Google Cloud AI Research introduces OO-Harness, a self-evolving agent harness framework
Overview
Google Cloud AI Research and UIUC introduce OO-Harness, which evolves a class hierarchy of specialized agent harnesses from execution records instead of one global harness for every task.
Elvis Saravia reports that on AutomationBench the score rises from 61.6% to 77.4% with the same Gemini 3.5 Flash executor.
The paper also reports gains on Workspace-Bench and Toolathlon-GYM, according to the same post.
Written by AI from the articles below · updated Oct 21, 10:37 AM ET
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elvis@omarsar0XGoogle Cloud AI Research proposes object-oriented agent harnesses that raise benchmark scoresAIGoogle Cloud AI Research and UIUC introduce OO-Harness, which evolves a hierarchy of specialized agent harness classes from execution records. On AutomationBench, the score rises from 61.6% to 77.4% with the same Gemini 3.5 Flash executor, and the paper reports gains on Workspace-Bench and Toolathlon-GYM as well.

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