To address this gap, researchers from various universities developed the AI Agent Index, the “first public database to document information about currently deployed AI agentic systems.” Thus, by documenting “technical, safety, and policy-relevant” information for AI agents, this research will help users understand the capabilities and risks of AI agents they may interact with while also helping auditors to decide “the scope and focus of their evaluations of agentic systems.” The authors note that the AI Agent Index is not meant to be “a comprehensive or exhaustive database of all agentic systems or related resources, such as language models and development frameworks for building agentic systems.”