GitHub Star Snapshot ·

Open-Source AI Agents Ranked by GitHub Stars

Explore a curated selection of open-source agents and frameworks, ordered by recorded GitHub stars. Compare categories and current project documentation; popularity alone does not establish quality or suitability for your task.

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How We Rank AI Agents

The default order and top-three cards use the same stored GitHub star counts. The snapshot date is shown above; counts are not fetched live when you open the page. A scheduled refresh can retain earlier values when a repository request fails.

This is a curated selection, not a census of all agent projects. A star is a signal of repository interest, not an active-user count, benchmark result, security review or endorsement. An agent framework and an end-user assistant solve different problems, so use the category filter before comparing them.

Before choosing a project, check its current documentation, maintenance activity, supported environment and permission requirements. Test a small task that resembles your actual workflow. Directory inclusion does not establish that a project is currently maintained or that we have tested it.

The landscape splits into seven categories:

For projects that support the Model Context Protocol, browse our MCP servers directory for possible integrations. The AI coding skills directory lists reusable workflows and collections; compatibility varies by client and package.

Frequently Asked Questions

What is an AI agent?
An AI agent is software that uses a large language model to plan and execute multi-step tasks autonomously — calling tools, browsing the web, writing code, or controlling your computer — rather than just answering a single prompt.
Which agent leads this directory?
The number-one card in the default Stars view has the highest recorded GitHub star count in this directory’s dated snapshot. The three cards above the filters use that same order. This is a curated selection, not an exhaustive ranking of every repository on GitHub.
What's the difference between an agent and an agent framework?
An agent is a finished product you run (like OpenClaw or Aider). A framework (like LangGraph, CrewAI, or AutoGen) is a library you build your own agents with. This page ranks both, in separate categories.
Which coding agent should I try first?
Start with your workflow rather than the highest star count. Compare terminal or IDE support, model requirements, repository permissions, cost and current documentation. Try a small reversible task before adopting a tool for larger changes.
How often are these rankings updated?
An automated job attempts a daily GitHub API refresh. The snapshot date at the top identifies the stored dataset, not a live request or a functional review of every project. Counts can lag GitHub, and an unavailable API response may leave an older count in place.