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