# ThinkRail
[](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)
[](https://star-history.com/#JetBrains/thinkrail&Date)
[](https://thinkrail.ai/discord)
ThinkRail is the agentic IDE that gets better every time you use it — learning your project through
living specs today, and building its own capabilities tomorrow.
We built a rich interface around the [`pi`](https://www.npmjs.com/package/@earendil-works/pi-coding-agent)
coding agent, isolated work into separate workspaces, and gave the agent durable project knowledge
through living specs and reusable skills. Next, we're adding full extension support, so ThinkRail can
create the tools it needs based on how you actually work.
**Website:** [thinkrail.ai](https://thinkrail.ai/) · **Blog:** [thinkrail.ai/blog](https://thinkrail.ai/blog/) ·
**Discord:** [thinkrail.ai/discord](https://thinkrail.ai/discord)
⭐ If you find ThinkRail useful, give it a star — it helps others discover it.
<p align="center">
<a href="https://www.star-history.com/jetbrains/thinkrail">
<picture><source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/badge?repo=JetBrains/thinkrail&type=rank&theme=dark" /><source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/badge?repo=JetBrains/thinkrail&type=rank" /><img alt="Star History Rank" src="https://api.star-history.com/badge?repo=JetBrains/thinkrail&type=rank" /></picture> <picture><source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/badge?repo=JetBrains/thinkrail&type=trending&theme=dark" /><source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/badge?repo=JetBrains/thinkrail&type=trending" /><img alt="GitHub Trending Repository of the Day" src="https://api.star-history.com/badge?repo=JetBrains/thinkrail&type=trending" /></picture>
</a>
</p>
<picture>
<source media="(prefers-color-scheme: dark)" srcset=".github/readme-assets/workbench-dark.png">
<img src=".github/readme-assets/workbench-light.png" alt="ThinkRail workbench: the Projects pane beside the left tool rail listing worktree workspaces and their Settled shelf, a finished pi conversation with its tool steps in the center, the resulting diff beside it, and the Specs tree above the Changes list on the right with their tools on the edge rail" width="900">
</picture>
*A `pi` session and the change it made, scoped to an isolated git-worktree workspace.*
## What you get
- **Isolated workspaces.** Open any git repo as a project and cut workspaces from it as `git worktree`s,
each with its own branch and working directory. Agents work in parallel without touching your
checkout; merge the good branch, delete the rest. You can also attach existing worktrees or explicitly
work in the project folder itself. Finished and dormant workspaces settle onto a per-project shelf on
their own — when their pull request merges or closes, or after a quiet week — and come back the moment
you work in them. The topbar shows where the active branch stands against `origin` and its pull request,
with the next step one click away: publish, push, or open a PR described from the plan, the commits,
your PR template, or an agent-written draft. Once a GitHub PR is open it shows the CI checks and review
decision, and lets you mark it ready, hand failing checks or a diverged branch to the agent, merge it
with the repository's last-used method, reopen it, or delete the remote branch.
- **A real IDE around the agent.** A splittable workbench of Monaco editor tabs, a Files tree with live git
change marks and a Changed view, terminals, and documents — all scoped to the active workspace. Leave
anchored review comments on files and diffs and send them to a chat as structured context, or open the
worktree in your installed IDE.
- **Chats that stream like the engine thinks.** Several concurrent `pi` sessions per workspace, each with
its own model and live token and cost readout. Steer a running turn or queue a follow-up, delegate to
subagents, and work a shared plan the agent updates and you edit — each completed step can be committed
and reviewed on its own.
- **Find chats and run commands from one box.** `⌘K` (or a double tap of Shift) opens a palette that finds
chats, workspaces and projects across every open project, runs the app's commands with their shortcuts
shown, and jumps to a Settings section. With nothing typed it lists the chats waiting for you.
- **Specs as ground truth.** A connected graph of `SPEC.md` files lives beside the code; the agent reads,
searches, and maintains it through dedicated `spec_*` tools, so intent survives the session. The
read-only Specs tool renders the graph as a tree in the workbench.
- **Skills and workflows.** Portable Agent Skills you already keep for other coding agents are read in
place, and bundled workflows guide project setup, design brainstorming, and shipping a pull request —
pushing the workspace branch and opening or updating its GitHub PR through your own `gh`.
