Effective computer-use agents (CUAs) should seamlessly combine visual GUI interaction with code and terminal execution within a single policy. We present Mage-VL-Cowork, a 4B hybrid CUA trained from a
Mage-VL-Cowork is a 4B hybrid computer-use agent trained via a progressive curriculum and scalable synthetic data generation, achieving state-of-the-art performance on OSWorld-Verified with efficient reasoning.
Effective computer-use agents (CUAs) should seamlessly combine visual GUI interaction with code and terminal execution within a single policy. We present Mage-VL-Cowork, a 4B hybrid CUA trained from a general multimodally aligned checkpoint through an end-to-end, progressive five-stage curriculum across midtraining, SFT, and RL. To power this curriculum at scale, Mage-CUA-Forge replaces per-task agent construction with reusable, skill-conditioned generation workflows and application-specific preparers, synthesizing 293,806 desktop and web tasks across 6,915 skills while reducing recurring per-task expenditure by 82.6%. Rather than directly distilling a default teacher, we evolve the…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
Mage-VL-Cowork: A Full Training Recipe to Learn Hybrid Computer Use From Evolved Harnesses was first seen on Hugging Face · Daily papers on Nov 4, 2026. Since then it has appeared in 11 checks on 2 different days. Its best position was #17 of 30, reached on Nov 5, 01:28 UTC. It dropped off the list after Nov 5, 01:28 UTC.
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Not at the moment. It was last on the list on Nov 5, 01:28 UTC, after 2 days of trending.
#17 on Hugging Face · Daily papers, on Nov 5, 01:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 4, 2026 and has been on the list on 2 days (11 checks) since.