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Friday, 06-Mar-2026 15:09:09 EST


How to Install OpenClaw Locally: Free AI Setup (Docker & Ollama) #privateai #localai #noad

noad video link


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OpenGPT Small Summary

The video tutorial demonstrates how to set up OpenClaw locally using 
Docker and OMA (Llama), enabling a private, free, and 
data-privacy-friendly AI environment. Here's a concise summary of the 
key steps:

1. Install OMA (Llama):  
   - Download and install OMA via all.com/download.  
   - Validate installation with llama --version.

2. Pull a Local AI Model:  
   - Use ollama pull  (e.g., gpt-oss-20b) to download a 
model locally.

3. Install Docker:  
   - Download Docker Desktop from docker.com and launch it.

4. Set Up OpenClaw with Docker:  
   - Clone the OpenClaw GitHub repository:  
     

shell

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

   - Navigate into the directory and run:  
     

shell

     ./setup.sh
     

   - During setup, configure OpenClaw to use the local OMA model by:
     - Setting the base URL to http://host.docker.internal:11434 (for 
Docker internal access).
     - Using the correct API key (any placeholder works).
     - Specifying the model name (e.g., gpt-oss-20b).

5. Finalize Configuration:  
   - Edit openclaw.json to point to the local OMA instance and update 
the default model.
   - Restart the containers:  
     

shell

     docker compose down && docker compose up
     

6. Access the Dashboard:  
   - Use the provided URL (with token) to access the OpenClaw dashboard.
   - Approve the pending device request using the request ID from the terminal to resolve the "bearer required" error.

✅ Result: A fully private, locally running OpenClaw instance with no 
subscriptions, no data tracking, and full control over AI models.




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