🦞 OpenClaw Manager

One-click installer & management GUI for OpenClaw — the open-source AI assistant framework.

Built with Tauri 2.0 + React 18 + TypeScript + Rust for native performance on every desktop platform.

---

✨ Features & Usage Guide

🚀 One-Click Setup Wizard

Skip the terminal entirely. The built-in setup wizard automatically detects your environment, installs Node.js and OpenClaw, and initializes everything — all from the GUI.

How to Use:

1. Launch OpenClaw Manager.
2. If prerequisites are missing, the Setup Wizard will appear.
3. Click Install Prerequisites to automatically install Node.js (via NVM) and Git.
4. Click Install OpenClaw to clone and set up the core framework.
5. Follow the guided steps until the dashboard appears.

📊 Dashboard & Service Control

Real-time monitoring and full lifecycle management of the OpenClaw service.

Features:

• Live service status (port, PID, memory usage, uptime)
• Start / Stop / Restart / Kill All actions
• Real-time log viewer with auto-refresh
• Web Control UI: Direct chat interface with your agents (served at http://localhost:18789)

How to Use:

• Start Service: Click the Start button in the dashboard top-right corner.
• View Logs: Check the "Live Logs" card for immediate output or go to the Logs tab for history.
• Control UI: Once the service is running, open http://localhost:18789 to chat with your agents directly.
• System Check: Use the "System Requirements" card to verify your environment health.

🤖 AI Model Configuration

Flexible multi-provider AI configuration. Connect to the most powerful models or run local LLMs.

Supported Providers:

• Google Gemini (New! ✨): Gemini 3 Pro, Gemini 3 Flash
• Anthropic: Claude 3.5 Sonnet, Opus
• OpenAI: GPT-4o, GPT-4o-mini
• DeepSeek: DeepSeek V3, R1
• Moonshot, Z.AI (GLM), Qwen, MiniMax, Venice, OpenRouter
• Ollama: Local model support
• Custom: Connect to any OpenAI-compatible endpoint

How to Use:

1. Go to Settings > AI Config.
2. Click Add AI Provider.
3. Select a provider (e.g., Google Gemini) or choose Custom.
4. Enter your API Key (optional for Ollama).
5. Select your preferred models (recommended models are pre-selected).
6. Click Save.
7. (Optional) Set a model as Primary to be used as the default for all agents.

🧩 MCP Management

Full Model Context Protocol server management with integrated mcporter support.

How to Use:

1. Go to the MCP tab.
2. Click Add MCP Server.
3. Choose Stdio (local command) or SSE (remote URL).
4. Enter the command/URL and arguments.
5. Toggle the switch to Enable.
6. Changes are automatically synced to ~/.mcporter/mcporter.json for OpenClaw to use.

📚 Skills Management

Browse, install, and manage OpenClaw skills via ClawHub.

How to Use:

1. Go to the Skills tab.
2. Browse the registry for available skills (e.g., specialized coding, research, or creative writing skills).
3. Click Install on a skill card to add it to your OpenClaw instance.
4. Installed skills are immediately available to your agents.

📱 Message Channels

Connect OpenClaw to multiple messaging platforms for omnichannel AI.

Supported Channels:

• Telegram, Feishu, Discord, Slack, WhatsApp, + more via plugins.

How to Use (Telegram Example):

1. Go to Settings > Channels.
2. Select Telegram.
3. Enter your Bot Token (from BotFather).
4. Configure Allowed Groups and Allowed Users for security.
5. Enable the channel and click Save.

🤖 Multi-Agent Routing

Run multiple specialized AI agents with intelligent message routing and nested subagent orchestration.

Features:

• Agent Creation: Create specialized agents (e.g., Coder, Researcher).
• Subagents: Nest agents to create complex workflows.
• Personality Editor: Edit SOUL.md directly in the app.

How to Use:

1. Go to Settings > Agents.
2. Click Create Agent.
3. Choose a template or start from blank.
4. Define the agent's Personality in the built-in editor.
5. Configure Subagents if this agent needs to delegate tasks.
6. Use the Routing Test tool to verify which agent handles specific user queries.

📋 Application Logs

Built-in structured log viewer.

How to Use:

1. Go to the Logs tab.
2. Use the filters to show only Error or Warning logs.
3. Click on a log entry to expand details.
4. Use Export Logs to save them for troubleshooting/reporting issues.

🔄 Auto-Update

Automatic update detection for OpenClaw.

How to Use:

• When a new version is available, a banner will appear at the top of the app.
• Click Update Now to automatically download and install the latest version.

---

📁 Project Structure

openclaw-manager/
├── src-tauri/                 # Rust Backend
│   ├── src/
│   │   ├── main.rs            # Entry point
│   │   ├── commands/          # Backend logic (config, install, service, etc.)
│   │   ├── models/            # Data structures
│   │   └── utils/             # Helpers
│   ├── Cargo.toml
│   └── tauri.conf.json
│
├── src/                       # React Frontend
│   ├── components/            # UI Components (Dashboard, Settings, specific features)
│   ├── hooks/                 # Custom Hooks
│   ├── lib/                   # API bindings
│   ├── stores/                # State management (Zustand)
│   └── styles/                # Tailwind CSS
│
├── package.json
└── vite.config.ts

---

🛠️ Tech Stack

Layer	Technology	Purpose
Frontend	React 18	UI framework
State	Zustand	Lightweight reactive state
Styling	TailwindCSS	Utility-first CSS
Animation	Framer Motion	Smooth transitions & micro-interactions
Backend	Rust	High-performance system operations
Desktop	Tauri 2.0	Native cross-platform shell

---

🚀 Quick Start (Development)

Prerequisites

Tool	Version	Download
Node.js	>= 18.0	nodejs.org
Rust	>= 1.70	rustup.rs
pnpm or npm	Latest	Comes with Node.js

Clone & Run

git clone https://github.com/MrFadiAi/openclaw-one-click-installer.git
cd openclaw-one-click-installer

npm install          # Install dependencies
npm run tauri:dev    # Launch in development mode (hot-reload)

Note: First build compiles all Rust dependencies and takes 3–5 minutes. Subsequent runs are much faster.

Build Release

npm run tauri:build

Output in src-tauri/target/release/bundle/:

Platform	Formats
macOS	.dmg, .app
Windows	.msi, .exe
Linux	.deb, .AppImage

---

🤝 Contributing

1. Fork the project
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

---

📄 License

MIT License — See LICENSE for details.

---

Made with ❤️ by the OpenClaw Community