The Local Agent Experience

The first thing you notice is the speed. You press a hotkey, speak a command, and the agent starts working immediately. No loading spinner. No "connecting to server." No waiting for a cloud VM to spin up. The agent is already running, already aware of your context, already ready.

The second thing you notice is the silence. No data leaving your machine. No screen recordings uploaded to someone else's servers. No API calls carrying your file contents to a third party. Everything happens on your hardware, in your memory, under your control.

Why It Feels Different

Cloud-based agents have an unavoidable delay between intention and action. You say something, it goes to the cloud, gets processed, comes back, and then the action happens on your screen. Even at 200ms round trip, the experience feels disconnected. You're watching a remote entity manipulate your computer.

A local agent feels like an extension of your own actions. The latency is measured in single-digit milliseconds. The agent's actions appear on screen as fast as your own clicks and keystrokes. It stops feeling like a separate tool and starts feeling like a capability you've gained.

The Memory Advantage

Cloud agents forget you between sessions. Local agents build up knowledge over time. After a week, the agent knows your projects. After a month, it knows your patterns. After three months, it anticipates what you need before you ask.

This is the part that makes going back impossible. Using a cloud agent after experiencing persistent local memory feels like introducing yourself to a colleague every morning. You've already done this work. Why does the agent not remember?

The Practical Reality

Your Mac has the compute. Apple Silicon handles local inference without breaking a sweat. The models that fit on-device are good enough for most agent tasks. For heavy reasoning, you can still call a cloud API - but the context, the memory, and the execution all stay local.

Fazm is an open source macOS AI agent. Open source on GitHub.