24/7 Screen Recording as a Foundation for AI Agents
Your Screen Is a Log of Everything You Do
Every action you take on your computer - every email you read, every document you edit, every tab you switch to - is visible on your screen. If you record it continuously, you create a complete history of your digital work life.
This sounds like surveillance, but when it stays entirely on your device and you control it, it becomes something else: context. The richest possible context for an AI agent.
From Recording to Understanding
Raw screen recordings aren't useful on their own. The value comes from indexing them - running OCR on the frames, extracting text from windows, noting which applications were active, and building a searchable timeline of your day.
When an AI agent can query this timeline, it stops being a tool that only knows what you explicitly tell it. It becomes an agent that knows you spent three hours in Figma yesterday working on the dashboard redesign, that you had a Slack conversation with Sarah about the API migration, and that you were debugging a memory leak in the profiler.
Practical Applications
This kind of context changes what you can ask your agent to do. "Summarize what I worked on this week" becomes answerable. "Find that error message I saw yesterday" actually works. "Continue where I left off on the marketing copy" doesn't need you to explain what marketing copy you're talking about.
Privacy by Design
The critical requirement is that all of this stays local. The recordings, the index, the search - everything lives on your machine. No cloud upload, no external processing. You get the benefits of total recall without the privacy nightmare.
Apple Silicon makes this practical. Modern Macs can record, process OCR, and index continuously without noticeable performance impact. The hardware is finally good enough to make always-on recording a reasonable default.
Fazm is an open source macOS AI agent. Open source on GitHub.