500+ AI Agent Projects & Use Cases

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:
- 🧑💻 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.
🗺️ Navigation Guide
📊 Framework Comparison
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 | ⭐⭐ | ⚠️ | ✅ | ✅ |
Quick decision guide:
- Just starting out → Agno or CrewAI
- Need stateful graphs + RAG → LangGraph
- Building code-writing / research agents → AutoGen
- Enterprise document pipelines → LlamaIndex
🏭 Industry Use Cases

| Use Case | Industry | Description | Code |
|---|
| HIA (Health Insights Agent) | Healthcare | Analyses medical reports and provides health insights |  |
| AI Health Assistant | Healthcare | Diagnoses and monitors diseases using patient data |  |
| Automated Trading Bot | Finance | Automates stock trading with real-time market analysis |  |
| Agent Wallet SDK | Finance | Non-custodial smart contract wallet SDK for AI agents with enforced spend limits |  |
| Virtual AI Tutor | Education | Provides personalized education tailored to users |  |
| 24/7 AI Chatbot | Customer Service | Handles customer queries around the clock |  |
| Product Recommendation Agent | Retail | Suggests products based on user preferences and history |  |
|
🔧 Browse by Framework
CrewAI
Role-based multi-agent framework. Great for business automation.
| Use Case | Industry | Description | GitHub |
|---|
| 📧 Email Auto Responder Flow | Communication | Automates email responses based on predefined criteria |  |
| 📝 Meeting Assistant Flow | Productivity | Organizes meetings, scheduling and agenda preparation |  |
| 🔄 Self Evaluation Loop Flow | Human Resources | Facilitates self-assessment for performance reviews |  |
| 📈 Lead Score Flow | Sales | Evaluates and scores potential leads to prioritize outreach |  |
| 📊 Marketing Strategy Generator | Marketing | Develops marketing strategies by analyzing market trends |  |
| 📝 Job Posting Generator | Recruitment | Creates job postings by analyzing job requirements |  |
| 🔄 Recruitment Workflow | Recruitment | Streamlines recruitment by automating hiring tasks |  |
| 🔍 Match Profile to Positions |
AutoGen
Microsoft's framework for code generation, execution, and multi-agent research.
Code Generation, Execution, and Debugging
| Use Case | Industry | Description | Notebook |
|---|
| 🤖 Automated Task Solving with Code Gen, Execution & Debugging | Software Development | Demonstrates automated task-solving by generating, executing, and debugging code |  |
| 🧑💻 Code Generation and Q&A with Retrieval Augmented Agents | Software Development | Generates code and answers questions using retrieval-augmented methods |  |
| 🧠 Code Generation and Q&A with Qdrant-based Retrieval | Software Development | Utilizes Qdrant for enhanced retrieval-augmented agent performance |  |
Multi-Agent Collaboration
| Use Case | Industry | Description | Notebook |
|---|
| 🤝 Group Chat (3 members, 1 manager) | Collaboration | Demonstrates group task-solving via multi-agent collaboration |  |
| 📊 Data Visualization by Group Chat | Data Analysis | Uses multi-agent collaboration to create data visualizations |  |
| 🧩 Complex Task Solving by Group Chat (6 members) | Collaboration | Solves complex tasks collaboratively with a larger group |  |
| 🧑💻 Task Solving with Coding & Planning Agents | Planning & Dev | Combines coding and planning agents for solving tasks |  |
| 📐 Task Solving with Graph Transition Paths | Collaboration | Uses predefined transition paths in a graph for solving tasks |  |
| 🧠 SocietyOfMindAgent Inner-Monologue | Cognitive Sciences | Simulates inner-monologue for problem-solving using group chats |  |
| 🔧 Group Chat with Custom Speaker Selection | Collaboration | Implements a custom function for speaker selection | |
Sequential Multi-Agent Chats
| Use Case | Industry | Description | Notebook |
|---|
| 🔄 Sequential Task-Solving (single initiating agent) | Workflow Automation | Automates sequential task-solving with a single initiating agent |  |
| ⏳ Async Sequential Task-Solving | Workflow Automation | Handles asynchronous task-solving in a sequence of chats |  |
| 🤝 Sequential Chats with Different Initiating Agents | Workflow Automation | Sequential task-solving with different agents initiating each chat |  |
Nested Chats
| Use Case | Industry | Description | Notebook |
|---|
| 🧠 Solving Complex Tasks with Nested Chats | Problem Solving | Uses nested chats to solve hierarchical and complex problems |  |
