This repository provides a curated collection of examples demonstrating the capabilities of the CrewAI framework for automating complex workflows through collaborative AI agents. It targets developers and researchers looking to leverage AI agent orchestration for tasks ranging from marketing strategy to job candidate matching.

How It Works

CrewAI enables the creation of autonomous AI agents that collaborate to achieve complex goals. Agents are assigned specific roles, tools, and backstories, allowing them to interact and delegate tasks in a structured manner, mimicking human team dynamics for more sophisticated problem-solving.

Quick Start & Requirements

• Installation: pip install crewai
• Prerequisites: Python 3.8+
• Examples can be run directly from the repository.
• Official documentation: https://docs.crewai.com/

Highlighted Details

• Demonstrates diverse applications: marketing, HR, finance, content generation.
• Includes examples integrating with LangGraph for advanced agent orchestration.
• Features a starter template for building custom agent-based applications.
• Showcases usage with different LLM providers, including Azure OpenAI.

Maintenance & Community

• Maintained by the CrewAI core team and community contributors.
• Community support available via Discord.
• Roadmap and updates are typically shared on the main CrewAI repository.

Licensing & Compatibility

• License: Apache 2.0
• Permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

The examples are illustrative and may require adaptation for specific use cases. Some older examples may need updates to align with the latest CrewAI framework versions.