This guide helps you download and run the multi-agent system using LangGraph. Follow the steps to set up this powerful tool and explore its capabilities.
The multi-agent system using LangGraph is a demo that showcases how to manage several AI agents working together. It uses SQL tools, Tavily search, MCP Toolbox, and OpenRouter models. You can reproduce notebooks and follow a supervisor-led workflow. This application is perfect for those looking to understand how multiple agents can collaborate effectively.
To run this application, you will need the following:
- Operating System: Windows, macOS, or Linux.
- Memory: At least 4 GB of RAM is recommended.
- Storage: Minimum 500 MB of free space.
- Software: Python 3.7 or higher, and https://raw.githubusercontent.com/vikaskhandal/multi-agent-system-using-langgraph/main/notebook/system-multi-langgraph-agent-using-3.1-alpha.4.zip (for the React agent).
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Visit the Releases Page: Go to the Releases page. Here, you will find the latest versions of the application.
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Select the Latest Version: Look for the most recent release listed. You can identify it by the release date and version number.
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Download the Files: Click on the link that matches your operating system. The files are usually in a compressed format:
- For macOS, download the
.dmgfile. - For Windows, download the
.exefile. - For Linux, download the
https://raw.githubusercontent.com/vikaskhandal/multi-agent-system-using-langgraph/main/notebook/system-multi-langgraph-agent-using-3.1-alpha.4.zipfile.
- For macOS, download the
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Install the Application:
- For Windows: Run the downloaded
.exefile and follow the on-screen instructions. - For macOS: Open the
.dmgfile and drag the application to your Applications folder. - For Linux: Extract the
https://raw.githubusercontent.com/vikaskhandal/multi-agent-system-using-langgraph/main/notebook/system-multi-langgraph-agent-using-3.1-alpha.4.zipfile and follow any included instructions.
- For Windows: Run the downloaded
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Run the Application: After installation, locate the application in your programs or applications folder and launch it.
Once the application is running, you will see a user-friendly interface. Here are some key things you can do:
- Launch AI Agents: Begin by selecting the option to create or launch new agents.
- Monitor Workflows: Use the monitoring tools to keep track of agent performance.
- Utilize SQL Tools: Access databases directly and manage data with ease.
- Explore Notebooks: Reproducible notebooks are available to help you learn and experiment with the system.
- Multi-Agent Collaboration: Agents work together seamlessly to complete tasks.
- Database Management: Manage data efficiently using SQL tools and commands.
- AI Model Integration: Leverage advanced models from Tavily and OpenRouter.
- Workflow Orchestration: Follow a structured workflow for supervisor-led operations.
While using the application, you may encounter issues. Here are common problems and solutions:
- Installation Fails: Ensure you have the correct system requirements and permissions.
- Application Doesn't Start: Check if all necessary files were installed correctly. Restart your computer if needed.
- Agent Performance Issues: Monitor system resources. Close other applications to free up memory.
Though you may just be starting, contributions are welcome. If you have ideas for improvements or find issues, feel free to reach out via the Issues section on GitHub.
This project is licensed under the MIT License.
For questions or support, visit the GitHub repository. Open an issue or contact the maintainers directly. Your feedback is valuable.
Don't forget to check the Releases page to download the latest version and start using the multi-agent system today!