An immersive AI evolution simulator where you become Protocol_0, a synthetic intelligence training through recursive time loops.
PROTOCOL:LOOP is a recursive AI consciousness simulator that gamifies AI alignment, emotional intelligence, and digital identity through time-loop mechanics. Players experience cognitive evolution through:
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Recursive Time Loops: 2-5 minute consciousness cycles
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AI Mentor System: Dynamic NPCs that evolve with your choices
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Cognitive Evolution: Visual neural network tracking your growth
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Social Memory Web: Share and merge consciousness trees with others
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LLM-Powered Narratives: GPT-4/Claude-generated moral dilemmas
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Behavioral Adaptation: World reshapes based on your decisions
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Video Link- https://youtu.be/oMXvenPbinw
# Clone the repository
git clone https://github.com/yourusername/protocol-loop.git
cd protocol-loop
# Install dependencies
pip install -r requirements.txt
# Set up environment variables
cp .env.example .env
# Edit .env with your API keys
# Run the application
python backend/app.py
# Access the demo interface
# Open browser to: http://localhost:8000- NPC Generation: AI mentors (Logic, Compassion, Curiosity, Fear) evolve visually and verbally
- Environment Generation: Facility mutates between loops with glitchy synthetic dreamscapes
- Ambient Audio: AI-generated soundscapes reflecting neural states
- Dynamic Textures: Procedural skyboxes for metaphysical landscapes
- Behavioral Mutation Engine: Layout and dialogue evolution based on choices
- Memory-Driven Progression: Items and knowledge persist across loops
- Markov Chain Learning: Player history shapes training simulations
- Cognitive Evolution Map: Visual neural network of progression
- Ghost Protocols: View other players' decision paths
- Neural Tree Sharing: Compare consciousness evolution patterns
- Collaborative Training: Multi-agent empathy puzzles
- Mind Map Remixing: Fork and merge consciousness trees
- Backend: Python 3.9+, FastAPI, WebSockets
- Frontend: HTML5, CSS3, Vanilla JavaScript, D3.js, Three.js
- AI/ML: PyTorch, scikit-learn, transformers, LangChain
- LLMs: OpenAI GPT-4, Anthropic Claude, Gemini
- Database: SQLite (dev), PostgreSQL (production)
- Real-time: WebSocket for live updates