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.

requirements.txt

@@ -0,0 +1,29 @@
+discord.py==2.3.2
+asyncpg==0.29.0
+redis==5.0.1
+pydantic==2.5.0
+sqlalchemy==2.0.23
+alembic==1.13.1
+pyyaml==6.0.1
+httpx==0.25.2
+schedule==1.2.1
+python-dotenv==1.0.0
+psycopg2-binary==2.9.9
+asyncio-mqtt==0.16.1
+loguru==0.7.2
+
+# RAG and Vector Database
+chromadb==0.4.22
+sentence-transformers==2.2.2
+numpy==1.24.3
+faiss-cpu==1.7.4
+
+# MCP Integration
+mcp==1.0.0
+mcp-server-stdio==1.0.0
+aiofiles==23.2.0
+watchdog==3.0.0
+
+# Enhanced NLP
+spacy==3.7.2
+nltk==3.8.1