- **Agent tools beyond the shell.** Web research, structured multiple-choice questions the agent asks you
in the chat instead of guessing, and inline diagrams, option comparisons and file previews rendered right
in the chat — when the agent proposes a UI change it shows a before/after mockup you can comment on like
a diff. Settings → Extensions lists the ThinkRail extensions the agent gets and lets you switch each one
off — and installs any `pi` package by source (npm, git or a local folder), for you or for a repository,
showing what each one adds and letting you switch packages, their individual extensions and skills, and
pi's built-ins on or off; open chats pick a change up when their turn ends. The questions and visualize
tools are also published as plain `pi` packages, one each —
`pi install npm:@thinkrail/pi-ask-user-question` for the questions
([`@thinkrail/pi-ask-user-question`](https://www.npmjs.com/package/@thinkrail/pi-ask-user-question)) and
`pi install npm:@thinkrail/pi-visualize` for the diagrams and previews
([`@thinkrail/pi-visualize`](https://www.npmjs.com/package/@thinkrail/pi-visualize)) — so a vanilla `pi`
in the terminal gets the same tools.
- **MCP servers.** Connect the MCP servers in your `pi` `mcp.json` (or add them, and a few presets, from
Settings): ThinkRail asks in the chat before calls the server does not mark read-only (or always allows
the tools you trust in a project), keeps servers a repository
defines off until you approve them, signs you in to OAuth servers from Settings, and shows each chat's
servers next to its background commands and subagents.
- **Your providers, your credentials.** Sign in with [JetBrains AI](https://www.jetbrains.com/ai/) or
connect any provider through `pi`'s own auth. ThinkRail has no accounts of its own.
- **Your pi setup.** ThinkRail reads your existing `pi` configuration (`~/.pi/agent`). To use another one
— say a personal `~/.pi/agent-personal` — or to pass extra environment variables to the agent, terminals
and MCP servers, set them in Settings → Environment; they apply on the next start. A variable you set
when launching (`PI_CODING_AGENT_DIR=… thinkrail`) still wins.
- **Your own model servers.** Settings → Providers → **Custom servers** connects a company LLM gateway or a
model running on your own machine — any OpenAI-compatible server, such as LiteLLM, sglang, vLLM, Ollama,
LM Studio or llama.cpp. **Find models** lists what the server serves, with the context and capabilities it
reports. The server is saved to `pi`'s `models.json`, so its models appear in the chat model picker and in
the `pi` CLI alike.
- **Desktop app or browser.** A native desktop app, or the `thinkrail` CLI that opens the same app in your
browser. Both embed the same engine host; app state lives under `~/.thinkrail`.
- **Your language.** Settings → Language follows your system language or a language you pick; English,
Japanese, Russian, Simplified Chinese, and Spanish are built in. Add a language ThinkRail doesn't ship yet by
dropping a translated `en.json` into `~/.thinkrail/locales` — it applies as you save. Agent replies and
tool output stay as the agent wrote them.
- **Your themes.** Settings → Appearance ships dark, light, minimal and high-contrast themes. Make your own
by copying a bundled `*.theme.json`, changing its id and colors, and saving it to `~/.thinkrail/themes`.
- **Your fonts.** Settings → Appearance picks the interface and code fonts from the bundled Geist and
JetBrains Mono, any font installed on your computer, or font files you drop in (kept in
`~/.thinkrail/fonts`), with fallback fonts for icon glyphs, a code size, ligatures and a text-weight slider.
<picture>
<source media="(prefers-color-scheme: dark)" srcset=".github/readme-assets/specs-dark.png">
<img src=".github/readme-assets/specs-light.png" alt="The Specs tool, opened from the right edge rail, listing the project's spec tree while the product goal spec is rendered in the editor" width="900">
</picture>
*The project's spec graph as a tree, with the spec itself rendered alongside.*
## Install
ThinkRail ships in two additive forms: a native desktop installer and the self-contained `thinkrail` CLI.
Both are published with `SHA256SUMS` on the [releases page](https://github.com/JetBrains/thinkrail/releases).
### Desktop
Download the `thinkrail-desktop-*` asset for your platform:
- **macOS 14+ (Apple Silicon or Intel)** — open the DMG for your architecture:
`thinkrail-desktop-darwin-arm64.dmg` or `thinkrail-desktop-darwin-x64.dmg`.
