https://devopstoolkit.live/ai/how-i-built-a-server-that-runs-ai-agents-24-7-full-setup/index.htmlIf you’ve started using AI coding agents, you’ve probably felt the pull to run more than one. To have several going at once, in parallel, each chewing through a different task while you orchestrate the lot. That’s the goal we’re working toward. But the moment you reach for it, you run into a handful of problems, and solving them is what this whole video is about. The first is persistence. These agents run on a machine, and machines sleep, reboot, lose power. The instant that happens, every agent stops dead, and hours of work can vanish with them. The second is accessibility. The agents run wherever they run, but we’re not always sitting right next to them. You close the laptop at home, you’re working from an airport café an hour later, you’re over an ocean by nightfall. And through all of it, you still want to reach them, to check in, to redirect them. Those two are the big ones. There are also a couple of bonus problems, the kind that aren’t dealbreakers on their own but quietly make everything worse. One is dedication. If the agents are grinding through builds and tests on the very machine you’re trying to work on, everything ends up fighting over the same CPU and RAM. You and your agents, elbowing each other for resources. The other is isolation. Agents execute code. They run commands. They install things, sometimes things you’d never install yourself. Keeping all of that well away from your daily-driver machine limits the blast radius when something inevitably goes sideways.Hugoen-us