Agents Never Sleep vs box: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agents Never Sleep and box — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Agents Never Sleep
Agents Never Sleep
A tiny $4.99 Mac menu bar app that keeps long-running AI agents alive with the laptop lid closed, using one three-level slider.
Key features
- Closed-Lid Operation: Keeps agents and background jobs running with the MacBook lid shut, which the built-in caffeinate command cannot do.
- Three-Level Slider: One control with Sleepy, Awake, and Never sleeps settings, so changing sleep behavior takes a single drag rather than a terminal command.
- Menu Bar Only: Lives entirely in the menu bar with no window, dock icon, or configuration screens to manage.
- Native and Tiny: A small native macOS binary rather than a wrapped web app, minimizing overhead on a machine already running agents.
- Zero Data Collection: No telemetry, analytics, or tracking; what runs on the machine stays on the machine.
- Safe Revert: Toggling back down restores normal sleep behavior, avoiding the common mistake of leaving sudo pmset -a disablesleep 1 permanently enabled.
- No-Questions Refund: A 14-day money-back guarantee with no form to fill in and no reason required.
Best for
- Overnight Agent Runs: Letting a coding agent work through a long task while the laptop is closed and put away.
- Long Builds and Tests: Preventing a multi-hour build, test suite, or data job from being interrupted mid-run by sleep.
- Mobile Working: Carrying a MacBook between rooms or offices without propping the lid open to keep a job alive.
- Model Downloads and Training: Keeping large model downloads or local fine-tuning runs going unattended.
- Avoiding pmset Mistakes: Replacing manual sudo pmset toggles that are easy to enable and easy to forget to undo.
- Remote Sessions: Keeping a Mac reachable and working for a remote session or background service while it sits closed on a desk.
box
ASCII
box is a cheap, powerful Linux VM sandbox for AI agents — a persistent Ubuntu machine with SSH, Docker, a virtual desktop, and fast snapshot forking.
Key features
- Persistent Linux VM per Agent: Each box is a real Ubuntu virtual machine with SSH and SCP access, not a stubbed or ephemeral container.
- Dedicated IPv4 Address: Every machine gets its own public IPv4, so outbound traffic and network-scoped tools behave like a real server.
- 60fps Virtual Desktop: A high-framerate virtual desktop lets vision-enabled agents interact with GUI apps and browsers naturally.
- Disk-Level Snapshot Forking: Fork a machine from a snapshot in seconds so agents can branch execution and discard failed paths cheaply.
- Docker-in-Box: Docker runs inside the VM, so agents can build and run containerized workflows without a nested-host bailout.
- Preloaded Agent Toolkit: Ships with Docker, VS Code, Chrome, Ghostty, GitHub CLI, Rust, Node.js, and Bun preinstalled.
- Cross-Platform CLI: A single install command (curl or PowerShell) drops a fetch-friendly CLI on macOS, Linux, and Windows for both agents and humans.
Best for
- Agent Factories: Spin up thousands of isolated Linux sandboxes as the substrate for a fleet of autonomous agents.
- Coding Agent Environments: Give a coding agent a real machine to clone repos, run tests, and open a browser during work.
- Browser Automation with Vision: Run a full Chrome instance on the virtual desktop so a vision agent can drive real web UIs.
- Task Branching: Snapshot a VM before a risky action, fork to try alternatives, and merge back the winning path.
- Reproducible Bug Repros: Fork a known-good snapshot to reproduce a bug in an identical environment on demand.
- Human + Agent Shared Workspace: A human developer SSHes into the same box an agent is working in for pair debugging.