A hyper-lightweight, minimalist Markdown editor built for speed and focus. MD-Lite provides a seamless WYSIWYG experience while maintaining the simplicity of plain text. Refactored for scalability with a robust core architecture and industry-standard test coverage.

The current version includes:

• WYSIWYG Markdown Editing: Real-time formatting without the need for a separate preview pane—write and format in one place.
• Command Palette (⌘K): Quickly search through commands, format text, and navigate the app without touching the mouse.
• Focus & Typewriter Mode (⌘⇧F): Distraction-free writing that hides the UI and keeps your cursor vertically centered.
• Auto-Save & Shadow Recovery: Integrated background saving with a recovery banner to restore unsaved session data if the app closes unexpectedly.
• Native macOS Integration: Traffic light support, native file dialogs, and deep macOS menu bar integration.
• Advanced Media Support: Render local file system images (via Tauri) and web images directly in-line; automatic markdown link parsing.
• Inline Renaming: Double-click the file name in the custom title bar to rename files instantly.
• Rich Text Engine: Full support for bold, italic, code blocks, syntax highlighting, task lists, and tables.
• Recent Files Management: Dynamic sidebar and "Open Recent" menu to quickly resume previous drafts.

• Framework: Tauri v2 (Rust-based backend)
• Frontend: Svelte 5 (Rune-based state management)
• Styling: Tailwind CSS v4 & Vanilla CSS
• Editor Engine: Tiptap
• Testing: Vitest (90%+ Frontend Coverage) & Rust cargo test (Backend Coverage)
• Language: TypeScript & Rust

• Rust
• Node.js (v18 or later)
• pnpm (or your preferred package manager)

1. Clone the repository:

   git clone git@github.com:harun-alrosyid/md-lite.git
   cd md-lite

2. Install dependencies:

   npm install

3. Run in development mode:

   npm run tauri dev

To build the production-ready application:

npm run tauri build

We welcome contributions! Please see our CONTRIBUTING.md for guidelines on how to get involved.

This project is licensed under the MIT License - see the LICENSE file for details.