Research · Saturday 17 October 2026 · story 12
Google open sources EnvHarness for adaptive agent training
InfoQ reports Google researchers open sourced EnvHarness, a framework for adapting training environments around agent weaknesses without changing the agent, environment, or evaluation system. Google's paper says it improved performance on WebArena, SWE-bench Verified, and ALFWorld.
Why it matters. It gives agent engineers a way to keep training useful by adapting environments around recurring weaknesses without changing core logic or benchmark verifiers.
Read the original at infoq.com