multi-agent-orchestrator

[](https://github.com/Federa3911/multi-agent-orchestrator)

multi-agent-orchestrator helps you run a set of AI agents from one place. It uses a supervisor pattern, which means one main agent helps guide the others. This setup is useful when you want different agents to handle different tasks, like research, writing, planning, or web lookup.

The app is built for Windows users who want to get started fast. You can download the project, open it, and run it with a simple local setup. It uses LangGraph under the hood, and it can work with tools like OpenAI, Anthropic, and Tavily.

Before you start, make sure your PC has:

• Windows 10 or Windows 11
• A stable internet connection
• At least 8 GB of RAM
• Python 3.10 or newer
• A modern web browser
• API keys for the AI services you want to use

If you plan to use the app with larger models or more agents, 16 GB of RAM gives a smoother experience.

Visit this page to download and use the project:

https://github.com/Federa3911/multi-agent-orchestrator

Follow these steps on your Windows PC:

1. Open the download link above.
2. Click the green Code button on GitHub.
3. Choose Download ZIP.
4. Save the file to a folder you can find again, such as Downloads.
5. Right-click the ZIP file and choose Extract All.
6. Open the extracted folder.
7. Install Python if it is not already on your PC.
8. Open Command Prompt in the project folder.
9. Set up the project files.
10. Start the app.

If the project uses a virtual environment, it keeps the app files separate from the rest of your PC. That helps avoid conflicts with other Python apps.

Use these steps after you unpack the files:

1. Open Command Prompt in the project folder.