Beacon：用 Jev 筛选值得学习的 agent 运行记录

Oliver Prompts @oliviscusAI原推发布于 2026.09.21

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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.

这条是引用着另一条写的：x.com/simplifyinai/status/2101615737756684455