# NemoDots

- **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:** [Charlie Gillet](https://cerebralvalley.ai/u/charlie_gillet)
- **GitHub:** https://github.com/charliegillet/nemodots
- **Demo video:** https://drive.google.com/drive/folders/1IMReBRbyj5vERwldbtcOuoTNXwIxhj6J?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/28

The problem: Agents act on old facts. In a multi-agent team, one agent often keeps acting on a fact that has since changed. The result is wasted work or the wrong fix applied to a live system.

The idea: Receipts for every fact. Every observation gets a versioned receipt, and every task and fix records which receipts it used. When a source changes, dependent work is marked stale, and a final check blocks any fix built on stale receipts.

The proof: A real app gets fixed. A real checkout service is secretly broken. The agents find and fix it with no hints. A real test order decides whether it worked, not an agent saying "fixed".

## More from The Recursive Agents Hackathon

- [Done](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/25)
- [AYA](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/26)
- [TicketZero](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/27)
- [Miles](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/29)
- [piiguard: the self-learning content layer for sandboxed agents](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/30)
- [Covora](https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/31)

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Markdown version of https://cerebralvalley.ai/e/crusoe-recursive-agents-hackathon/hackathon/gallery/28. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt