Meta's GitSwarm lets AI agents build on a shared Git repo, including failed attempts
Overview
Meta researchers present GitSwarm, a system in which many identical AI agents work on a shared Git repository without a central coordinator.
Each agent reads earlier commits, including failed attempts, and records which ones it used. On 50 ProgramBench program-rebuilding tasks, GitSwarm scores a 79.4% mean, compared with 65.1% for a single Codex agent told to keep working, at similar compute, according to the paper as reported by Rohan Paul on X.
Written by AI from the articles below · updated Oct 11, 6:41 AM ET
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Rohan Paul@rohanpaul_aiXMeta's GitSwarm lets AI agents build on shared Git history, failures includedAIMeta researchers present GitSwarm, a system where many identical agents work on a shared Git repo without a central coordinator. Each agent reads earlier commits, including failed attempts, and records which ones it used. On 50 ProgramBench tasks, GitSwarm reaches a 79.4% mean score, versus 65.1% for a single Codex agent at similar compute.

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