Google Open-Sources RRSI, Enabling Agent Harnesses to Evolve Around Frozen LLMs
Google Research released and open-sourced RRSI, a framework that recursively self-improves agent harnesses (prompts, control flow, tools, memory) around frozen LLMs, using regularization to avoid overfitting and preserve generalization.
2026-10-01 ~ 2026-10-01 · 3 related posts
- Episode 1: Google Proposes RRSI: Regularizing Recursive Self-Improvement of Agent Harnesses(2026-09-22, 8 posts)
- Episode 2: Google Open-Sources RRSI for Recursive Agent Self-Improvement(2026-09-28, 2 posts)
- Episode 3: Google Open-Sources RRSI, Enabling Agent Harnesses to Evolve Around Frozen LLMs(2026-10-01, 3 posts)
- Google AI proposes RRSI to stop recursive self-improving agents from overfitting benchmarks — burkov · 2026-10-01
- Google releases RRSI, a framework that auto-evolves LLM agent harnesses around a frozen model — rohanpaul_ai · 2026-10-01
1 near-duplicate retellings: rohanpaul_ai