Choose the machine that will execute your coding agent before choosing the device you will use to watch it. A browser, a phone, and a remote desktop can all be control surfaces; none tells you where the repository, terminal, and running process actually live.
For Agent.Space, the useful decision is between a cloud workspace, your own connected Mac, and a rented Dedicated Mac. The right choice depends on the tools your project needs, who keeps the machine available, and which account pays for the model—not simply whether the product says “remote.”
Start with the project requirement
For a project that needs macOS software, a Mac execution environment belongs on the shortlist. For a portable repository with no Mac-specific dependency, do not assume you need to rent hardware. First see whether the supported cloud environment can run its build, tests, and preview.
Write down three requirements: the command that proves the project works, the files it needs, and any application a human must open. These are better selection criteria than a list of agent names. Our workspace selection guide covers the broader project boundary.
Compare the three execution locations
Agent.Space's Dedicated Mac offer describes a physical Mac with Codex and Claude Code preinstalled. That is not the same purchase as an official Claude or ChatGPT subscription. Check the live offer for hardware and commercial terms instead of treating a blog price as a checkout quote.
Separate execution from human control
There are two different reasons to connect remotely. One is to send a task to an agent and read its result. The other is to interact with a desktop application yourself—for example, to inspect a rendered screen or handle an approval.
Remote Screen serves the latter need on supported Macs. A remote desktop does not make the controlled machine unnecessary. Likewise, an agent conversation saved in a workspace is not proof that a process is still running. See persistent coding-agent sessions for the distinction between conversation, files, and execution.
Keep the costs in separate rows
Budget for machine or workspace access, agent/model usage, and the time spent maintaining the environment. Do not add an official monthly plan to an API estimate unless the planned workflow genuinely uses both.
For a connected Mac, identify whether a task uses a local agent signed into your own provider account or a supported Agent.Space route. The fact that both appear in the same project does not make their bills interchangeable. Read the active route before starting a long task.
Prove the choice with a small task
Use a disposable copy of a non-sensitive project. Ask the agent to identify the environment, run one existing check, and save the result without deploying or changing external services. Confirm where the resulting file lives. Disconnect only the viewing device, then reconnect and inspect the recorded result.
This is a suggested acceptance test, not a claim that we ran it on your account. It checks the property you actually care about: whether the chosen environment can finish and preserve your task. It does not prove unlimited uptime or authorize unattended side effects.
Start with how Agent.Space organizes a project. If the workflow fits, create a workspace, choose its execution environment deliberately, and run that bounded first test.