JetBrains · ThinkRail: JetBrains' Open-Source Agentic IDE for the Pi Coding Agent
ThinkRail is a free, open-source (Apache-2.0) agentic IDE from JetBrains InnovationHub that wraps the Pi coding agent in a desktop or browser workbench. Each task runs in its own git-worktree workspace, and the agent keeps a graph of SPEC.md files beside the code. It suits developers who like Pi but want an editor, diffs, terminals, and review around it instead of a terminal UI.
Best for
Developers who use or want to try the Pi coding agent and prefer an IDE-style workbench with worktree isolation, diff review, and spec files over a terminal UI, especially when running several agent tasks in parallel on one repo
Not ideal for
Teams that want to run Claude Code, Codex, or several different agent harnesses side by side, organizations that need supported, production-grade tooling with admin controls, Intel Mac users who want a desktop app, and anyone who needs approval gates or sandboxing for every agent command
Who it's for
Pi users and developers new to Pi who want a visual IDE around the agent, plus agent-first builders who run parallel tasks on git repositories
ThinkRail is the most direct way to get an IDE around Pi without giving up what makes Pi attractive. It does not reinvent the agent, so your providers, extensions, and history carry over. What it adds is structure around Pi's deliberately minimal core: worktree isolation by default, turn and hunk-level review, a plan, subagents, MCP management with approvals, and a spec graph that keeps decisions in the repo. The catch is scope and maturity. It is an experimental incubator project at version 0.2, it only drives Pi, and it does not add approval gates for the agent's own commands. Pi users and developers curious about spec-driven work should try it. Teams that want one surface for Claude Code, Codex, and other agents, or vendor-supported tooling, should look at JetBrains Air, T3 Code, or Orca instead.
Who should use it
Developers already using Pi who want a GUI with diffs, terminals, and review; newcomers who want an easier on-ramp to Pi; and builders who run several agent tasks in parallel on one repository and want each isolated on its own branch with specs that persist between sessions.
Who should skip it
Developers committed to Claude Code, Codex, or another agent harness; teams that need admin controls, cloud agents, or vendor support; Intel Mac users who want the desktop app; and anyone who needs per-command approvals or sandboxing built in.
Open Source
Free
Note: ThinkRail itself is free. Model usage is billed by the provider you connect, whether JetBrains AI or a provider configured through Pi.
Available models
Parallel feature work on one repository
Each workspace is a git worktree with its own branch, files, terminals, and chats, so one Pi agent can build a feature while another fixes a flaky test, and the main branch stays clean until you merge.
Keeping agent work consistent across sessions
The agent reads and updates a graph of SPEC.md files through spec_* tools, so goals and design decisions stay in the repo instead of disappearing with a chat.
Reviewing agent changes before they reach a pull request
Turn summaries come from worktree snapshots rather than the agent's own report, and the branch diff lets you keep, revert, or question individual hunks before ThinkRail opens the GitHub pull request.
ThinkRail vs. Pi Coding Agent
Pi is the terminal agent ThinkRail embeds. On its own, Pi is a minimal harness that skips features such as sub-agents and plan mode and expects you to add them as packages. ThinkRail runs the same engine and configuration but adds a graphical workbench, worktree workspaces, spec tools, diff review, and bundled extensions for subagents, a TODO plan, and web research.
ThinkRail vs. JetBrains Air
JetBrains Air is JetBrains' system for running and governing many coding agents across IDEs, a desktop app, and cloud tasks, with credit limits and policies. ThinkRail is a separate open-source incubator project that runs only Pi locally and focuses on spec-driven work and review, with no cloud tasks or admin controls.
ThinkRail vs. Junie
Junie is JetBrains' own coding agent, available in JetBrains IDEs, a CLI, and CI. ThinkRail does not include Junie; it is an IDE shell for the third-party Pi agent.
ThinkRail vs. T3 Code
T3 Code is an open-source control surface that drives several agent harnesses, including Claude Code, Codex, OpenCode, and Pi, on desktop, web, and mobile. ThinkRail runs only Pi but goes deeper into it, with an editor, spec graph, and per-hunk review.
ThinkRail vs. Orca
Orca is an open-source agent development environment that runs CLI agents such as Claude Code, Codex, and OpenCode in their own worktrees and terminals. ThinkRail uses the same worktree model but embeds one agent, Pi, with structured chats and spec tools instead of running agents in terminals.
ThinkRail vs. Kiro
Kiro is AWS's agentic IDE built around specs (requirements, design, and tasks), with its own agent, cloud sessions, and credit-based pricing. ThinkRail is free and open source, runs Pi with your own provider, and keeps specs as a linked graph of SPEC.md files beside the code.
What is ThinkRail?
ThinkRail is an agentic IDE built around the Pi coding agent. It runs Pi inside its own process and adds a workbench with an editor, diffs, terminals, and concurrent chats. Each task runs in an isolated git-worktree workspace, and the agent maintains a graph of SPEC.md files that describes the project's intent.
Is ThinkRail an official JetBrains product?
It is a JetBrains InnovationHub project published in JetBrains' GitHub organization with an incubator badge. JetBrains describes incubator projects as official projects that are experimental, not yet mature, and provided as is, so expect frequent changes rather than the support level of JetBrains' main IDEs.
Is ThinkRail free and open source?
Yes. ThinkRail is licensed under Apache-2.0 and has no paid tier or accounts of its own. You pay for model usage through whichever provider you connect, either JetBrains AI or a provider configured through Pi's auth.
How is ThinkRail related to the Pi coding agent?
ThinkRail embeds Pi as a library, so you do not need to install Pi separately. Pi still controls models, skills, extensions, context compaction, and sessions. If you already use the Pi CLI, both share the ~/.pi folder, so providers, extensions, and chat history are available in either.
Which models can ThinkRail use?
Any model Pi can reach. You can sign in with JetBrains AI or connect a provider through Pi's own authentication, and each chat can use its own model.
Can ThinkRail run Claude Code or Codex?
No. Pi is ThinkRail's only agent engine, and the project rules out adding a second runtime. ThinkRail can read Agent Skills you keep in Claude, Codex, Copilot, or Gemini folders, but the agent that runs them is always Pi. If you want one interface for several agent harnesses, T3 Code, Orca, or JetBrains Air are closer fits.
ThinkRail vs JetBrains Air: what is the difference?
JetBrains Air runs and governs many agents, including Claude Agent, Codex, and Junie, across JetBrains IDEs, a desktop app, and cloud tasks. ThinkRail is an open-source incubator project that runs only the Pi agent and focuses on worktree workspaces, spec files, and diff review on your own machine.
Which platforms does ThinkRail support?
Desktop apps are available for Apple Silicon Macs, Windows x64, and Linux x64 and ARM64 (Ubuntu 24.04 or newer). The thinkrail CLI opens the same app in a browser and installs on macOS, Linux, Windows, and WSL. There is no Intel Mac desktop build or prebuilt Intel Mac CLI.
Does ThinkRail collect data?
It always sends basic usage events and error reports tied to a random installation ID. According to the README, these never include prompts, code, files, or credentials. Additional usage sharing is optional and can be turned off in Settings or with the --no-analytics flag.

T3 Tools
Developers who already pay for one or more coding agents (Claude Code, Codex, Cursor, Grok Build, OpenCode) and want a single GUI to run them in parallel, ship pull requests, and keep working from a phone or another computer
Free
Stably AI
Developers who already use one or more CLI coding agents and want to run and review many of them in parallel without branch conflicts
FreeAmazon Web Services
Developers and teams who want planned, documented changes (requirements, design, and tasks) before code is written, especially for multi-step features and teams already using AWS identity
FreemiumThinkRail is not a new agent. It embeds the open-source Pi coding agent as a library, runs it in-process, and puts an IDE around it: Monaco editor tabs, a files tree with git change marks, terminals, diffs, and several concurrent chats per workspace, each with its own model and a live token and cost readout. Pi still owns the models, system prompt, skills, extensions, compaction, and session state, and ThinkRail shares Pi's ~/.pi folder, so providers, extensions, and chat history carry over if you already use the Pi CLI. The workflow starts by opening a local git repository as a project and cutting workspaces from it. Each workspace is a git worktree with its own branch and working directory, so several agents can work in parallel while your checkout stays untouched, and you merge the branch you want and delete the rest. Working directly in the project folder is possible but an explicit choice. Two ideas set it apart from other agent GUIs. First, specs: a connected graph of SPEC.md files with frontmatter lives in the repo, and a bundled pi-spec-graph extension gives the agent spec_* tools to search and maintain it, so decisions outlive a chat. Second, review: since version 0.2.0 every agent turn ends with a summary of changed files and a Review turn button, and the branch diff offers Keep, Revert, and Ask agent about this hunk on each hunk. Bundled extensions add web research, subagents, a shared TODO plan, and inline diagrams and UI mockups, and ThinkRail runs the MCP servers from Pi's mcp.json with an in-chat confirmation before calls that may change data. Workspaces can push their branch and open or update a GitHub pull request through your own gh CLI, then show its checks and review decision. ThinkRail ships as a native desktop app for Apple Silicon Macs, Windows x64, and Linux (x64 and ARM64), or as a thinkrail CLI that opens the same app in a browser. It has no accounts of its own: you sign in with JetBrains AI or connect any provider through Pi's auth. The tradeoffs: it is a JetBrains incubator project, which JetBrains defines as experimental and provided as is; it only runs Pi, not Claude Code, Codex, or other harnesses; and a docs site is still marked coming soon.
Version 0.2.0 ends each agent turn with a summary of changed files and a Review turn button, adds Keep, Revert, and Ask agent actions per hunk, runs MCP servers from mcp.json with in-chat approvals, adds a Cmd/Ctrl+K switcher for chats that need input, and moves finished workspaces to a Settled shelf.
The ThinkRail team detailed native desktop apps for macOS, Windows, and Linux alongside the browser-based CLI, and explained how ThinkRail shares Pi's ~/.pi folder and discovers skills from Pi, Claude, Codex, Copilot, and Gemini folders.
ThinkRail was introduced as an agentic IDE for the Pi coding agent, adding a visual layer, git worktree workspaces, spec-driven development, and code review on top of Pi's command-line workflow.
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