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This article is primarily about an AI agent framework, so it passes the topic gate. Harness2 is an open-source tool for improving agents at test time by rewriting their harness rather than retraining weights, and the reported 11.5-point gain on WorkBuddy-Bench is a single benchmark result from one refinement step, so readers should wait for independent replication before treating it as a general improvement. The main value for practitioners is the approach itself: test-time harness optimization as a lower-cost alternative to fine-tuning for agent performance.

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Google Open-Sources Harness2, a Recursive Agent Harnessing Framework

MarkTechPost18 octombrie 20261 min de cititArticolul și perspectiva sunt în engleză.

Google Research released Harness2, an Apache-2.0 framework that rewrites an agent's harness at test time. One refinement step lifted GLM-5 by 11.5 points on WorkBuddy-Bench with no weight updates. The post Google Open-Sources Harness2, a Recursive Agent Harnessing Framework appeared first on MarkTechPost.

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