Commit Graph

2 Commits

Author SHA1 Message Date
824b118e93 Add comprehensive Docker setup with PostgreSQL, Redis, ChromaDB, and Qdrant
- 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.
2025-07-05 10:01:41 -07:00
f22a68afa6 Initial implementation of autonomous Discord LLM fishbowl
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.
2025-07-04 21:33:27 -07:00