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Use a Dedicated Agent Box for Claude Code and Codex

Build a cleaner local AI agent workflow by running Claude Code and Codex on one stable machine while controlling them from any browser.

Junction TeamJunction Panel6 min read
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The Agent Box Pattern

A dedicated agent box is a machine whose main job is to run Claude Code, Codex, Git, your dependencies, and the Junction daemon. It might be a desktop workstation, a spare laptop, a mini PC, or a server in your office. The important idea is not the hardware. The important idea is that agent execution has a stable home.

This pattern fits developers who want local AI coding agents without tying every run to the laptop they happen to be carrying. Claude Code and Codex still execute where the repository, credentials, and local tools live. Junction gives you the browser control surface on top: live output, session state, approvals, diffs, and push notifications from another device.

That split is the useful part. The agent box is the execution layer. Your phone, tablet, or laptop is the control layer.

This article is about a machine you control as part of your normal development environment: a home-office workstation, a lab box, or a spare computer on your desk. A headless VPS is a different decision because it changes operating system assumptions, network exposure, and always-on maintenance.

Why A Dedicated Machine Helps

AI coding agents are more useful when they can work for longer than a quick terminal exchange. They may inspect a codebase, run tests, make edits, wait for approval, recover from failures, or open a pull request. If that run depends on your daily laptop staying awake and connected, the workflow is fragile.

A dedicated box gives you a few practical advantages:

  • It stays close to your normal local network, monitors, and peripherals.
  • The working directories stay in predictable locations.
  • Provider authentication stays on one machine.
  • Dependencies and toolchains are already warm.
  • Long-running tasks are less likely to be interrupted by travel, sleep settings, or switching networks.
  • You can check progress from a browser without opening SSH on a phone.

This does not mean every developer needs another machine. If you mostly run one short Claude Code or Codex task at a time, a laptop daemon is enough. The dedicated box starts to pay off when you regularly leave agents running while you step away.

The best version of this pattern is deliberately mundane. It is the machine that already builds the project reliably, not a fresh server that needs days of environment work.

What Runs On The Box

The box should run the Junction daemon, the agent CLIs, Git, your project dependencies, and whatever local tools the agents need. Junction does not replace Claude Code or Codex. It manages the agent processes and streams their state into the web app.

In practice, the box owns:

  • Repository checkouts and worktrees.
  • Claude Code and Codex authentication.
  • GitHub CLI authentication if you create or manage pull requests.
  • Node, Python, Rust, Go, or other project runtimes.
  • Test commands, build tools, and local scripts.

The browser owns:

  • Starting and resuming agent sessions.
  • Reading live output.
  • Sending follow-up instructions.
  • Approving or denying actions.
  • Reviewing diffs and Git state.
  • Receiving notifications when attention is needed.

This is why a dedicated agent box is different from a cloud sandbox. The code is not moved into a hosted workspace. The agent runs in the environment you chose, and Junction gives you a control surface for that environment.

A Practical Starting Setup

Start with one repository and one agent provider. Install the Junction daemon on the machine that already builds the project cleanly. Confirm Claude Code or Codex can run directly in that repository before adding Junction to the loop. Then connect Junction and run a small task that has a clear finish line.

A good first task is:

Inspect the failing test in packages/site and propose a plan before editing.

That task proves the machine has the right checkout, the agent can read the code, and the control surface shows enough context to supervise the run. After that, try a small edit, then a diff review, then a pull request workflow.

Keep the first day boring. The goal is not to automate the entire backlog. The goal is to prove that the machine, daemon, provider auth, repository, and browser control surface all agree about where the work is happening.

If the box is in your office or home lab, leave the first workflow interactive. Use it for plan review, test runs, and diff inspection before you try unattended work. The advantage over a laptop is stability; the advantage over a VPS is that it remains part of your local dev environment.

When This Pattern Is Worth It

Use a dedicated agent box when you have any of these signals:

  • You want to monitor agents from your phone while your laptop is closed.
  • You run more than one agent session per day.
  • You want separate worktrees for longer Claude Code or Codex runs.
  • You need a stable place for provider and GitHub authentication.
  • You want Core or Switchboard workflows with more than one saved daemon or automation route.
  • You want a machine that can still use local-only services, internal devices, or desktop-adjacent tooling.

It is less useful when the project only builds on your main laptop, when you need interactive desktop-only tooling, or when the agent tasks are short enough that you never leave the terminal.

If the main reason is """I need this to run while nobody is near the machine,""" evaluate a VPS separately. If the main reason is """I want a stable local machine that is not my daily laptop,""" the dedicated box is the sharper fit.

Tradeoffs To Accept

A dedicated box is still infrastructure. You have to keep it patched, manage disk space, keep dependencies current, and decide what repos belong there. If you use a server, you also need to think about secrets, network access, and who can reach it.

The cleanest policy is simple: put only repositories on the box that you are comfortable running local agents against, keep provider authentication scoped to that machine, and review the first several runs closely before trusting longer tasks.

Junction helps with visibility, but it does not remove the need for normal engineering judgment. If an agent wants to run a risky command, change shared infrastructure, or touch a large part of the codebase, treat that as a review moment, not a notification to rubber-stamp.

Where Junction Fits

Junction is built for this split. The daemon runs on the agent box. The browser and mobile app become the control surface. On the Free plan, you can start with one saved daemon connection and two open chats. Core fits the point where you want unlimited daemons or open chats. Switchboard fits when you want Linear issue-to-pull-request automation on top of that setup.

If you are setting up the pattern for the first time, start with the Junction setup guide and one small repository. Once the box is stable, compare plans on the pricing page before adding more machines or automation.