Agent Academy is a free, source-linked library of skills, prompts, MCP servers and bot templates, organised into courses by profession, for people who hand real work to AI agents: 1,467 live resources, each with its original link, license and safety tags.
Awesome list
Original text · EnglishCurated collection of AI agent use cases across industries (incl. Customer Service, E-commerce) with links to open-source implementations, e.g. a LangGraph customer-support agent tutorial.
https://github.com/ashishpatel26/500-AI-Agents-Projects
Republished in full under its license, with attribution. The source is authoritative.
The most comprehensive collection of AI agent projects, use cases, and working implementations.
[🚀 Quick Start](#-quick-start) • [🗺️ Browse Agents](#-browse-by-framework) • [🏭 By Industry](#-industry-use-cases) • [🤝 Contribute](#-contributing) • [📊 Frameworks Compared](#-framework-comparison)
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:
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.
| I want to... | Go to |
|---|---|
| Run a working agent right now | [agents/](agents/) |
| Browse by AI framework | [Framework-wise Use Cases](#-browse-by-framework) |
| Browse by industry | [Industry Use Cases](#-industry-use-cases) |
| Understand which framework to use | [Framework Comparison](#-framework-comparison) |
| Add my own agent | [Contributing](CONTRIBUTION.md) |
| Learn with a course | [crewai_mcp_course/](crewai_mcp_course/) |
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:
| 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 | |
| Self-Driving Delivery Agent | Transportation | Optimizes routes and autonomously delivers packages | |
| Factory Process Monitoring Agent | Manufacturing | Monitors production lines and ensures quality control | |
| Property Pricing Agent | Real Estate | Analyzes market trends to determine property prices | |
| Smart Farming Assistant | Agriculture | Provides insights on crop health and yield predictions | |
| Energy Demand Forecasting Agent | Energy | Predicts energy usage to optimize grid management | |
| Content Personalization Agent | Entertainment | Recommends personalized media based on preferences | |
| Legal Document Review Assistant | Legal | Automates document review and highlights key clauses | |
| Recruitment Recommendation Agent | Human Resources | Suggests best-fit candidates for job openings | |
| Virtual Travel Assistant | Hospitality | Plans travel itineraries based on preferences | |
| AI Game Companion Agent | Gaming | Enhances player experience with real-time assistance | |
| Real-Time Threat Detection Agent | Cybersecurity | Identifies potential threats and mitigates attacks | |
| E-commerce Personal Shopper Agent | E-commerce | Helps customers find products they'll love | |
| Logistics Optimization Agent | Supply Chain | Plans efficient delivery routes and manages inventory | |
| Vibe Hacking Agent | Cybersecurity | Autonomous Multi-Agent Based Red Team Testing Service | |
| Agent Memory Guard | Cybersecurity | Detects and blocks memory poisoning attacks (OWASP ASI06) in AI agent memory stores | |
| Citadel | Software Development | Orchestrates Claude Code agent fleets with lifecycle hooks, skills, campaign management, and postmortem-driven architecture | |
| MediSuite-AI-Agent | Health Insurance | Automates hospital / insurance claiming workflow | |
| Lina Egyptian Medical Chatbot | Healthcare | Egyptian medical assistant chatbot | |
| NextRole (AI Career Assistant) | Human Resources | Tailors a resume to a job description and generates interview prep plus a day-of battlecard via a multi-agent system | |
| PII Sanitization Agent | Privacy/Compliance | Redacts PII (emails, phones, national IDs, bank accounts, API keys) from text before it reaches an LLM; fail-closed, multilingual, on-chain proof via TrustBoost |
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 | Recruitment | Matches candidate profiles to suitable job positions | |
| 📸 Instagram Post Generator | Social Media | Generates and schedules Instagram posts automatically | |
| 🌐 Landing Page Generator | Web Development | Automates creation of landing pages for websites | |
| 🎮 Game Builder Crew | Game Development | Assists in game development by automating aspects of creation | |
| 💹 Stock Analysis Tool | Finance | Provides tools for analyzing stock market data | |
| 🗺️ Trip Planner | Travel | Assists in planning trips with itineraries | |
| 🎁 Surprise Trip Planner | Travel | Plans surprise trips based on user preferences | |
| 📚 Write a Book with Flows | Creative Writing | Assists authors with structured writing workflows | |
| 🎬 Screenplay Writer | Creative Writing | Aids in writing screenplays with templates and guidance | |
| ✅ Markdown Validator | Documentation | Validates Markdown files for proper formatting | |
| 🧠 Meta Quest Knowledge | Knowledge Management | Manages Meta Quest knowledge for information retrieval | |
| 🤖 NVIDIA Models Integration | AI Integration | Integrates NVIDIA AI models into workflows | |
