A curated collection of 500+ AI agent projects — production examples, tutorials, and working code spanning every major framework (LangGraph, CrewAI, AutoGen, Agno) and industry (Healthcare, Finance, Education, Cybersecurity, and more).
Who it’s for:
🧑💻 Developers building their first or next AI agent
🔬 Researchers surveying the agent landscape
🏢 Teams evaluating frameworks for production use
🎓 Students learning agent architectures from real examples
⚡ Quick Start
Pick a framework and run an agent in under 5 minutes:
# Clone the repo
git clone https://github.com/ashishpatel26/500-AI-Agents-Projects.git
cd 500-AI-Agents-Projects
# Run any agent from the agents/ directory
cd agents/01-web-research-agent
pip install -r requirements.txt
cp .env.example .env # add your API key
python agent.py
All agents in agents/ are self-contained with their own requirements.txt and .env.example. No monorepo setup needed.
500+ AI Agent Projects & Use Cases
The most comprehensive collection of AI agent projects, use cases, and working implementations.
🚀 Quick Start • 🗺️ Browse Agents • 🏭 By Industry • 🤝 Contribute • 📊 Frameworks Compared
What is this?
A curated collection of 500+ AI agent projects — production examples, tutorials, and working code spanning every major framework (LangGraph, CrewAI, AutoGen, Agno) and industry (Healthcare, Finance, Education, Cybersecurity, and more).
Who it’s for:
⚡ Quick Start
Pick a framework and run an agent in under 5 minutes:
🗺️ Navigation Guide
agents/crewai_mcp_course/📊 Framework Comparison
Choosing a framework? Here’s when to use each:
Quick decision guide:
🏭 Industry Use Cases
🔧 Browse by Framework
CrewAI
Role-based multi-agent framework. Great for business automation.
AutoGen
Microsoft’s framework for code generation, execution, and multi-agent research.
Code Generation, Execution, and Debugging
Multi-Agent Collaboration
Sequential Multi-Agent Chats
Nested Chats
Tools
Multimodal Agents
Observability & Evaluation
Agno
Lightweight, fast agent framework. Best for single-agent tools and rapid prototyping.
LangGraph
State-machine framework for complex, stateful agent workflows and RAG pipelines.
🤝 Contributing
Contributions are welcome! 🎉 This repo grows through community contributions.
Ways to contribute:
agents/with runnable codeTo contribute:
feat/agent-nameorfix/descriptionSee CONTRIBUTION.md for full requirements (metadata.yaml, requirements.txt, etc.).
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📜 License
This repository is licensed under the MIT License. See the LICENSE file for more information.
⭐ Star this repo if you find it useful — it helps others discover it!
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