The AI Agent Index
On the map: LLM agents and tool use → Agent threats, guardrails and governance
Abstract (arXiv)
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/
Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 62 of its 101 references that are in the map. First posted on arXiv 3 Feb 2025.
Builds on
62 of 101 references.
Closest ancestors · 5
Same direction, newest first
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Other references · 57
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50 most cited of 57 All 57 (JSON)
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Citing papers per year: 2025: 10; 2026: 5.
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- 2025Characterizing AI Agents for Alignment and Governancecited by 30
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- 2026The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems19 Feb 2026
- 2025VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Traces17 Dec 2025
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- 2025Agentic AI for Mobile Network RAN Management and Optimization4 Nov 2025
- 2025Psychological and behavioural responses in human-agent vs. human-human interactions: a systematic review and meta-analysis25 Sep 2025
- 2025Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systems17 Aug 2025
- 2025The Problem of Algorithmic Collisions: Mitigating Unforeseen Risks in a Connected World26 May 2025
- 2025Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems25 May 2025
3 more
- 2025Build Agent Advocates, Not Platform Agents7 May 2025
- 2025Characterizing AI Agents for Alignment and Governance30 Apr 2025
- 2025TableTalk: Scaffolding Spreadsheet Development with a Language Agent13 Feb 2025
- 2026The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systemscited by 30
- 2025Build Agent Advocates, Not Platform Agentscited by 8
- 2025Position: Collaborative Agentic AI Needs Interoperability Across Ecosystemscited by 8
- 2025TableTalk: Scaffolding Spreadsheet Development with a Language Agentcited by 5
- 2025VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Tracescited by 4
- 2026The Agentic Web Requires New Normative Infrastructurecited by 0
- 2026The Agentic Web Requires New Normative Infrastructure9 Jun 2026
- 2026The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems19 Feb 2026
- 2025VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Traces17 Dec 2025
- 2025Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems25 May 2025
- 2025Build Agent Advocates, Not Platform Agents7 May 2025
- 2025TableTalk: Scaffolding Spreadsheet Development with a Language Agent13 Feb 2025
- 2025Characterizing AI Agents for Alignment and Governancecited by 30
- 2026How Well Does Agent Development Reflect Real-World Work?cited by 10
- 2025On the Regulatory Potential of User Interfaces for AI Agent Governancecited by 3
- 2026Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Modelscited by 3
- 2025The Problem of Algorithmic Collisions: Mitigating Unforeseen Risks in a Connected Worldcited by 2
- 2025Psychological and behavioural responses in human-agent vs. human-human interactions: a systematic review and meta-analysiscited by 2
- 2026ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperationcited by 1
- 2025Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systemscited by 0
- 2026Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models22 Apr 2026
- 2026ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation21 Apr 2026
- 2026How Well Does Agent Development Reflect Real-World Work?1 Mar 2026
- 2025On the Regulatory Potential of User Interfaces for AI Agent Governance30 Nov 2025
- 2025Psychological and behavioural responses in human-agent vs. human-human interactions: a systematic review and meta-analysis25 Sep 2025
- 2025Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systems17 Aug 2025
- 2025The Problem of Algorithmic Collisions: Mitigating Unforeseen Risks in a Connected World26 May 2025
- 2025Characterizing AI Agents for Alignment and Governance30 Apr 2025
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