awesome-agent-almanac vs awesome-a2a

AI agent directories compared

awesome-agent-almanac catalogs agents, frameworks, MCP servers, and related projects across many domains. awesome-a2a focuses on projects for Google’s Agent2Agent protocol, including servers, frameworks, clients, and utilities.

awesome-agent-almanacawesome-a2a
License—MIT
Stars3190
Forks498
Last analyzedOct 3, 2026Oct 20, 2026

Key differences

  • awesome-agent-almanac spans agent projects across areas such as coding, research, creative work, and infrastructure; awesome-a2a organizes entries around A2A capabilities and implementations.
  • awesome-agent-almanac includes a dedicated MCP Servers category; awesome-a2a emphasizes A2A samples, frameworks, SDKs, and communication utilities.
  • awesome-agent-almanac is presented as a community-curated discovery list; awesome-a2a also describes contribution guidelines and links to tutorials and A2A community resources.
  • awesome-agent-almanac has 3 stars and 4 forks in the supplied metadata; awesome-a2a has 188 stars and 72 forks.
  • awesome-a2a lists an MIT license; awesome-agent-almanac is described as having no license value in the supplied repository metadata.

Choose awesome-agent-almanac if you…

  • want to browse agent tools across a range of domains, including coding, research, and creative work.
  • need a categorized starting point for finding MCP servers alongside agents and frameworks.
  • are surveying agent benchmarks, environments, or multi-agent research resources.
Read the awesome-agent-almanac analysis →

Choose awesome-a2a if you…

  • are building with Google’s Agent2Agent protocol and want to explore its servers, frameworks, clients, and utilities.
  • want to compare A2A implementations by capability or inspect official sample projects.
  • are learning A2A and want links to tutorials and broader community resources.
Read the awesome-a2a analysis →

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