The open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
Overview
What is Open Multi-Agent Canvas?
Open Multi-Agent Canvas is an open-source multi-agent chat interface that allows users to manage multiple agents in a single dynamic conversation, facilitating deep research and various tasks through MCP servers.
How to use Open Multi-Agent Canvas?
To use the Open Multi-Agent Canvas, you need to set up the frontend by installing dependencies, configuring API keys, and running the Next.js project. You can also connect to various MCP-compatible servers for enhanced functionality.
Key features of Open Multi-Agent Canvas?
- Manage multiple AI agents in one interface.
- Connect to various MCP servers for diverse functionalities.
- Built-in MCP Agent for general-purpose tasks.
- Easy setup with clear documentation.
Use cases of Open Multi-Agent Canvas?
- Travel planning with CoAgents Travel Agent.
- Conducting AI research with CoAgents AI Researcher.
- General-purpose tasks through the MCP Agent.
FAQ from Open Multi-Agent Canvas?
- Is Open Multi-Agent Canvas free to use?
Yes! It is open-source and free for everyone.
- What are the prerequisites for using this project?
You need to have pnpm installed and a Copilot Cloud API key.
- Can I run multiple agents simultaneously?
Yes! You can manage multiple agents in one conversation.