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Mobile-Artificial-Intelligence/maid

Maid는 로컬에서 llama.cpp 모델과 상호작용하고, 원격으로 Anthropic, DeepSeek, Ollama, Mistral 및 OpenAI 모델과 상호작용할 수 있는 무료 오픈소스 애플리케이션입니다.

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2026. 9. 14.
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Mobile Artificial Intelligence ↗

Mobile Artificial Intelligence Distribution

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원본 README

아래는 영문 원문 스냅샷입니다. 최신 내용은 GitHub에서 확인하세요.

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Maid - Mobile Artificial Intelligence Distribution

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 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, OrcaRouter, and OpenAI with your own API key
  • 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
  • Optional account sync — register / log in to back up settings and chat history via Supabase
  • 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.