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Google AI Edge Gallery - AI SDKs and Libraries Tool

Overview

Google AI Edge Gallery is an open-source Android app and developer toolkit that demonstrates running generative AI models fully on-device using MediaPipe and the LiteRT runtime. The project is intended as a reference implementation for building privacy-preserving, low-latency generative experiences that execute without cloud connectivity, combining MediaPipe pipelines with optimized on-device runtimes to show how end-to-end inference and user interaction can be implemented on mobile hardware. The repository contains a reference Android application plus toolkit components and integration code to run and profile generative-model pipelines on-device. It targets developers who want a practical example of packaging generative models into mobile apps, measuring performance, and leveraging on-device acceleration. According to the GitHub repository, the project is actively maintained under an Apache-2.0 license and has attracted significant community attention (14,791 stars, 1,262 forks as of the repository metadata).

GitHub Statistics

  • Stars: 14,791
  • Forks: 1,262
  • Contributors: 9
  • License: Apache-2.0
  • Primary Language: Kotlin
  • Last Updated: 2025-12-18T17:11:41Z
  • Latest Release: 1.0.9

According to the GitHub repository, Google AI Edge Gallery has 14,791 stars, 1,262 forks, and 9 contributors, and is licensed under Apache-2.0. The project shows recent activity (last commit recorded on 2025-12-18), indicating active maintenance. The star and fork counts reflect strong community interest; however the contributor count suggests development is primarily driven by a small core team. Issues and pull requests on the repository provide the primary channels for community feedback and contributions.

Installation

Install via docker:

git clone https://github.com/google-ai-edge/gallery.git
cd gallery
Open the project in Android Studio (or run ./gradlew assembleDebug) to build and install the reference Android app

Key Features

  • Run generative AI models fully on-device using MediaPipe and LiteRT integration
  • Reference Android app demonstrating end-to-end on-device generative pipelines
  • Tooling to load, run, and profile model performance on mobile hardware
  • Optimized for on-device runtimes and hardware acceleration where available
  • Apache-2.0 open-source license enabling commercial and research use

Community

Community interest is high—GitHub shows 14,791 stars and 1,262 forks—while a smaller core of contributors (9) maintains the codebase. Issues and PRs on the repository are the primary feedback channels; recent commits (latest recorded 2025-12-18) show ongoing maintenance. Documentation and example app code make the project accessible for mobile developers experimenting with on-device generative AI.

Last Refreshed: 2026-01-09

Key Information

  • Category: SDKs and Libraries
  • Type: AI SDKs and Libraries Tool
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