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Cowork-Gym synthesizes 64.9K interactive work environments for agent training

huggingface.co by Anni Zou et al. Editor score 8/10

Cowork-Gym uses a build-execute-revise loop and stateful user simulation to generate 64.9K environments; its post-trained models improve by 8.7, 6.4 and 4.1 points across six benchmarks. The scale and measured gains make it a useful example of building realistic training environments for tool-using agents.

What

Cowork-Gym synthesizes interactive work environments through a build-execute-revise loop that uses execution evidence and review feedback to validate and repair them.

Method

A stateful user simulator responds to agent actions through dialogue and direct edits to the shared workspace.

Why it matters

The framework produced 64.9K environments across 14 application scenarios for training and evaluating agents in changing, tool-rich workspaces.

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