iCreatAI News
Skip to content
Hugging Face Blog·· 3 days agoFeaturedAI score60

Same Model, Different Harness: CUGA, Hermes, and Deep Agents — When to Pick CUGA?

Same Model, Different Harness: CUGA, Hermes, and Deep Agents — When to Pick CUGA?

AI summary

IBM ran CUGA, Hermes, and Deep Agents on the same open-weight model (GLM-5.3-flash) across 90 AppWorld tasks, and task completion ranged from 30% to 81% depending only on the harness, with CUGA at 81.1% (73/90) versus Hermes at 46.7% and Deep Agents at 30.0%. CUGA is IBM's Apache 2.0 harness for enterprise API work, adding runtime-enforced policies (intent guards, tool approvals, ToolGuards, output formatting) and deployment inside sovereign or air-gapped environments. The authors note the 90-task sample, non-identical setups, and absence of policy testing as limits, and say CUGA is not the right fit for terminal coding or personal chat assistants.

Why it matters

Useful for teams choosing an agent harness, since it isolates harness effects with a fixed model and shows where runtime policy enforcement fits enterprise needs.

Source: Hugging Face Blog · huggingface.co