{"name":"thinkrail: Build and Manage Coding Work with the pi Agent","description":"ThinkRail is a JetBrains incubator project built around the pi coding agent, with a customizable IDE for working from living project specs. It runs as a desktop app or through a CLI that opens the same interface in a browser.","github":"https://github.com/JetBrains/thinkrail","url":"https://osrepos.com/repo/jetbrains-thinkrail","source":"osrepos.com","sourceDescription":"This repository profile is provided by osrepos.com, an open source repository discovery platform.","repositoryProfile":"https://osrepos.com/repo/jetbrains-thinkrail","generatedFor":"open source discovery and AI-assisted research","markdown":"https://osrepos.com/repo/jetbrains-thinkrail.md","json":"https://osrepos.com/repo/jetbrains-thinkrail.json","topics":["typescript","ai-agents","developer-tools","desktop-app","coding-agent","spec-driven-development","git-worktrees"],"keywords":["typescript","ai-agents","developer-tools","desktop-app","coding-agent","spec-driven-development","git-worktrees"],"stars":null,"summary":"ThinkRail is a JetBrains incubator project built around the pi coding agent, with a customizable IDE for working from living project specs. It runs as a desktop app or through a CLI that opens the same interface in a browser.","content":"## Overview\n\nThinkRail is an agentic IDE built around the pi coding agent. It gives the agent durable project knowledge through living specs and reusable skills, while providing an IDE interface for editing, reviewing changes, and managing isolated workspaces. The aim is to make agent work fit a project's ongoing development rather than treating each chat as a separate task.\n\nIt is available as a native desktop app or a CLI that opens the app in a browser. Developers can connect a model provider, open a repository, and use separate Git worktrees to keep parallel agent tasks isolated from their main checkout.\n\n## Key Features\n\n- Creates isolated Git worktree workspaces, each with its own branch, or attaches existing worktrees.\n- Provides a workbench with Monaco editor tabs, file and change views, terminals, and review comments.\n- Runs multiple pi sessions per workspace, with model and cost information, queued follow-ups, subagents, and editable plans.\n- Maintains connected `SPEC.md` files through dedicated tools so project intent can persist across sessions.\n- Reads portable Agent Skills and includes workflows for setup, design brainstorming, and shipping pull requests.\n- Supports GitHub pull request actions and displays CI checks and review status for open PRs.\n- Connects MCP servers and pi packages, with controls for server approval and enabling extensions, skills, and built-in tools.\n- Supports custom OpenAI-compatible model servers, in addition to provider credentials handled through pi.\n\n## Use Cases\n\n- A developer wants to delegate parallel coding tasks without having agents modify the same checkout.\n- A team wants project requirements and design intent available to an agent across sessions, using living specs.\n- A developer reviewing agent changes wants to inspect diffs, leave comments, and manage a related pull request in one workbench.\n- A pi user wants an IDE interface for existing projects, skills, and provider configuration rather than using pi only in a terminal.\n\n## Our Take\n\nThinkRail is a fast-moving, early-stage IDE for developers who want pi-based agent work organized around specs, worktrees, and code review.\n\n**Good fit if:**\n- You want an IDE built around the pi coding agent and are comfortable connecting your own model provider.\n- Your work benefits from isolated Git worktrees, persistent project specs, and integrated pull request workflows.\n- You can accommodate its Node.js-based agent engine and Git requirement, and want a desktop app or browser interface.\n\n**Look elsewhere if:**\n- You need a mature, slowly changing product: the project is under six months old and is changing quickly.\n- Your team requires an agent IDE that does not depend on pi or its configuration and provider ecosystem.\n- You want to avoid analytics and error reporting entirely; ThinkRail documents its collection practices and controls for additional usage sharing, but says error reports are always sent.\n\n## Project Health\n\n| Signal | Value |\n|---|---|\n| Status | **New**: less than six months old and changing fast |\n| Last commit | 2026-11-05 (today) |\n| Commits, last 90 days | 100+ |\n| Releases, last 12 months | 100+ (latest v0.4.0-nightly.5, 2026-11-05, pre-release) |\n| Contributors | 43 (top contributor: 41% of commits) |\n| Issues closed, last 90 days | 10+ (typically closed in 1 day) |\n| Pull requests merged, last 90 days | 83 (typically merged in 1 day) |\n| Project age | 4 months |\n\nChecked on 2026-11-06 with the GitHub API.\n\n## Project Facts\n\n- Language: TypeScript\n- License: Apache-2.0\n- Stars: 7.8k\n- Forks: 474\n- Topics: agent, agent-skills, agentic-ai, agentic-workflow, ai-coding, ai-tools, pi-agent, pi-agent-extension\n- Website: https://thinkrail.ai/\n- Archived: no\n\n## What You Need\n\nDetected in the repository:\n\n- Node.js (from package.json)\n- A test suite and automated checks on GitHub Actions\n\n## Getting Started\n\nInstall the CLI on macOS or Linux, then open a repository:\n\n```bash\ncurl -fsSL https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.sh | bash\nthinkrail ~/code/my-repo\n```\n\nThe CLI requires Git and a model provider. See the [README](https://github.com/JetBrains/thinkrail#readme) for desktop installation, Windows instructions, provider setup, and development details.\n\n## License in Plain Words\n\n**Apache-2.0** (permissive).\n\n- Commercial use: yes\n- Modify and redistribute: yes\n- You must keep: the license, the NOTICE file and a note of your changes\n- Share your changes: no\n- Includes an explicit patent grant from the contributors\n\nA summary, not legal advice: the LICENSE file is what applies.\n\n## Alternatives\n\n- [gsd-pi](https://osrepos.com/repo/open-gsd-gsd-pi): GSD Pi is a CLI agent with milestone workflows and worktree automation, while ThinkRail centers on a customizable IDE for living project specs.\n\n| Project | Language | License | Stars | Status |\n|---|---|---|---|---|\n| **thinkrail** | TypeScript | Apache-2.0 | 7.8k | New |\n| [gsd-pi](https://osrepos.com/repo/open-gsd-gsd-pi) | TypeScript | MIT | 1.3k | New |\n\n## Considerations\n\nThinkRail is a young project, although it is actively changing, with recent commits and releases and contributions from dozens of contributors. Its recent pace and early maturity mean interfaces and behavior may continue to evolve. The agent engine requires Node.js 22.19 or newer; building the project also requires Bun. Using the CLI requires Git and a configured model provider. The repository is licensed under Apache-2.0. The README also describes installation differences and signing status across operating systems, and documents analytics and error reporting practices.","metrics":{"detailViews":4,"githubClicks":0},"dates":{"published":null,"modified":"2026-11-06T02:09:29.000Z"}}