OpenClaw: The Open-Source AI Assistant Revolutionizing Task Automation

1. What is OpenClaw?

1.1 Project Origin and Development History

OpenClaw was initiated in November 2025 by Peter Steinberger, a senior Austrian developer and founder of PSPDFKit. It was originally released under the name Clawdbot , with the core intention of building a local AI assistant that can truly execute tasks, rather than just a simple chatbot.

The project's development went through key iterations:

• November 2025: The first version, Clawdbot, was released and quickly became popular in the geek community.
• January 2026: Briefly renamed to Moltbot due to trademark issues (symbolizing a lobster "molting" and being reborn).
• January 30, 2026: Officially named OpenClaw , clarifying its open-source and neutral positioning.
• February 2026: Shifted to independent foundation operation, GitHub Stars exceeded 200,000, becoming a top-tier global AI Agent project.

1.2 Core Positioning and Core Advantages

OpenClaw is a completely open-source, model-agnostic, local-first AI agent execution gateway . Its core positioning can be summarized in one sentence: Command devices with natural language, and let AI perform real operations for you .

The essential differences from traditional chat AI:

Its core advantages:

1. Model-agnostic : Compatible with mainstream large models at home and abroad such as Claude, GPT, Gemini, Qwen, DeepSeek, Kimi, etc. It also supports Ollama local models, allowing free switching or even mixing.
2. Zero-barrier to start : No programming background required, one-click script deployment, and automation tasks can be defined using natural language.
3. Extreme expansibility : The official ClawHub skill market has over 13,000 community-contributed skill packages covering almost all scenarios such as office, development, and life. They can be installed on demand or custom developed.
4. Cross-platform adaptation : Supports Windows, macOS, and Linux systems. It can run on local computers, lightweight servers, and embedded devices.
5. Multi-channel unification : Supports sending and receiving commands across 50+ platforms like WeChat, Telegram, WhatsApp, Feishu, and Slack, ensuring tasks are not interrupted across devices and sessions.

1.3 Core Architecture and Working Principle

OpenClaw itself does not train large models. Its core is a central bridge connecting the reasoning capabilities of large models, user chat portals, and local system execution capabilities . The core consists of four major modules:

1. Gateway : The neural center of the system, responsible for the unified management of message routing, model scheduling, and tool invocation. It also connects with various communication and office platforms, reusing WebSocket+HTTP protocols on a single port.
2. Agent : The decision-making core of the system. Connected to large language models, it is responsible for understanding user intentions, breaking down task steps, planning execution paths, and handling complex contexts. It supports multi-agent parallel collaboration.
3. Skills : The "hands" for AI to execute tasks. Modular capability extension units that can be defined through standardized natural language documents without complex code development.
4. Memory : A persistent context storage system using a combination of vector indexing + full-text search + Markdown files. It can remember user preferences, task history, and maintain context continuity across sessions.

1.4 Typical Use Cases

• Office Automation : Automatically summarize emails, organize meeting minutes, batch process Excel data, generate weekly reports, and send scheduled notifications.
• Development Efficiency : Automatically pull code, execute build and deployment, monitor server status, handle log alerts, and write and debug code snippets.
• Life Efficiency : Automatically organize download folders, schedule file backups, track express logistics, generate travel guides, and book itineraries.
• Content Creation : Automatically track internet hotspots, generate topic proposals, distribute content across multiple platforms, and analyze data reviews.

2. Pre-deployment Preparation

2.1 System and Hardware Requirements

The official minimum configuration requirements are as follows. For personal use, it is recommended to exceed the minimum standards for smoother operation:

2.2 Core Dependencies Preparation

The core runtime dependency for OpenClaw is Node.js 22 or above LTS version . Some skills require Python 3.10+, and source code compilation requires Git.

Advice for beginners: There is no need to manually install Node.js in advance. The official one-click script will automatically detect and install the matching Node.js version to avoid version conflicts.

2.3 Prerequisites

1. Large Model API Key : OpenClaw itself does not include a large model and needs to connect to third-party models to run. Register on the corresponding platform in advance and generate an API Key. Recommended choices:
   • Domestic (China) users: Alibaba Bailian, DeepSeek, Kimi, Qwen (free quotas for new users)
   • Overseas users: Anthropic Claude, OpenAI GPT, Google Gemini
2. Administrator Permissions : Windows requires running PowerShell as an administrator. macOS/Linux requires sudo permissions to ensure scripts can install dependencies normally.
3. Path Requirements : All installation and workspace paths must be entirely in English to prevent installation or runtime failures caused by Chinese characters, spaces, or special characters.

3. Detailed Steps for Cross-Platform Local Deployment

This article provides 4 deployment methods. Beginners should prioritize the official one-click script deployment . Advanced users can choose package managers, source code compilation, or Docker deployment based on their needs.

Method 1: Official One-Click Script Deployment (Preferred for beginners, universal across platforms)

This is the minimalist deployment method recommended officially. The script will automatically detect the system environment, install corresponding dependencies, and complete the core program deployment without any manual configuration. Just copy and run one line of command.

