MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
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Computer Science > Computation and Language
arXiv:2505.16988 (cs)
[Submitted on 22 May 2025 (v1), last revised 12 Jun 2026 (this version, v2)]
Title:MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
Authors:Rui Ye, Keduan Huang, Qimin Wu, Yuzhu Cai, Tian Jin, Xianghe Pang, Xiangrui Liu, Jiaqi Su, Chen Qian, Bohan Tang, Kaiqu Liang, Jiaao Chen, Yue Hu, Zhenfei Yin, Rongye Shi, Bo An, Yang Gao, Wenjun Wu, Lei Bai, Siheng Chen
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Abstract:LLM-based multi-agent systems (MAS) have demonstrated significant potential in enhancing single LLMs to address complex and diverse tasks in practical applications. Despite considerable advancements, the field lacks a unified codebase that consolidates existing methods, resulting in redundant re-implementation efforts, unfair comparisons, and high entry barriers for researchers. To address these challenges, we introduce MASLab, a unified, comprehensive, and research-friendly codebase for LLM-based MAS. (1) MASLab integrates over 20 established methods across multiple domains, each rigorously validated by comparing step-by-step outputs with its official implementation. (2) MASLab provides a unified environment with various benchmarks for fair comparisons among methods, ensuring consistent inputs and standardized evaluation protocols. (3) MASLab implements methods within a shared streamlined structure, lowering the barriers for understanding and extension. Building on MASLab, we conduct extensive experiments covering 10+ benchmarks and 8 models, offering researchers a clear and comprehensive view of the current landscape of MAS methods. MASLab will continue to evolve, tracking the latest developments in the field, and invite contributions from the broader open-source community.
| Comments: | 18 pages, 11 figures |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2505.16988 [cs.CL] |
| (or arXiv:2505.16988v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2505.16988
arXiv-issued DOI via DataCite
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Submission history
From: Rui Ye [view email][v1] Thu, 22 May 2025 17:54:38 UTC (2,735 KB)
[v2] Fri, 12 Jun 2026 06:12:21 UTC (2,728 KB)
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