🤖 AI Agents Tutorial

Welcome to the AI Agents Tutorial! This repository provides a hands-on guide to building intelligent agents using Python and modern AI frameworks. Whether you're a beginner or an experienced developer, this tutorial will walk you through building autonomous agents capable of perception, reasoning, and action.

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📚 Table of Contents

• Overview
• Features
• Installation
• Quick Start
• Examples
• Project Structure
• Roadmap
• Contributing
• License

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🧠 Overview

This tutorial covers:

• Core concepts of AI agents (perception, planning, action)
• Building rule-based and learning-based agents
• Integration with tools like OpenAI GPT, LangChain, AutoGen, etc.
• Simple simulations and real-world use cases

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🚀 Features

• 📌 Modular Agent Framework
• 🤝 Multi-agent collaboration
• 🔗 Tool and API integration
• 🧪 Pre-built examples and environments
• 🗣️ Natural language interfaces

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⚙️ Installation

# Clone the repository
git clone https://github.com/yourusername/ai-agents-tutorial.git
cd ai-agents-tutorial

# Set up a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

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🧪 Quick Start

Run a basic agent demo:

python examples/basic_agent.py

Try a GPT-powered agent (requires OpenAI API key):

OPENAI_API_KEY=your_api_key python examples/gpt_agent.py

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💡 Examples

• examples/basic_agent.py – Rule-based agent example
• examples/gpt_agent.py – Language model-powered agent
• examples/multi_agent.py – Agents collaborating in a shared task

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📂 Project Structure

ai-agents-tutorial/
│
├── agents/              # Core agent implementations
├── examples/            # Example use cases and demos
├── tools/               # External tools and APIs
├── environments/        # Simulated environments for testing
├── requirements.txt     # Python dependencies
└── README.md            # This file

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🧭 Roadmap

• Basic reactive and planning agents
• LLM integration (GPT, Claude, etc.)
• Tool-using agents (search, file I/O)
• Autonomous multi-agent collaboration
• UI or CLI interface for controlling agents

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🤝 Contributing

Contributions, issues, and feature requests are welcome!

1. Fork this repo
2. Create your branch: git checkout -b feature/your-feature-name
3. Commit your changes: git commit -m 'Add some feature'
4. Push to the branch: git push origin feature/your-feature-name
5. Open a pull request

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📬 Contact

Have questions or feedback? Reach out via GitHub Issues.