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What is OpenClaw? How to Set It Up on Your HyperX OMEN Gaming PC

Jennifer Smith
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Reading time: 4 minutes
OpenClaw is an open-source AI platform that lets you set up AI agents and workflows to run multiple AI tasks from one interface. If you are wondering whether it’s possible to run OpenClaw locally and whether gaming hardware is powerful enough to handle it, the answer is yes. HyperX OMEN PCs are designed specifically to handle these kinds of workloads. The same GPU and CPU that power your games at high settings can also run local AI models, making HyperX OMEN hardware an ideal starting point. This guide walks you through installing OpenClaw on your HyperX OMEN PC, from downloading the platform to running your first dashboard session.
What is OpenClaw?
OpenClaw is an open-source AI platform that lets you set up AI agents and automated workflows to handle multiple AI tasks in one place. It gives you full flexibility over which AI model you use and which tools you connect. OpenClaw also supports running everything locally, so your data stays on your machine rather than being processed at an external data center.
You can use OpenClaw as a personal assistant, for image identification, or to send messages through chat services like Discord or WhatsApp. OpenClaw acts as a single interface for all of these interactions, so you only need to configure everything once. Organize meetings, identify images, or generate summaries - all in one place, all on your system, and without requiring a web connection.
Because many of OpenClaw’s features run locally, you need powerful hardware to support the processing demands. HyperX OMEN PCs are well suited for this. The same high-performance CPU and GPU that drive your gaming sessions at maximum settings also accelerate local AI model inference.
How to Set Up OpenClaw?
While it is compatible with Linux, macOS, and Windows, this tutorial focuses on the Windows installation process for your HyperX OMEN PC.
A note on permissions: OpenClaw is a powerful tool. With the right permissions, it can run commands and send messages on your behalf, but it can also create and delete files on your computer. During setup, review any permissions it requests carefully. If something seems unclear or unnecessary, decline it.
OpenClaw is a technical application that requires setup through the command line.
Step 1: Open Windows PowerShell
Press the Windows key, type “Windows PowerShell,” and select Open.

Step 2: Install OpenClaw

Copy and paste the following command into the PowerShell window, then press Enter:
1 iwr -useb https://openclaw.ai/install.ps1 | iex
This command downloads the OpenClaw installer from the official website. You should see the program installing the dependencies needed to run OpenClaw.

Step 3: Install Ollama

After OpenClaw is installed, we recommend installing Ollama. Ollama is an open-source LLM manager that can download and store multiple AI models for your use. Run the following command in the same PowerShell window:
1 irm https://ollama.com/install.ps1 | iex
During this step, the default AI model Gemma 4 from Google will be installed. If you want to use other models available through Ollama, visit the Ollama model library at ollama.com/search.
An example on a computer screen of how to open up the OpenClaw commands, with a red background and HyperX printed on the screen.

Step 4: Configure developer permissions

After Ollama finishes installing, run the following command to allow OpenClaw to execute its own setup scripts:
1 Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned

Step 5: Run the onboarding process

With permissions configured, run the onboarding command:
1 openclaw onboard
This starts the OpenClaw onboarding process. You will see several approval and permission prompts that you can navigate using your arrow keys.
OpenClaw command prompts on a black screen opened up on a red background with HyperX text in the lower right corner.
5A. Select setup mode
Choose “Quick Start” and press Enter.
5B. Choose your model provider
If you want to run models locally as configured in Step 3, select “Ollama,” press Enter, choose “Local only,” then press Enter on the base URL. We recommend selecting “Keep Current,” which uses Google’s Gemma 4 by default. If you have other models downloaded in Ollama, you can select your preferred model here.
5C. Optional integrations
For the remaining options, you can select “Skip for now.” If you want the additional functionality these settings provide, set up API keys as needed.
5D. Complete setup
After skipping or configuring the optional integrations, select “Do this later.”

Step 6: Launch the dashboard

OpenClaw is now ready to use. Run the following command to open the dashboard in a new browser window:
1 openclaw dashboard
From the dashboard, you can chat with OpenClaw and explore its features.
OpenClaw command opened up on a screen with a red background and HyperX text in the lower right corner.

Starting and stopping OpenClaw

After restarting your computer, use the following commands to start or stop OpenClaw:
1
2
openclaw gateway start
openclaw gateway stop

Tested Hardware

We set up and ran OpenClaw successfully on the following HyperX OMEN configuration:
System Graphics Card RAM CPU OS
HyperX OMEN MAX 45L NVIDIA®
GeForce RTX™
5080
32GB Intel® Core™
Ultra 9
Windows® 11

Next Steps

OpenClaw is now installed on your HyperX OMEN PC. From here, you can begin creating agents tailored to your workflow - automating emails, organizing tasks, or running local AI models for content and image processing.
For additional setup details, OpenClaw maintains a Getting Started page on their documentation site. To see what other users are building with the platform, visit the OpenClaw community showcase at openclaw.ai/showcase.

About the Author

Jennifer Smith is a technology writer for HP Tech Takes with more than 15 years of experience covering consumer technology, PCs, gaming, productivity, and emerging tech trends. She specializes in translating complex topics into clear, practical advice that helps readers make confident technology decisions. Her work focuses on helping everyday users better understand devices, software, AI tools, and digital experiences through approachable, research-driven content.

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