Agents Never Sleep vs Draft: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agents Never Sleep and Draft — 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.
D
Draft
InnoSage
Local-first, block-based text editor for capturing, editing, searching, and sharing notes with privacy-focused hybrid storage.
Key features
- Block-based Editor: Edit content as modular blocks that can be rearranged, edited, and composed to build structured notes and drafts.
- Hybrid Storage Architecture: Local-first storage model that keeps data in the browser or local workspace by default, with managed remote storage options defined by the service terms.
- Browser Extension Capture: A companion extension that captures web page content and AI-chat outputs directly into the Draft workspace for quick clipping and reuse.
- Privacy-Focused Defaults: Default local storage and privacy-centric policies reduce cloud exposure of user text unless the user opts into remote features.
- Searchable Workspace: Fast search across local content and captured items to quickly locate snippets, notes, and drafts.
- Selective Sharing & Export: Controls to share or export content when the user chooses, enabling private drafting with optional collaboration or distribution.
- Local-first storage: content stored in browser/local workspace by default
- Hybrid Storage architecture combining local storage with optional remote/workspace options
- Block-based text editing interface
- Browser extension for capturing web or AI-chat content into Draft workspace
- Search across stored content
- Share functionality to export or share content when chosen
Best for
- Research Capture: Clip excerpts, quotes, and web content via the browser extension into a local workspace for organized research and reference.
- Drafting and Writing: Compose articles, blog posts, and longform drafts using block-based editing that simplifies rearranging sections.
- Saving AI-Chat Outputs: Store and organize responses from AI chat sessions by capturing them directly into Draft for review and reuse.
- Private Journaling: Maintain personal journals or notes stored locally for privacy-sensitive writing without default cloud exposure.
- Offline-First Note Access: Work on notes and drafts offline with local browser storage, syncing or backing up only when the user opts in.
- Controlled Sharing: Prepare and selectively share documents or export content when collaboration or publication is required.
- Privacy-sensitive note-taking and drafting where local storage is required
- Capturing and archiving snippets from web pages or AI chat sessions via browser extension
- Research and writing workflows that need quick capture, edit, and search locally
- Offline-first editing and content management in the browser