Google Research's harness² Applies RSI Techniques to the Agent Harness with a Fixed Model

LangChain · x · 2026-10-19

Google Research released harness², techniques for running RSI-like self-improvement on the agent harness while keeping the underlying model fixed — a process they call "harnessing".

Sydney Runkle (LangChain) notes this is essentially the same as hill climbing or continual learning, and shares more details in a thread.

Related event: Google Research Open-Sources Harness²: Recursive Agent Self-Improvement Without Touching Model Weights(7 posts)→

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