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

Google Research has released RRSI, an open-source framework that enables large language model agents to iteratively improve their own prompts, tools, and memory without requiring adjustments to the underlying model weights. By incorporating mechanisms like a leakage critic and performance-based pruning, the system aims to improve task execution while preventing the model from overfitting to specific examples. This approach offers a way to enhance agent performance and adaptability during deployment while keeping the core model static.