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. |
