# Google Research Open-Sources RRSI: AI Agents That Improve Their Own Harness Without Overfitting

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/google-research-open-sources-rrsi-ai-agents-that-improve-their-own-harness-without
> **Original Source**: [MarkTechPost](https://www.marktechpost.com/2026/09/29/google-research-open-sources-rrsi-ai-agents-that-improve-their-own-harness-without-overfitting/)
> **Author**: Asif Razzaq (undefined)
> **Published Date**: Tuesday, September 29, 2026
> **Category**: CULTURE
> **Tags**: News, MarkTechPost, AI

## Executive Summary
Google Cloud AI Research has open-sourced RRSI, a framework that lets LLM agents rewrite their own prompts, tools and memory while model weights stay frozen. It adds a leakage critic, a noise floor, a cost rule and pruning so gains carry over to new tasks. Wit



## Full Coverage
Google Cloud AI Research has open-sourced RRSI, a framework that lets LLM agents rewrite their own prompts, tools and memory while model weights stay frozen. It adds a leakage critic, a noise floor, a cost rule and pruning so gains carry over to new tasks. Wit

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