Open Multi-Agent Canvas
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Open Multi Agent Canvas
Overview :
Open Multi-Agent Canvas is an open-source multi-agent chat interface built using Next.js, LangGraph, and CopilotKit. It allows users to manage multiple agents within a dynamic conversation, primarily for travel planning and research. Leveraging advanced technologies, it provides users with an efficient and flexible multi-agent interaction experience. Its open-source nature allows developers to customize and extend it to meet diverse needs, offering high flexibility and scalability.
Target Users :
This product is primarily designed for developers, researchers, and users who need efficient multi-tasking capabilities. It's ideal for those who need to manage multiple agents within a single interface to improve work efficiency or handle complex tasks. Its open-source nature allows developers to customize and extend it to suit their specific needs, enhancing its applicability and flexibility.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 59.9K
Use Cases
Travel Planning: Users can interact with multiple agents simultaneously to plan itineraries, book hotels, and purchase flight tickets.
Academic Research: Researchers can utilize multi-agent interaction for literature retrieval, data analysis, and experimental design.
Project Management: Team members can collaborate with multiple agents through the interface for task assignment, progress tracking, and problem-solving.
Features
Multi-Agent Management: Efficiently manage multiple agents simultaneously within a single interface for efficient multi-tasking.
Dynamic Conversational Interaction: Enables real-time, dynamic interaction between agents, enhancing user experience.
Open-Source and Customizable: Built on an open-source framework, allowing developers to customize and extend it to meet the demands of various scenarios.
Integration with CopilotKit and LangGraph: Leverages the powerful functionalities of CopilotKit and LangGraph for intelligent conversation and task handling.
Supports Diverse Applications: Applicable to a wide range of scenarios, including travel planning and research.
Provides Comprehensive Documentation and Development Guidelines: Facilitates quick onboarding and deployment for developers.
Cloud Deployment Support: Easily deployable to the LangSmith platform for rapid launch and usage.
Supports Multiple Languages and Frameworks: Built with Next.js, supporting various front-end development languages for easy integration and extension.
How to Use
1. Ensure pnpm is installed.
2. Obtain an API key for Copilot Cloud.
3. Clone the project and navigate to the `frontend` folder.
4. Create a `.env` file in the `frontend` folder and enter your CopilotKit API key.
5. Run `pnpm i` to install dependencies.
6. Run `pnpm run dev` to start the project.
7. Open your browser and access the local server to begin using the application.
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