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What is this?
A curated collection of 500+ AI agent projects spanning every major framework (LangGraph, CrewAI, AutoGen, Agno) and industries like healthcare, finance, education, and cybersecurity, with links to working implementations.
A curated collection of 500+ AI agent projects spanning every major framework (LangGraph, CrewAI, AutoGen, Agno) and industries like healthcare, finance, education, and cybersecurity, with links to working implementations.Is this a working codebase or just a curated list of links?It is a navigable index organized by industry and by framework, but the entries under agents/ are self-contained, runnable projects rather than plain descriptions.
It is a navigable index organized by industry and by framework, but the entries under agents/ are self-contained, runnable projects rather than plain descriptions.How do I run one of the agent examples?Pick a use case from the Industry or Framework tables, open the matching folder under agents/, and run it directly — each agent ships its own requirements.txt and .env.example so no repo-wide setup is required.
Pick a use case from the Industry or Framework tables, open the matching folder under agents/, and run it directly — each agent ships its own requirements.txt and .env.example so no repo-wide setup is required.Which AI agent frameworks does it cover?The collection spans LangGraph, CrewAI, AutoGen, Agno, and LlamaIndex, with a comparison table rating each on complexity, multi-agent support, streaming, and local LLM compatibility.
The collection spans LangGraph, CrewAI, AutoGen, Agno, and LlamaIndex, with a comparison table rating each on complexity, multi-agent support, streaming, and local LLM compatibility.Are all 500+ entries fully working code in this repo?Not all of them — many industry use-case rows point out to external open-source projects for implementation rather than bundling full code here, so depth of each entry varies.
Not all of them — many industry use-case rows point out to external open-source projects for implementation rather than bundling full code here, so depth of each entry varies.Who is this collection meant for?It targets developers building their first agent, researchers surveying the landscape, teams evaluating frameworks for production, and students studying real agent architectures.
It targets developers building their first agent, researchers surveying the landscape, teams evaluating frameworks for production, and students studying real agent architectures.Which framework should I start with if I am new to agents?The README's decision guide recommends Agno or CrewAI for getting started, LangGraph for stateful graphs with RAG, AutoGen for code-writing or research agents, and LlamaIndex for enterprise document pipelines.
The README's decision guide recommends Agno or CrewAI for getting started, LangGraph for stateful graphs with RAG, AutoGen for code-writing or research agents, and LlamaIndex for enterprise document pipelines.Is there a structured course included?Yes, there is a crewaimcpcourse/ directory linked from the Navigation Guide for learning agent development step by step.
Yes, there is a crewaimcpcourse/ directory linked from the Navigation Guide for learning agent development step by step.Can I add my own agent project to the list?Yes, the Navigation Guide links to a Contributing section specifically for adding your own agent to the collection.
Yes, the Navigation Guide links to a Contributing section specifically for adding your own agent to the collection.What are similar projects?GenAI_Agents, Agent-Learning-Hub, awesome-llm-apps, awesome-ai-agent-platforms, production-agentic-rag-course, EvoQuant, awesome-claude-code, ai-agents-the-definitive-guide
GenAI_Agents, Agent-Learning-Hub, awesome-llm-apps, awesome-ai-agent-platforms, production-agentic-rag-course, EvoQuant, awesome-claude-code, ai-agents-the-definitive-guideWhich topics is it in?genai, langgraph, multi-agent-systems, autonomous-agents, coding-agents, finance, agent-orchestration, cybersecurity, rag, multi-agent, agents, awesome-list
genai, langgraph, multi-agent-systems, autonomous-agents, coding-agents, finance, agent-orchestration, cybersecurity, rag, multi-agent, agents, awesome-list