RCrewAI Tutorials

Step-by-step tutorials to master RCrewAI from basics to advanced production deployments

Tutorials

Welcome to the RCrewAI tutorials! These step-by-step guides will take you from basic concepts to advanced production deployments.

🚀 Getting Started

Getting Started with RCrewAI

New to RCrewAI? Start here to learn the fundamentals: installing the gem, creating your first agents and tasks, and running your first crew.

What you’ll learn:

  • Installing and configuring RCrewAI
  • Creating agents with roles and goals
  • Defining tasks and dependencies
  • Running crews and interpreting results
  • Basic troubleshooting

Prerequisites: Basic Ruby knowledge
Time: 30 minutes
Difficulty: Beginner ⭐

🎯 Core Concepts

Advanced Agent Configuration

Level up your agents with sophisticated memory systems, custom reasoning loops, and specialized behaviors.

What you’ll learn:

  • Short-term and long-term memory systems
  • Custom reasoning loops and multi-stage processing
  • Manager agents and intelligent delegation
  • Performance optimization with caching
  • Specialized agent behaviors (research, code review)
  • Cross-agent communication patterns
  • Error handling and self-healing agents

Prerequisites: Getting Started tutorial
Time: 90 minutes
Difficulty: Intermediate ⭐⭐

Custom Tools Development

Extend agent capabilities by building custom tools for specialized tasks and integrations.

What you’ll learn:

  • Understanding tool architecture and base classes
  • Creating basic tools (calculator, weather, file processing)
  • Advanced features (state management, async processing)
  • API integration tools (REST, GraphQL)
  • Database and file processing tools
  • Testing strategies with RSpec
  • Security validation and best practices

Prerequisites: Getting Started tutorial
Time: 2 hours
Difficulty: Intermediate ⭐⭐

🏗️ Architecture & Scaling

Working with Multiple Crews

Scale your AI operations with multiple specialized crews working together on complex workflows.

What you’ll learn:

  • Multi-crew architecture patterns
  • Sequential pipeline execution
  • Parallel crew operations
  • Resource sharing between crews
  • Cross-crew communication systems
  • Advanced orchestration strategies
  • Production multi-crew systems with monitoring

Prerequisites: Advanced Agent Configuration
Time: 2 hours
Difficulty: Advanced ⭐⭐⭐

🚀 Production & Deployment

Production Deployment

Deploy RCrewAI to production with enterprise-grade reliability, monitoring, and security.

What you’ll learn:

  • Production readiness checklist
  • Docker containerization (multi-stage builds)
  • Kubernetes deployment with auto-scaling
  • Configuration management and secrets
  • Comprehensive monitoring (Prometheus, Grafana, tracing)
  • Security and access control
  • CI/CD pipeline with GitHub Actions
  • Operational procedures and disaster recovery

Prerequisites: Working with Multiple Crews
Time: 3 hours
Difficulty: Expert ⭐⭐⭐⭐

📚 Learning Paths

🎓 Beginner Path (Total time: ~4 hours)

Perfect for developers new to AI agents and crew-based AI systems:

  1. Getting Started (30 min)
  2. Simple Research Crew Example (30 min)
  3. Human-in-the-Loop Example (45 min)
  4. Advanced Agent Configuration (90 min)
  5. Custom Tools Development (2 hours)

🏢 Enterprise Path (Total time: ~8 hours)

For teams building production-ready AI systems:

  1. Complete Beginner Path (4 hours)
  2. Working with Multiple Crews (2 hours)
  3. Production Deployment (3 hours)
  4. Production-Ready Crew Example (1 hour)

🔧 Developer Path (Total time: ~6 hours)

For developers who want to extend and customize RCrewAI:

  1. Getting Started (30 min)
  2. Custom Tools Development (2 hours)
  3. Advanced Agent Configuration (90 min)
  4. API Integration Examples (1 hour)
  5. Web Scraping Crew Example (1 hour)

🎯 Tutorial Features

All RCrewAI tutorials include:

  • ✅ Complete working code - Copy-paste ready examples
  • ✅ Step-by-step explanations - Understand every concept
  • ✅ Best practices - Learn production-ready patterns
  • ✅ Troubleshooting sections - Debug common issues
  • ✅ Further reading links - Dive deeper into topics
  • ✅ Real-world scenarios - Practical use cases

💡 Tutorial Tips

Before You Start

  • Ensure you have Ruby 3.0+ installed
  • Have your LLM API keys ready (OpenAI, Anthropic, etc.)
  • Clone the examples repository for reference code
  • Join our community for support

While Learning

  • Run examples locally to see them in action
  • Experiment with different configurations
  • Try modifying examples for your use cases
  • Don’t hesitate to ask questions in our community

Getting Help

🚀 What’s Next?

After completing these tutorials, you’ll be ready to:

  • Build sophisticated multi-agent AI systems
  • Deploy production-ready crews with monitoring and scaling
  • Create custom tools for specialized use cases
  • Contribute to the RCrewAI community

Ready to become an RCrewAI expert? Start with Getting Started and work your way through the tutorials that match your goals!

Have ideas for additional tutorials? Let us know what you’d like to learn!