autowt: Streamlining Your Git Worktree Management
This repository profile is provided by osrepos.com, an open source repository discovery platform.

Summary
autowt is a Python-based command-line tool designed to significantly improve the Git worktree experience. It automates common workflows like creating, switching, and cleaning up worktrees, making parallel development and branch management much more efficient. This tool integrates with your terminal and offers deep customization through lifecycle hooks for tailored automation.
Repository Information
Topics
Click on any tag to explore related repositories
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
autowt is an open-source command-line tool that enhances the native Git worktree feature, providing a more ergonomic and automated experience. Git worktrees allow developers to have multiple working directories linked to the same repository, sharing history and making it easy to switch between branches or tasks without stashing changes. While powerful, Git's built-in worktree commands can be verbose for common operations. autowt simplifies these tasks, offering a streamlined approach to managing your development environment.
Installation
autowt requires Python 3.10+ and Git 2.5+. Installation is straightforward using pip.
pip install autowt
Examples
autowt drastically simplifies common worktree operations. Instead of multiple steps to create a new worktree, set up dependencies, and copy configurations, autowt condenses it into a single command.
To create a new worktree for a branch:
autowt <branch>
For example, to create a worktree for my-new-feature:
autowt my-new-feature
This command will create the worktree and can even open it in a new terminal tab or window, thanks to its integration with tools like iTerm2, tmux, and Ghostty.
Cleaning up merged or closed PR branches is also simplified:
autowt cleanup
autowt also supports custom commands, allowing integration with issue trackers or other tools. For instance, you could configure it to open worktrees based on issue IDs:
autowt linear ABC-1234
Why use autowt
autowt offers several compelling reasons to integrate it into your Git workflow:
- Worktree Ergonomics: It shortens common worktree commands and integrates with your terminal program to automate opening new sessions, supporting various terminal emulators.
- Deep, Customizable Automation: Define scripts in
.autowt.tomlto run at various points in the worktree lifecycle, such as after creation or before cleanup, enabling highly tailored workflows. - Smart Cleanup: Configure
autowtto automatically remove worktrees whose branches have been merged or are associated with closed pull requests on GitHub. - Friendly TUIs:
autowtuses interactive terminal-based UIs for tasks like configuring global settings (autowt config) or switching between existing worktrees (autowt switch).
Links
For more information, examples, and detailed documentation, please refer to the official resources:
Related repositories
Similar repositories that may be relevant next.

Ragas: Supercharge Your LLM Application Evaluations
August 9, 2026
Ragas is an ultimate toolkit for evaluating and optimizing Large Language Model (LLM) applications. It offers objective metrics, intelligent test generation, and data-driven insights to move beyond subjective assessments. This framework helps developers build feedback loops and continuously improve their LLM applications.

awesome-cli-coding-agents: A Curated Directory of Terminal-Native AI Tools
August 9, 2026
The `awesome-cli-coding-agents` repository offers a comprehensive, curated directory of over 100 terminal-native AI coding agents. These powerful tools operate directly within your command line, enabling autonomous code reading, editing, and execution. The list also covers various harnesses and orchestration solutions for managing these agents.

QwenPaw: Your Personal AI Assistant for Local and Cloud Deployment
August 7, 2026
QwenPaw is a powerful personal AI assistant designed for easy installation and deployment, either on your local machine or in the cloud. It supports multiple chat applications and offers highly extensible capabilities, making it a versatile tool for various AI-driven tasks. With its robust memory system and security features, QwenPaw aims to be an intuitive and private partner in your digital life.

DeepTutor: Lifelong Personalized Tutoring with AI Agents
August 7, 2026
DeepTutor is an advanced AI-powered platform designed for lifelong personalized tutoring, integrating various learning modes into a single, extensible system. It leverages large language models and multi-agent systems to offer features like interactive chat, quiz generation, and skill development. This project provides a comprehensive environment for learners and educators seeking intelligent, adaptive educational tools.
Source repository
Open the original repository on GitHub.
16 counted GitHub visits