盘点30个主流AI代理的技术与安全特性，揭示行业透明度短板
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems
- 基于公开资料和开发者访谈，系统梳理30个前沿AI代理的设计与能力
- 发现多数开发者对安全评估和社会影响披露不足，透明度普遍偏低
- 为研究者与政策制定者提供可追踪的代理发展全景图，适合关注AI治理者
具备高度自主性的智能体正越来越多地独立完成专业与个人任务，但其发展迅猛且记录不一，导致追踪困难。本文发布2025年AI代理指数，基于公开信息与开发者邮件沟通，系统记录了30个顶尖智能体的起源、设计、能力、生态及安全特性。该指数不仅呈现个体智能体信息，还揭示了智能体发展的整体趋势、能力演进以及开发者透明度差异。研究发现，开发者间透明度参差不齐，多数未公开安全机制、评估方法与社会影响数据。2025年AI代理指数已上线：https://aiagentindex.mit.edu
原文摘要 · Abstract (English)
Agentic AI systems are increasingly capable of performing professional and personal tasks with limited human involvement. However, tracking these developments is difficult because the AI agent ecosystem is complex, rapidly evolving, and inconsistently documented, posing obstacles to both researchers and policymakers. To address these challenges, this paper presents the 2025 AI Agent Index. The Index documents information regarding the origins, design, capabilities, ecosystem, and safety features of 30 state-of-the-art AI agents based on publicly available information and email correspondence with developers. In addition to documenting information about individual agents, the Index illuminates broader trends in the development of agents, their capabilities, and the level of transparency of developers. Notably, we find different transparency levels among agent developers and observe that most developers share little information about safety, evaluations, and societal impacts. The 2025 AI Agent Index is available online at https://aiagentindex.mit.edu
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