Mobile-Artificial-Intelligence/maid has 2,755 GitHub stars and 306 forks. GitHot measured -1 stars in 24 hours. Last checked 2026-11-06 20:38 UTC. Last push 2026-10-29.
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.
What you can do
- 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
Measured star growth
- in 24h
- -1
- in 7 days
- Collecting history
- in 15 days
- Collecting history
- in 1 month
- Collecting history
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalMaid - 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, 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.
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