# Caine

- **Event:** [RAISE Summit Hackathon](https://cerebralvalley.ai/e/raise-summit-hackathon)
- **When:** Jul 4 at 9:00 AM – Jul 5 at 7:00 PM (GMT+2)
- **Where:** Paris, France
- **Team:** [Georges Briche](https://cerebralvalley.ai/u/Caine)
- **GitHub:** https://github.com/Neoxotik/Swarm-decentralized-agent
- **Demo video:** https://youtu.be/x1t83r_uJyI
- **Gallery:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/131

Development of a real-time digital twin for an autonomous AGV fleet operating in a warehouse environment. Robots self-organize without a central controller to detect and resolve floor incidents while safely navigating around racks and obstacles. Coordination emerges through Active Inference and free-energy minimization over a continuously learned shared world model. A supervisor LLM, deployed on Crusoe Managed Inference, converts the live operational state into clear, actionable recommendations for non-technical operators and continuously improves through operator feedback and Bayesian evidence updates. Built as a scalable proof of concept for industrial and operational environments using pure Python (NumPy and Pygame) with no GPU requirements.

## More from RAISE Summit Hackathon

- [Cursor2Crushed](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/128)
- [CONDUCTOR](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/129)
- [TEAM STATION F](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/130)
- [Kobin](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/132)
- [LosFenixz](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/133)
- [Sovereign Labs](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/134)

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Markdown version of https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/131. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
