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codeztech-atique/500-AI-Agents-Projects

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, i

⭐ 3 stars
⑂ 0 forks
Python
momentum ▲ 30.0
created 2026-07-25
on radar since 2026-07-27
ai-agentai-agentsgenaimcpmcp-clientmcp-servermcp-serversmcp-tools
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About 500-AI-Agents-Projects

The most comprehensive collection of AI agent projects, use cases, and working implementations.

🚀 Quick Start • 🗺️ Browse Agents • 🏭 By Industry • 🤝 Contribute • 📊 Frameworks Compared

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

Pick a framework and run an agent in under 5 minutes:

All agents in agents/ are self-contained with their own requirements.txt and .env.example. No monorepo setup needed.

I want to... Go to ------ Run a working agent right now agents/ Browse by AI framework Framework-wise Use Cases Browse by industry Industry Use Cases Understand which framework to use Framework Comparison Add my own agent Contributing Learn with a course crewaimcpcourse/

Choosing a framework? Here's when to use each:

Framework Best For Complexity Multi-Agent Streaming Local LLM ------------------ LangGraph Stateful workflows, RAG pipelines, complex graphs ⭐⭐⭐ ✅ ✅ ✅ CrewAI Role-based teams, business automation, rapid prototyping ⭐⭐ ✅ ✅ ✅ AutoGen Code generation, research, self-healing workflows ⭐⭐⭐ ✅ ✅ ✅ Agno Lightweight single agents, tool integration, fast iteration ⭐ ✅ ✅ ✅ LlamaIndex Document Q&A, enterprise RAG, data pipelines ⭐⭐ ⚠️ ✅ ✅

From the project README.

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