IBM对比评测CUGA等智能体框架表现
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2026年11月3日，IBM研究团队在Hugging Face公布了一项关于运行外壳对智能体任务表现影响的研究结果。该研究团队在AppWorld基准评测中，对比了CUGA、Hermes与Deep Agents三种智能体框架的表现。评测结果显示，在固定采用开源模型GLM-5.3-flash的条件下，CUGA框架将智能体的任务完成率从30%大幅提升至81.1%。
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- Hugging FaceSelectedIBM Compares CUGA, Hermes, and Deep Agents: How Runtime Shells Impact Agent Task Performance
In an evaluation on the AppWorld benchmark comparing three agent frameworks—CUGA, Hermes, and Deep Agents—an IBM research team found that while holding the open-source GLM-5.3-flash model constant, CUGA increased the task completion rate from 30% to 81.1%.
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