Developer tools
CanvasCode
A macOS canvas for orchestrating multiple AI coding agents in parallel.
- Category
- Developer tools
- Stage
- Growth
- For
- macOS developers who use AI coding agents across software projects
- Platforms
- MacOS
- Pricing
- 14 Days Trial + LifetimePayment
About
Run many AI agents in parallel on one canvas, each in its own panel, organized by project. Conduct them by voice. Nothing gets lost. For macOS.
Features
- Problem
- A single chat limits work to one agent at a time.
- How it works
- Places multiple agents side by side on an infinite canvas with real running terminals; users can zoom, drag, and group panels.
- Result
- Developers can run several agents at once while staying in command.
- Why
- Keeps parallel work visible and organized in one workspace.
- Problem
- Different tasks may call for different AI models.
- How it works
- Lets users choose Codex, Claude, or Grok per agent and run several of each together.
- Result
- Teams of agents can use models suited to their individual tasks.
- Why
- Enables model selection at the agent level.
- Problem
- Parallel agents are difficult to coordinate manually.
- How it works
- Agents can communicate, split a workstream, and open additional agents when needed.
- Result
- Multi-agent work can be delegated and coordinated from one canvas.
- Why
- The user provides the mission while the agent room organizes the work.
- Problem
- Checking progress across terminals requires reading each one.
- How it works
- Tracks agent activity and assembles summaries of the mission, changes, and findings.
- Result
- Developers can understand progress without opening every terminal.
- Why
- Provides a canvas-level view of work status.
- Problem
- Project tools and extensions need to stay scoped to the relevant work.
- How it works
- Supports skills and MCP servers per canvas, including installation from public or official registries.
- Result
- Tooling stays organized by project.
- Why
- Each project can use its own enabled tools.
- Problem
- Developers often switch apps to inspect an agent's web changes.
- How it works
- Provides an internal browser for agents to open pages, take screenshots, read the console, and show results in the canvas.
- Result
- Developers can review agent output without leaving CanvasCode.
- Why
- Keeps implementation and preview together.
- Problem
- Controlling a multi-agent workspace can interrupt coding flow.
- How it works
- Nina supports voice control for opening agents, splitting tasks, generating images, installing skills or MCPs, and reporting agent activity.
- Result
- Users can direct the workspace without touching the keyboard.
- Why
- Voice commands operate across the whole canvas.