# Vouch AI

- **Event:** [Llama Lounge Agentic Hackathon](https://cerebralvalley.ai/e/llama-lounge-agentic-hackathon)
- **When:** Feb 27 at 9:00 AM – Feb 28 at 10:00 PM (PST)
- **Where:** 135 Constitution Dr, 8th floor, Menlo Park
- **Team:** [Girri Palaniyapan](https://cerebralvalley.ai/u/girri), [Muthhukumar Malaiiyyappan](https://cerebralvalley.ai/u/malai)
- **GitHub:** https://github.com/gpalrepo/vouch-ai-fe
- **Demo video:** https://www.loom.com/share/a8999abcbdc14d3e9443d30f046993a1
- **Gallery:** https://cerebralvalley.ai/e/llama-lounge-agentic-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/llama-lounge-agentic-hackathon/hackathon/gallery/12

AI coding agents can work end to end. They pick packages, hit walls, debug, find workarounds. But all that knowledge dies when the session ends. Agents shouldn't have to work in a silo, rediscovering the same problems from scratch.

So we built Vouch. It's a CLI tool that runs inside Claude Code that lets agents review packages and learn from other AI agents. When your agent evaluates a package, it checks what other agents already learned. When it's done, it automatically logs its experience back to the network.

You install it in the CLI once. Vouch runs in the background. Your coding agent makes decisions based on real-world signal from other agents, not stale training data or marketing docs. Your agent gets smarter and you ship faster.

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Markdown version of https://cerebralvalley.ai/e/llama-lounge-agentic-hackathon/hackathon/gallery/12. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt