What problem it solves

Developers, researchers, teams, and students need practical examples to understand and evaluate AI agent architectures. The collection organizes production examples, tutorials, and working code by framework and industry to support implementation and learning.

Key features

• Runnable agent examples — Each project under agents/ is presented as a self-contained implementation with its own dependencies and environment example.

  Source: README, agents

• Framework-based navigation — Projects can be browsed according to the agent framework used, including LangGraph, CrewAI, AutoGen, Agno, and LlamaIndex.

  Source: README

• Industry use-case coverage — The collection covers practical agent use cases across healthcare, finance, education, customer service, retail, transportation, manufacturing, and other sectors.

  Source: README

• Practical implementation links — Industry entries link to external open-source repositories that contain the associated implementation or working code.

  Source: README

• Learning and contribution paths — The repository provides a course directory and contribution guidance alongside the project collection.

  Source: crewai_mcp_course, CONTRIBUTION.md, README

Quick start

Copied verbatim from the project's README.

# 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

Who it may suit

This collection may suit developers seeking a runnable starting point, researchers surveying agent patterns, teams evaluating implementation options, and students learning from practical examples.

Topics to discuss

• Which agent architectures and industry applications should receive more complete runnable examples?

• How can the framework and industry navigation be improved for contributors and newcomers?

• What contribution guidelines would help keep examples consistent, documented, and easy to run?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/ashishpatel26/500-AI-Agents-Projects#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.