Building EIDOLON OS — A Local-First AI Cognitive Operating System

I’ve been experimenting with a different direction for personal AI: not cloud chatbots, not another wrapper, but a local-first cognitive operating system. So I built EIDOLON OS. An experimental AI system that combines memory, vision, semantic retrieval, CCTV intelligence, workflow replay, and local agent actions into one modular platform. A local-first AI cognitive operating system designed to transform raw desktop activity into structured, searchable memory. [UPLOAD SCREENSHOT HERE] EIDOLON can analyze uploaded videos and camera feeds using local computer vision pipelines. Features include: [UPLOAD SCREENSHOT HERE] The system also includes a local action/agent layer capable of: [UPLOAD SCREENSHOT HERE] Built with: Everything runs locally. No cloud dependency. No telemetry. No external memory APIs. Most AI systems today are stateless chat interfaces. I wanted to explore something different: an AI system that continuously remembers, observes, structures, and retrieves contextual information like a cognitive layer for the machine itself. Still early. But the foundation is becoming real.