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.
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config/settings.yaml
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36
config/settings.yaml
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discord:
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token: ${DISCORD_BOT_TOKEN}
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guild_id: ${DISCORD_GUILD_ID}
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channel_id: ${DISCORD_CHANNEL_ID}
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database:
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host: ${DB_HOST:-localhost}
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port: ${DB_PORT:-5432}
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name: ${DB_NAME:-discord_fishbowl}
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user: ${DB_USER:-postgres}
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password: ${DB_PASSWORD}
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redis:
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host: ${REDIS_HOST:-localhost}
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port: ${REDIS_PORT:-6379}
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password: ${REDIS_PASSWORD}
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llm:
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base_url: ${LLM_BASE_URL:-http://localhost:11434}
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model: ${LLM_MODEL:-llama2}
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timeout: 30
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max_tokens: 512
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temperature: 0.8
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conversation:
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min_delay_seconds: 30
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max_delay_seconds: 300
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max_conversation_length: 50
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activity_window_hours: 16
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quiet_hours_start: 23
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quiet_hours_end: 7
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logging:
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level: INFO
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format: "{time} | {level} | {message}"
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file: "logs/fishbowl.log"
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