JetBrains

    JetBrains/thinkrail

    ThinkRail is the agentic IDE that gets better every time you use it

    7.9K stars
    482 forks
    23 GitHub watchers
    Updated Nov 7, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest today, with 43 contributors on GitHub.

    The biggest single-day gain in the last year, +1,158 stars on Oct 27, coincided with release v0.3.0-nightly.7.

    Use Cases & Benefits

    • Provides an AI-powered IDE that adapts to your workflow by learning project specs and managing isolated git workspaces.
    • Enables parallel agent-driven development with durable project knowledge and integrated GitHub PR management in a real IDE.
    • Use for managing multiple feature branches safely with isolated git worktrees and agent-assisted code generation.
    • Use for maintaining living project specifications that the AI agent reads, updates, and uses as ground truth.
    • Use for integrating AI coding agents with customizable skills and workflows to automate design, coding, and PR processes.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    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 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.

    ⭐ If you find ThinkRail useful, give it a star — it helps others discover it.

    A pi session and the change it made, scoped to an isolated git-worktree workspace.

    The project's spec graph as a tree, with the spec itself rendered alongside.

    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.

    Excerpt from the JetBrains/thinkrail README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Oct 27: +1,158Oct 28: +1,095Oct 29: +1,049Oct 30: +960Oct 31: +569Nov 1: +235Nov 2: +155Nov 3: +212Nov 4: +227Nov 5: +191Nov 6: +166Nov 7: +106

    +6,123 stars over 12 days across 13 snapshot days; best day +1,158 on Oct 27.

    Forks

    482+380

    Open issues

    357+156

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    JetBrains/thinkrail compared with AI Agents repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
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    vercel-labs/agent-desktop21.4K+8.7K755 days ago
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    stablyai/orca121.4K+6.7K75today
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    JetBrains/thinkrail7.9K—45today
    Category median115.8K+8.4K75—

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