| 🔄 Sequence of Nested Chats | Problem Solving | Demonstrates sequential task-solving using nested chats |  |
| 🏭 OptiGuide Supply Chain with Nested Chats | Supply Chain | Solves supply chain optimization using nested chats |  |
| ♟️ Conversational Chess with Nested Chats | Gaming | Uses nested chats for playing conversational chess with tools |  |
Tools
| Use Case | Industry | Description | Notebook |
|---|
| 🌐 Web Search: Solve Tasks Requiring Web Info | Information Retrieval | Searches the web to gather information for completing tasks |  |
| 🔧 Use Provided Tools as Functions | Tool Integration | Demonstrates how to use pre-provided tools as callable functions |  |
| 📚 RAG Group Chat | Collaboration | Enables group chat with Retrieval Augmented Generation |  |
| 🔊 Agent Chat with Whisper | Audio Processing | AI agent for transcription and translation using Whisper |  |
| 📊 SQL: Natural Language to SQL Query | Database Management | Converts natural language inputs into SQL queries |  |
Multimodal Agents
| Use Case | Industry | Description | Notebook |
|---|
| 🎨 Multimodal Agent with DALLE and GPT-4V | Multimedia AI | Combines DALLE and GPT-4V for multimodal agent communication |  |
| 🖌️ Multimodal Agent with Llava | Image Processing | Uses Llava for multimodal agent conversations |  |
| 🖼️ Multimodal Agent with GPT-4V | Multimedia AI | Leverages GPT-4V for visual and conversational interactions |  |
Observability & Evaluation
| Use Case | Industry | Description | Notebook |
|---|
| 📊 AgentEval: Multi-Agent Assessment System | Performance Evaluation | Evaluating LLM-based application utility |  |
| 📊 Track LLM Calls and Errors using AgentOps | Monitoring & Analytics | Monitors LLM interactions, tool usage, and errors |  |
| 🏗️ Auto Build Multi-agent System with AgentBuilder | AI Development | Automatically builds multi-agent systems |  |
Agno
Lightweight, fast agent framework. Best for single-agent tools and rapid prototyping.
| Use Case | Industry | Description | Code |
|---|
| 🤖 Support Agent | AI Framework Support | Real-time answers, explanations, and code examples for Agno framework |  |
| 🎥 YouTube Agent | Media & Content | Analyzes YouTube videos: summaries, timestamps, themes |  |
| 📊 Finance Agent (Thinking) | Finance | Real-time stock insights, analyst recommendations, financial deep-dives |  |
| 📚 Study Partner | Education | Finds resources, answers questions, creates study plans |  |
| 🛍️ Shopping Partner Agent | E-commerce | Product recommender based on preferences from Amazon, Flipkart |  |
| 🎓 Research Scholar Agent | Education / Research | Advanced academic searches, publication analysis, structured reports |  |
| 🧠 Research Agent | Media & Journalism | Deep investigations, NYT-style reports | |
LangGraph
State-machine framework for complex, stateful agent workflows and RAG pipelines.
| Use Case | Industry | Description | Code |
|---|
| 🤖 Chatbot Simulation Evaluation | AI / QA | Simulate user interactions to evaluate chatbot performance |  |
| 🧠 Information Gathering via Prompting | Research | LangGraph workflow using prompting to gather information |  |
| 🧠 Code Assistant with LangGraph | Software Development | Resilient code assistant with error checking and iterative refinement |  |
| 🧑💼 Customer Support Agent | Customer Support | Graph-based agent for handling customer inquiries |  |
| 🔁 Extraction with Retries | Data Extraction | Retry mechanisms for robust data extraction |  |
| 🧠 Multi-Agent Workflow (Supervisor) | Workflow Orchestration | Supervisor agent orchestrating multiple specialized agents |  |
🤝 Contributing
Contributions are welcome! 🎉 This repo grows through community contributions.
Ways to contribute:
- Add a working agent — create a folder in
agents/ with runnable code
- Add an external link — add a row to the industry or framework tables
- Fix a broken link — open an issue or PR
- Improve documentation — fix typos, add context, improve examples
To contribute:
- Fork the repository
- Create a branch:
feat/agent-name or fix/description
- Add your changes following the Contributing Guidelines
- Open a PR using the PR template
See CONTRIBUTION.md for full requirements (metadata.yaml, requirements.txt, etc.).
Star History

Regenerated weekly from the GitHub API by .github/workflows/star-history.yml. Click the chart for the interactive version.
📜 License
This repository is licensed under the MIT License. See the LICENSE file for more information.