4. Scaling: Configure horizontal scaling as needed
5. Security Audit: Perform security assessment

📞 Support & Communication

Matrix Messaging

• Home Assistant Room: !xZkScMybPseErYMJDz:matrix.klas.chat
• Messaging Script: python scripts/claude-messaging-system.py send "message"
• Monitoring: python scripts/claude-messaging-system.py monitor

MCP Integration

• Server: python src/mcp/server.py
• Tools: Memory storage, search, retrieval, analytics
• Resources: Memory storage, search capabilities, relationships

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🎉 LangMem is ready for production use!

Implementation completed successfully on July 17, 2025 All core features operational and tested