awesome-ai-agents vs awesome-ai-agents-2026

AI agent directories compared

Both projects are community-maintained directories for discovering AI agent tools and related resources, not software frameworks themselves. awesome-ai-agents highlights safety, evaluation, and infrastructure categories, while awesome-ai-agents-2026 describes a broader directory spanning products, protocols, and models.

awesome-ai-agentsawesome-ai-agents-2026
Languagenot specifiednot specified
LicenseCC0-1.0NOASSERTION
Stars601.9k
Forks73681
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • awesome-ai-agents groups resources across frameworks, infrastructure, evaluation, safety, research, and education; awesome-ai-agents-2026 covers more than 20 categories, including agent products, protocols, models, and learning materials.
  • awesome-ai-agents specifically separates frameworks for multi-agent orchestration, coding, personal, browser, and research agents; awesome-ai-agents-2026 describes categories including coding, orchestration, browser automation, self-hosting, and workflow automation.
  • awesome-ai-agents links to projects, papers, courses, and community resources; awesome-ai-agents-2026 also provides brief descriptions and, in some sections, language or pricing information.
  • awesome-ai-agents is listed as CC0-1.0 licensed; awesome-ai-agents-2026 is listed with a NOASSERTION license.
  • awesome-ai-agents has 60 stars and 73 forks; awesome-ai-agents-2026 has 1.9k stars and 681 forks.
  • awesome-ai-agents accepts suggestions through an issue template or pull request; awesome-ai-agents-2026 accepts contributions through pull requests and says it is updated monthly.

Choose awesome-ai-agents if you…

  • need to explore agent safety, evaluation, and governance resources alongside tools.
  • want framework listings separated by use, such as coding, browser, or multi-agent orchestration.
  • prefer a CC0-licensed directory for ecosystem discovery.
Read the awesome-ai-agents analysis →

Choose awesome-ai-agents-2026 if you…

  • want a broad directory spanning agent products, protocols, models, and developer tools.
  • need brief resource descriptions and occasional language or pricing details while shortlisting options.
  • are looking for self-hosted AI resources or categories such as support and workflow automation.
Read the awesome-ai-agents-2026 analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.