EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery

In three linesEvoSci is a bio-inspired multi-agent framework for scientific discovery using LLMs. It integrates evolution, knowledge graphs, and specialized agents (mentor, researcher, reviewer) to iteratively generate, evaluate, and refine research ideas. On real-world topics, EvoSci achieves ICLR peer-review score of 4.90 and Top-10 ranking of 54%.

Summary generated by Claude — human-verified