A self-hosted AI workspace environment optimized for local hardware. CasaHub runs entirely on your own devices — no cloud account required.

What It Is

CasaHub AI Workspace is a lightweight, preconfigured software stack that turns any compatible hardware into a private AI hub. It bundles local language models, document processing, and workflow automation into a single deployable package.

You keep your data. You keep your hardware. You keep control.

Hardware Requirements

CasaHub runs on a wide range of devices:

  • Raspberry Pi 4/8GB or Pi 5 — Ideal for single-user personal AI workspace
  • Mini PCs (Intel NUC, Beelink, etc.) — Multi-user household or small office deployment
  • Orange Pi / Alternative SBCs — Budget-friendly local AI with community support
  • Docker Clusters — Scale horizontally across multiple devices
  • VPS — Deploy on a private virtual server for remote access within your network

Core Capabilities

Local Language Models

Run open-weight LLMs directly on your hardware. No API calls, no data sent to external providers. Models run inference locally with configurable resource allocation.

Document Processing

Ingest, search, and summarize documents within your private workspace. PDFs, markdown, text files — all processed on-device.

Workflow Automation

Chain AI tasks into automated workflows. Summarize meetings, generate reports, classify documents — all running locally without external dependencies.

Private Network Access

Access your workspace from any device on your local network. No port forwarding to public cloud services required.

Getting Started

CasaHub ships as a deployable image. Flash it to an SD card, write it to a Mini PC, or run it as a Docker container. The workspace boots ready to use — no configuration wizard, no account creation, no cloud registration.

Philosophy

Big tech cloud AI services require you to send your data to their servers. CasaHub inverts this model. Your hardware runs the AI. Your network carries the traffic. Your data stays home.

This is data sovereignty in practice — not a policy document, but an architecture decision.