AI WORKFLOWS · PRACTICAL GUIDE
AI Agent Hosting vs. a VPS: What Are You Paying For?
If you are comfortable administering Linux, a VPS can be a sensible home for an AI agent. A managed service earns its price by making setup, access, task control, and recovery easier.
Start with the problem you want to stop handling
“I need a server” and “I keep losing work when my laptop sleeps” can lead to different choices. Write down the friction: installing tools, maintaining packages, accessing work from a phone, checking approvals, controlling model spend, or recovering files. Paying for convenience only helps when the service handles your actual pain point.
| Option | You usually handle | Ask before choosing |
|---|---|---|
| DIY Linux VPS | Agent installation, secure access, updates, process management, and backups. | Can I maintain and recover this environment myself? |
| AI provider’s cloud workspace | Project setup and the permissions supported by that product. | Does its toolchain, storage lifetime, and workflow fit my project? |
| Managed agent workspace | Your task, connected accounts, and required reviews; exact responsibilities vary. | Which setup and operating tasks does this service actually handle today? |
What a useful managed layer should demonstrate
We would evaluate an agent host with a real project, not a list of logos. Can you start a task, leave the page, return to its history, inspect a proposed action, and find the resulting files? Does a disconnected phone reconnect cleanly? Can you tell a completed task from a process that is alive but waiting?
- A clear list of tools that are installed, connected, or merely planned.
- A stable place for files and a documented deletion and backup policy.
- Specific approval details: the computer, command or file, and requested action.
- Usage limits that cover the whole account, not a fresh allowance per model.
- A working exit path: stop tasks, export work, revoke access, and cancel.
Compare cost with a representative week
Keep computer cost and AI cost separate. Record how often tasks run, which models they use, what stays on disk, and how much time you spend maintaining the environment. Extrapolate cautiously: a short chat is not a benchmark for a long coding loop. Also check whether a stopped machine continues to incur storage or reservation costs.
If a raw VPS already gives you everything you need, choose it. Consider a managed workspace when its verified workflow saves enough setup and maintenance time to justify the difference.
Spare Computer’s current offer
We are building an always-on Linux workspace with browser access, an SC task interface, and optional connections to your own AI tools. The planned founding computer price is $89 USD per month plus applicable tax for the first 1,000 paying customers, while the original subscription stays active. Checkout is closed, and requests do not reserve a founding place. Final features, model allowances, and recurring terms will be shown before payment.
Today, visitors can request beta access and explore previews. Public unattended coding, managed backup recovery, Windows, Mac, and 24/7 support are not available. The companion native app is still in development. Those limits are part of the comparison, not small print.
For concrete next steps, use the overnight workflow checklist and OpenCode hosting guide.