Self-hosted AI, but not blindly

You run the tool or assistant on infrastructure you control: locally, on a dedicated device or on your own VPS. The model itself can still be local or accessed through an API.

No. It depends on the models, APIs, logs and integrations you use. Self-hosting gives you control, but it does not remove responsibility.

Only as safe as your setup. OpenClaw can read files, run commands and accept messages from Telegram or WhatsApp. Researchers have already found publicly reachable deployments with no login, exposing API keys and chat logs. That is why the setup video runs OpenClaw on its own small server instead of a work computer: SSH key access only, firewall on, automatic security updates, Telegram pairing by code, a spending limit on the API key, and the security audit at the end.

It depends on where it runs and who can reach it. Locally on your own computer, just for you: with a tool like Voicebox your voice and text stay with you, and it costs nothing. In return your machine needs enough power, and an agent with file access sits right in the middle of your work.

On your own server (VPS): always reachable and separate from your work computer, like OpenClaw in the setup video. You pay for the server and handle updates, access and firewall yourself. Once you open access to the outside, for example through a messenger, that hardening becomes mandatory.

With an API connection to Claude or GPT, your content still goes to the provider, plus API costs. Self-hosting then means control over the tool, not over the model.