raspberry pi.

The reference guide on Pocket AI: running self-hosted AI agents and local LLMs on Raspberry Pi, Mac Mini, mini PCs, Framework laptops and edge devices. Hardware comparison, agent compatibility, real-world benchmarks, and the manifesto.

Honest hands-on hardware buyer's guide for self-hosted AI agents in 2026. Raspberry Pi 5, Intel NUC and clones, Mac Mini M4, Framework Laptop, Orange Pi 5 Plus — real benchmarks, real bills, concrete recommendations by budget.

Real-world benchmarks of Llama 3.3 70B, Qwen 2.5 72B, Mistral 7B, Llama 3 8B and Phi-3 mini across Raspberry Pi 5, Intel mini PCs, Apple Silicon Mac Mini, and Mac Studio. Tokens-per-second, agentic task pass rates, power and cost economics.

4,000-line Python agent designed to be auditable in an afternoon. Trust through verification.

Stripped-down ZeroClaw fork for resource-constrained hosts. Phi-3 mini default, runs comfortably on a Pi 5.

The default starting point for pocket AI in 2026. 4–8 GB of LPDDR4X, ARM Cortex-A76, sub-€100, runs Hermes Agent (no browser tool) or Nanobot comfortably.

€20 SBC with 512 MB RAM. Useful as an edge agent endpoint (sensor reader, tool host) but not a primary agent host.

Rockchip RK3588-based SBC with 4–32 GB RAM and an NPU. The Pi 5's most credible competitor for AI workloads on ARM.