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    Google releases RRSI framework for evolving LLM agent harnesses

    A post says RRSI evolves an agent harness’s prompts, control flow, tools and memory around a frozen LLM.

    RP
    1 Source, 1h ago, first seen 1h ago

    TLDR

    A post says Google released Regularized Recursive Self-Improvement of Agent Harnesses (RRSI), a framework for automatically evolving LLM agent harnesses. It says the framework changes their prompts, control flow, tools and memory components while leaving the underlying LLM frozen.

    Combined views

    2.4K

    1 Source, first seen 1h ago

    likes

    Combined views

    2.4K

    1 Source, first seen 1h ago

    21 likes
    21
    10 comments
    16 saves
    5 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

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    Featured Source
    10 comments
    16 saves
    5 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Today's Rank

    #6

    Today's Rank

    #6

    1 Source

    @rohanpaul_aiGoogle has released Regularized Recursive Self-Improvement of Agent Harnesses (RRSI): a framework that automatically evolves LLM agent harnesses. RRSI automatically evolves all prompt, control flow, tool, and memory components of an agent harness around a frozen LLM

    1 Source

    @rohanpaul_aiGoogle has released Regularized Recursive Self-Improvement of Agent Harnesses (RRSI): a framework that automatically evolves LLM agent harnesses. RRSI automatically evolves all prompt, control flow, tool, and memory components of an agent harness around a frozen LLM