Google's open source EnvHarness lets AI agents train against environments that evolve with them

Google and academic partners developed EnvHarness, an open source framework that dynamically adapts training environments for AI agents by modifying start states and task parameters without changing the underlying environment. This approach improves agent learning efficiency by targeting weaknesses and eliminating static training bottlenecks across benchmarks in software engineering, web navigation, and more.

This Wire brief sits within Fusion42's coverage of AI Agents and AI Infrastructure.