EVOHARNESSBENCH Tests Agent Performance Under Evolving Tool and Skill Sets
September 2, 2026
EVOHARNESSBENCH evaluates LLM agents by introducing non-stationarity into the tool and skill harness itself rather than just the task stream. The benchmark includes 802 tasks across 520 tools, 42 skills, and 62 specialized agents.
HOW THIS AFFECTS YOU
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builderYou can use this to test how robust your agentic workflows are when new tools or APIs are added to the ecosystem.
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researcherThis provides a more realistic framework for studying agentic continual learning in dynamic environments.