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Open Multi-Agent Canvas

by CopilotKit

Open Multi-Agent Canvas is an open-source multi-agent chat interface for managing multiple agents in a dynamic conversation. It's built with Next.js, LangGraph, and CopilotKit for tasks like travel planning and research.

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What is Open Multi-Agent Canvas?

Open Multi-Agent Canvas is an open-source platform that allows you to create and manage conversations between multiple AI agents. It provides a user interface for interacting with these agents and configuring their behavior.

How to use Open Multi-Agent Canvas?

To use the Open Multi-Agent Canvas, you need to set up Copilot Cloud, configure API keys, and run the frontend application. You can also configure and run the MCP Agent backend to connect to various MCP-compatible servers. The README provides detailed instructions for each step.

Key features of Open Multi-Agent Canvas

  • Multi-agent conversation management

  • Dynamic chat interface

  • Integration with Next.js, LangGraph, and CopilotKit

  • Support for MCP servers

  • Configurable agents

  • Built-in MCP Agent

Use cases of Open Multi-Agent Canvas

  • Travel planning

  • AI research

  • General-purpose task automation

  • Building custom AI assistants

  • Connecting to external services via MCP

FAQ from Open Multi-Agent Canvas

What is Copilot Cloud?

Copilot Cloud is a platform required to run this project.

What is an MCP Agent?

An MCP (Multi-Channel Protocol) Agent is a general-purpose agent capable of handling various tasks through configurable MCP servers.

How do I configure custom MCP servers?

You can configure custom MCP servers by clicking the 'MCP Servers' button in the top right of the interface and adding servers via the configuration panel.

What are some public MCP servers I can connect to?

You can connect to public MCP servers like mcp.composio.dev and mcp.run.

Where can I find more documentation?

You can find more documentation at CopilotKit Docs, LangGraph Platform Docs, and Multi-Channel Protocol (MCP) Docs.