LingXizhiIDE
中 / ENGet Started
Docs
Getting Started / Installation & Download

Installation & Download

LingXizhi IDE supports Windows, macOS and Linux. The built-in Rust kernel updates automatically with the main app. From download to your first AI conversation, the whole process takes no more than 5 minutes.

✦

System requirements: Windows 10+ (x64) / macOS 12+ / Ubuntu 20.04+; RAM ≥ 8GB, disk ≥ 500MB.

Download the Installer

Go to the download page and pick the package for your platform:

  • Windows: .exe installer (x64)
  • macOS: .dmg image, available for Apple Silicon and Intel
  • Linux: .AppImage and .deb packages

You can also download from the terminal (Linux example):

AppImageDebian / Ubuntu
# Download the latest AppImage
curl -LO https://lingxizhi.dev/download/latest/lxz.AppImage
chmod +x lxz.AppImage

Install

1

Windows: double-click the installer and follow the wizard; a desktop shortcut is created when finished.

2

macOS: open the .dmg image and drag LingXizhi into the Applications folder.

3

Linux: make the AppImage executable and run it directly, or install the deb package with sudo dpkg -i lxz.deb.

On first launch after installation, the built-in Rust kernel checks for and applies updates automatically, usually within 30 seconds.

First Launch & Sign-in

  1. Launch LingXizhi IDE and click "Log in" on the welcome page — the login page opens in your browser.
  2. Register or log in with your email; you are redirected back to the IDE after authorization.
  3. Choose a default model in "Settings → Models": 15+ natively supported models including Kimi K3, GLM-5.2 and DeepSeek-V4 — or bind your own API key.

Import VS Code Settings

A migration wizard pops up on first launch, importing keyboard shortcuts, themes, settings and common plugin configurations from VS Code / Cursor:

  • Click "Import from VS Code" on the welcome page and select what to migrate.
  • You can re-run the wizard anytime later in "Settings → Migration".

Once migrated, you are ready to code — press Ctrl + Shift + R to start your first RUSH deep task. See the features page for details.