| 🗂️ Prep for a Meeting | Productivity | Prepares meeting materials and sets agendas | |
| 🛠️ Starter Template | Development | Starter template for new CrewAI projects | |
| 🔗 CrewAI + LangGraph Integration | AI Integration | Integration between CrewAI and LangGraph |
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 |
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 | |
| 🍳 Recipe Creator | Food & Culinary | Personalized recipes based on ingredients and preferences | |
| 🧠 Financial Reasoning Agent | Finance | Claude 3.5 Sonnet-based stock analysis with Yahoo Finance data | |
| 🤖 Readme Generator Agent | Software Dev | Generates high-quality READMEs for GitHub repos | |
| 🎬 Movie Recommendation Agent | Entertainment | Personalized movie recommendations using Exa and GPT-4o | |
| 🔍 Media Trend Analysis Agent | Media & News | Analyzes emerging trends and influencers from digital platforms | |
| ⚖️ Legal Document Analysis Agent | Legal Tech | Analyzes legal PDFs and provides insights using vector embeddings | |
| 🤔 DeepKnowledge | Research | Iterative search through knowledge base with deep reasoning | |
| 📚 Book Recommendation Agent | Publishing & Media | Personalized book suggestions using literary data and reader preferences | |
| 🏠 MCP Airbnb Agent | Hospitality | Search Airbnb listings with MCP and Llama 4 | |
| 🤖 Agno Assist Agent | AI Framework | GPT-4o agent for Agno framework Q&A with hybrid search |
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 | |
| 🧠 Hierarchical Agent Teams | Workflow Orchestration | Top-level supervisor delegates to specialized sub-agents | |
| 🤝 Multi-Agent Collaboration | Workflow Orchestration | Multiple specialized agents working together on complex tasks | |
| 🧠 Plan-and-Execute Agent | Workflow Orchestration | Agent generates multi-step plan then executes sequentially | |
| 🧠 SQL Agent | Database Interaction | Agent answers questions about SQL databases | |
| 🧠 Reflection Agent | Workflow Orchestration | Agent critiques and revises its own outputs | |
| 🧠 Reflexion Agent | Workflow Orchestration | Agent reflects on actions for iterative improvement | |
| 🧠 Adaptive RAG | Information Retrieval | Dynamic retrieval adjusting based on query complexity | |
| 🤖 Agentic RAG | Intelligent Agents | Agent determines best retrieval strategy before generating response | |
| 🧠 Corrective RAG (CRAG) | Information Retrieval | Evaluates and refines retrieved documents before generation | |
| 🧠 Self-RAG | Information Retrieval | System reflects on responses and retrieves additional info if needed | |
| 🧠 Adaptive RAG (Local) | Information Retrieval | Adaptive RAG with local models for offline use | |
| 🧠 Self-RAG (Local) | Information Retrieval | Self-RAG using local models and data sources |
Contributions are welcome! 🎉 This repo grows through community contributions.
Ways to contribute:
agents/ with runnable codeTo contribute:
feat/agent-name or fix/descriptionSee [CONTRIBUTION.md](CONTRIBUTION.md) for full requirements (metadata.yaml, requirements.txt, etc.).
Regenerated weekly from the GitHub API by [.github/workflows/star-history.yml](.github/workflows/star-history.yml). Click the chart for the interactive version.
This repository is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.
⭐ Star this repo if you find it useful — it helps others discover it!
Report Issue • Request Agent • [Contribute](CONTRIBUTION.md)
A structured output agent demonstrating Pydantic schema-based responses for customer support ticket creation.
Sourcegithub.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_framework_crash_course/openai_sdk_crash_course/2_structured_output_agent/2_1_support_ticket_agent
A tutorial demonstrating how to implement a structured customer support ticketing system using Google's ADK (Agent Development Kit) framework. This example shows how to create type-safe, structured support tickets with priority levels, categories, and resolution estimates using Pydantic schemas and
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This Streamlit app implements an AI-powered customer support agent for synthetic data generated using GPT-4o. The agent uses OpenAI's GPT-4o model and maintains a memory of past interactions using the Mem0 library with Qdrant as the vector store.
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Creating a Customer Service Agent with Client-Side Tools In this recipe, we'll demonstrate how to create a customer service chatbot using Claude 3 plus client-side tools. The chatbot will be able to look up customer information, retrieve order details, and cancel orders on behalf of the customer. We
Sourcegithub.com/anthropics/claude-cookbooks/blob/main/tool_use/customer_service_agent.ipynb
A customer support plugin primarily designed for [Cowork](https://claude.com/product/cowork), Anthropic's agentic desktop application — though it also works in Claude Code. Provides ticket triage, escalation management, response drafting, customer research, and knowledge base authoring for support t
Sourcegithub.com/anthropics/knowledge-work-plugins/tree/main/customer-support