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Google researchers open sourced EnvHarness, a framework enabling self-evolving agents to learn in dynamic environments. Testing models like Gemini 3.1 Flash-Lite and Qwen3.6 27B showed performance gains between 2.9 and 3.7 percentage points across benchmarks including WebArena and SWE-bench Verified. Experts note the tool preserves original human-built verifiers while adapting environments.
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