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Can you run OpenClaw on a Raspberry Pi?

Yes: official ARM images exist, and a Pi makes a charming always-on agent box. The caveats: RAM, storage wear, and skills that assume x86.

July 17, 2026Updated September 8, 2026The Everpod team
The short answer

Yes. OpenClaw publishes official ARM64 images and documents the Raspberry Pi as a supported home, and a Pi with 4–8 GB of RAM runs a personal agent’s core workload. The caveats: use an SSD rather than an SD card for an always-on agent, expect browser-heavy work to strain smaller models of Pi, and know that the occasional skill shells out to helper tools with no ARM build.

Why people want this (and why it’s reasonable)

A Raspberry Pi is the cheapest always-on computer you can own: ~$60–90 of hardware, a few watts of power, silent, and entirely yours. For an agent that mostly orchestrates (the heavy thinking happens at your model provider’s end, which is why OpenClaw’s compute needs are modest), that’s a rational home, and the project treats it as one: the official docs include a Raspberry Pi path, and the Docker images are published multi-arch (ARM64 alongside x86), so the standard install works unmodified.

What to spec

The same rules as any always-on box

A Pi on your shelf is a server on your home network, and everything in the safe-hosting checklist applies: the Gateway stays private, SSH by key, pinned versions, and real backups (an SSD helps it survive; only a backup helps you recover). The comparison worth making before you buy: a Pi costs less than a year of a small VPS and lives in your house; the VPS has a data-center connection, snapshots, and survives your power cuts. It’s the same trade as the Mac Mini, at a tenth the price. As a tinkerer’s first agent box or a dedicated home for a modest agent, the Pi is good; as the home for an agent your day depends on, weigh the data-center options. That’s the job pods exist for.

Your own cloud agent, set up for you.

Everpod runs OpenClaw on a private, always-on computer of its own: set up, secured and backed up, with model usage included. You name your agent, and say hello about fifteen minutes later.

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