Run Claude Code and OpenClaw in Ollama gives creators and developers a straightforward way to build without waiting on cloud delays.

This removes tokens, throttling, and random outages that break momentum.

This becomes the foundation for a production system you can run daily with full control.

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People who create — whether that’s code, content, tools, products, automations, or workflows — need speed and stability.

People who develop software need clarity, reproducibility, and predictable behavior.

Local inference solves both problems at once.

This SOP gives you a clean, repeatable process that eliminates cloud friction and lets you ship more in less time.

Let’s build the system step by step.

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Install Ollama Before You Run Claude Code and OpenClaw in Ollama

Ollama acts as the local engine for the entire workflow.

Download it from the official site.

Install it like any standard application.

Open it once to confirm it runs in the background.

Creators benefit because everything stays simple.

Developers benefit because the environment stays consistent across sessions.

Once Ollama launches correctly, the foundation is ready.

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Pull a Local Model to Prepare to Run Claude Code and OpenClaw in Ollama

A good starting point is GLM 4.7 Flash.

It balances power and efficiency, making it ideal for both creative and technical tasks.

Run the command:

ollama pull glm-4.7-flash

The model downloads to your device.

Creators get fast generation for writing, building components, or prototyping tools.

Developers get steady token output and reliable performance.

The pull completes once, and the model becomes ready for offline use immediately.

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Test Local Execution Before You Run Claude Code and OpenClaw in Ollama

Run:

ollama run glm-4.7-flash

You should see a prompt right away.

You should get a quick response to any short query.

This confirms the model loads properly.

Creators experience the speed they need for rapid ideation.

Developers see the foundation for stable tool execution.

A working model means the environment is ready for integration.

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Launch Claude Code to Begin Run Claude Code and OpenClaw in Ollama

Open a fresh terminal.

Launch Claude Code and connect it to your local model through Ollama.

Claude Code switches from cloud mode into full local mode automatically.

Creators get a coding assistant that generates components, scripts, and workflow files without lag.

Developers get a local AI partner with stable reasoning and predictable behavior.

When Claude Code responds instantly, the setup is confirmed.

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Connect OpenClaw to Complete Run Claude Code and OpenClaw in Ollama

Start OpenClaw normally.

Select the Ollama gateway when asked.

OpenClaw now routes every agent call through your local model.

Creators get automated workflows, content pipelines, research chains, and tool builders that never stall.

Developers get deterministic multi-agent behavior without network delays.

Once OpenClaw returns a test result, the system is fully integrated.

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Test the Tools Together to Confirm Run Claude Code and OpenClaw in Ollama Works End-to-End

Open Claude Code and ask it to generate a landing page section.

Watch how quickly it appears.

Open OpenClaw and ask it to automate a multi-step command.

Check how smoothly the chain runs.

Creators will notice a smoother ideation loop.

Developers will notice cleaner execution across steps.

Testing both tools together confirms the entire system works as intended.

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Build a Repeatable SOP After You Run Claude Code and OpenClaw in Ollama

Creators want speed.

Developers want structure.

This SOP gives both:

• Open Ollama

• Load the model

• Launch Claude Code

• Start OpenClaw

• Verify both respond

• Begin building

Creators can follow this flow daily to produce tools, content, prototypes, or landing pages.

Developers can use the same flow to create apps, agents, automation scripts, or backend logic.

A consistent SOP increases output for both disciplines.

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Optimise Performance After You Run Claude Code and OpenClaw in Ollama

Local AI grows with your hardware.

Creators get faster generation for long scripts, outlines, or design components.

Developers get improved token throughput for larger systems, agents, and codebases.

More RAM improves stability.

More GPU power boosts speed.

Faster storage shortens model loading time.

Local optimisation gives you full control rather than depending on cloud infrastructure.

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Document Commands to Strengthen Run Claude Code and OpenClaw in Ollama

Create a small internal notes file.

Add the commands you use regularly.

Record which models work best for creativity, coding, or automation.

Write down anything that improves output speed or workflow reliability.

Creators use documentation to save time during content or tool production.

Developers use documentation to keep environments consistent and stable.

This small habit helps both groups build faster.

Once you’re ready to level up, check out Julian Goldie’s FREE AI Success Lab Community here:

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Inside, you’ll get step-by-step workflows, templates, and tutorials showing exactly how creators use AI to automate content, marketing, and workflows.

It’s free to join — and it’s where people learn how to use AI to save time and make real progress.

If you want to explore the full OpenClaw guide, including detailed setup instructions, feature breakdowns, and practical usage tips, check it out here: https://www.getopenclaw.ai/

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FAQ

1. Is this workflow good for both creators and developers?
Yes. It improves speed for creative tasks and stability for technical tasks.

2. Does everything work offline after setup?
Yes. Once installed, the system runs locally.

3. Can both tools share the same model?
Yes. One Ollama instance powers both Claude Code and OpenClaw.

4. Does this require advanced skill?
No. The SOP works for beginners and experienced builders.

5. Why choose this over cloud APIs?
You get speed, control, reliability, and zero ongoing costs.