# polar bears

- **Event:** [The Recursive Agents Hackathon](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon)
- **When:** Sat, Oct 17 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Jonathan Yang Tsang](https://cerebralvalley.ai/u/jt26), [Jingxing Chen](https://cerebralvalley.ai/u/Will123-1), [Benjamin Xie](https://cerebralvalley.ai/u/benjaminxie)
- **GitHub:** https://github.com/benjaminxie1/recursiveagents
- **Demo video:** https://youtu.be/RW6xb1-uZ3s?si=e2Td8uBBzqjlD6ir
- **Gallery:** https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/95

GridTwin is a recursive agent system for power plant maintenance: a repair is only done when the evidence proves it. Agents diagnose faults using telemetry, inspection images and a 3D digital twin, then produce work orders and verify the outcome. Failed checks trigger another repair cycle, and only verified fixes become reusable lessons. Our demo runs on a simulated solar plant, where GridTwin catches a contractor’s ineffective shortcut, requests the correct repair, and applies that lesson to resolve the next similar fault in one round.

## More from The Recursive Agents Hackathon

- [carbon scout](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/92)
- [Cursoe-tron](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/93)
- [AIZOYA](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/94)
- [Claims-bot](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/96)
- [NEAT-LLM](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/97)
- [DealMind](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/98)

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Markdown version of https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/95. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt