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      Google Launches Open-Source AI Tool Harness² with Significant Performance Improvements

      Google Research has introduced Harness², an open-source AI toolchain designed to enhance the self-improvement capabilities of AI agents. This framework allows AI agents to autonomously adjust system prompts, memories, skills, tool rules, scripts, and plugins without the need for retraining. Licensed under the Apache 2.0 license, Harness² supports OpenCode and Codex, enabling agents to learn through trial and error by proposing and executing various improvement plans when faced with new tasks.

      In recent tests, the GLM-5 model, when paired with OpenCode, achieved a notable increase in performance on the WorkBuddy-Bench, raising its average score from 64.2 to 75.7 after a single optimization round. This score surpassed that of the unoptimized Gemini 3.5 Flash, which scored 72.4. Additionally, in legal task assessments, GLM-5's pass rate for partial scoring criteria improved from 59.6% to 71.4%.

      The testing involved Claude Opus 4.8, which was set to propose and implement enhancements, while GLM-5 and Gemini focused on task execution. Joseph Zhou, a domestic developer, showcased an experiment demonstrating that Harness², when integrated with Jev 1.14, led to continuous performance improvements in visual tasks.

      © 2026 KLEA News. All Rights Reserved. This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

      Source: KLEA News

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