EvoTeam evolves multi-agent collaboration teams
Original title: EvoTeam: Multi-Agent Collaboration via Evolving Teams
EvoTeam jointly evolves team organization, interaction rules and agent skills across heterogeneous tasks.
EvoTeam is a collaboration-centric evolution framework for LLM-based multi-agent systems. It maintains a library of reusable teams and uses team-specific interaction rules to guide collaboration while allowing individual skills to remain reusable. Experiments on four benchmarks show it improves team performance by evolving organization and rules based on execution experience.
- Jointly evolves team organization, interaction rules and agent skills
- Maintains reusable team library
- Accumulates experience in compatible team contexts
- Tested across four benchmarks
From the original article
1 min read at huggingface.co
LLM-based multi-agent systems (MAS) rely on collaboration among specialized agents to solve complex tasks. Existing methods improve MAS by refining the prompts, skills, and execution strategies of individual agents based on task feedback. However, improving individual agents does not necessarily lead to better team collaboration.
By Qinuo Cao, Xin He, Dianxuan Fu · huggingface.co
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