[2603.21475] Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems

Computer Science > Artificial Intelligence arXiv:2603.21475 (cs) [Submitted on 23 Mar 2026] Title:Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems Authors:Hehai Lin, Yu Yan, Zixuan Wang, Bo Xu, Sudong Wang, Weiquan Huang, Ruochen Zhao, Minzhi Li, Chengwei Qin View a PDF of the paper titled Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems, by Hehai Lin and 8 other authors View PDF HTML (experimental) Abstract:Automatic Multi-Agent Systems (MAS) generation has emerged as a promising paradigm for solving complex reasoning tasks. However, existing frameworks are fundamentally bottlenecked when applied to knowledge-intensive domains (e.g., healthcare and law). They either rely on a static library of general nodes like Chain-of-Thought, which lack specialized expertise, or attempt to generate nodes on the fly. In the latter case, the orchestrator is not only bound by its internal knowledge limits but must also simultaneously generate domain-specific logic and optimize high-level topology, leading to a severe architectural coupling that degrades overall system efficacy. To bridge this gap, we propose Unified-MAS that decouples granular node implementation from topological orchestration via offline node synthesis. Unified-MAS operates in two stages: (1) Search-Based Node Generation retrieves external open-world knowledge to synthesize specialized node blueprints, overcoming ...