Agents Never Sleep vs Granter: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agents Never Sleep and Granter — 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.
Granter
Granter / Granter.ai
AI-powered platform that finds grant opportunities, drafts tailored applications, and manages projects after award.
Key features
- Opportunity Discovery: Uses AI-driven matching to scan funding databases and surface grant calls aligned to an organization's profile, eligibility, and project goals, reducing manual search time.
- Tailored Application Drafting: Generates draft proposals, answers to funder questions, and budgets customized to specific funder criteria and language to improve proposal relevance and coherence.
- Compliance and Eligibility Checking: Analyzes funder rules and applicant data to flag eligibility issues, required attachments, and compliance risks before submission.
- Post-Award Project Management: Tracks milestones, deliverables, budgets, and reporting deadlines for awarded projects and helps generate required progress and financial reports.
- Collaboration and Versioning: Provides shared workspaces for teams to co-author applications, review AI drafts, capture reviewer feedback, and maintain version history for submissions.
- Funder-Specific Formatting and Templates: Applies funder-specific templates, word limits, and formatting rules automatically to ensure submissions meet technical requirements.
- Automated discovery of relevant grant and public funding opportunities
- AI-assisted generation of tailored grant application content
- Templates and document generation for application submissions
- Post-approval project management and compliance tracking
- Deadline and milestone tracking for grant workflows
- Collaboration features for teams preparing applications
- Match/scoring of opportunities to organization profiles and projects
- Centralized repository for grant documentation and status
Best for
- Startup R&D Funding: Helping a tech startup discover national R&D grants, draft funder-tailored proposals, and prepare a compliant budget to increase chances of award.
- Nonprofit Program Grants: Assisting a nonprofit to identify charitable and government grants, generate application narratives from program data, and manage reporting after funding is received.
- University Research Administration: Enabling university research offices to scale pre-award support by automatically matching faculty projects to funding calls and producing draft applications for review.
- Consultancy Scaling: Allowing grant consultants to accelerate proposal throughput by using AI-generated first drafts and standardized templates across multiple clients.
- Post-Award Compliance: Tracking milestone completion and automating the creation of interim and final reports to meet funder reporting requirements and avoid penalty or clawbacks.
- Startups and SMBs searching for public grants suited to their product or R&D
- Research institutions preparing complex funding proposals
- Nonprofits applying for program and operational grants
- Grant managers coordinating multiple applications and post-award reporting
- Consultancies and advisors automating parts of proposal drafting and submission