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IBM releases comparative evaluation of its open-source CUGA agent framework

What happened

AI digest

On 3 November 2026, IBM's team published a comparative evaluation on the Hugging Face blog, testing three agent frameworks — CUGA, Hermes and Deep Agents — on 90 AppWorld tasks using the same open-weight model, GLM-5.3-flash. Task pass rates were 81.1%, 46.7% and 30.0% respectively, and full-scenario pass rates were 66.7%, 26.7% and 6.7%. The comparison set out to examine performance differences when the same model is swapped between harnesses, and CUGA led on both metrics, the report said.

Written by AI from the reports · updated 1 h ago

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Nov 3
  1. Hugging Face BlogSelected
    Same Model, Different Harness: CUGA, Hermes, and Deep Agents — When to Pick CUGA?

    An IBM team compared CUGA, Hermes and Deep Agents on 90 AppWorld tasks using the same open-weight model, GLM-5.3-flash. Task pass rates were 81.1%, 46.7% and 30.0%, and full-scenario pass rates were 66.7%, 26.7% and 6.7%.

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