Google Research open-sources Harness², a recursive agent harnessing framework (up to +11.5 pts)

Saboo_Shubham_ · x · 2026-10-18

Google Research released Harness² (Apache-2.0, 1.8k stars), a plug-and-play framework for recursive agent harnessing with frozen model weights. Task-level recursion refines the execution harness via a contrastive Propose–Probe–Compose loop, while harnessing-level recursion maintains a persistent improvement harness with evidence-backed lessons. A single step lifts GLM-5 and Gemini 3.5 Flash over their base harnesses by up to +11.5 pts on WorkBuddy-Bench, +4.5 on JobBench, and +11.8 pts partial pass on LAB. Supports parallel/sequential recursion, OpenCode and Codex executors.

Related event: Google Open-Sources Harness²: Agents Recursively Optimize Their Own Framework Without Training(5 posts)→

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