LM Mini vs LLMster

Chat with LM Studio, Ollama, and oMLX from your iPhone — or run on-device models offline. