Local LLMs: Building a Privacy-Preserving AI Assistant

Tired of relying on the cloud for your AI needs? A team built a local LLM application prioritizing privacy. Combining LLMs, Docker containers, and a headless browser, their system runs LLMs locally, executes code in lightweight VMs, and accesses the internet securely. This allows users to perform privacy-sensitive tasks like photo and video editing without data leaving their machine. While Mac app development proved challenging, they ultimately created a powerful local tool offering true code and data isolation, giving users unprecedented control and privacy.