AI-Agent-Orchestration

Welcome to AI-Agent-Orchestration! This repository contains a Jupyter Notebook that explores AI Agents using the CrewAI framework, demonstrating how multiple agents can collaborate on tasks efficiently.

📌 Overview

This notebook walks through the process of building and orchestrating AI agents with CrewAI. It covers:

• Introduction to AI Agents – Understanding how AI-driven agents operate.
• Installing and Setting Up CrewAI – A framework for multi-agent collaboration.
• Using AI Agents with Serper Search Tool – Enabling real-time web searches.
• Creating AI Agents for Research & Writing – Defining agent roles and delegation.
• Task Assignment & Execution – Assigning tasks and managing workflow execution.
• Hands-On Implementation – Running a full AI-agent workflow.

⚡ Features

• Multi-Agent Collaboration – AI agents interact to complete a task.
• Real-World AI Applications – Demonstrates how agents can research and generate content.
• Agent-Orchestration with CrewAI – Simplifies complex AI workflows.
• Interactive Notebook – Modify and extend the project to fit different use cases.

🔧 Installation

To get started, follow these steps:

1. Clone the Repository:

   git clone https://github.com/RuvenGuna94/AI-Agents-Exploration.git
   cd AI-Agents-Exploration

2. Set Up a Virtual Environment (Recommended):

   python3 -m venv env
   source env/bin/activate

3. Install Dependencies:

   pip install -r requirements.txt

🚀 Usage

After installing the dependencies, launch the Jupyter Notebook server:

jupyter notebook

Open AI_Agents.ipynb in your browser and run through the cells to explore AI agent implementations.

🏗️ Notebook Structure

1. Introduction to AI Agents
2. Installing & Importing Dependencies
3. Setting Up CrewAI Framework
4. Using AI Agents for Research & Writing
5. Creating & Assigning Tasks
6. Executing the Agent Workflow
7. Conclusion and Future Applications

🤝 Contributing

Contributions are welcome! If you'd like to improve the notebook, follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -am 'Added new section on agent planning').
4. Push to the branch (git push origin feature-branch).
5. Create a new Pull Request.

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.

📬 Contact

For questions, suggestions, or feedback, feel free to reach out to me.

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🚀 Happy exploring AI agents!