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EvoScientist
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EvoScientist aims to harness vibe research by enabling self-evolving AI scientists that autonomously explore, generate insights, and iteratively improve. It is designed to be opinionated and ready to use out of the box, offering a living research system that grows alongside evolving agent skills, toolsets, and memory bases. Moving beyond traditional human-in-the-loop systems, EvoScientist adopts a human-on-the-loop paradigm, where AI acts as a research buddy that co-evolves with human researchers and internalizes scholarly taste and scientific judgment.

Repository Description
EvoScientist Core multi-agent system for end-to-end automated scientific discovery.
EvoSkills Official skill repository — 10 research-lifecycle skills from ideation to publication.

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  1. EvoScientist EvoScientist Public

    🔬 Harness Vibe Research with Self-evolving AI Scientists

    Python 31

  2. EvoSkills EvoSkills Public

    🧬 Extend EvoScientist with Installable Skill & Knowledge Packs

    TeX 2

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