If you’ve installed Ollama on your Mac, you’ve probably felt that mix of joy and frustration that comes with running Llama 3.x locally like a pro — until the moment you need to pull a new model. Picture this: you’re relaxing on your iPad, want to try Mistral or Qwen 3, but realize you’ll need to dig out your MacBook, open Terminal, and type another command-line incantation. The enthusiasm fades quickly.
Enter MocoLlamma — a sleek, native GUI app designed to make managing your Ollama servers and models effortless. Whether you’re on macOS, iOS, iPadOS, or even visionOS, this app bridges the gap between technical power and user-friendly control.

A Native GUI for Ollama Management
MocoLlamma is built in Swift and SwiftUI, providing a clean and responsive interface for interacting with your Ollama environments. Unlike other web-based dashboards or CLI tools, it’s a fully native experience tailored for Apple devices — perfect for those who prefer tapping over typing.
The app revolves around three main tabs:
1. Server
This tab lets you add, rename, and switch between multiple Ollama servers. Whether you’re running Ollama locally on your Mac, connecting to a remote server, or managing a cloud instance, MocoLlamma makes it easy to handle everything from one place.
2. Model
Here you’ll find a visual list of all available models on your selected server. Each entry displays model details, size, and version. You can sort, add, or remove models with a single tap — no more typing ollama list or navigating command lines. It’s a complete graphical interface for model management.
3. Chat
The Chat tab is a minimal but practical test console where you can quickly interact with a model. It’s not meant to replace ChatGPT or Open WebUI, but it’s perfect for a quick verification that your latest model pull actually works. For instance, just pulled Qwen 3? Fire up a quick chat, send a few test prompts, and confirm everything’s running smoothly.

How MocoLlamma Stands Out
Sure, there are several Ollama GUI alternatives — Open WebUI, LM Studio, Jan, GPT4All — but none of them natively support visionOS or iOS/iPadOS. MocoLlamma is the first and only app that lets you control your local LLMs directly from your iPhone, iPad, or Apple Vision Pro.
That might sound niche, but for anyone managing local AI models across multiple Apple devices, it’s a genuine game-changer.
What’s Behind the Name
The name “MocoLlamma” is a quirky blend of Model, Control, Ollama, and Manage. It’s not exactly catchy — but it perfectly sums up what the app does: control and manage Ollama models across devices.
Pricing and Availability
MocoLlamma comes in two versions:
- Free version (macOS only) — available on GitHub, licensed under MIT. Perfect for local-only use.
- Paid version ($1.99) — available on the App Store, supporting macOS, iOS, iPadOS, and visionOS.
The paid version also includes automatic updates, so you’re always running the latest build without manual installs.
Privacy and Transparency
A key highlight: MocoLlamma collects absolutely no user data. Your models, connections, and activity stay 100% private and local. It’s a refreshing contrast to the increasing number of cloud-based AI tools that log everything.
Conclusion
MocoLlamma is the missing link between Ollama’s command-line power and Apple’s user-friendly ecosystem. It gives developers, tinkerers, and AI enthusiasts a straightforward way to manage their local LLMs from anywhere — no SSH sessions or terminal windows required.
If you’re tired of juggling terminals just to pull a new model or check your setup, MocoLlamma is the lightweight, elegant solution you’ve been waiting for.
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