500-AI-Agents-Projects

A curated collection of agent use cases and working implementations, organized by framework and by industry, with every entry packaged to run on its own and links pointing at open source code you can read.

The collection claims over 500 AI agent projects, production examples, tutorials, and working code, spanning frameworks like LangGraph, CrewAI, AutoGen, and Agno, and industries including Healthcare, Finance, Education, and Cybersecurity. The README bills it as the most comprehensive such collection around. The repo is Python under MIT with a companion site at ashishpatel26.github.io, and it holds around 36,500 stars.

Four audiences, per the README: developers building their first or next agent, researchers surveying the agent project space, teams evaluating frameworks for production use, and students learning agent architectures from real examples. That is a wide net, but the organizing logic, use case plus framework plus industry, gives each of those readers a different and still sensible way in. The repository description also frames the collection around practical applications across sectors such as healthcare, finance, education, and retail.

Every agent in the directory is self contained, carrying its own requirements file and environment example, so there is no monorepo setup to wrestle before anything runs. Quick start links cover browsing agents, browsing by industry, contributing, and comparing frameworks. For a collection this size, per-entry isolation is the difference between skimming the list and actually trying something from it.

As a map of what people are actually building with agents, it is hard to beat for browsing. Treat each entry on its own merits, since curation alone says nothing about code quality.

• Source 1 · Project repository
• Source 2 · README