ModelNap

ModelNap

Your local AI, on only when you use it

0upvotes
Launched September 28, 2026

About ModelNap

ModelNap is a lightweight, open-source menu bar application designed for macOS users who work with AI models locally. It offers a simple yet effective way to manage AI models like Ollama and Splash, allowing users to turn them on or off with a single click and unload idle models from memory to optimize system performance. Its core strength lies in providing a seamless, no-fuss solution for developers and AI enthusiasts who prefer local models over cloud-based solutions, ensuring privacy and control. The app is compatible with macOS 14 and above, emphasizing ease of use without requiring accounts or telemetry, making it an appealing choice for privacy-conscious users. ModelNap's flexibility in starting and stopping models exactly how they were initiated (via Ollama.app, brew services, or ollama serve) sets it apart as a practical tool for managing local AI workflows efficiently.

Screenshots

ModelNap screenshot 1
ModelNap screenshot 2
ModelNap screenshot 3

Pros

  • ✓Open source and free to use
  • ✓Simple, user-friendly menu bar interface
  • ✓Supports multiple methods to start models (Ollama.app, brew, ollama serve)
  • ✓Unloads idle models to optimize system resources
  • ✓No account, telemetry, or data collection

Cons

  • ✗Limited to macOS 14+ only
  • ✗Focuses primarily on Ollama and Splash, may not support other models out of the box
  • ✗Requires some familiarity with local model management

Use Cases

1Managing local AI models for development or testing
2Reducing memory usage by unloading idle models during intensive workflows
3Quickly toggling AI models on and off during presentations or demos
4Ensuring privacy by avoiding cloud-based model hosting
5Optimizing system resources on macOS during AI development
6Automating model management in local AI projects

Pricing

Pricing not verified

Quick Info

Upvotes0
Comments1
Launched9/28/2026

Topics

MacOpen SourceArtificial IntelligenceGitHub

Makers

Erik Taveras

Erik Taveras

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