多Agent系统生产环境失败的核心是编排层，揭示了常见陷阱与可落地解决方法，而非大模型本身。
Most multi-agent demos look impressive on stage. Then they hit production and fall apart. Here's the pattern: agents that "worked" in a Jupyter notebo…
多智能体大模型系统自动审核教科书，AI赋能教育内容质量把控新范式
arXiv:2607.11276v1 Announce Type: cross Abstract: Ensuring the quality of educational materials requires more than standard proofreading: textbooks mu…
多智能体AI协调框架，支持自托管，让你完全掌控数据与协作过程。
Comments URL: https://news.ycombinator.com/item?id=48586547 Points: 1 # Comments: 0
本地运行、基于.NET的多智能体LLM管道，用紧凑线格式实现AI心理治疗师，开源可自部署。
Article URL: https://github.com/paulomac1000/hand-codechttps://github.com/paulomac1000/hybrid-therapist-ai Comments URL: https://news.ycombinator.com/…
多智能体红队协作平台开源项目，架构清晰，支持异步调度与实时通知，安全团队必备工具。
Article URL: https://github.com/yv1ing/Z3r0 Comments URL: https://news.ycombinator.com/item?id=48455077 Points: 2 # Comments: 0
多智能体LLM协作实现REST API蜕变测试，创新技术获国际会议收录，自动化测试新思路。
arXiv:2605.28321v1 Announce Type: cross Abstract: As REST APIs become an increasingly significant part of software systems, their validation is becomi…
别等跑完实验才后悔选错通信拓扑——这篇工作用后继表示谱量（谱半径、谱隙、条件数）提前诊断链、星、网格等拓扑的漂移、共识和鲁棒性，且条件数完美排序扰动鲁棒性（rs=1.0），把多智能体LLM系统设计从试错变成数学可预测。
arXiv:2605.11453v2 Announce Type: replace-cross Abstract: Practitioners deploying multi-agent large language model (LLM) systems must currently choose…
多智能体协调+闭环反馈，让大模型从“纸上谈兵”走向真正能扛事的机器人操作，零样本表现比开环方案靠谱一大截。
arXiv:2602.16898v5 Announce Type: replace-cross Abstract: Task planning for robotic manipulation with large language models (LLMs) is an emerging area…