メイド
Maid は、ローカルで llama.cpp モデルとやり取りするための無料かつオープンソースのアプリケーションであり、Anthropic、DeepSeek、Ollama、Mistral、OpenAI のモデルをリモートで利用できます。
- スター
- 2694
- フォーク
- 289
- 最終プッシュ(UTC)
- 2026/09/14
- プロジェクト状態
- 公開中
元の README
以下は英語原文のスナップショットです。最新版は GitHub をご覧ください。
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.
カテゴリー
プロジェクトに合うリポジトリを選ぶには?
用途で絞り込み、開発状況を比較し、採用前に元のリポジトリで要件を確認しましょう。
- 名前・作者・説明で検索し、技術トピックで絞り込みます。
- スター、フォーク、最近のプッシュを比較します。スターは関心の目安であり、品質の保証ではありません。
- 利用前に GitHub で README、ライセンス、Issues を確認します。
情報源と管理
“A repository is the most basic element of GitHub.”
GitHub Docs — About repositories ↗