Multi-agent Collaboration with State Management
The paper introduces STORM, a new approach for managing state in multi-agent systems to enhance collaboration. STORM aims to resolve conflicts in real-time as agents interact with a shared codebase, improving efficiency compared to traditional workspace isolation methods. The evaluation shows that STORM significantly outperforms existing systems in terms of performance and cost efficiency.
- ▪STORM manages agent states to ensure consistent views of the codebase.
- ▪Conflicting edits are detected and resolved at write time, rather than through post-hoc merging.
- ▪STORM outperforms the git-worktree-based baseline by +18.7 on Commit0-Lite and +1.4 on PaperBench.
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Computer Science > Multiagent Systems arXiv:2605.20563 (cs) [Submitted on 19 May 2026] Title:Multi-agent Collaboration with State Management Authors:Mengyang Liu, Taozhi Chen, Zhenhua Xu, Xue Jiang, Yihong Dong View a PDF of the paper titled Multi-agent Collaboration with State Management, by Mengyang Liu and 4 other authors View PDF HTML (experimental) Abstract:Recent advances in multi-agent systems have shown great potential for solving complex tasks. However, when multiple agents edit a shared codebase concurrently, their changes can silently conflict and inconsistent views lead to integration failures.
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