How to Setup OpenClaw with Ollama
How to Setup and Run AI CoWork Locally with OpenClaw & Ollama | Full Guide
In this complete step-by-step tutorial, you’ll learn how to set up and run an AI CoWork environment locally using *OpenClaw* and **Ollama**. This full guide walks you through configuring everything on your system so you can integrate local AI models into your workflow without relying on cloud services.
We’ll start by installing and setting up Ollama, which allows you to run large language models (LLMs) directly on your computer. Running AI locally ensures better privacy, faster responses (depending on your hardware), and full control over your development environment.
Next, we’ll set up OpenClaw and prepare it for integration within your AI CoWork workflow. Whether you’re experimenting with AI-assisted development, automation, or building smart tooling around open-source projects, this tutorial will guide you through the complete process.
In this video, you’ll learn:
• Installing Ollama for local AI models
• Pulling and running your first LLM locally
• Setting up OpenClaw from source
• Configuring dependencies and environment variables
• Connecting AI workflows with your local project
• Testing and verifying the full setup
• Troubleshooting common errors
This guide is perfect for developers, AI enthusiasts, and open-source contributors who want to experiment with local AI workflows. Instead of sending code or data to external servers, you’ll be running everything securely on your own machine.
By the end of this tutorial, you’ll have a fully working local AI CoWork setup using OpenClaw and Ollama, ready for experimentation, automation, and development.
If you found this guide helpful, don’t forget to like, subscribe, and share it with others interested in local AI and open-source development.
https://openclaw.ai/
jonahships_
curl -fsSL https://openclaw.ai/install.sh | bash
curl -fsSL https://ollama.com/install.sh | sh
Claude Code
curl -fsSL https://claude.ai/install.sh | bash
ollama
