#Google Research
2 related articles
·2 min
Harness²: Enabling AI Agents to Self-Evolve, Achieving an 11.5-Point Gain Without Real Annotations
Google Research open-sources Harness², a framework that uses dual recursion to let LLM agents automatically evolve prompts, tools, and memory, gaining up to 11.5 points on WorkBuddy-Bench without real annotations.
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·2 min
Google Open-Sources Harness2: Letting AI Agents Self-Evolve
Google Research open-sources Harness2, a framework that lets AI Agents automatically improve system prompts, tools, and memory configurations through a propose, trial-run, and select loop—no labeled data or scoring model required, validated on Gemini and GLM.
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