BuildAutomata Memory MCP Server

# BuildAutomata Memory Configuration Example # Copy this file to .env and customize as needed # ============================================================================ # USER IDENTIFICATION # ============================================================================ # BA_USERNAME=buildautomata_ai_v012 # BA_AGENT_NAME=claude_assistant # ============================================================================ # MEMORY MANAGEMENT # ============================================================================ # MAX_MEMORIES=10000 # Maximum memories to retain # CACHE_MAXSIZE=1000 # LRU cache size # MAINTENANCE_INTERVAL_HOURS=24 # Auto-maintenance interval # ============================================================================ # QDRANT VECTOR DATABASE # ============================================================================ # DEFAULT: Embedded mode (no external server needed) # - Works out of the box # - Stores vectors locally in memory_repos/{username}_{agent}/qdrant_data/ # - Perfect for personal use and single-user scenarios # OPTIONAL: External Qdrant server # - Uncomment below lines to use external Qdrant server # - Required for high-scale deployments (>100k memories) # - Supports concurrent access from multiple processes # USE_EXTERNAL_QDRANT=true # QDRANT_URL=http://localhost:6333 # ============================================================================ # EXTERNAL QDRANT EXAMPLES # ============================================================================ # Example 1: Local Qdrant server # USE_EXTERNAL_QDRANT=true # QDRANT_URL=http://localhost:6333 # Example 2: Remote Qdrant server # USE_EXTERNAL_QDRANT=true # QDRANT_URL=http://qdrant-server.local:6333 # Example 3: Cloud-hosted Qdrant # USE_EXTERNAL_QDRANT=true # QDRANT_URL=https://your-cluster.qdrant.cloud:6333 # QDRANT_API_KEY=your_api_key_here # Example 4: Docker Qdrant on custom port # USE_EXTERNAL_QDRANT=true # QDRANT_URL=http://localhost:6334 # ============================================================================ # WHEN TO USE EXTERNAL QDRANT? # ============================================================================ # Use EMBEDDED (default) if: # ✓ Personal assistant / single user # ✓ < 100,000 memories # ✓ Simple setup preferred # ✓ Running locally # # Use EXTERNAL if: # ✓ Multi-agent system # ✓ > 100,000 memories # ✓ Production deployment # ✓ Need horizontal scaling # ✓ Cloud deployment # ============================================================================ # MIGRATION # ============================================================================ # Switching from embedded to external? # python migrate_qdrant_embedded_to_external.py # # Switching from external to embedded? # python migrate_qdrant_external_to_embedded.py # # See MIGRATION_GUIDE.md for details # ============================================================================ # MORE INFORMATION # ============================================================================ # Full configuration guide: CONFIGURATION.md # Migration guide: MIGRATION_GUIDE.md # Architecture docs: CLAUDE.md