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Worktrunk is a command-line interface designed to simplify git worktree management, making it easier to run multiple AI agents in parallel. It offers streamlined commands for switching, creating, and managing worktrees, along with automation features like hooks and LLM-generated commit messages. The tool addresses usability issues in git's native worktree feature.
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Worktrunk is a command-line interface (CLI) tool designed to simplify git worktree management, particularly for running AI agents in parallel. Released in February 2026, it has gained traction among developers due to its user-friendly features that streamline the process of managing multiple worktrees. The tool allows for quick switching, creation, and cleanup of worktrees, which are essential for isolating changes when working on different features. For instance, commands like `wt switch -c -x claude feat` create a new branch and worktree while launching an AI agent like Claude simultaneously.
The author, with a solid track record of open-source projects (including PRQL with 10,000 stars), emphasizes the importance of user feedback to enhance Worktrunk. Despite its advantages, the native git worktree experience can be cumbersome; users often need to type lengthy commands multiple times. Worktrunk addresses this by offering a more efficient command structure, automating routine tasks, and providing hooks for workflow automation. Advanced features include generating commit messages from diffs and merging workflows that allow for squashing, rebasing, and cleaning up in a single command.
Installation is straightforward across various platforms, including macOS, Linux, and Windows. Users can install it via Homebrew, Cargo, or Winget, among other methods. Once set up, Worktrunk facilitates the management of multiple AI agents, making it possible to run several tasks concurrently without conflicts. Commands for listing worktrees and viewing their statuses keep developers informed about their ongoing work. Overall, Worktrunk aims to make the development process more efficient, particularly for those leveraging AI in their workflows.
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