GitHub - liuxiaopai-ai/ralph-desktop: Ralph Desktop - Start vague. Ralph Loop until perfect. A visual controller for AI coding agents that helps you brainstorm requirements and execute tasks through persistent iteration.

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Ralph Desktop

Start vague. Ralph Loop until perfect.

A visual controller for AI coding agents that helps you brainstorm requirements and execute tasks through persistent iteration.

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Why Ralph Desktop?

The Problem

Using AI coding agents like Claude Code or Codex can be frustrating:

Pain Point What Happens
"I don't know how to write prompts" You give vague instructions, AI produces garbage
"AI runs once and stops" You manually retry over and over, hoping for better results
"Setting up Ralph Loop is hard" The methodology exists, but configuring bash while loops and managing state is tedious for newcomers

The Solution

Ralph Desktop solves all three:

  1. AI Brainstorm — Don't write prompts. Just describe your vague idea, and AI will interview you to clarify requirements and generate a high-quality prompt automatically.

  2. Ralph Loop Execution — One click to start, then AI iterates autonomously until the task is complete or hits your configured limit.

  3. Visual Control — Real-time logs, pause/resume/stop anytime. You're always in control.


What is Ralph Loop?

Ralph Loop is an AI coding methodology introduced by Geoffrey Huntley. Named after Ralph Wiggum from The Simpsons — a character who seems simple but persists relentlessly — the approach embodies "brute-force elegance."

How It Works

Instead of running an AI agent once and hoping for the best, Ralph Loop:

  1. Iterates continuously — The AI executes, reviews its own output, fixes mistakes, and repeats
  2. Uses fresh context each iteration — Avoids "context rot" by treating each loop as a new conversation with the spec as source of truth
  3. Stops on completion signal — Detects when the task is truly done (via <done>COMPLETE</done> or similar markers)

Why It's Effective

  • Quantity breeds quality — Like Monte Carlo tree search, many attempts find better solutions
  • Self-correction — AI catches and fixes its own errors over multiple passes
  • Works for complex tasks — Breaks down large problems that exceed a single context window

"Dumb loop. Smart results."


How It Works

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│   1. DESCRIBE   │ ──▶ │  2. BRAINSTORM  │ ──▶ │    3. LOOP      │ ──▶ │   4. CONTROL    │
│                 │     │                 │     │                 │     │                 │
│  "I want to     │     │  AI asks smart  │     │  AI executes    │     │  Watch logs,    │
│   build a..."   │     │  questions,     │     │  repeatedly     │     │  pause/resume,  │
│                 │     │  generates      │     │  until done     │     │  stop anytime   │
│                 │     │  perfect prompt │     │                 │     │                 │
└─────────────────┘     └─────────────────┘     └─────────────────┘     └─────────────────┘
  1. Describe — Start with a vague idea. No need for perfect prompts.
  2. Brainstorm — AI interviews you through Socratic dialogue, then generates a detailed task specification.
  3. Loop — Click "Start" and Ralph Loop takes over, iterating until the task is complete.
  4. Control — Monitor progress in real-time. Pause, resume, or stop at any point.

Features

  • AI Brainstorm — Conversational requirement gathering with automatic prompt generation
  • Ralph Loop Engine — Persistent iteration with completion detection
  • Multi-CLI Support — Works with Claude Code, Codex, and OpenCode
  • Zero Config — If any supported CLI already works in your terminal (official login or custom API), Ralph Desktop automatically reuses it
  • Visual Dashboard — Real-time logs with ANSI color support
  • Execution Control — Pause / Resume / Stop at any time
  • Project Management — Create, switch, and manage multiple projects
  • Task Recovery — Detect and resume interrupted tasks
  • Keyboard Shortcuts — Cmd+N (new project), Cmd+, (settings), Cmd+? (help)
  • Theme Support — Light / Dark / System
  • Multi-language UI — 12 languages supported (see below)

Supported CLIs

Ralph Desktop works with any AI coding CLI that supports headless execution:

CLI Status Installation
Claude Code ✅ Supported npm install -g @anthropic-ai/claude-code
Codex ✅ Supported npm install -g @openai/codex
OpenCode ✅ Supported npm install -g opencode-ai

Prerequisites: You must have at least one of the above CLIs installed before using Ralph Desktop. If it already works in your terminal, Ralph Desktop will reuse its existing config automatically.


Supported Languages

Ralph Desktop supports 12 languages out of the box:

Language Code Language Code
English en Português pt
简体中文 zh-CN Русский ru
繁體中文 zh-TW 日本語 ja
Español es Deutsch de
हिन्दी hi Français fr
العربية ar বাংলা bn

Change language in Settings (Cmd+,). The AI Brainstorm conversation automatically adapts to your language.


Installation

Download the latest release for your platform:

Platform Download
macOS (Intel / Apple Silicon) .dmg
Windows 10/11 (64-bit) .exe
Linux (x86_64) .AppImage

Note: The app is not code-signed. On macOS, right-click the app and select "Open", or go to System Settings → Privacy & Security → Open Anyway. On Windows, click "More info" → "Run anyway" when SmartScreen appears.

Linux AppImage (first run):

chmod +x Ralph.Desktop_*.AppImage
./Ralph.Desktop_*.AppImage

Quick Start

  1. Install a CLI — Make sure you have Claude Code, Codex, or OpenCode installed
  2. Download Ralph Desktop — Get the installer for your platform
  3. Create a Project — Click "New Project" (Cmd+N) and select a working directory
  4. Brainstorm — Describe what you want to build, let AI help you clarify
  5. Start Loop — Click "Start Execution" and watch the magic happen

Development

Prerequisites

  • Node.js 20+
  • pnpm
  • Rust 1.70+
  • Tauri CLI

Setup

# Install dependencies
pnpm install

# Run in development mode
pnpm tauri dev

# Build for production
pnpm tauri build

Tech Stack

  • Frontend: Svelte 5 + TypeScript + Tailwind CSS 4
  • Backend: Rust + Tauri 2.x
  • Build: Vite + Cargo

Data Storage

Application data is stored at:

Platform Path
macOS ~/Library/Application Support/com.ralph.desktop/
Windows %APPDATA%/com.ralph.desktop/
Linux ~/.config/com.ralph.desktop/

Credits


License

MIT