Welcome to the official collection of complete CrewAI applications. This repository contains end-to-end implementations that showcase how to build real-world applications using CrewAI's framework for orchestrating AI agents.

🍳 Looking for feature-specific tutorials? Check out CrewAI Cookbook for focused guides on specific CrewAI features and patterns.

These are full applications that demonstrate:

• Complete project structures and organization
• Real-world integration patterns (APIs, databases, external services)
• Comprehensive code implementations with error handling
• End-to-end workflows from input to output
• Industry-specific implementations across various domains

Each example is a standalone application you can run, modify, and deploy.

Note: All examples use CrewAI version 0.152.0 and UV package management for optimal performance and developer experience.

Advanced orchestration examples using CrewAI Flows for complex workflows with state management.

• Content Creator Flow - Multi-crew content generation system for blogs, LinkedIn posts, and research reports
• Email Auto Responder Flow - Automated email monitoring and response generation
• Lead Score Flow - Lead qualification with human-in-the-loop review
• Meeting Assistant Flow - Meeting notes processing with Trello/Slack integration
• Self Evaluation Loop Flow - Iterative content improvement with self-review
• Write a Book with Flows - Automated book writing with parallel chapter generation

Traditional CrewAI implementations showcasing multi-agent collaboration.

• Game Builder Crew - Multi-agent team that designs and builds Python games
• Instagram Post - Creative social media content generation
• Landing Page Generator - Full landing page creation from concepts
• Marketing Strategy - Comprehensive marketing campaign development
• Screenplay Writer - Convert text/emails into screenplay format

• Job Posting - Automated job description creation
• Prep for a Meeting - Meeting preparation research and strategy
• Recruitment - Automated candidate sourcing and evaluation
• Stock Analysis - Financial analysis with SEC data integration

• Industry Agents - Industry-specific agent implementations
• Match Profile to Positions - CV-to-job matching with vector search
• Meta Quest Knowledge - PDF-based Q&A system
• Markdown Validator - Automated markdown validation and correction

• Surprise Trip - Personalized surprise travel planning
• Trip Planner - Destination comparison and itinerary optimization

• Starter Template - Basic template for new CrewAI projects

Examples showing CrewAI integration with other platforms and services.

• CrewAI-LangGraph - Integration with LangGraph framework
• Azure Model - Using CrewAI with Azure OpenAI
• NVIDIA Models - Integration with NVIDIA's AI ecosystem

Jupyter notebook examples for interactive exploration and learning.

1. Clone the repository

   git clone https://github.com/crewAIInc/crewAI-examples.git
   cd crewAI-examples

2. Choose an example category

   • For multi-crew orchestration → check /flows
   • For standard crews → check /crews
   • For platform integrations → check /integrations

3. Navigate to specific example

   cd crews/marketing_strategy  # or any other example

4. Install dependencies with UV

   uv sync  # Installs all dependencies and creates virtual environment

5. Follow the example's README Each example contains specific setup instructions and usage guides

Start with:

1. Starter Template - Basic crew structure
2. Instagram Post - Simple content creation
3. Job Posting - Straightforward business use case

Explore:

1. Marketing Strategy - Multi-agent collaboration
2. Self Evaluation Loop Flow - Iterative workflows
3. Stock Analysis - External API integration

Deep dive into:

1. Content Creator Flow - Multi-crew orchestration with dynamic routing
2. Write a Book with Flows - Complex parallel execution
3. Lead Score Flow - Human-in-the-loop patterns
4. CrewAI-LangGraph - Framework integration

• Configuration: Most examples use YAML files for agent/task definitions
• Tools: Examples showcase integration with APIs, databases, and file systems
• Flows: Advanced examples demonstrate state management and orchestration
• Training: Several examples include agent training capabilities

We welcome contributions! Please feel free to submit examples showcasing new use cases or improvements to existing ones.

This repository is maintained by the CrewAI team. Check individual examples for specific licensing information.

• CrewAI Framework - Main CrewAI repository
• CrewAI Cookbooks - Feature-focused tutorials and guides
• CrewAI Documentation - Comprehensive documentation
• CrewAI Community - Join our community discussions