EvoTeam: Multi-Agent Collaboration via Evolving Teams
EvoTeam: Multi-Agent Collaboration via Evolving Teams
EvoTeam demonstrates effectiveness in four benchmark tests by executing experience-based joint evolution of team organization, interaction rules, and agent skills while maintaining a reusable team library. It maintains a reusable team library, guides collaboration through specific team interaction rules, and accumulates collaboration experience in compatible team contexts, with individual skills being reusable across different teams.
Published on Oct 30
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Abstract
EvoTeam evolves multi-agent collaboration by jointly adapting team organization, interaction rules, and agent skills through execution experience while maintaining reusable team libraries.
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. Recent studies have therefore extended evolution to the collaboration level, using collective execution experience to adjust team organization, and inter-agent interactions. Nevertheless, evolving collaboration across heterogeneous tasks remains challenging, as existing approaches often constrain team reorganization within a shared structure and reuse interaction rules across incompatible team contexts. In this paper, we propose EvoTeam, a collaboration-centric evolution framework that jointly evolves team organization, interaction rules, and individual agent skills through execution experience. It maintains a library of reusable teams, selecting or creating agent teams and guiding collaboration through team-specific interaction rules. Collaboration experience accumulates within compatible team contexts, while individual skills remain reusable across teams. Experiments across four benchmarks demonstrate its effectiveness. Our code is available at https://github.com/DEEP-JLU/EvoTeam.
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