📄 START_HERE.md (THIS IS YOUR ENTRY POINT!)

• Complete overview of the system
• What I built for you
• How to use it
• Next steps

📄 QUICKSTART.md

• Get running in 5 minutes
• Essential commands
• Troubleshooting
• Common use cases

🔧 setup.sh

• Automated setup script
• Checks dependencies
• Starts Docker services
• Usage: bash setup.sh

📄 .env.example

• Environment configuration template
• Copy to .env and add your API keys
• Required: OpenAI API key

📄 README.md

• Complete documentation (500+ lines)
• Full API reference
• Architecture diagrams
• Development guide
• Examples and tutorials

📄 PROJECT_SUMMARY.md

• Detailed breakdown of what I built
• Component descriptions
• Design decisions
• Technical details
• Future roadmap

🐍 demo.py

• Complete working demo (400+ lines)
• Shows full gameplay session
• Creates campaign & characters
• Runs combat encounter
• Demonstrates memory system
• Usage: python demo.py

📄 docker-compose.yml

• Docker configuration
• Defines services:
  • Qdrant (vector database)
  • Backend API server
• Usage: docker-compose up -d

📄 .gitignore

• Files to ignore in git
• Protects secrets and data

🐍 api_server.py (565 lines)

• FastAPI REST API server
• All HTTP endpoints
• WebSocket support
• Main entry point for API access

🐍 enhanced_character.py (570 lines)

• Complete character system
• D&D stats and mechanics
• Character "laptops" (notebooks)
• Memory-driven decisions
• Vector DB integration

🐍 game_mechanics.py (445 lines)

• D&D 5e combat system
• Skill checks
• Dice rolling
• Spell casting (framework)
• Environmental interactions

🐍 game_room.py (550 lines)

• Game session management
• DM system with master vector DB
• Session transcripts
• Turn-based gameplay
• Campaign management

🐍 memory_system.py (791 lines)

• Temporal consciousness engine
• Memory consolidation (episodic → semantic)
• Temporal landmarks
• Autobiographical narratives
• Identity persistence

🐍 vector_memory.py (472 lines)

• Qdrant vector database integration
• Semantic memory retrieval
• Weighted scoring system
• In-memory fallback

🐍 cultural_transmission.py (532 lines)

• Skill teaching & learning
• Cultural evolution
• Imitation learning
• Transmission fidelity tracking

📄 requirements.txt

• Python dependencies
• LangChain, FastAPI, Qdrant, etc.
• Install: pip install -r requirements.txt

📄 Dockerfile

• Container definition for backend
• Python 3.11 slim base
• Installs dependencies
• Runs API server

Code:

• 7 Python modules
• 3,200+ lines of production code
• 1 FastAPI server (565 lines)
• 1 Demo script (400 lines)

Documentation:

• 5 markdown files
• 2,000+ lines of documentation
• Complete API reference
• Quick start guides

Infrastructure:

• Docker Compose setup
• Dockerfile
• Environment configuration

If you want to understand the system:

1. START_HERE.md - Big picture overview
2. QUICKSTART.md - How to run it
3. demo.py - See it working
4. README.md - Deep dive
5. PROJECT_SUMMARY.md - Technical details

If you want to use the system:

1. QUICKSTART.md - Commands to run
2. setup.sh - Automated setup
3. README.md - API reference

If you want to extend the system:

1. PROJECT_SUMMARY.md - Architecture
2. backend/api_server.py - API structure
3. backend/enhanced_character.py - Character system
4. backend/memory_system.py - Memory mechanics

Looking for...

• How to start? → QUICKSTART.md
• What this is? → START_HERE.md
• API endpoints? → README.md (API Reference section)
• Code examples? → demo.py
• Character creation? → enhanced_character.py
• Combat system? → game_mechanics.py
• Memory system? → memory_system.py
• DM features? → game_room.py
• Dependencies? → requirements.txt
• Docker setup? → docker-compose.yml

ai_society_dnd/
├── START_HERE.md           ← Read this first!
├── QUICKSTART.md           ← Get running fast
├── README.md               ← Full documentation
├── PROJECT_SUMMARY.md      ← Technical details
├── FILE_INDEX.md          ← This file
├── setup.sh                ← Automated setup
├── demo.py                 ← Working example
├── docker-compose.yml      ← Infrastructure
├── .env.example            ← Config template
├── .gitignore              ← Git exclusions
└── backend/                ← All Python code
    ├── api_server.py       ← REST API
    ├── enhanced_character.py ← Characters
    ├── game_mechanics.py   ← D&D rules
    ├── game_room.py        ← Sessions & DM
    ├── memory_system.py    ← Consciousness
    ├── vector_memory.py    ← Vector DB
    ├── cultural_transmission.py ← Learning
    ├── requirements.txt    ← Dependencies
    └── Dockerfile          ← Container

Minimum to run:

1. Docker & Docker Compose
2. .env file with OpenAI API key
3. Run: docker-compose up -d

To understand:

1. Read START_HERE.md
2. Run demo.py
3. Try API commands from QUICKSTART.md

To extend:

1. Read PROJECT_SUMMARY.md
2. Study the backend/ code
3. Check README.md for API structure

Ready? Start with START_HERE.md then run bash setup.sh! 🚀