Canopy

canopyide.dev ↗

A local desktop IDE for running coding-agent CLIs and reviewing their project changes.

SI Score
80/100
Pricing
Free AI reading, not confirmed
Free plan
Not confirmed
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Answers use saved listing facts and recorded sources.
Homepage screenshot
Screenshot of the Canopy homepage

What it does

Canopy is a local-first desktop IDE that puts coding-agent sessions beside the files, Git changes, and running previews they affect. It can host supported agent command-line tools in project workspaces, including isolated Git worktrees, then show the resulting branch and diff for review. Canopy does not provide the model or agent account itself; it adds a project-oriented workspace around tools a developer already uses.

Bring a project and an agent CLI

Install the desktop app, a supported coding CLI, Git, and the runtime your project needs. Open a repository or the supplied practice project, choose an agent you already use, and give it one small request with a result you can check. The getting-started guide suggests inspecting a first change rather than beginning with a broad, open-ended task.

An illustrative first task is to change an empty-state message in a small task-board project. Canopy keeps the CLI session in a terminal and places the affected files, Git diff, branch, and app preview nearby, so the developer can review what changed and run the project's own checks. This entry describes the documented workflow, not a test performed here. A useful tip is to ask for a narrowly scoped change and acceptance condition, then inspect the diff before accepting the result. Canopy is free and MIT licensed, and its repository says no Canopy account is required.

The agent CLIs retain their own provider accounts and model billing, and the project still needs Git and its own runtime. Canopy organizes and exposes an agent's work, but does not bundle the AI service that generates code.

Strengths

  • Keeps real agent CLI terminals and project context in one desktop workspace.
  • Shows Git branches and diffs alongside the app preview so changes can be inspected before they are accepted.
  • The project is MIT licensed and its workspace state is local-first.

Watch out for

  • Users must install and authenticate their own supported agent CLI; Canopy does not include model access or its billing.

Best for

  • Developers coordinating multiple local coding-agent sessions
  • People who want to inspect agent edits against Git changes and a running project
  • Teams using their existing coding-agent CLI accounts rather than a bundled AI plan

Sources