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OpenClaw on Windows 11: WSL2 & PowerShell Advanced Power Setup Guide (2026)

February 24, 2026 12 min read Windows Advanced OpenClaw WSL2

About This Guide: This is an advanced setup guide for running OpenClaw on Windows 11 using the WSL2 (Windows Subsystem for Linux 2) method — officially recommended by the OpenClaw team for maximum compatibility. We also cover PowerShell automation scripts to launch OpenClaw at startup as a background daemon. Estimated time: 30–45 minutes.

OpenClaw is a rapidly growing open-source personal AI assistant that as of February 2026 has surpassed 100,000 GitHub stars. Unlike cloud-locked AI tools, OpenClaw runs on your own hardware — giving you full ownership of your data, conversations, and automation workflows. It integrates with WhatsApp, Telegram, Discord, Slack, iMessage, and Signal, and connects to AI providers including Anthropic Claude, OpenAI GPT-4, and Google Gemini.

The OpenClaw documentation explicitly recommends WSL2 as the primary installation method for Windows, noting that native Windows installation is "untested and more problematic." This guide shows you the right way: WSL2 with Ubuntu, plus PowerShell automation for seamless background operation. Whether you want a 24/7 AI agent running silently on your gaming PC, work laptop, or home server — this is the definitive guide.

Why WSL2 Over Native Windows?

Native Windows (Not Recommended)

  • ❌ PowerShell execution policy conflicts
  • ❌ Node.js PATH issues with npm global binaries
  • ❌ File permission problems in the gateway
  • ❌ Poorer tool compatibility for bash-based skills
  • ❌ Officially marked "untested" by OpenClaw team

WSL2 Ubuntu (Official Method)

  • ✅ Full bash/shell skill compatibility
  • ✅ Identical to native Linux experience
  • ✅ Node.js PATH works perfectly
  • ✅ Systemd support for auto-start daemon
  • ✅ Officially supported and tested

System Requirements

Win 11
or Win 10 v1903+
8GB+
RAM recommended
Node 22+
inside WSL2
5GB+
free disk space

Step 1: Enable WSL2 on Windows 11

Open PowerShell as Administrator (right-click the Start menu → Windows Terminal (Admin) or PowerShell (Admin)) and run:

PowerShell (Administrator)
# Enable WSL2 with Ubuntu in one command
wsl --install

# If WSL is already installed, set default version to 2
wsl --set-default-version 2

# Verify WSL2 is active
wsl --status

Restart Required

After running wsl --install, Windows will prompt you to restart. Save all open work and restart your PC. After restart, Ubuntu will automatically install and ask you to create a username and password.

Set Up Ubuntu User Account

After restart, Ubuntu opens automatically. Create your Linux user:

# Ubuntu will prompt for:
Enter new UNIX username: yourname
New password: ••••••••
Retype new password: ••••••••

# Update system packages
sudo apt update && sudo apt upgrade -y

Step 2: Install Node.js 22 via NVM in WSL2

Inside your Ubuntu WSL2 terminal, install nvm (Node Version Manager) — the best way to manage Node.js versions on Linux:

Ubuntu (WSL2)
# Install nvm
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash

# Reload shell configuration
source ~/.bashrc

# Install Node.js 22 LTS (required for OpenClaw)
nvm install 22
nvm use 22
nvm alias default 22

# Verify installation
node --version # Should show v22.x.x
npm --version # Should show 10.x.x

Why Node 22? OpenClaw requires Node.js 22+ for its latest features. The nvm approach lets you switch versions easily and avoids permission issues common with system-wide npm installs.

Step 3: Install OpenClaw in WSL2

Now install OpenClaw using the official one-line installer. This automatically handles all dependencies:

Method 1: Official One-Line Installer (Recommended)

# Official installer (handles Node.js + OpenClaw)
curl -fsSL https://openclaw.ai/install.sh | bash

# Start onboarding wizard
openclaw onboard --install-daemon

The installer detects your WSL2 Ubuntu environment and configures everything automatically. The --install-daemon flag sets up OpenClaw to run as a background systemd service.

