Google Research introduces Harness² agent framework

On October 19 the Hacker News front page reported on Harness², an agent framework from Google Research. The report describes it as a plug-and-play framework that keeps model weights fixed and instead tunes components such as prompts, tools and memory through task-level and cross-task recursive optimization. The optimization targets those components of the agent execution harness, not the model weights. What the report discloses so far is the framework's basic form and optimization mechanism; it gives no performance numbers, concrete use cases or release plans.

Written by AI from the coverage · updated 2 hours ago

Not enough continuous observations to draw a trend yet.