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[2602.17753] The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems
Summary
The 2025 AI Agent Index presents a comprehensive overview of 30 deployed agentic AI systems, detailing their technical and safety features, and highlighting transparency issues among developers.
Why It Matters
As AI systems become more integrated into various sectors, understanding their capabilities and safety features is crucial for researchers, policymakers, and the public. This index aims to clarify the current landscape of AI agents, promoting informed decision-making and accountability in AI development.
Key Takeaways
- The index documents 30 state-of-the-art AI agents, focusing on their origins and design.
- There is a notable lack of transparency regarding safety and societal impacts from most developers.
- The index highlights broader trends in AI agent capabilities and developer transparency levels.
- Understanding these features is essential for researchers and policymakers in navigating the AI landscape.
- The index serves as a resource for tracking the evolution of agentic AI systems.
Computer Science > Computers and Society arXiv:2602.17753 (cs) [Submitted on 19 Feb 2026] Title:The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems Authors:Leon Staufer, Kevin Feng, Kevin Wei, Luke Bailey, Yawen Duan, Mick Yang, A. Pinar Ozisik, Stephen Casper, Noam Kolt View a PDF of the paper titled The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems, by Leon Staufer and 8 other authors View PDF HTML (experimental) 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 most developers share little information about safety, evaluations, and soci...
