Commit Graph

2 Commits

Author SHA1 Message Date
matt
004f0325ec Fix comprehensive system issues and implement proper vector database backend selection
- Fix reflection memory spam despite zero active characters in scheduler.py
- Add character enable/disable functionality to admin interface
- Fix Docker configuration with proper network setup and service dependencies
- Resolve admin interface JavaScript errors and login issues
- Fix MCP import paths for updated package structure
- Add comprehensive character management with audit logging
- Implement proper character state management and persistence
- Fix database connectivity and initialization issues
- Add missing audit service for admin operations
- Complete Docker stack integration with all required services

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-06 19:54:49 -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