- **Windows x64** — extract the complete setup ZIP, then run its setup executable in place, next to its
payload.
- **Linux x64 / ARM64** — extract the setup tarball and run `installer`. Desktop builds need glibc 2.38+
with GTK 3, WebKitGTK 4.1, Ayatana AppIndicator 3, and librsvg 2 — Ubuntu 24.04 or newer:
```bash
sudo apt install libgtk-3-0 libwebkit2gtk-4.1-0 libayatana-appindicator3-1 librsvg2-2
```
Packaged stable and nightly desktop builds check for updates in the background and offer them in
**Settings → Updates**: **Download** → **Preparing update** → **Install & Restart**. Nothing is applied until
you choose **Install & Restart**. ThinkRail then shows the installation's progress and log, closes, and
reopens on the new version. After the restart it tells you whether the update installed. If it didn't, it
explains why and offers to retry. The updater appears only when the package carries a valid HTTPS feed
identity; installations that predate that identity need one manual installation first.
### Command line
The installer downloads the right binary, verifies its SHA-256 checksum, and puts `thinkrail` on your PATH.
**macOS / Linux** (also Windows under Git Bash):
```bash
curl -fsSL https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.sh | bash
```
**Windows** — the same command works from cmd and PowerShell:
```powershell
powershell -c "irm https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.ps1 | iex"
```
Then run `thinkrail`, optionally with a git repo to open as a project:
```bash
thinkrail ~/code/my-repo
```
`thinkrail` needs `git` on your PATH and a model provider — sign in with JetBrains AI from the app or use
your own provider credentials. The first launch walks you through connecting a provider and picking a
project; **Start a new project** creates an empty git repository (under `~/thinkrail` by default), so you
don't need one ready. **Add project → Clone repository…** clones a Git URL into a new folder on the
computer running ThinkRail and opens it as a project. Choose the parent folder and folder name, optionally
limit the history depth, or cancel an in-progress clone. GitHub and other Git hosts work with the host's
existing Git credentials and SSH keys; existing destination folders are never overwritten.
`thinkrail --help` lists the flags; `thinkrail --version` prints the build.
<details>
<summary><strong>Nightly builds, pinned versions, updates, and uninstall</strong></summary>
The installer takes `--channel stable|nightly` and `--version`; a pinned version must belong to the
selected channel:
```bash
curl -fsSL https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.sh | bash -s -- --channel nightly
curl -fsSL https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.sh | bash -s -- --channel stable --version 0.1.2
curl -fsSL https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.sh | bash -s -- --channel nightly --version 0.2.0-nightly.10
```
On Windows the options are environment variables (`THINKRAIL_CHANNEL`, `THINKRAIL_VERSION`,
`THINKRAIL_PREFIX`, `THINKRAIL_NO_MODIFY_PATH`):
```powershell
$env:THINKRAIL_CHANNEL='nightly'; irm https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.ps1 | iex # PowerShell
set "THINKRAIL_CHANNEL=stable" && set "THINKRAIL_VERSION=0.1.2" && powershell -c "irm https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.ps1 | iex" # cmd
```
Installed stable and nightly CLI hosts periodically offer **Run Update** in **Settings → Updates**. It runs
the host machine's `thinkrail update` in the background — also when the UI is open in a browser on another
machine — and a successful update asks you to restart the host manually. You can run `thinkrail update`
directly on any platform: it re-runs the installer for the installed channel and replaces
`<prefix>/bin/thinkrail[.exe]`; pass `--channel` or `--version` only for an explicit override.
`thinkrail uninstall` removes the executable, the PATH entry the installer added, and the install metadata,
and asks whether to delete your `~/.thinkrail` app state (kept by default — `--remove-data` deletes it,
`-y` skips the questions).
Prefer a manual install? Download a binary and `SHA256SUMS` from the releases page and verify the checksum.
For self-update to work, rename it to `thinkrail` (`thinkrail.exe` on Windows) and place it at
`<prefix>/bin/thinkrail[.exe]`; a binary kept under its release filename or elsewhere must be replaced
manually or reinstalled with the script.
</details>
### Platform notes
| Platform | Desktop | CLI |
| --- | --- | --- |
| macOS Apple Silicon / Intel | DMG | signed binary |
| Windows x64 | signed setup executable and app binaries | signed `.exe` |
| Linux x64 / ARM64 | setup tarball, unsigned | unsigned |
JetBrains signs the Windows CLI, the desktop setup executable, and every executable and DLL the desktop app
installs. The macOS CLI is signed but not yet notarized.
