Open-source, cross-harness memory for AI agents
Earlier this year, my co-founder and I found ourselves frequently switching between different coding agents (Claude Code, Codex, Cursor) anytime we ran out of shaky usage limits or a newer, better model came out. We became increasingly frustrated with having to re-explain our tasks, workflows, common mistake patterns, etc. anytime we switched agents. We found no good free alternatives out there, so we built our own and fully open-sourced it! Beacon hooks into 20+ different agent harnesses, captu
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来源记录
指标快照
points · 15 votes
2026-10-22 03:00:18.862Z
cumulative since publication
研究分析
项目记录
来源描述：Earlier this year, my co-founder and I found ourselves frequently switching between different coding agents (Claude Code, Codex, Cursor) anytime we ran out of shaky usage limits or a newer, better model came out. We became increasingly frustrated with having to re-explain our tasks, workflows, common mistake patterns, etc. anytime we switched agents. We found no good free alternatives out there, so we built our own and fully open-sourced it! Beacon hooks into 20+ different agent harnesses, captu
采用记录与比较对象
来源票数: 15 votes (2026年10月22日 UTC; cumulative since publication)；前次同口径记录为 15（2026年10月21日 UTC），两个观测值不等于需求增长。 可供比较的近期同类记录：“google/skills” (GitHub Trending, 2026年11月6日)；“mattpocock/skills” (GitHub Trending, 2026年11月6日)。主题相近仅用于导航，未核验其是否属于同一需求或独立证据。
采用判断
应与它要替代的工具或人工流程比较。现有记录支持发现项目，尚不能确认可靠性、运行成本优势或商业采用。
尚未核验的门槛
尚未核验：许可证权限、硬件要求、安装步骤、维护状态，以及包含失败样例的代表性任务。
下一步试验
选择一个真实任务和现有替代方案，记录 commit、环境、输入、输出、耗时与失败行为；保留结果后再给出采用建议。