Wiki LLM vs Edge Mind Ai

Wiki LLM is a home for your knowledge on iPhone and iPad. Keep each subject as a topic, split it into subtopics, and read it as clean, linked pages. Your wiki is plain files in a folder you control: topics are folders and pages are self-contained HTML. Nothing is locked into a proprietary format, and you can open the same pages in any browser. WHY "LLM" Large language models are good at writing and maintaining well-linked pages. Use an AI agent on your computer to build a wiki, then read and organise it here. The iPhone and iPad app does not include an AI model and does not upload your pages. KEY FEATURES • Topics and subtopics: organise everything as folders, with numbered subtopics that keep their order. • Rich pages: read self-contained HTML pages with diagrams, callouts and interactive questions, all offline. • Linked knowledge: follow standard links and [[wikilinks]] between pages. • Tags: tag pages and find related ones across topics. • Markdown files: open and edit .md notes with live preview. • Open any folder: point the app at a folder from Files, or use the built-in library. • Light and dark appearance, which your pages follow. • No account needed: a short welcome topic is ready the first time you open the app. YOUR DATA No sign-in, no tracking. Your pages stay in the folder you choose.

Edge Mind Ai is a privacy-first AI assistant that runs entirely on your iPhone and iPad. Your conversations, prompts, and photos never leave your device — all AI inference happens locally on Apple Silicon. There is no cloud server, no account required, and no data collection. RUN 20+ MODELS, LOCALLY Choose from a curated catalog of 21 open models from Apple Intelligence, Google Gemma, IBM Granite, Meta Llama, Microsoft Phi, DeepSeek, Mistral, Qwen, SmolLM, and Liquid AI. Switch between them mid-conversation. Download only the ones you want; delete them anytime to reclaim space. REAL CHAT, NOT A WRAPPER • Token-by-token streaming responses • Full Markdown rendering with code blocks and syntax highlighting • Multiple conversations — create, rename, and resume sessions from History • Attach a photo from your camera or library and ask a vision model about it • Voice dictation — speak your prompt; responses read back via on-device speech PRIVACY IS THE DEFAULT • Fully offline out of the box. Nothing is uploaded unless you turn on Live Search. • No telemetry, no analytics, no cloud sync, no login required. • A guest profile gets you chatting in one tap. • Optional Face ID / Touch ID / local credentials to protect your space. • Your HuggingFace token (for gated model downloads) is stored in the iOS Keychain. OPTIMIZED FOR YOUR DEVICE Edge Mind Ai detects your chip and tunes itself automatically — context windows of 2K–8K tokens and flash-attention acceleration on supported devices, so large models run within your iPhone's memory without crashing. OPTIONAL LIVE WEB SEARCH Turn on web grounding per prompt when you need fresh information. Bring your own key for Tavily, Brave Search, Serper (Google), or a self-hosted gateway. Search results come back with inline source citations. It's off by default — your AI stays local unless you ask it to look something up. CURATED, NOT THE WILD WEST The model catalog is hand-picked and capability-audited for this app's runtime. Thinking models stream a reasoning lane; vision models accept images; tool-calling models can trigger web search. Badges reflect what the app actually supports, not just marketing claims. WHO IT'S FOR • Privacy-conscious users who want private AI assistance without sending data to a server • Developers and researchers experimenting with local LLMs on iOS • Anyone who needs an AI assistant that works on a plane, underground, or offline • People who want to own their AI — models live on your device, under your control REQUIRES iPhone or iPad with iOS 17 or later and an A14 chip or newer for best results. MLX models run on physical Apple Silicon only (not the simulator). Apple Intelligence model requires a compatible device. Edge Mind Ai is an independent project. It is not affiliated with or endorsed by Apple, Google, Meta, Microsoft, IBM, Alibaba, Mistral, Hugging Face, or Liquid AI. Model weights are the property of their respective creators and are loaded under their original licenses.