awesome-ai-agents: Browse Curated Agentic AI Resources
Summary
A curated directory of agentic AI projects, tools, and frameworks organized by category. Use it to explore the ecosystem, compare project listings, and find resources for a specific agent-building need.
At a glance
- Language
- Go
- License
- MIT
- Stars
- 2.3k
- Forks
- 578
- Added to OSRepos
- December 13, 2025
- Last analyzed
- October 3, 2026
Use at your own risk
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Overview
awesome-ai-agents is a curated directory for discovering projects and resources across the agentic AI ecosystem. Rather than presenting a single framework, it organizes individual repositories into categories such as agents, development frameworks, evaluation, observability, memory, and MCP servers.
It is useful when you want to survey available tools or find a project for a particular task. Listings link to their original repositories, and the README distinguishes project ownership from submitter and maintainer information where evidence is available.
Key Features
- Organizes agentic AI projects across a wide range of categories.
- Links listings to public repositories on GitHub, GitLab.com, or Codeberg.
- Includes project descriptions and category labels to support discovery.
- Shows star counts for listed projects where provided.
- Records submitter and maintainer provenance when supported by reviewed evidence.
- Provides a top-projects-by-stars section and describes planned star-growth windows.
- Accepts project submissions, with an optional curation skill linked from the README.
Use Cases
- Developers exploring agent frameworks can scan categories before choosing a tool to evaluate.
- Teams looking for agent evaluation, observability, memory, or safety resources can browse focused sections.
- Researchers surveying the agentic AI ecosystem can use repository links and descriptions as a starting point.
- Project authors can review the submission guidance when they want their public repository considered for inclusion.
Project Facts
- Language: Go
- License: MIT
- Stars: 2.3k
- Forks: 578
- Topics: agent, agentic, agents
- Archived: No
Getting Started
Open the README and browse by category. The README contains the project listings and submission links; no installation command is specified.
Alternatives
- awesome-agentic-ai: It emphasizes learning roadmaps and real-world examples, while awesome-ai-agents organizes agent projects, tools, and frameworks by category.
- Awesome Agent Almanac: It focuses on agents, MCP servers, and agentic technology, while awesome-ai-agents offers a category-based directory of agent projects, tools, and frameworks.
- Best of Agent Harnesses: It ranks agent harnesses and orchestration frameworks, while awesome-ai-agents covers a broader range of agent projects and tools.
Considerations
- This is a discovery list, not an agent framework or a guarantee that listed projects are maintained or suitable for production.
- The README says maintainer roles may be unverified, and repository ownership does not imply maintainership.
- Listings require a qualifying public repository, but the README does not require a specific license for listed projects.
- Star-growth rankings are not yet available while daily snapshot history is being collected.
Source repository
Open the original repository on GitHub.
19 counted GitHub visits
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