How to Run OpenClaw Locally on Your Own Device
Local AI agents give you privacy, speed, and full control. Here's how to run OpenClaw entirely on your own hardware — no cloud required.
Install OmniScriber — FreeSave and export your local AI agent setup conversations
Why Cloud AI Agents Have Limitations
Cloud-based AI agents are convenient, but they come with real trade-offs. Every task you give them involves sending your data to a remote server — your files, your commands, your context. For users working with sensitive data, proprietary code, or personal information, this is a significant concern.
There's also the cost dimension. Cloud AI agents typically charge per token or per task, which adds up quickly for power users running dozens of tasks per day. And there's latency — every round trip to a remote server adds delay, which becomes noticeable in complex, multi-step workflows.
Running OpenClaw locally eliminates all of these issues. Your data never leaves your machine, you're not paying per-token costs (if you use a local model), and the only latency is your hardware's processing speed. For users who value privacy and control, local operation is the clear choice.
The Benefits of Running OpenClaw Locally
Complete privacy: When you run OpenClaw with a local model via Ollama, nothing leaves your machine. Your tasks, your files, your conversations — all processed locally. This is essential for anyone working with confidential data.
No API costs: Local models are free to run after the initial download. If you're running many tasks per day, the cost savings compared to cloud API calls can be substantial.
Offline capability: A fully local setup works without an internet connection. This is valuable for users who work in restricted network environments or who simply want a reliable setup that doesn't depend on external services.
Full customization: Running locally gives you complete control over the model, the configuration, and the agent's behavior. You can fine-tune, modify, and experiment in ways that cloud services don't allow.
How to Set Up OpenClaw for Local Use
Install Ollama for local model serving
Ollama is the easiest way to run local AI models. Download it from ollama.ai and install it. Ollama handles model downloading, serving, and the API interface that OpenClaw connects to.
Download a local model
Run `ollama pull llama3.2` or `ollama pull qwen2.5-coder` to download a model. For agent tasks, models with strong instruction-following are best. Qwen 2.5 Coder and Llama 3.2 are popular choices for OpenClaw.
Configure OpenClaw to use Ollama
Edit your OpenClaw config file to point to the local Ollama endpoint (typically http://localhost:11434) and specify your chosen model. Remove any cloud API key settings if you want a fully local setup.
Test the local connection
Run `openclaw run 'What model are you using?'` to verify OpenClaw is connecting to your local model. The response should confirm the local model name.
Benchmark and tune
Local models vary significantly in speed and capability. Run a few representative tasks and compare the results. If performance is slow, consider a smaller model or check that your GPU is being utilized (run `ollama ps` to see active models).
Why Pair Local OpenClaw with OmniScriber?
Document your local setup
Getting a fully local OpenClaw setup working requires research and experimentation. OmniScriber saves your AI-assisted setup conversations so you can reproduce the exact configuration on a new machine.
Export model comparison notes
When you're evaluating which local model works best for your tasks, export your comparison conversations to Notion or Markdown with OmniScriber — so your research is permanently accessible.
Archive Ollama configuration guides
The conversations where you figured out Ollama configuration, model selection, and performance tuning are valuable. OmniScriber keeps them searchable and exportable.
Build a local AI knowledge base
As you learn more about running AI locally, OmniScriber helps you build a personal knowledge base from your AI conversations — turning scattered insights into organized, reusable documentation.
Running OpenClaw Locally — FAQ
Archive Your Local Agent Workflows
Install OmniScriber — FreeSave and export your local AI agent setup conversations