TechRadar guide shows how to self-host AI agents for full data control

The guide notes that popular AI agents route files and prompts through third-party servers, meaning users pay subscription fees while someone else handles their data. For those working in regulated industries or with strict local compliance requirements, this can be an ongoing challenge. Even when opting out of model training in ChatGPT or Claude, users must trust providers to honor that agreement with little legal recourse if they do not.

The tutorial uses OpenClaw, an open-source autonomous agent framework, installed via an official script and configured through an onboarding wizard. Users need a Linux machine with at least 4GB of RAM and 20GB of free storage, Node.js 22 or later, and an API key for a preferred LLM vendor such as OpenAI or Anthropic. Those with a suitable GPU can instead run open-weight models like Llama 3.3 locally using Ollama.

To provide a more polished visual interface, the guide recommends pairing OpenClaw with Open WebUI, a containerized web application. The setup process involves enabling an OpenAI-compatible API endpoint in OpenClaw's configuration file at ~/.openclaw/openclaw.json, starting the gateway, installing Docker Engine and Docker Compose, and then running Open WebUI as a container. The gateway listens on port 18789 by default, while Open WebUI is mapped to port 3000.

The article was written by a TechRadar editor who tested the setup on a home computer, describing it as "not as complicated as it used to be." The full guide provides specific installation commands, configuration changes, and system requirements for each step.