📄 中文摘要
多智能体系统（MAS）的研究论文数量在2024年激增至820篇，2025年超过2500篇，这一增长表明MAS已成为全球顶尖研究实验室和大学的主要研究方向。然而，研究与实际应用之间存在脱节，尽管研究蓬勃发展，这些系统在投入生产时仍频繁出现失败。许多团队在将MAS应用于实际场景时面临挑战，导致其潜力未能得到充分发挥。有效的多智能体架构设计成为解决这一问题的关键，亟需研究者和开发者共同探索更为可靠的实施方案。
设计有效的多智能体架构
出处: Designing Effective Multi-Agent Architectures
发布: 2026年2月11日
📄 English Summary
Designing Effective Multi-Agent Architectures
The number of research papers on multi-agent systems (MAS) surged from 820 in 2024 to over 2,500 in 2025, indicating that MAS has become a primary focus for leading research labs and universities worldwide. However, a disconnect exists; despite the booming research, these systems often fail when deployed in production. Many teams encounter challenges when applying MAS in real-world scenarios, resulting in their potential being underutilized. Designing effective multi-agent architectures is crucial to addressing this issue, necessitating collaboration between researchers and developers to explore more reliable implementation strategies.