ThinkRail Desktop or Browser? Check the Build Before Your First Agent Task

ThinkRail combines an interface for the pi coding agent with Git worktree workspaces and a graph of project specifications. Its product site describes an open-source JetBrains InnovationHub project, with an editor, terminals and change review around the agent. Before opening a real project, decide which build you can run and how you will review its first change.

ThinkRail’s product overview and platform choices

Conceptual illustration of a developer comparing coding interfaces and separate workspaces.
Conceptual illustration of a developer comparing coding interfaces and separate workspaces.

Check the desktop requirements first

As checked on October 28, 2026, the repository lists macOS 14+ desktop builds for both Apple Silicon and Intel; choose the DMG for your architecture. Windows desktop is x64; its setup executable must remain beside the payload in the extracted ZIP. Linux desktop supports x64 and ARM64, with glibc 2.38+ and the listed GTK, WebKitGTK, AppIndicator and librsvg dependencies. Check those requirements against the actual machine before downloading.

The alternative is the thinkrail CLI, which launches the interface in a browser. It still needs a local launcher, Git on PATH and an authenticated model provider. The README offers JetBrains AI sign-in or your own provider credentials. A browser window alone is therefore not the complete setup.

Official README: desktop requirements, CLI and authentication

Separate the release channel from the interface

At the October 26, 2026 check, the releases page marked v0.2.0 as Latest, dated October 18, while 0.3.0-nightly.6, dated October 25, was marked Pre-release. A larger version number does not erase that channel distinction. Recheck the release labels when you download rather than assuming this snapshot remains current.

Official release labels and change notes

Write down the version, channel, operating system and interface you chose. If an experiment fails, that small record makes it easier to compare the result with a release note or issue report. Avoid changing the model, build and task simultaneously when trying to understand a failure.

A worktree separates files, not the whole machine

ThinkRail’s site describes each workspace as its own Git worktree, branch and working directory, with files, terminals and chats scoped to it. That helps separate concurrent lines of development. Read that as a source-control arrangement rather than a claim that every external effect is isolated.

For stronger agent isolation, review network, filesystem and credential controls rather than treating a worktree as a sandbox.

Git’s own manual says a linked worktree shares the repository while keeping per-worktree files such as HEAD and the index separate. The worktree list command shows paths, revisions and branches. Git’s normal removal command requires a clean worktree; untracked files and modifications matter when cleaning up an experiment.

Git’s worktree sharing, listing and removal rules

For a first trial, choose a small task with a clear expected result. Check the active path and branch, inspect the diff, run the project’s relevant checks, and decide what to retain before removing the workspace. Treat generated specification changes as reviewable work too: project intent should stay accurate alongside the implementation.

Check your trial plan

A useful trial ends with a change you can explain and reproduce. Choose a supported build, record its channel, verify the workspace you are using and review the outcome. Those checks provide a firmer basis for deciding whether ThinkRail fits your workflow than the appearance of its interface alone.