Our take
Activeregular commits- Activity
- 53
- Community
- 85
- Issues
- 46
- Pull requests
- 45
+15 stars in the last 30 days
- More contributors than 77% of the projects we track
- Merges more pull requests than 75% of the projects we track
- Slower to merge pull requests than 83% of the projects we track
This is a broad, actively updated discovery resource rather than a packaged agent product, with recent commits and substantial community participation but no releases or stated license.
Good fit if
- You want to explore LLM-agent projects across several categories from one catalog.
- You are comparing tools or looking for ideas and can evaluate each upstream project independently.
- You prefer a searchable website as well as a browsable GitHub README.
Look elsewhere if
- You need a single agent framework, a supported implementation, or a ready-to-run application rather than a directory.
- Your adoption policy requires a clearly stated license for the catalog itself.
- You need a tested, versioned release of this repository; it has no recorded releases and the supplied requirements data reports no tests.
All health signals
| Last commit | 2026-10-20 (3 days ago) |
|---|---|
| Commits, last 90 days | 100+ |
| Releases, last 12 months | 0 |
| Contributors | 100+ (top contributor: 38% of commits) |
| Issues closed, last 90 days | 1+ |
| Pull requests merged, last 90 days | 51 (typically merged in 3 days) |
| Project age | 2 years |
Checked on 2026-10-24 with the GitHub API.
Project history
Daily GitHub snapshots since Oct 7, 2026. History covers stars and forks; health signals are not tracked historically.
Stars
1,274Forks
652Change since Nov 12, 2026: 0 stars·+1 forks
Overview
Awesome-AI-Agents is a curated catalog of autonomous agents powered by large language models. It helps developers and researchers survey a fast-moving field, compare projects by purpose, and find starting points for tasks such as coding, research, browser automation, and multi-agent collaboration.
The repository groups entries into applications, frameworks, benchmarks and evaluators, platforms and APIs, and related reading. Its searchable website makes the collection easier to browse than the README alone.
Key Features
- Catalogs autonomous-agent projects alongside multi-agent systems and agent-society simulations.
- Separates applications, frameworks, benchmarks and evaluators, platforms and APIs, and related resources.
- Includes tools and components for agent memory, browser access, security, observability, and governance.
- Links entries to their upstream repositories or project sites for further evaluation.
- Offers a searchable web interface in addition to the GitHub README.
- Covers practical areas including software development, research, data analysis, and desktop or browser automation.
Use Cases
- A developer choosing an agent framework can scan the framework and application categories before committing to an implementation.
- A researcher surveying multi-agent collaboration or simulated agent societies can use the categorized project links to find relevant systems.
- A team building an agent can look for supporting components, such as memory, tool integrations, security controls, or evaluation resources.
- A practitioner exploring a new task, such as automated research or coding, can find candidate projects and follow their upstream documentation.
What you need
Detected in the repository
- JavaScript (main language on GitHub)
- Automated checks on GitHub Actions
Getting Started
Browse the searchable website or open the repository README to explore the categories and follow links to individual projects. The repository does not provide an installation command.
License in Plain Words
No standard license was detected. Without a license, the default copyright rules apply: you may read the code, but not reuse it. Check the repository or ask the authors.
Alternatives
- awesome-ai-agents: A similar community-curated directory of agent-building resources, with broader coverage of infrastructure, safety, papers, and learning materials.
- awesome-agentic-ai: A guide to agentic AI frameworks, tools, and papers that adds example projects and recommendations for choosing technologies.
- awesome-ai-agents-2026: A categorized directory that also covers protocols and models, rather than focusing primarily on autonomous-agent applications and tools.
| Project | Language | License | Stars | Status |
|---|---|---|---|---|
| Awesome-AI-Agents | JavaScript | – | 1.3k | Active |
| awesome-ai-agents | – | CC0-1.0 | 81 | Active |
| awesome-agentic-ai | Shell | MIT | 5 | Active |
| awesome-ai-agents-2026 | – | – | 2.1k | Quiet |
Considerations
The repository is actively maintained, with recent commits and many contributors, and contributor activity is not concentrated in one person. However, the supplied health data records no releases, only limited issue closures in the recent period, and no tests. The repository has no license specified in the provided metadata, so teams should clarify licensing before reusing its contents. Entries are a changing directory, not endorsements or guarantees of maintenance, security, compatibility, or support; assess each linked project separately.
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