Signed and notarized desktop DMGs require the coordinated JetBrains service pipeline; older published DMGs
and locally built packages may still be unsigned and blocked by Gatekeeper. Linux artifacts are unsigned.
## Analytics & privacy
ThinkRail apps collect basic usage events — launches, chat creation, message sends, provider connections — tied to
a random installation ID. Usage analytics never include prompts, code, files, credentials, or account
identity. Error reports are also always sent, tied to the same installation ID, so we can fix crashes: the
error type and code and where in ThinkRail's own code it happened. They never include error messages, file
paths, names, URLs, or anything from your projects or extensions. Additional product
usage and how you found ThinkRail are shared only while **Share additional usage
data** is on; the switch is offered as a step of first-run setup (or right after you skip it) and lives in **Settings → Privacy**. When launching from
the command line, `thinkrail --no-analytics` (or `THINKRAIL_NO_ANALYTICS=1`) turns additional sharing off for
that run. With additional sharing on, a packaged build may open the ThinkRail blog in your browser once to
link your installation to the website visit that brought you here — only where you accepted marketing cookies on the
website or no consent is required — and that link expires after 30 days.
Feedback surveys are separate from usage analytics. ThinkRail may invite you to a short survey, and you can
also open it from **Settings → Feedback**. Your answers, including anything you type, are sent to the
ThinkRail team only when you press **Send**, whatever your analytics settings, and are tied to the same
random installation ID — not to your name or account. Please don't include secrets, code, or personal data;
to have your answers deleted, email info@thinkrail.ai.
The ThinkRail apps and the ThinkRail website ([thinkrail.ai](https://thinkrail.ai)) use PostHog Inc. services for
analytics. The website also uses PostHog Surveys to collect feedback after a desktop download and, only if you
choose to enter one, your email address, which is used to ask for further feedback and to send product updates.
PostHog's privacy policy is at [posthog.com/privacy](https://posthog.com/privacy).
## Under the hood
ThinkRail is a thin host that runs `pi` in-process and bridges it to a rich web UI. `pi` owns models,
skills, compaction, cost, and session state; the app owns the workspace, the editor, and the wire — it
never assembles prompts behind your back. Three rings:
- **Engine host** — `packages/server` (+ `packages/shared`): a `Bun.serve` HTTP+WS host with one in-process
`pi` session per chat, launched by `apps/cli` or `apps/desktop`.
- **The wire** — `packages/contracts`: the typed, versioned protocol between host and UI.
- **UI client** — `apps/web`: React 19 + Zustand + Tailwind v4, shipped independently; it dials a host over
the wire and depends on the contracts only.
[`goal-and-requirements.md`](goal-and-requirements.md) and [`architecture.md`](architecture.md) are the
canonical product and design specs. ThinkRail is developed spec-first: a `SPEC.md` sits beside every
module, and a change that moves a boundary, contract, or decision updates the spec in the same change.
## Developing ThinkRail
You need **Bun** 1.4.4 (the pinned package manager and runtime), **Node.js** ≥ 22.19 (required by the
in-process `pi` engine), and an authenticated `pi` provider for agent work.
```bash
git clone https://github.com/JetBrains/thinkrail.git
cd thinkrail
bun install
bun run dev # host + web client together; Ctrl+C stops both
```
```bash
bun run --filter @thinkrail/cli dev # browser launcher
bun run build:binary # standalone CLI artifact
bun run desktop:dev # package and open the Electrobun app
bun run desktop:build # package without opening it
```
[`CONTRIBUTING.md`](CONTRIBUTING.md) covers the checks, the end-to-end suites, desktop packaging, and the
repository layout.
## Contributing
Contributions are welcome — see [`CONTRIBUTING.md`](CONTRIBUTING.md). This project and community are
governed by the [Code of Conduct](CODE_OF_CONDUCT.md).
## Community
Join us on [Discord](https://thinkrail.ai/discord) to ask questions, share what you're building, and
talk to the team. Bugs and feature requests go to [GitHub issues](https://github.com/JetBrains/thinkrail/issues).
## License
Licensed under the [Apache License 2.0](LICENSE).