Reproduce “CoworkOS:Scaling Agent Coworkers for Real-world Automation” on OpenResearch

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About this paper

Jiajie Jin, Guanting Dong, Chengjun Pan, Xin Deng, Zhuohui Sheng, Guoqiang Wang, Tao Gui, Yutao Zhu and 32 more

CoworkOS addresses complex work by letting a Main Agent direct delegated tasks while a Coordinator tracks assignments and feedback, and Subagents execute bounded work. Persistent jobs, memory, and shared resources support continuity across interruptions. In a five-round post-training case study, the mean across eight benchmark scores rose from 33.19 to 42.95; this measured increase does not isolate CoworkOS’s causal effect.

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