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STORM system improves multi-agent code collaboration with state management

Researchers have introduced STORM, a novel state-oriented management system designed to enhance collaboration among multiple AI agents working on shared codebases. Unlike existing methods that rely on workspace isolation and defer conflict resolution, STORM actively mediates agent interactions to ensure consistent views and detect conflicts at the point of edit. Evaluations on benchmarks like Commit0 and PaperBench show STORM significantly outperforms baseline approaches and achieves high scores across various LLMs. AI

影响 Enhances multi-agent system efficiency in code development, potentially streamlining collaborative AI workflows.

排序理由 The cluster contains an academic paper detailing a new system for multi-agent collaboration.

在 arXiv cs.CL 阅读 →

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STORM system improves multi-agent code collaboration with state management

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Mengyang Liu, Taozhi Chen, Zhenhua Xu, Xue Jiang, Yihong Dong ·

    Multi-agent Collaboration with State Management

    arXiv:2605.20563v1 Announce Type: cross 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 int…

  2. arXiv cs.CL TIER_1 English(EN) · Yihong Dong ·

    Multi-agent Collaboration with State Management

    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. Existing multi-agent systems ad…