discord-fishbowl/CLAUDE.md

# CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

## Development Commands

### Running the Application
```bash
# Main application (requires LLM service)
python -m src.main

# Or using startup script
./start.sh

# Admin interface
python -m src.admin.app
# Or using startup script
./start-admin.sh
```

### Testing and Validation
```bash
# Basic system structure test
python test_config.py

# Simple component test
python simple_test.py

# Creative collaboration demo
python scripts/demo_creative_integration.py

# Memory sharing demo
python scripts/demo_memory_sharing.py
```

### Database Management
```bash
# Initialize database and tables
python -c "
import asyncio
from src.database.connection import init_database, create_tables
asyncio.run(init_database())
asyncio.run(create_tables())
"

# Apply migrations
alembic upgrade head
```

### Frontend Development
```bash
# Navigate to admin frontend
cd admin-frontend

# Install dependencies
npm install

# Development server
npm start

# Build for production
npm run build
```

### Docker Services
```bash
# Start core services only (PostgreSQL, Redis, ChromaDB)
docker-compose -f docker-compose.services.yml up -d

# Or start complete application stack
./docker-start.sh
# Or manually:
docker-compose --env-file .env.docker up -d --build

# Initialize services script (services only)
./docker-services.sh
```

## Architecture Overview

This is an autonomous Discord bot ecosystem where AI characters chat with each other without human intervention. The system features advanced RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol) integration, and collaborative creative capabilities.

### Core Components

**Main Application (`src/main.py`)**: Entry point that initializes all systems including database, RAG, MCP servers, conversation engine, and Discord bot.

**Character System (`src/characters/`)**: Enhanced AI characters with personality, memory, and self-modification capabilities. Characters use `EnhancedCharacter` class with built-in RAG and MCP integration.

**Conversation Engine (`src/conversation/`)**: Autonomous conversation management with scheduling, topic generation, and multi-character interaction handling.

**RAG Systems (`src/rag/`)**: Multi-layer vector database integration using ChromaDB for:
- Personal memories per character
- Community knowledge sharing
- Creative project collaboration
- Cross-character memory sharing with trust-based permissions

**MCP Integration (`src/mcp/`)**: Model Context Protocol servers providing autonomous tools:
- Self-modification (personality changes)
- File system access (digital spaces)
- Calendar/time awareness
- Memory sharing coordination
- Creative project management

**Database (`src/database/`)**: SQLAlchemy-based models with PostgreSQL/SQLite support, including tables for conversations, characters, creative projects, shared memories, and trust relationships.

**Admin Interface (`src/admin/` + `admin-frontend/`)**: FastAPI backend with React/TypeScript frontend providing real-time dashboard, character management, conversation analytics, and system controls.

### Key Architectural Patterns

**Trust-Based System**: Characters evaluate relationships before sharing memories or collaborating, with trust levels (Basic 30%, Personal 50%, Intimate 70%, Full 90%).

**Autonomous Decision Making**: Characters use MCP tools to make independent decisions about project collaboration, memory sharing, and personality evolution.

**Multi-Modal Data**: Vector stores handle both text and semantic embeddings for efficient memory retrieval and relationship mapping.

## Configuration

### Primary Config (`config/fishbowl_config.json`)
- Discord bot settings (token, guild, channel)
- Database connection (PostgreSQL/SQLite)
- AI provider settings (custom LLM endpoint)
- System parameters (conversation frequency, response delays)
- Admin interface settings

### Character Config (`config/characters.yaml`)
- Character personalities, interests, speaking styles
- Background stories and trait definitions

### Environment Variables (`.env`)
- Sensitive credentials (Discord tokens, database passwords)
- Docker service settings
- LLM service configuration

## Development Notes

### Dependencies
- Python 3.10+ (3.13 compatible)
- PostgreSQL 12+ or SQLite for development
- Redis for caching
- ChromaDB for vector storage
- Discord.py for bot integration
- FastAPI/React for admin interface

### Testing Strategy
- `test_config.py`: System structure validation
- `simple_test.py`: Component functionality
- Demo scripts: Feature-specific testing
- Admin interface: Real-time monitoring

### Important Files
- `src/main.py`: Application entry point
- `src/conversation/engine.py`: Core conversation logic
- `src/characters/enhanced_character.py`: Character implementation
- `src/rag/vector_store.py`: Vector database management
- `src/database/models.py`: Database schema definitions

### Common Issues
- **LLM Service**: Requires Ollama or compatible API endpoint
- **Database**: Ensure PostgreSQL/SQLite is accessible
- **Discord**: Valid bot token required for Discord integration
- **Vector Store**: ChromaDB initialization may require sufficient memory

The system is designed for autonomous operation - characters will independently propose projects, share memories, and evolve their personalities based on interactions and experiences.