[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10724":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":39,"readmeContent":40,"aiSummary":41,"trendingCount":16,"starSnapshotCount":16,"syncStatus":42,"lastSyncTime":43,"discoverSource":44},10724,"maid","Mobile-Artificial-Intelligence\u002Fmaid","Mobile-Artificial-Intelligence","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.","",null,"TypeScript",2539,266,37,9,0,10,73,4,29.28,"MIT License",false,"main",[25,26,27,28,29,30,31,32,33,34,35,36,37,38],"android","anthropic","chatbot","chatgpt","claude","deepseek","facebook","gguf","llama","llama-cpp","mistral","mobile-artificial-intelligence","ollama","openai","2026-06-12 02:02:25","\u003Cdiv align=\"center\" id = \"top\">\n  \u003Cimg alt=\"logo\" height=\"200px\" src=\"https:\u002F\u002Fraw.githubusercontent.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Fmain\u002Fassets\u002Fgraphics\u002Flogo.svg\">\n\u003C\u002Fdiv>\n\n# Maid - Mobile Artificial Intelligence Distribution\n\n\u003Cdiv align=\"center\">\n  \n[![Build Android](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Factions\u002Fworkflows\u002Fbuild-android.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Factions\u002Fworkflows\u002Fbuild-android.yml)\n[![Build Manual](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Factions\u002Fworkflows\u002Fbuild-manual.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Factions\u002Fworkflows\u002Fbuild-manual.yml)\n[![Test](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Factions\u002Fworkflows\u002Ftest.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Factions\u002Fworkflows\u002Ftest.yml)\n[![Code Quality](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Factions\u002Fworkflows\u002Fgithub-code-scanning\u002Fcodeql\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Factions\u002Fworkflows\u002Fgithub-code-scanning\u002Fcodeql)\n\n\u003C\u002Fdiv>\n\n\u003Cdiv align=\"center\">\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Freleases\u002Flatest\">\n\u003Cimg\n  src=\"https:\u002F\u002Fraw.githubusercontent.com\u002FNeoApplications\u002FNeo-Backup\u002Frefs\u002Fheads\u002Fmain\u002Fbadge_github.png\"\n  alt=\"Get it on GitHub\"\n  width=\"210\" \n\u002F>\n\u003C\u002Fa>\n\u003Ca href='https:\u002F\u002Fplay.google.com\u002Fstore\u002Fapps\u002Fdetails?id=com.danemadsen.maid&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1'>\n\u003Cimg \n  src='https:\u002F\u002Fplay.google.com\u002Fintl\u002Fen_us\u002Fbadges\u002Fstatic\u002Fimages\u002Fbadges\u002Fen_badge_web_generic.png'\n  alt='Get it on Google Play'\n  height=\"80\"\n\u002F>\n\u003C\u002Fa>\n\u003C\u002Fdiv>\n\nMaid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Mistral, Novita, Ollama 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.\n\nFor text to speech functionality check out Maid's companion app [Maise](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaise).\n\n## Features\n\n- **Local inference** — run GGUF models fully on-device via llama.cpp; no internet required\n- **Remote providers** — connect to Anthropic, DeepSeek, Mistral, Novita, Ollama, and OpenAI with your own API key\n- **One-tap model downloads** — browse and download curated Hugging Face models (Qwen, Phi, LFM, TinyLlama, and more) directly from the app\n- **Bring your own model** — load any GGUF file from local storage\n- **Conversation management** — create, rename, delete, export, and import chats as JSON\n- **Customisable parameters** — tune temperature, top-p, top-k, context length, and other generation parameters per session\n- **Custom system prompt** — set a global system prompt and assistant persona\n- **Voice output** — pair with [Maise](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaise) for text-to-speech\n- **Optional account sync** — register \u002F log in to back up settings and chat history via Supabase\n- **Material You theming** — light and dark themes that follow your system preference\n- **Fully open source** — MIT licensed, no telemetry, no ads\n\n## Manual\n\nThe user manual is available from [releases](https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid\u002Freleases\u002Flatest) in PDF format, or can be built from source using the instructions below.\n\n## Cloning\nTo clone the repository, use the following command:\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FMobile-Artificial-Intelligence\u002Fmaid.git\n```\n\n## Setup\nRun the following command to install dependencies:\n\n```bash\nyarn install\n```\n\n## Testing\nRun the test suite with:\n\n```bash\nyarn test\n```\n\n## Building\nTo build the project, use the following command:\n\n```bash\nyarn build-android\n```\n\nThe output APK will be located in the `android\u002Fapp\u002Fbuild\u002Foutputs\u002Fapk\u002Frelease` directory.\n\n## Star History\n\n\u003Cpicture>\n  \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Mobile-Artificial-Intelligence\u002Fmaid&type=Date&theme=dark\" \u002F>\n  \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Mobile-Artificial-Intelligence\u002Fmaid&type=Date\" \u002F>\n  \u003Cimg alt=\"Star History Chart\" src=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=Mobile-Artificial-Intelligence\u002Fmaid&type=Date\" \u002F>\n\u003C\u002Fpicture>\n\n## Disclaimer\n\nMaid 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.\n\n## Signing\n\n### Signing Key Fingerprint\n\n>MD5: `BE:AC:29:41:F5:41:D2:26:42:DD:D1:A3:85:21:E1:16`\n\n>SHA-1: `48:F6:DC:73:09:CE:19:C6:A9:70:7E:A2:9A:B7:6F:42:2D:41:32:30`\n\n>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`\n\n### Upload Key Fingerprint\n\n>MD5: `C0:86:A0:F3:E8:E5:4D:46:60:8A:37:4E:DB:11:CC:C7`\n\n>SHA-1: `77:FC:77:2B:21:5E:9F:36:31:79:09:DF:7D:F4:1F:CA:96:0C:39:17`\n\n>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`\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n","Maid 是一个免费且开源的应用程序，用于在本地与llama.cpp模型交互，并远程连接Anthropic、DeepSeek、Ollama、Mistral和OpenAI等模型。其核心功能包括支持本地推理（无需互联网即可运行GGUF模型）、通过API密钥连接到多个远程AI服务提供商、一键下载精选的Hugging Face模型以及管理对话等功能。该应用使用React Native开发，适用于Android平台，旨在提供快速、高效且用户友好的体验。Maid特别适合需要随时随地访问人工智能助手进行聊天或执行任务的移动设备用户。",2,"2026-06-11 03:29:53","top_topic"]