1. Windows Deployment Steps

1. Right-click the Start menu, select Windows PowerShell (Admin) or Terminal (Admin) to open a command-line window with administrator privileges.
2. (Optional) Unlock script execution permissions to avoid system blocking:

Set-ExecutionPolicy RemoteSigned -Scope CurrentUser

3. Copy the official one-click installation command, paste it into the terminal, and press Enter to execute:

iwr -useb https://openclaw.ai/install.ps1 | iex

4. Wait for the script execution to complete. A installation successful prompt indicates successful installation.

Note: For Windows systems, it is officially recommended to run in the WSL2 environment for better performance and compatibility. First, execute wsl --install to install WSL2, then execute the macOS/Linux installation command in the Linux subsystem.

2. macOS/Linux Deployment Steps

1. Open the system terminal (macOS users can search for "Terminal" via Launchpad, Linux users can use the Ctrl+Alt+T shortcut).
2. Copy the official one-click installation command, paste it into the terminal, and press Enter to execute:

curl -fsSL https://openclaw.ai/install.sh | bash

3. If a permission denied error prompts, add sudo before the command:

curl -fsSL https://openclaw.ai/install.sh | sudo bash

4. Wait for the script execution to complete. A success prompt indicates installation is finished.

Method 2: Package Manager Installation (Advanced users, npm/pnpm)

Suitable for users familiar with the Node.js ecosystem, facilitating version management and updates. Requires Node.js 22+ to be installed in advance.

npm Installation

# Install OpenClaw globally
npm i -g openclaw@beta

# Start the initialization configuration wizard
openclaw onboard

pnpm Installation (Recommended, faster, takes up less space)

# Install OpenClaw globally
pnpm add -g openclaw@beta

# Start the initialization configuration wizard
openclaw onboard

Method 3: Source Code Compilation Installation (Developers, custom modifications)

Suitable for users who want to modify the source code or do secondary development. Requires Git, pnpm 9+, and Node.js 22+ to be installed in advance.

1. Clone the official source code repository:

git clone https://github.com/openclaw/openclaw.git

2. Enter the project directory and install dependencies:

cd openclaw && pnpm install

3. Compile and build the project:

pnpm run build

4. Start the initialization configuration wizard:

pnpm run openclaw onboard

Method 4: Docker Deployment (Servers / Isolated environments)

Suitable for server deployment or scenarios where isolated execution is desired. Requires Docker Engine 20+ or Docker Desktop to be installed in advance.

1. Pull the latest official image:

docker pull openclaw/openclaw:latest

2. Start the container in the background, map ports, and persist configurations:

docker run -d \
  --name openclaw \
  -p 3000:3000 \
  -v ~/.openclaw:/root/.openclaw \
  --env-file ~/.openclaw/.env \
  --restart unless-stopped \
  openclaw/openclaw:latest

3. You can also use Docker Compose for persistent deployment. Create a docker-compose.yml file:

version: '3.8'
services:
  openclaw:
    image: openclaw/openclaw:latest
    ports:
      - "3000:3000"
    volumes:
      - "~/.openclaw:/root/.openclaw"
    env_file:
      - ~/.openclaw/.env
    restart: unless-stopped

4. Start the container:

docker compose up -d

4. Initialization Configuration and Function Validation

After installation, you need to complete the core settings through an interactive configuration wizard before you can use OpenClaw normally.

4.1 Interactive Configuration Wizard

1. If the wizard does not start automatically after installation, execute the following command manually to start it:

openclaw onboard --install-daemon

2. Follow the wizard prompts to complete the core configuration. Beginners can choose default options throughout:

• Step 1: Confirm risk notification, enter yes to agree to the user agreement.
• Step 2: Startup mode selection. Beginners should choose QuickStart mode.
• Step 3: Select the AI model provider, paste the API Key prepared in advance, and the wizard will automatically test the model connection.
• Step 4: Set the workspace path. Keep the default, but ensure the path is entirely in English.
• Step 5: Install the daemon background service. Enter yes to enable auto-start on boot and background resident operation.
• Step 6: Connect chat platforms and install skill packages. Beginners can choose skip for now and configure them later in the visual interface.

4.2 Installation Validity Verification

Execute the following commands to verify if OpenClaw is installed successfully:

1. Check the version number. Outputting version information means the installation is valid:

openclaw --version

2. Environment diagnosis. It automatically checks the Node.js version, dependencies, configurations, and network connection. Passing all checks means the environment is normal:

openclaw doctor

3. Service health check. Verify if core services are running normally:

openclaw health

4.3 Start Visual Console and Function Testing

1. Execute the following command to automatically open the browser and enter the OpenClaw visual Web console:

openclaw dashboard

2. The default console address is http://127.0.0.1:3000 . If the port is occupied, you can modify the port number in the configuration file.

3. Enter a test command in the console's chat box, for example, What can you do? . If the AI replies normally, the deployment is successful.

4. Advanced testing: Enter a simple execution command, such as Help me view all files in the current directory , to verify the AI's execution capabilities.

5. Summary and Advanced Gameplay

Through the steps in this article, you have completed the local deployment of OpenClaw and possess an exclusive AI digital assistant capable of autonomously executing tasks. Its core value lies not in conversation capabilities, but in translating natural language into real execution actions, freeing you from repetitive and tedious work.

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