TL;DR
The paper introduces the 2025 AI Agent Index, a comprehensive documentation of 30 advanced AI agents' origins, capabilities, safety features, and transparency levels, highlighting trends and gaps in the ecosystem.
Contribution
It provides the first detailed, publicly available index of state-of-the-art agentic AI systems, revealing transparency disparities and safety information gaps.
Findings
Most developers share limited safety and societal impact information.
Transparency varies significantly among different AI developers.
The Index reveals trends in capabilities and safety features of AI agents.
Abstract
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…
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