Project Emergence
Agentic Memory & Context Engineering HackathonProject 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.
Team
Placement
Participant
