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Google open-sources Harness² for self-improving AI agents

By PulseAugur Editorial · [1 sources] ·

Google has open-sourced Harness², a framework designed to enable AI agents to self-improve without requiring retraining of the underlying models. The system utilizes two recursive loops to enhance prompts, tools, memory, and scripts. A free demo is available for users to explore its capabilities. AI

IMPACT Enables AI agents to enhance their own capabilities, potentially reducing the need for manual model updates and retraining.

RANK_REASON Open-source release of an AI framework by a major tech company.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google open-sources Harness² for self-improving AI agents

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Open-source release of an AI framework by a major tech company.
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1 days old
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    📰 Google Open-Sources Harness²: Self-Improving AI Agents Without Retraining Google's Harness² lets AI agents improve their prompts, tools, memory, and scripts t

    📰 Google Open-Sources Harness²: Self-Improving AI Agents Without Retraining Google's Harness² lets AI agents improve their prompts, tools, memory, and scripts through two recursive loops without touching model weights. Learn more, including how to run the free demo yourself. 📰 So…

    LINKS kdnuggets.com/google-open-sources-harness…

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