You want to run Claude locally — meaning you want Claude available from hardware you own, with your files, memory, tools, and automations staying on your desk. Here's the honest version up front: Claude itself remains Anthropic's cloud API; you do not run Claude's model weights offline. The powerful setup is OpenClaw running locally on your hardware while Claude Fable 5, Opus, Sonnet, or Haiku plugs in as the premium reasoning provider for the hardest work. This guide explains what "run Claude locally" realistically means, how the architecture works, and what hardware makes it practical.
What "Run Claude Locally" Actually Means
When people search for how to run Claude locally, they usually want one of three things: privacy, speed, or a way to make Claude part of an owned assistant setup. The good news is you can get that without claiming Claude runs offline. OpenClaw runs locally; Claude stays in Anthropic's cloud and is called through the API when you choose it.
The realistic model is local OpenClaw with premium Claude routing. A local-first agent runs open-weight models — like Llama, Qwen, or Mistral variants — directly on hardware you own. Those models handle everyday tasks: summarizing, drafting, classifying, answering questions about your files. When a task genuinely benefits from Anthropic's best reasoning, OpenClaw routes that single request to Claude's API and brings the answer back.
So "running Claude locally" is shorthand for "running OpenClaw locally on your hardware with Claude connected as the premium cloud brain." That's the useful and honest framing: Claude stays with Anthropic; the agent workspace, files, memory, tools, and local models stay with you.
Why Open-Weight Models Cover Most of the Work
Modern open-weight models in the 7B–14B range are dramatically more capable than the models of even a year ago. For a large share of real tasks — note-taking, code completion, document Q&A, classification, routine automation — a well-chosen open model running locally is fast, private, and entirely yours. No request leaves your network.
Running these models locally gives you three concrete wins:
- Privacy by default. Prompts and documents are processed on-device. Nothing is logged on a third-party server unless you deliberately send it there.
- Predictable cost. Local inference draws electricity, not API credits. You scale usage without watching a meter.
- Low latency. No round-trip to a data center for the common case.
You can learn more about how on-device inference works in practice on the private AI overview. The point isn't that open models replace Claude — it's that they pair with Claude. Local models handle routine work, and Claude remains the premium Anthropic model you reach for when quality and reasoning matter most.
Calling Claude as the Premium Cloud Provider
For tasks where a frontier model earns its keep — complex reasoning, long-context analysis, nuanced writing, code review, and business decisions — Claude is the provider you want ready. A local-first OpenClaw agent makes this a configuration choice, not an architecture rewrite.
Here's how the routing works in a sensible setup:
- A request comes in to your local agent.
- The agent decides — by rule, by task type, or by your explicit instruction — whether to answer locally or escalate.
- If it escalates, it sends only that request to Claude's API over an encrypted connection and returns the response.
You supply your own Anthropic API key, so the cloud relationship is direct and transparent: you see exactly what's billed and exactly what was sent. Everything else stays local. This is the combination ClawBox is built for: OpenClaw on your hardware, Claude as the premium reasoning provider.
If you're choosing between providers, the model-selection logic lives in the agent layer, so you can swap Claude for another cloud model — or turn cloud off entirely — without rebuilding anything.
The Hardware That Makes Local-First Practical
A local-first stack needs hardware that can run open-weight models at usable speed without turning into a space heater or a server-room project. This is where most DIY attempts stall: a gaming GPU is loud and power-hungry, a cheap mini-PC is too slow, and a cloud VM defeats the entire purpose.
ClawBox is built for exactly this gap. It's a compact edge device with:
- NVIDIA Jetson Orin Nano Super (8GB) — purpose-built for on-device AI inference
- 67 TOPS of compute for running open-weight models locally
- 512GB NVMe storage for models, context, and your data
- ~20W typical draw — quiet, cool, always-on friendly
- OpenClaw pre-installed — the local-first agent that handles routing between local models and Claude as the premium Anthropic cloud provider
- €549 one-time for the hardware
OpenClaw is the piece that ties it together: it runs your local models, manages context, and lets you wire in Claude as the main premium cloud provider when you want Anthropic's best reasoning. The Jetson platform is what makes running real local models on ~20 watts feasible — you can read more about that pairing on the OpenClaw on Jetson page, or compare options on the best hardware for local AI guide.
Setting It Up Without the Headaches
The reason people give up on local AI isn't the idea — it's the assembly. Drivers, CUDA versions, model quantization, agent frameworks, and API plumbing add up to a weekend you didn't budget. A pre-configured device removes that friction: OpenClaw and its dependencies are already installed and tuned for the Jetson, so you go from unboxing to running local models in minutes, then add your Claude API key whenever you want cloud escalation.
For configuration specifics — adding providers, choosing local models, setting routing rules — the documentation walks through each step. You stay the decision-maker; the box just removes the yak-shaving.
FAQ
Can I run Claude's actual model offline on ClawBox? No. Claude is Anthropic's cloud model. ClawBox runs OpenClaw and open-weight models locally, then calls Claude's API as the premium cloud provider when you choose to.
Do I need a Claude subscription to use ClawBox? No. ClawBox is local-first — open-weight models run on the device with no cloud account required. Claude is the recommended premium provider for harder work: if you want it, you connect your own Anthropic API key. The €549 hardware purchase is one-time.
Is my data sent to the cloud? Only when you explicitly route a request to a cloud provider. By default, everything runs on-device, so prompts and documents stay on your hardware.
Ready to Go Local-First?
You don't have to choose between privacy and capability. Run OpenClaw and open-weight models on your own hardware for everyday work, and keep Claude connected for the hard problems — all on a quiet, ~20W box that's yours outright.
See the full specs and start your local-first setup at clawbox.com.