maid

Mobile-Artificial-IntelligenceMIT活跃维护

一个跨平台本地大模型聊天客户端,通过统一界面连接 llama.cpp 本地模型以及 Anthropic、OpenAI、DeepSeek、Ollama 等远程服务。

Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely.

v3.0.0发布于 2026-03-10 11:09 UTC2,768star +6 / 7 天308fork同步于 2026-11-10 17:44 UTC

怎么上手

由 README 提炼,执行前请确认
git clone https://github.com/Mobile-Artificial-Intelligence/maid.git
yarn install
yarn build-android
硬件要求按 README 说明

README 只说明应用面向 Android,本地推理依赖 llama.cpp 运行 GGUF 模型;未给出具体显存或内存要求。

下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

由 README 自动翻译提炼

在 Android 手机上本地跑 GGUF 模型,也能接入多家云端大模型 API 的聊天客户端

一个跨平台本地大模型聊天客户端,通过统一界面连接 llama.cpp 本地模型以及 Anthropic、OpenAI、DeepSeek、Ollama 等远程服务。

核心能力

  • 用 llama.cpp 在设备本地离线运行 GGUF 模型
  • 填写自己的 API Key 接入 Anthropic、OpenAI、DeepSeek、Ollama 等远程服务
  • 在应用内浏览并一键下载 Hugging Face 上的精选模型
  • 支持从本地存储加载任意 GGUF 文件
  • 按会话调节 temperature、top-p、top-k 与上下文长度

容易踩的坑

本地推理需自备 GGUF 模型文件,或通过应用内下载获取;语音输出需另装配套应用 Maise;构建产物在 android/app/build/outputs/apk/release 目录下。

内容由模型根据 README 生成,可能不完整或不准确,以官方文档为准。看原文 README

最近发版

5 个版本v3.0.0
  1. v3.0.0最新正式版2026-03-10 · 2026-03-10 11:09 UTC

    Whats New

    • Add vision model Support
    • Add system text to speech support
    • Add system speech recognition support
    • Add reasoning support
    • Add markdown rendering
    • Add upvote / downvote report functionality (Google Requirement)

    New Contributors

  2. v2.0.72025-04-25 · 2025-04-25 01:15 UTC
    查看更新说明
    • Add Arabic Locale
    • Add Dutch Locale
    • Add Portuguese Locale
  3. v2.0.62025-04-18 · 2025-04-18 02:40 UTC
    查看更新说明
  4. v2.0.52025-04-07 · 2025-04-07 11:17 UTC
    查看更新说明
    • Add Polish Locale
    • Add Vietnamese Locale
    • Add warning for NSFW model
  5. v2.0.42025-04-01 · 2025-04-01 01:00 UTC
    查看更新说明

用户点评

登录用户的真实使用记录,可按版本和硬件筛选
共 0 条

    还没有人点评。第一个说出真实体验的人最有价值。

    README 原文

    未翻译

    Maid - Mobile Artificial Intelligence Distribution

    Build Android Build Manual Test Code Quality

    Maid is a free and open source application for interfacing with llama.cpp models locally, and with API Route, Anthropic, DaoXE, DeepSeek, Mistral, Novita, Ollama, llmman, OrcaRouter, LiteLLM, Opper, Runcrate and OpenAI models remotely. Maid is built using React Native and is available for Android. The application is designed to be fast, efficient and user-friendly, making it easy for users to interact with their models on the go.

    For text to speech functionality check out Maid's companion app Maise.

    Features

    • Local inference — run GGUF models fully on-device via llama.cpp; no internet required
    • Remote providers — connect to API Route, Anthropic, DaoXE, DeepSeek, Mistral, Novita, Ollama, llmman, Opper, OrcaRouter, Runcrate, and OpenAI with your own API key, or to a self-hosted LiteLLM proxy for 100+ providers behind one endpoint
    • One-tap model downloads — browse and download curated Hugging Face models (Qwen, Phi, LFM, TinyLlama, and more) directly from the app
    • Bring your own model — load any GGUF file from local storage
    • Conversation management — create, rename, delete, export, and import chats as JSON
    • Customisable parameters — tune temperature, top-p, top-k, context length, and other generation parameters per session
    • Custom system prompt — set a global system prompt and assistant persona
    • Voice output — pair with Maise for text-to-speech
    • Material You theming — light and dark themes that follow your system preference
    • Fully open source — MIT licensed, no telemetry, no ads

    Manual

    The user manual is available from releases in PDF format, or can be built from source using the instructions below.

    Cloning

    To clone the repository, use the following command:

    git clone https://github.com/Mobile-Artificial-Intelligence/maid.git
    

    Setup

    Run the following command to install dependencies:

    yarn install
    

    Testing

    Run the test suite with:

    yarn test
    

    Building

    To build the project, use the following command:

    yarn build-android
    

    The output APK will be located in the android/app/build/outputs/apk/release directory.

    Disclaimer

    Maid is distributed under the MIT licence and is provided without warranty of any kind, express or implied. Maid is not affiliated with Huggingface, Meta (Facebook), MistralAi, OpenAI, Google, Microsoft or any other company providing a model compatible with this application.

    Signing

    Signing Key Fingerprint

    MD5: BE:AC:29:41:F5:41:D2:26:42:DD:D1:A3:85:21:E1:16

    SHA-1: 48:F6:DC:73:09:CE:19:C6:A9:70:7E:A2:9A:B7:6F:42:2D:41:32:30

    SHA-256: 83:5E:D2:2E:D8:95:C4:C2:72:D6:98:AA:6E:4E:48:DB:0B:4E:36:DC:CF:70:10:D5:DE:15:03:4A:C9:E1:B9:6F

    Upload Key Fingerprint

    MD5: C0:86:A0:F3:E8:E5:4D:46:60:8A:37:4E:DB:11:CC:C7

    SHA-1: 77:FC:77:2B:21:5E:9F:36:31:79:09:DF:7D:F4:1F:CA:96:0C:39:17

    SHA-256: 54:EE:B9:9F:14:38:D9:68:9B:C2:C6:7F:F9:DD:A3:E3:D8:28:D3:80:76:46:B7:24:46:71:9F:61:D9:63:E6:98

    License

    This project is licensed under the MIT License.