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arxiv 2502.01635 v1 pith:IB2L3BLN submitted 2025-02-03 cs.SE cs.AI

The AI Agent Index

Stephen Casper , Luke Bailey , Rosco Hunter , Carson Ezell , Emma Cabal\'e , Michael Gerovitch , Stewart Slocum , Kevin Wei
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Nikola Jurkovic Ariba Khan Phillip J.K. Christoffersen A. Pinar Ozisik Rakshit Trivedi Dylan Hadfield-Menell Noam Kolt
This is my paper
classification cs.SE cs.AI
keywords agenticindexinformationsystemsagentcurrentlydevelopersavailable
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Leading AI developers and startups are increasingly deploying agentic AI systems that can plan and execute complex tasks with limited human involvement. However, there is currently no structured framework for documenting the technical components, intended uses, and safety features of agentic systems. To fill this gap, we introduce the AI Agent Index, the first public database to document information about currently deployed agentic AI systems. For each system that meets the criteria for inclusion in the index, we document the system's components (e.g., base model, reasoning implementation, tool use), application domains (e.g., computer use, software engineering), and risk management practices (e.g., evaluation results, guardrails), based on publicly available information and correspondence with developers. We find that while developers generally provide ample information regarding the capabilities and applications of agentic systems, they currently provide limited information regarding safety and risk management practices. The AI Agent Index is available online at https://aiagentindex.mit.edu/

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Cited by 5 Pith papers

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    cs.CL 2026-05 unverdicted novelty 7.0

    DOLORES, an agent using a formal language for meta-reasoning to construct adaptive scaffolds on the fly, outperforms prior scaffolding methods by 24.8% on average across four hard benchmarks and multiple model sizes.

  2. ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation

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  3. The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems

    cs.CY 2026-02 accept novelty 6.0

    The 2025 AI Agent Index catalogs technical and safety details for 30 deployed AI agents and finds low developer transparency on safety, evaluations, and societal impacts.

  4. Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

    cs.AI 2025-07 unverdicted novelty 5.0

    Chain-of-thought monitorability provides a promising but fragile method for AI safety oversight that developers should actively preserve.

  5. The Agentic Web Requires New Normative Infrastructure

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