- Fix remaining datetime timezone errors across all database operations
- Implement dynamic vector database backend (Qdrant/ChromaDB) based on install.py configuration
- Add LLM timeout handling with immediate fallback responses for slow self-hosted models
- Use proper install.py configuration (2000 max tokens, 5min timeout, correct LLM endpoint)
- Fix PostgreSQL schema to use timezone-aware columns throughout
- Implement async LLM request handling with background processing
- Add configurable prompt limits and conversation history controls
- Start missing database services (PostgreSQL, Redis) automatically
- Fix environment variable mapping between install.py and application code
- Resolve all timezone-naive vs timezone-aware datetime conflicts
System now properly uses Qdrant vector database as specified in install.py instead of hardcoded ChromaDB.
Characters respond immediately with fallback messages during long LLM processing times.
All database timezone errors resolved with proper timestamptz columns.
- Update docker-start.sh to force correct profiles (qdrant, admin)
- Fix PostgreSQL port mapping from 5432 to 15432 across all configs
- Resolve MCP import conflicts by renaming src/mcp to src/mcp_servers
- Fix admin interface StaticFiles mount syntax error
- Update LLM client to support both Ollama and OpenAI-compatible APIs
- Configure host networking for Discord bot container access
- Correct database connection handling for async context managers
- Update environment variables and Docker compose configurations
- Add missing production dependencies and Dockerfile improvements
- Enhanced install.py with Docker detection and automatic service setup
- Added docker-compose.services.yml for standalone database services
- Created docker-services.sh management script for easy service control
- Added DOCKER.md documentation with complete setup instructions
- Updated requirements.txt for Python 3.13 compatibility
- Added multiple test scripts and configuration files
- Enhanced collaborative creative projects with proper database integration
- Fixed SQLAlchemy metadata field conflicts in database models
- Added comprehensive quickstart and testing guides
Services now available:
- PostgreSQL with Docker
- Redis with Docker
- ChromaDB vector database
- Qdrant vector database (recommended)
- PgAdmin for database administration
The setup script now automatically detects Docker and offers streamlined
installation with one-command service deployment.
Major Features Added:
• Cross-character memory sharing with trust-based permissions (Basic 30%, Personal 50%, Intimate 70%, Full 90%)
• Complete collaborative creative projects system with MCP integration
• Database persistence for all creative project data with proper migrations
• Trust evolution system based on interaction quality and relationship development
• Memory sharing MCP server with 6 autonomous tools for character decision-making
• Creative projects MCP server with 8 tools for autonomous project management
• Enhanced character integration with all RAG and MCP capabilities
• Demo scripts showcasing memory sharing and creative collaboration workflows
System Integration:
• Main application now initializes memory sharing and creative managers
• Conversation engine upgraded to use EnhancedCharacter objects with full RAG access
• Database models added for creative projects, collaborators, contributions, and invitations
• Complete prompt construction pipeline enriched with RAG insights and trust data
• Characters can now autonomously propose projects, share memories, and collaborate creatively
Creates a production-ready admin interface with FastAPI backend and React frontend:
Backend Features:
- FastAPI server with JWT authentication and WebSocket support
- Comprehensive API endpoints for dashboard, characters, conversations, analytics
- Real-time metrics and activity monitoring with WebSocket broadcasting
- System control endpoints for pause/resume and configuration management
- Advanced analytics including topic trends, relationship networks, community health
- Export capabilities for conversations and character data
Frontend Features:
- Modern React/TypeScript SPA with Tailwind CSS styling
- Real-time dashboard with live activity feeds and system metrics
- Character management interface with profiles and relationship visualization
- Conversation browser with search, filtering, and export capabilities
- Analytics dashboard with charts and community insights
- System status monitoring and control interface
- Responsive design with mobile support
Key Components:
- Authentication system with session management
- WebSocket integration for real-time updates
- Chart visualizations using Recharts
- Component library with consistent design system
- API client with automatic token management
- Toast notifications for user feedback
Admin Interface Access:
- Backend: http://localhost:8000 (FastAPI with auto-docs)
- Frontend: http://localhost:3000/admin (React SPA)
- Default credentials: admin/admin123
- Startup script: python scripts/start_admin.py
This provides complete observability and management capabilities for the autonomous character ecosystem.
Core Features:
- Full autonomous AI character ecosystem with multi-personality support
- Advanced RAG system with personal, community, and creative memory layers
- MCP integration for character self-modification and file system access
- PostgreSQL database with comprehensive character relationship tracking
- Redis caching and ChromaDB vector storage for semantic memory retrieval
- Dynamic personality evolution based on interactions and self-reflection
- Community knowledge management with tradition and norm identification
- Sophisticated conversation engine with natural scheduling and topic management
- Docker containerization and production-ready deployment configuration
Architecture:
- Multi-layer vector databases for personal, community, and creative knowledge
- Character file systems with personal and shared digital spaces
- Autonomous self-modification with safety validation and audit trails
- Memory importance scoring with time-based decay and consolidation
- Community health monitoring and cultural evolution tracking
- RAG-powered conversation context and relationship optimization
Characters can:
- Develop authentic personalities through experience-based learning
- Create and build upon original creative works and philosophical insights
- Form complex relationships with memory of past interactions
- Modify their own personality traits through self-reflection cycles
- Contribute to and learn from shared community knowledge
- Manage personal digital spaces with diaries, creative works, and reflections
- Engage in collaborative projects and community decision-making
System supports indefinite autonomous operation with continuous character
development, community culture evolution, and creative collaboration.
