Beacon uses Jev to find agent runs worth learning from
Asymptote Labs open-sourced Beacon, which records agent activity across 20+ harnesses including Claude Code, Codex and Cursor, and uses Jev to judge which runs are worth learning from and turn them into reusable skills.
Another insane Jev use case! Jev is making it dramatically cheaper to evaluate what actually happened inside an agent run. And now, someone has open-sourced a self-improving memory layer that turns those insights into reusable knowledge across agent harnesses: > Claude Code > Codex > Cursor > OpenCode, and 20+ more Beacon by @asymptotelabs continuously records agent activity across harnesses and uses Jev to identify which runs are worth learning from. It converts the most valuable workflows, corrections, and debugging patterns into reusable skills.
This post quotes another post: x.com/simplifyinai/status/2101615737756684455