Showing 14 open source projects for "android runtime permissions"

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    Context for your AI agents

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  • 1
    shadowhook

    shadowhook

    Android inline hook library which supports thumb, arm32 and arm64

    shadowhook is an open-source native code hooking library for Android — designed to let developers intercept and override native (C/C++) functions inside Android apps at runtime. It supports both ARM32 and ARM64 architectures (and the respective “thumb” instruction set) and works across a wide range of Android OS versions. The library allows you to specify hook targets either by function address or by library name + function name, and it automatically handles newly loaded shared libraries (ELFs), ensuring hooks remain effective even when code is dynamically loaded at runtime. ...
    Downloads: 1 This Week
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  • 2
    whisper.cpp

    whisper.cpp

    Port of OpenAI's Whisper model in C/C++

    whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples....
    Downloads: 553 This Week
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  • 3
    ByteHook

    ByteHook

    ByteHook is an Android PLT hook library

    ByteHook is a ByteDance-hosted project whose name suggests a hooking or instrumentation library, likely used for hooking system calls or API calls for monitoring, sandboxing or instrumentation. The repository appears to aim at low-level hooking/injection capabilities, perhaps to support runtime introspection, behavioral monitoring, or hooking-based instrumentation (e.g. for security, tracing, sandboxing, or debugging). Because hooking is a common technique for intercepting library or system...
    Downloads: 0 This Week
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  • 4
    ChatMCP

    ChatMCP

    ChatMCP is an AI chat client implementing the Model Context Protocol

    ChatMCP is a cross‑platform AI chat client that implements the Model Context Protocol (MCP) to provide unified chat experiences across environments—including desktop, mobile, and web—with synchronization and protocol support tailored for MCP. You can install MCP Server from MCP Server Market, MCP Server Market is a collection of MCP Server, you can use it to chat with different data. Tested on major distributions: Ubuntu, Fedora, Arch Linux, openSUSE. Improved Experience: Latest versions...
    Downloads: 6 This Week
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    Leverage AI to Automate Medical Coding

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  • 5
    td

    td

    Telegram client, in Go. (MTProto API)

    Telegram MTProto API client in Go for users and bots.
    Downloads: 1 This Week
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  • 6
    Agent Payments Protocol (AP2)

    Agent Payments Protocol (AP2)

    Building a Secure and Interoperable Future for AI-Driven Payments

    ...In effect, AP2 aims to define a secure, interoperable protocol that allows software agents to act on behalf of users—making payments or shopping decisions autonomously—while preserving necessary security, auditability, and trust. The repository contains sample scenarios (in Python, Android, etc.) that illustrate how agents, servers, and payments flows would work under the protocol. It includes “types” definitions (the core message and object schema) and example agent implementations to demonstrate the mechanics of agent-to-agent and agent-to-server interactions. The design emphasizes flexibility: although their samples use a particular Agent Development Kit (ADK) or runtime, the protocol is intended to be independent of those choices.
    Downloads: 0 This Week
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  • 7
    Porcupine

    Porcupine

    On-device wake word detection powered by deep learning

    ...Compact and computationally-efficient. It is perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, and BeagleBone. Android and iOS. Chrome, Safari, Firefox, and Edge. Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64). Scalable. It can detect multiple always-listening voice commands with no added runtime footprint. Self-service. Developers can train custom wake word models using Picovoice Console. Porcupine is the right product if you need to detect one or a few static (always-listening) voice commands. ...
    Downloads: 1 This Week
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  • 8
    mirai

    mirai

    Efficient QQ Robot support library

    mirai is a high-efficiency robot library that runs on all platforms and provides QQ Android protocol support. mirai is completely free and open-source software for learning and entertainment use only. mirai will not impose fees or impose material conditions on users in any way. mirai is maintained by the entire open source community and is not the work of an individual. All contributors enjoy the copyright of their work. If citing a package published by mirai without modifying mirai, derived...
    Downloads: 5 This Week
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  • 9
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...
    Downloads: 0 This Week
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  • 10
    KotlinDL

    KotlinDL

    High-level Deep Learning Framework written in Kotlin

    KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning models in production environments.
    Downloads: 0 This Week
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  • 11
    MemoryLeakDetector

    MemoryLeakDetector

    Native memory leak monitoring tool

    memory-leak-detector is a native memory-leak monitoring tool developed by ByteDance (originally for their video-app team) that helps developers detect, diagnose, and manage memory leaks in native (e.g. C/C++) code across Android applications. It offers relatively simple integration and wide monitoring coverage: by configuring the tool (or via broadcast control), developers can start leak detection for specific native libraries or entire processes. Upon activation, it tracks allocations /...
    Downloads: 0 This Week
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  • 12
    React Native Voice

    React Native Voice

    React Native Voice Recognition library for iOS and Android

    ...Every time you change the props or plugins, you'll need to rebuild (and prebuild) the native app. If no extra properties are added, defaults will be used. While the included VoiceTest app works without explicit permissions checks and requests, it may be necessary to add a permission request for RECORD_AUDIO for some configurations. Since Android M (6.0), user need to grant permission at runtime (and not during app installation).
    Downloads: 0 This Week
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  • 13
    MACE

    MACE

    Deep learning inference framework optimized for mobile platforms

    Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes obligatory when running a model. ...
    Downloads: 0 This Week
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  • 14
    BoostMultiDex

    BoostMultiDex

    Load multiple dex files on low Android version devices

    BoostMultiDex is a specialized Android-library created by ByteDance to address a long-standing performance and user-experience problem on older Android devices (specifically Android 4.x and below, i.e. SDK < 21), where loading multiple dex files after installation or upgrade can lead to extremely long “black-screen” freeze times during first startup. Instead of relying on the standard Android MultiDex mechanism, BoostMultiDex reworks the loading strategy by tapping into hidden Dalvik VM internals so that original DEX bytecode can be loaded directly, bypassing costly ODEX generation. ...
    Downloads: 0 This Week
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