@rohanpaul_ai: Treating agent memory like a Git repo, with commits and branches, lets agents drop outdated requirements and keep the w…
Summary
研究提出将智能体记忆类比 Git 仓库，通过 commits 与 branches 管理任务版本，使智能体能丢弃过期需求并从正确版本恢复。方法 GitHarness 在全部 30 个测试设置中优于普通续跑，某设置下编码任务 token 消耗减少 73.6% 且得分更高。
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Cached at: 10/05/26, 01:32 PM
Treating agent memory like a Git repo, with commits and branches, lets agents drop outdated requirements and keep the work that is still valid.
Agents handle mid-task changes from users better when they save versions of their work and resume from the right one, so build that versioning into any agent that takes feedback.
Users rarely give a full spec upfront. They add, fix, or drop requirements as results come in. Most agents then carry stale work forward or redo everything.
GitHarness stores each requirement with its matching work, like Git commits, and branches from the closest valid version. It beat plain continuation in all 30 tested settings. In 1 setup, it used 73.6% fewer tokens on coding tasks while scoring higher.
When a user changes 1 detail, go back to the version that still fits and redo only what changed.
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