Mollama

By: 飞杨 App

On-Device AI, Total Privacy

Overview

Version:

1.2.2

Last updated: 2025-06-25

Ranking

#221,316 ▼ 2,400

Overall

Features & Capabilities

Mollama: Your Intelligent AI Companion, Running Entirely On-Device

Mollama is a privacy-first, secure AI assistant that processes everything locally on your device. It offers intelligent conversations, creative support, and problem-solving capabilities without sending your data to external servers.

Privacy and Security

Fully on-device processing: Complete control over your data, no cloud dependency
Zero data transmission: No collection, storage, or sharing of personal information

Core Technologies: MLX and Ollama

Powered by Apple Neural Engine: Efficient on-device AI for optimized performance
Open-source language models: Flexibility to choose models suited to different tasks

Key Features

Offline functionality: Operates seamlessly without internet after initial setup
Real-time interaction: Natural conversation experience with quick responses
Multi-model support: Adapts to various tasks with different AI models
Contextual understanding: Remembers conversation history for consistent replies
User-friendly interface: Intuitive design for easy and straightforward use

Ideal for

Developers: Code generation, debugging, technical assistance
Writers: Creative writing, text editing, brainstorming
Students: Homework help, research support, exam preparation
Professionals: Email drafting, report generation, data analysis
Creatives: Idea generation, storytelling, problem-solving
Lifelong learners: Exploring knowledge across multiple fields

Technical Highlights

MLX integration: Unlocks the full potential of Apple's machine learning accelerator
Ollama support: Effortless management of large open-source language models
Resource-efficient: Optimizes performance while minimizing battery usage

Privacy Commitment

All data is processed locally on your device; we do not collect or transmit any personal information, ensuring your privacy is always protected.

Get Started

Download Mollama now to explore the next generation of AI technology, combining intelligence with top-notch privacy protection.

Important Notes

Storage requirements: Sufficient device space is needed for AI model operation
Device performance: Experience may vary based on hardware specifications

Download Mollama now and step into a new era of secure, private AI experiences.

User Growth & Download Statistics

App

By:

飞杨

Rating:

3.40

(36) 1 ratings

Version:

1.2.2 Last updated: 2025-06-25

Version code:

875838028

Creation date:

2024-10-16

Compatible devices:

Size:

295.63MB

URLs:

Full description:

Source:

Apple Apps Store

Data ingested on:

2026-08-15

Compare stats and ranking:

Ranking

# 221,316 ▼ 2,400

For Developers

Monetize with App Pass Boost with Extension Booster

Contact the developer

Chrome-Stats does not own this Apple app. Please use these information below to contact the Apple app developer.

Developed by:

飞杨

Apple Apps Store

https://apps.apple.com/us/app/mollama/id6736948278

User Reviews

Users generally praise Mollama for on-device MLX support, dual local/remote model access, and a simple UI with usable chat history. However, widespread crashes, slow and unreliable model downloads, compatibility gaps for certain models, and large-model/RAM limitations dominate the negatives. Connectivity issues are also mentioned. It’s effective for small, local models but becomes unreliable for larger models or certain configurations.

Pros

On-device MLX/local model execution using Apple hardware
Supports both local and API models, offering flexibility
Simple, accessible UI with usable chat history
Model/file management features (export/import) and support for open-source models

Cons

Frequent crashes and instability across devices and queries
Downloading and loading models is slow and progress indicators are inaccurate, with downloads hanging or taking very long
Compatibility and support gaps: popular models (e.g., Gemma) and newer model types (e.g., qwen3, Ollama turbo) are not supported
Large-model support issues: very large or RAM-heavy models crash or fail to load
Some users report connectivity or server loading issues where external models cannot be retrieved or displayed