AI Agents Code Repository

📌 Overview

This repository contains implementations of various AI Agent architectures, including:
✅ Multi AI Agents for Kaggle tasks.
✅ Langgraph AI Agents for structured AI workflows.
✅ Crew AI for team-based agent collaboration.

These AI agents utilize Python and Jupyter Notebooks to demonstrate advanced multi-agent coordination and problem-solving.

---

CODES-AI-Agents/
│-- CODES/
│   ├── MULTI-AI-AGENT/
│   │   ├── Multi_AI_Agent_Kaggle.ipynb
│   │   ├── multi_ai_agent_kaggle.py
│   ├── Langgraph Agents/
│   │   ├── Example_Langraph_AI_Agents.ipynb
│   │   ├── example_langraph_ai_agents.py
│   │   ├── Langraph_AI_Agents.ipynb
│   │   ├── langraph_ai_agents.py
│   ├── CREW AI/
│   │   ├── Crew_AI.ipynb
│   │   ├── crew_ai.py
│-- README.md


### 📄 *Files Description*  
| File Name                        | Description                                                                  |
+----------------------------------+------------------------------------------------------------------------------+
| Multi_AI_Agent_Kaggle.ipynb      | Jupyter notebook demonstrating Multi AI Agents for Kaggle.                   |
| multi_ai_agent_kaggle.py         | Python script implementing Multi AI Agents for Kaggle tasks.                 |
| Example_Langraph_AI_Agents.ipynb | Example Jupyter notebook for Langgraph AI Agents.                            |
| example_langraph_ai_agents.py    | Python script with Langgraph AI agent examples.                              |
| Langraph_AI_Agents.ipynb         | Jupyter notebook for Langgraph AI agent experiments.                         |
| langraph_ai_agents.py            | Python script implementing Langgraph AI Agents.                              |
| Crew_AI.ipynb                    | Jupyter notebook for Crew AI agent implementation.                           |
| crew_ai.py                       | Python script implementing Crew AI.                                          |
| README.md                        | Documentation for repository structure and usage.                            |

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🚀 Getting Started

✅ Prerequisites

Before running the code, install the following dependencies:

• Python (≥ 3.8)
• Jupyter Notebook (pip install notebook)
• Langgraph (pip install langgraph)
• Crew AI (pip install crewai)

🔧 Installation & Usage

🔹 1. Clone the Repository

sh git clone https://github.com/your-username/CODES-AI-Agents.git cd CODES-AI-Agents/CODES

🔹 2. Running Jupyter Notebooks

To explore AI agents in an interactive environment:
sh jupyter notebook

Then, open any of the notebooks and execute the cells.

🔹 3. Running Python Scripts

To execute agent scripts, use:
sh python path/to/script.py

For example:
sh python MULTI-AI-AGENT/multi_ai_agent_kaggle.py

---

📖 Usage

This repository is useful for:
✅ Understanding AI Agent Architectures – Hands-on experience with *Multi AI Agents, **Langgraph AI, and *Crew AI.
✅ Building and Testing AI Workflows – Creating structured AI systems for collaboration and automation.
✅ Developing AI-powered applications – Extending these agents for real-world use cases.

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📜 License

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

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🤝 Contributing

We welcome contributions! If you’d like to improve this project:

1. Fork this repository.
2. Create a new feature branch (git checkout -b feature-name).
3. Commit your changes (git commit -m "Added new feature").
4. Push to your branch (git push origin feature-name).
5. Open a pull request.

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📞 Contact

For any questions or suggestions, feel free to reach out:
📧 Email: your.email@example.com
🔗 LinkedIn: Your LinkedIn Profile