https://github.com/alejandro-ao/crewai-crash-course
Tutorial: Introduction to CrewAI
https://github.com/alejandro-ao/crewai-crash-course
Last synced: 3 months ago
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Tutorial: Introduction to CrewAI
- Host: GitHub
- URL: https://github.com/alejandro-ao/crewai-crash-course
- Owner: alejandro-ao
- Created: 2024-03-29T09:43:21.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-07-05T01:48:57.000Z (9 months ago)
- Last Synced: 2024-12-25T01:09:52.952Z (4 months ago)
- Language: Python
- Size: 805 KB
- Stars: 52
- Watchers: 3
- Forks: 39
- Open Issues: 5
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Metadata Files:
- Readme: readme.md
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README
# Crew AI Autonomous Agents Tutorial
Quick links:
- [YouTube Tutorial](https://youtu.be/kBXYFaZ0EN0)
- Crew AI: [Website](https://crewai.com) | [Documentation](https://docs.crewai.com)
- [Blog Post](https://alejandro-ao.com/crew-ai-crash-course-step-by-step)
> Discover how to create intelligent, autonomous agents with Crew AI in our step-by-step video tutorial on [YouTube](https://youtu.be/your_video_link).
## Introduction
Dive deep into the fascinating world of Crew AI and learn how to build your autonomous agents from scratch. This project is a comprehensive guide to understanding and implementing Crew AI's capabilities to design intelligent systems that can perform tasks autonomously, think for themselves, and work together as a crew.
## How It Works
The tutorial covers the following key concepts and steps:
1. **Crew AI Overview:** Introduction to Crew AI and its core components.
2. **Building the Crew:** Step-by-step instructions on creating your crew, including defining tasks, agents, and the tools they'll use.
3. **Designing Autonomous Agents:** Guidelines for designing agents with specific roles, goals, and the ability to think and act independently.
4. **Implementing Tasks and Tools:** How to create tasks that your crew will perform and the tools agents can use to accomplish these tasks.
5. **Running the Crew:** Instructions on how to kick off your crew, allowing the autonomous agents to execute the defined tasks and achieve the project's goal.
## Dependencies and Installation
To get started with the Crew AI tutorial project, please follow these steps:
1. Clone the repository to your local machine.
2. Initialize your virtual environment and install the necessary dependencies by executing:
```
pip install -r requirements.txt
```
3. Set up your API keys for Crew AI and any other services used in the project. Add them to the `.env` file in the project's root directory.
## Usage
Follow the video tutorial!
## Contributing
This project is designed for educational purposes as part of a comprehensive YouTube tutorial on Crew AI. While this repository serves as a foundation for learning and exploration, we encourage you to fork it and experiment with creating your own autonomous agents and crews based on the concepts taught.
## License
This Crew AI Autonomous Agents Tutorial project is released under the [MIT License](https://opensource.org/licenses/MIT).