Featured
The default model for most agent workflows in 2026.
Featured
The model to reach for when the job involves images, video, audio, or very long documents.
Featured
When you need token latency measured in milliseconds, not hundreds of milliseconds, Groq is it.
Featured
Still the default for a lot of production agents.
Featured
Useful when an agent needs to swap models without rewiring its caller.
Featured
The default when you want to run a specific open model in production without standing up your own GPU fleet.
View toolLLM Inference

The Agent Index

Infrastructure for AI agents. Tools an agent reaches for mid-workflow to do its job. Verified by the builders who use them every day.


  • CueAPI

    Scheduling and execution accountability API for AI agents with verified outcomes and retries.

    Scheduling and OrchestrationREST API
  • Hatchet

    Durable execution engine that runs workflows as code, with native step retries, fan-out/fan-in, and a typed step API. Self-host in Docker or run as Hatchet Cloud.

    Scheduling and OrchestrationSDK
  • Inngest

    Durable execution platform for background jobs, AI workflows, and long-running agent steps.

    Scheduling and OrchestrationSDK
  • Trigger.dev

    Background job platform with built-in AI task support, concurrency controls, and wait-until-event primitives.

    Scheduling and OrchestrationSDK

The Agent Index is open source. The canonical list lives on GitHub, and every entry on this page is generated from that repo at build time. Contributions are welcome as pull requests. Read the rules before submitting; the bar is sharp, but the review is fast.

Tools are added after they show up in production agent workflows or get strong signal from builders with real usage. Inclusion is the editorial judgment. There is no ranking within categories. Every tool listed has earned its place against the same criterion: can an agent complete its full lifecycle through a fully programmatic path?