arxiv:2603.27303

Self-evolving AI agents for protein discovery and directed evolution

Published on Mar 28

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Abstract

VenusFactory2 enables autonomous protein discovery and optimization through dynamic workflow synthesis using a self-evolving multi-agent system that surpasses existing agents on benchmark evaluations.

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Protein scientific discovery is bottlenecked by the manual orchestration of information and algorithms, while general agents are insufficient in complex domain projects. VenusFactory2 provides an autonomous framework that shifts from static tool usage to dynamic workflow synthesis via a self-evolving multi-agent infrastructure to address protein-related demands. It outperforms a set of well-known agents on the VenusAgentEval benchmark, and autonomously organizes the discovery and optimization of proteins from a single natural language prompt.

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