Most AI Agent Development Is Cloud-First - Here's Why Local-First Is Better
Local-First Agents Are Better
Look at the major agentic AI launches. Cloud VMs that run a browser in a sandbox. Remote desktops you stream from a data center. Hosted environments where your agent runs on someone else's machine.
They all share the same fundamental problem: they are not where your work lives.
The Cloud Agent Problem
A cloud agent cannot open your local files. It cannot interact with the apps you have installed. It does not have access to your browser sessions, your saved passwords, or your logged-in accounts.
To work with your data, you have to upload it. To interact with your apps, you have to use their APIs (if they even have one). Every action goes through a network round trip - your request goes up, the action happens remotely, and the result comes back down.
That latency adds up. A desktop automation that takes 2 seconds locally takes 5 to 10 seconds through a cloud VM, assuming the connection is stable.
What Local-First Gets Right
A local agent runs on your Mac. It has the same access you do. It can open Finder, read your documents, interact with your browser, fill forms in web apps, and control native applications.
No uploads. No streaming. No network dependency for local actions.
Your files stay on your machine. Your browser sessions stay private. Your agent sees what you see and nothing leaves your computer unless you explicitly send it somewhere.
The Tradeoff Is Worth It
Cloud agents can scale. They can run 24/7 on a server. They can spin up multiple instances.
But most people do not need that. Most people need an agent that helps them with their daily work on their actual computer. For that, local-first is not just better - it is the only approach that does not feel like a workaround.
The best agent is the one that runs where your work already happens.
Fazm is an open source macOS AI agent. Open source on GitHub.