Method 2: npm Global Install

# Install globally
npm install -g openclaw

# Initialize your agent
openclaw init my-agent
cd my-agent
openclaw onboard

Onboarding Wizard: What to Answer

1AI Provider: Select Anthropic Claude (best reasoning) or OpenAI GPT-4
2API Key: Paste your API key from console.anthropic.com or platform.openai.com
3Messaging App: Choose Telegram (easiest setup) or WhatsApp
4Enable Memory: Yes — gives your agent persistent context across sessions
5Install as Daemon: Yes — runs OpenClaw 24/7 as a background service

Step 4: PowerShell Auto-Start on Windows Boot

To make OpenClaw start automatically every time Windows boots (even before any user logs in), create a PowerShell startup script using Windows Task Scheduler:

PowerShell (Administrator) — Create startup task
# Create a startup script file
$scriptContent = @'
wsl -d Ubuntu -u yourname -- bash -c "cd ~/my-agent && openclaw gateway start &"
'@
$scriptPath = "$env:USERPROFILE\openclaw-start.ps1"
Set-Content -Path $scriptPath -Value $scriptContent

# Register as scheduled task (runs at system startup)
$action = New-ScheduledTaskAction -Execute "powershell.exe" `
-Argument "-WindowStyle Hidden -File `"$scriptPath`""
$trigger = New-ScheduledTaskTrigger -AtStartup
$settings = New-ScheduledTaskSettingsSet -Hidden
Register-ScheduledTask -TaskName "OpenClawWSL2" `
-Action $action -Trigger $trigger `
-Settings $settings -RunLevel Highest -Force

Using systemd Inside WSL2 (Alternative)

If WSL2 systemd is enabled (Windows 11 22H2+), you can manage OpenClaw as a proper Linux service:

# Enable systemd in WSL2 (add to /etc/wsl.conf)
echo -e "[boot]\nsystemd=true" | sudo tee /etc/wsl.conf

# After restarting WSL, register OpenClaw service
openclaw gateway install-service
sudo systemctl enable openclaw
sudo systemctl start openclaw

# Check status
sudo systemctl status openclaw

Verify OpenClaw is Running

openclaw gateway status
openclaw dashboard

# Expected output:
# Gateway: Running on port 18789
# Agent: Online
# Memory: Loaded

Step 5: Network Optimization for OpenClaw

OpenClaw makes constant API calls to AI providers and messaging platforms. Network latency and ISP throttling are the #1 cause of OpenClaw performance issues on Windows. Here's how to ensure rock-solid connectivity:

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Configure VPN in WSL2

WSL2 shares Windows' network stack, so your VPN connection in Windows automatically applies to OpenClaw running in WSL2. No extra configuration needed — just connect VPN07 in Windows and OpenClaw benefits instantly.

# Test API connectivity from WSL2
curl -w "%{time_total}" -o /dev/null -s https://api.anthropic.com
# With VPN07: typically <50ms response
# Without VPN: 200-800ms or timeout

Advanced: Running Multiple OpenClaw Agents

One powerful advantage of WSL2 is running multiple independent OpenClaw agents simultaneously — one for work, one for personal tasks, one for automation:

Agent 1: Work Agent (Slack + Claude)

openclaw init work-agent --port 18789
cd work-agent && openclaw onboard

Agent 2: Personal Agent (WhatsApp + GPT-4)

openclaw init personal-agent --port 18790
cd personal-agent && openclaw onboard

WSL2 Memory Management

By default WSL2 can consume up to 50% of your RAM. For running multiple agents, create a .wslconfig file in your Windows user folder:

# File: C:\Users\YourName\.wslconfig
[wsl2]
memory=6GB # Limit WSL2 to 6GB RAM
processors=4 # Use 4 CPU cores
swap=2GB # Add 2GB swap

Troubleshooting Common WSL2 + OpenClaw Issues

Error: "WSL2 is not supported on this system"

Cause: CPU virtualization is disabled in BIOS

Fix: Restart PC → Enter BIOS/UEFI → Enable "Intel VT-x" or "AMD-V" → Save and reboot

Error: "openclaw: command not found"

Cause: nvm not loaded or PATH not updated

source ~/.bashrc
nvm use 22
which openclaw # Should show path

OpenClaw API calls timing out

Cause: ISP throttling or poor routing to AI provider servers

Fix: Connect VPN07 on Windows. WSL2 automatically uses the Windows VPN connection. VPN07's 1000Mbps ensures zero throttling on API calls to Anthropic, OpenAI, and Google.

WSL2 memory not being released

Cause: Linux memory caching behavior

# Force release cached memory
sudo sh -c 'echo 3 > /proc/sys/vm/drop_caches'

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