# Project Emergence

- **Event:** [Agentic Memory & Context Engineering Hackathon](https://cerebralvalley.ai/e/mongoDB-hackathon)
- **When:** Sat, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Ivan Yeung](https://cerebralvalley.ai/u/theivanyeung)
- **GitHub:** https://github.com/theivanyeung/Project-Emergence
- **Demo video:** https://youtu.be/_qS02TpXZUA
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/35

Project Emergence is an ability compiler that enables AI agents to actively learn by doing. It uses real-world checks to verify results, and stores what worked as Ability Capsules (plan + tools + verified outcome + learned rules). Next time, it reuses those capsules to finish faster and fail less. 

Demo Use Case: GitHub Pull Request, the system opens a PR, fails CI, learns the rule (e.g., "run Prettier"), fixes it, passes, and saves that rule for future PRs.

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Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/35. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt