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NoMac vs Ryph

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

NoMac compared with Ryph
DetailNoMac logo NoMacRyph logo Ryph
What it doesOn-demand cloud macOS for AI agents, billed per minute Open-source AI agent orchestration platform for incident response and automation
StageStartup Not given
Founded2026 Not given
Based inNot given Not given
Pricing modelPaid Open source
Pricing$0.90 per hour, billed per minute. Prepaid credit starts at $10, never expires and needs no subscription. Bigger top-ups add up to 20% bonus credit: $100 buys 133 hours. 7-day money-back guarantee on first purchase. Not given
Key features
  • Real macOS on Apple M6 or M5 Pro silicon, ready in about a minute
  • Full admin access with no password prompts
  • Xcode 27 preinstalled with Homebrew, Node, Python and CocoaPods
  • iOS Simulator with screenshots and screen recordings
  • Persistent 20 GB encrypted drive between sessions
  • Control via MCP, CLI, API or SSH
  • App Store submissions and TestFlight uploads
  • Secrets management without chat exposure
  • Desktop view and control in browser
  • Incident response with agent investigation and pull request generation
  • Automated workflows triggered on schedules or webhooks
  • Agent summoning from GitHub, GitLab and Radicle with /ryph command
  • Semantic memory system for shared and persistent agent learning
  • Credentials kept behind gateways with no access in sandbox
  • Customized environments per repository with cached dependencies
  • Browser use for agent interactions with live watching
  • Artifacts and pages for reports and overviews
  • Deployment options from laptop to Kubernetes
  • Tool proxy with allowlisted MCP server integrations
What makes it different
  • Agents work autonomously without human prompts or permission dialogs
  • Pay only for minutes used, not idle Mac time
  • Complete end-to-end app building and publishing from iOS Simulator to App Store
  • Built-in isolation and security with ephemeral sessions
  • Agents work without holding real credentials or keys
  • Changes ship as patches that require review before merge
  • Runs on your own infrastructure from laptop to cloud
  • Semantic memory learns across runs with deduplication and contradiction handling
  • Built-in safety assuming agents can be manipulated or exploited
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)20 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)130
Citation Flow (Majestic)280
Referring domains (Majestic)1400

4 details filled in for both companies.

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