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Run AI coding agents in parallel, each in its own git worktree. Desktop app for Linux, macOS and Windows (Tauri + Rust).
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GPL-3.0 desktop app for Linux, macOS and Windows that gives every coding-agent task its own git worktree and its own terminal, with live diffs and optional Jev review of changed files.
User repository on GitHub
Run AI coding agents in parallel, each in its own git worktree. Desktop app for Linux, macOS and Windows (Tauri + Rust).
Repo stats from the GitHub API, cached Oct 2026.Homepage
Yardsort Run AI coding agents in parallel — each on its own track. Yardsort is an open-source desktop app for Linux, macOS and Windows. Every task gets its own git worktree and its own terminal, running the coding agent of your choice. yardsort.sh · Download · Quick start · Documentation · Contributing · Contact. A sorting yard is where rail cars are sorted onto parallel tracks and later joined back into one train. That is the job: fan work out onto parallel branches, then merge it back.
Quoted from the project's README. Read the full README.
Watch out
GPL-3.0, and our README copy is cut off inside the scriptable-tools bullet, so the ys CLI surface, install steps, system requirements and the dedicated Assist page are not documented in what we read. Cross-platform support is stated as a requirement rather than a measurement: Linux, macOS and Windows are described as first-class and built and tested together on every change. Assist is off unless you bring your own TypeSafe API key, and the README publishes no accuracy or false-positive figures for the badges it produces. Network use is limited to a version check you can switch off, plus Jev calls only when Assist is on with your key; agents still use their own logins, and the GitHub integration goes through the gh CLI, so Yardsort holds no forge credential of its own. The activity record only notes when each agent started in a workspace and how it ended, and it never reads a word the agent printed; attributing a changed file is an inference from the agent reporting it, from a command that was running when it was last written, or from nobody the record knows. The Pull requests and Tasks panels are GitHub-shaped and everything goes through gh; without gh your browser opens the forge's own form, on GitHub, GitLab, Bitbucket or Gitea alike. Cost figures are labelled estimates, and the Codex plan limits shown are that agent's last reported values. Project memory is gated on your approval: agents propose lessons and only what you approve reaches an agent. Outcomes are your own words, with a merged pull request counting as kept until you say otherwise. The author positions this against Conductor and Superset, naming cross-platform support as the thing they do not meet. Copy reviewed against the repository README on 2026-10-04, not from running it.
Posts from builders shipping with Jev right now.