LocalMind

A Fully Offline, On-Device AI Assistant for Android

LocalMind is a privacy-first AI assistant that runs entirely on your Android device. It uses on-device Large Language Models (LLMs) powered by Alibaba’s MNN (Mobile Neural Network) framework to deliver fast, secure, and responsive AI interactions — without cloud servers and without an internet connection.

Once models are downloaded, LocalMind works completely offline.

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🚫 No Internet Required

LocalMind is built with a strict offline-first design.

• ❌ No internet required for chat
• ❌ No cloud APIs
• ❌ No background network calls
• ❌ No data uploads
• ❌ No user tracking

📌 Internet is required only once — to download models. After that, everything works in offline mode.

All inference, voice processing, vision analysis, and document Q&A run locally on-device.

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👉 Click here to [download]

Demo

IMG_6728.MOV

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System Requirements

• Android: Android 10+
• 📌 Requires 6-8 GB RAM minimum
• Storage: Depends on model size
• Internet: Required only for model download
• Inference: Fully on-device (offline after download)

Key Features

🔒 On-Device AI Chat (100% Offline)

• Interact with powerful LLMs directly on your phone
• Inference runs locally using MNN
• Conversations never leave your device

🧠 Model Marketplace

• Discover and download open-source models from Hugging Face
• Pause and resume downloads
• Local model storage and management

🖼️ Multi-Modal Vision Support (Offline)

• Vision-Language Models (VLMs)
• Analyze images and ask questions locally
• No image uploads or remote processing

📄 PDF Question & Answering

• Load PDF documents on-device
• Ask questions about their content
• Ideal for research, study, and technical documents

🎨 Modern Android UI

• Built with Jetpack Compose and Material 3
• Fully declarative, responsive UI
• Designed for performance and clarity

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Architecture Overview

LocalMind is a modular Android application designed for performance, scalability, and maintainability.

🔧 Core Components

Core Inference Engine

• Powered by MNN (Mobile Neural Network)
• Native, high-performance on-device inference
• Low-latency responses without cloud dependency

Model Management (:model_downloader)

• Dedicated module responsible for:

  • Fetching model metadata
  • Downloading models from Hugging Face
  • Progress tracking and resume support
  • Local model storage

Chat & Session Management

• LlmSession manages:

  • Prompt handling
  • Streaming token generation
  • Interaction state with the active model

Fully offline end-to-end voice loop

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Tech Stack

Android

• Language: Kotlin (100%)
• UI: Jetpack Compose, Material 3
• Async: Coroutines & Flows
• Dependency Injection: Koin
• Data Storage: Jetpack DataStore

AI / ML

• MNN (Mobile Neural Network) – On-device inference
• Hugging Face API – Model discovery & downloads

Networking

• Ktor
• Retrofit
• OkHttp (Used only for model downloads)

Debugging & Tooling

• Stetho with custom dumpapp plugins

Supporting Libraries

• Markwon – Markdown rendering in chat responses
• PDFBox – PDF parsing and text extraction

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Privacy & Offline Philosophy

LocalMind follows a local-only execution model.

• All AI inference runs on-device
• Internet access is optional after model download
• No remote servers, ever
• No logging, analytics, or telemetry

If your phone has:

• No signal
• No Wi-Fi
• Airplane mode enabled

👉 LocalMind still works.

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Base Project

LocalMind is based on Alibaba’s MNN Android LLM framework, heavily reconfigured and extended to support:

• Offline-first architecture
• Multi-modal interaction
• Model marketplace
• PDF Q&A
• Modern Jetpack Compose UI

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Expect:

• Performance optimizations
• UI improvements

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