Vivesca

Vivesca acts as an information metabolism engine, providing an opinionated framework designed to optimize how Large Language Models (LLMs) utilize their context. By treating every text fragment as 'energy' under continuous selection pressure, Vivesca aims to prevent token waste and foster evolving, robust LLM tool ecosystems. It specifically tests the hypothesis that LLM systems should self-manage their context through an evolutionary process governed by 'taste,' rather than relying solely on manual optimization or simple metrics, to achieve superior performance and adaptability.

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