OpenClaw Desktop

English | 简体中文

OpenClaw Desktop is a cross-platform desktop workspace for OpenClaw.

It turns a workflow that often starts in terminals, config files, and manual setup into a desktop product that is easier to install, understand, configure, and use every day. Whether you are an individual user, a developer, or a team running long-lived AI agents, OpenClaw Desktop gives you a unified place to manage chat, model providers, skills, automation, and agent operations.

Overview

OpenClaw is powerful, but not everyone wants to begin with CLI commands, environment variables, and hand-edited configuration.

OpenClaw Desktop focuses on these common adoption barriers:

• Setup friction: download and run instead of building an environment from scratch
• Configuration complexity: manage providers, agents, channels, secrets, and tools visually
• Fragmented workflows: keep chat, skills, files, terminal, memory, and analytics in one workspace
• Maintenance overhead: make updates, connectivity, recovery, and diagnostics part of the default experience
• Low first-run success: help users reach a working result faster

Key Features

Out-of-the-box desktop experience

• One-click startup without requiring a manual Node.js installation
• Automatic updates
• Currently ships installers for macOS and Windows
• Better suited for always-available daily use, not just one-off experiments

Workspace built for real usage

• Modern chat interface and multi-page desktop workspace
• Unified access to chat, configuration, skills, files, terminal, and analytics
• Helps turn OpenClaw from "it runs" into "it is usable every day"

Visual OpenClaw configuration

• Manage AI providers, agents, channels, secrets, and tools through the UI
• Reduce direct editing of config files
• Make core setup more approachable for non-engineering users

Skills and extensibility

• Built-in Skills page
• Browse, install, import, and manage skills
• Import local skills
• Discover capabilities from skill directories and skill marketplaces

Automation and multi-agent workflows

• Schedule recurring tasks and automated runs
• Organize multi-agent workflows
• Support long-running and scenario-based agent operations

Desktop-native integration

• Automatic updates
• Tray and system integration
• Local runtime management
• More reliable OpenClaw desktop experience

Typical Use Cases

• Build a personal AI assistant workspace
• Manage multi-agent setups and runtime status
• Install and maintain skill stacks
• Run scheduled tasks and automated workflows
• Review files, logs, terminal output, and analytics
• Use OpenClaw as a desktop control center

Screenshots

The following screenshots are taken from the v0.4.0 release article and show the actual product UI.

Chat and result rendering

File result cards

File management and preview

Provider selection

Tool configuration

Settings and connection details

Installation

Download Releases

For most users, the recommended path is to download a prebuilt installer from GitHub Releases instead of starting from source.

Currently published release packages:

Platform	Recommended package
macOS Apple Silicon	OpenClaw.Desktop-<version>-arm64.dmg
macOS Intel	OpenClaw.Desktop-<version>.dmg
Windows x64	OpenClaw.Desktop.Setup.<version>.exe

Notes:

• Linux builds are not currently published
• macOS users should prefer .dmg
• Windows users should prefer .exe
• .zip files are mainly useful for portable or manual extraction workflows

Start Using It

On first launch, the typical setup flow is:

1. Connect to or initialize OpenClaw Gateway
2. Configure an AI provider
3. Choose a default model
4. Install required skills
5. Create your first agent or start chatting immediately

Quick Start

Development

npm install
npm run bundle:node        # macOS / Linux
npm run bundle:node:win    # Windows
npm run dev

Build

npm run build:mac
npm run build:win
npm run build:linux

Build artifacts are generated in the release/ directory by default.

Compared With A Traditional OpenClaw Workflow

Scenario	Traditional workflow	OpenClaw Desktop
Setup and launch	Prepare environment and commands	Start directly from a desktop app
Provider configuration	Edit config manually	Visual management
Skill management	CLI or manual directory operations	Graphical browsing and management
Feature entry points	Split across CLI, files, and web	Unified in one desktop workspace
Day-to-day usage	Engineering-heavy	Better for regular personal and team use

CI/CD

• Build workflow: build validation and artifact upload without publishing
• Release workflow: publish to GitHub Releases when a v* tag is pushed

Release example:

git tag v1.0.0
git push origin v1.0.0

Documentation

• English docs: docs/README.md
• Chinese docs: docs/README.zh-CN.md
• Build and release configuration: docs/build-release/config-build-release.md
• Open-source readiness checklist: docs/open-source-checklist.md
• FAQ and troubleshooting: docs/support/faq-and-troubleshooting.md
• Contributing guide: CONTRIBUTING.md | Chinese: CONTRIBUTING.zh-CN.md
• Security policy: SECURITY.md | Chinese: SECURITY.zh-CN.md

Acknowledgements

OpenClaw Desktop is inspired by and builds on the work of:

1. OpenClaw: https://github.com/openclaw/openclaw
2. AEGIS Desktop: https://github.com/rshodoskar-star/openclaw-desktop

License

This project is licensed under the MIT License. See LICENSE for details.