jim-schwoebel/awesome_ai_agents

The repository organizes 1,500+ resources across building blocks—frameworks (AutoGen, LangChain, CrewAI), LLM models, datasets, and benchmarks—enabling developers to understand the full stack for agent development. It structures discovery by use case (coding agents, customer service, video generation) and development phase (learning, building, deploying), with dedicated sections for security, testing, and ethics considerations. The collection emphasizes hands-on exploration through live agent demos, courses, and community contributions, positioning itself as a development-focused knowledge base rather than purely informational.

1,468 stars.