Meta 论文提出 GitSwarm：共享 Git 仓库让 AI 智能体接力彼此工作
Meta 新论文提出 GitSwarm，让多个相同智能体在共享 Git 仓库上协作，无中心分配任务，每个智能体阅读过往工作、提交结果并标注所依赖的先前提交（含失败尝试）。在 ProgramBench 的 50 项程序重建任务上，GitSwarm 得分 79.4%，而同等算力下被告知持续工作的单个 Codex 智能体最高为 65.1%；后续智能体在 94.7% 的已保存贡献基础上继续构建。
New Meta paper shows that AI agents can build on each other's work, even failed attempts, when every step lives in a shared Git repo.
Most ways to give agents more compute treat each run on its own. When a run ends, its partial results and failures vanish, so later runs may need to rediscover them.
GitSwarm runs many identical agents on a shared repo, with no boss assigning tasks. Each agent reads past work, picks what to try, and commits its result with a list of earlier commits it used, even from other branches.
On 50 program-rebuilding tasks from ProgramBench, GitSwarm scored 79.4%, while a single Codex agent told to keep working peaked at 65.1% at similar compute. Later agents built on 94.7% of saved contributions.
Instead of pushing a single agent to keep going, run several over a shared Git history that keeps every attempt, failures included.
来源：rohanpaul_ai · x.com