hardware.

Which self-hosted AI agents run on a Raspberry Pi, mini PC, Mac mini, Framework laptop or old phone: an agent-by-device matrix, the limits, six setups.

Raspberry Pi 5, mini PC, Mac mini or Mac Studio for a local LLM or a self-hosted AI agent: what each budget buys, with makers' specs and published speeds.

When does a GPU pay for itself in self-hosted AI inference, and when is a modern CPU the better answer? A reasoned comparison of four kinds of host (Raspberry Pi 5, Intel NUC 13, Mac Mini M4, a single-GPU box): what each can run, what it costs to keep on, and where the CPU wins. Orders of magnitude, not a measured benchmark.

Single Rust binary from ZeroClaw Labs, MIT or Apache-2.0. Works with Anthropic, OpenAI, Ollama and about twenty other providers, and turns on an OS sandbox it detects.

Intel NUC 13 and Geekom IT13: 13th-gen Intel Core mini PCs with 16 to 64 GB of RAM, room for Hermes Agent with browser automation and a 7B model beside it.

Repairable, modular laptop with strong Linux support. The right choice if you want a portable agent host that doubles as a daily driver.

The Khadas Edge2 in its Pro configuration: Rockchip RK3588S2, 16 GB of LPDDR4X and 64 GB of eMMC on a small board. Polished hardware, smaller community.