Google Open-Sources Harness²: Self-Improving AI Agents Without Retraining

Google Research released Harness², an open-source framework that enables AI agents to self-improve by modifying their operational context—prompts, tools, memory, and scripts—without retraining the underlying model. This approach automates agent tuning in open-world tasks by recursively refining the agent's harness components while keeping model weights fixed.