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CanvasCode
About CanvasCode
CanvasCode is a native macOS application that provides an infinite canvas where multiple AI agents can work simultaneously. Each agent operates in its own panel with a real terminal, allowing all processes to remain visible at once. Users can open as many agents as needed, each running different models such as Codex, Claude, or Grok. The canvas organizes itself, with agents coordinating tasks, splitting workstreams, and installing required skills or MCP tools without leaving the interface. A built-in browser within each agent panel shows the results of their work, including screenshots and console output, eliminating the need to switch applications. Voice control via the Nina assistant allows users to manage agents, generate images, or query project status without using the keyboard. Projects maintain their own themes, tools, and history, with memory summaries tracking each agent’s progress and contributions.
Key features
- Infinite canvas with zoom and drag
- Real terminal panels for each agent
- Model selection per agent
- Self-orchestrating agent coordination
- Project-specific memory summaries
- Skills registry for project tools
- MCP server integration
- Image generation and gallery
Use cases
- Coordinating multiple AI agents on a single project
- Real-time code review and debugging across agents
- Generating and reviewing UI changes in a built-in browser
Pros
- Infinite canvas with self-organizing panels
- Supports multiple AI models per agent
- Built-in browser for real-time result preview
- Voice control for hands-free operation
- Skills and MCP tools installable per project
Cons
- Waitlist-only access
- macOS 14+ required
- Apple Silicon and Intel support only
Frequently asked questions about CanvasCode
What is CanvasCode and what does it do?
CanvasCode is a native macOS application that provides an infinite canvas where multiple AI agents can work simultaneously. Each agent operates in its own panel with a real terminal, allowing all processes to remain visible at once. Users can open as many agents as needed, each running different models such as Codex, Claude, or Grok.
Who is CanvasCode designed for?
CanvasCode is designed for users who need to manage multiple AI agents simultaneously, such as developers, designers, or teams working on complex projects that require coordination between different AI models and tools.
How does CanvasCode handle voice control?
CanvasCode includes a voice assistant called Nina that allows users to manage agents, generate images, or query project status without using the keyboard. Users can speak commands to open agents, split tasks, install skills, or organize the canvas.
Can CanvasCode integrate with external tools or APIs?
Yes, CanvasCode supports MCP tools and skills from a public registry, which can be installed and enabled per project. Agents can also install these tools directly from within the app, allowing for seamless integration with external systems.
How do agents coordinate tasks in CanvasCode?
Agents in CanvasCode coordinate themselves by splitting workstreams, communicating with each other, and opening additional agents when needed. The canvas organizes itself, and a built-in memory system tracks each agent’s progress and contributions.
What is the built-in browser feature in CanvasCode?
Each agent panel in CanvasCode includes a built-in browser that displays the results of their work, such as screenshots and console output. This eliminates the need to switch applications and keeps all outputs visible within the canvas.
CanvasCode Website Engagement
Last Update: 9 days ago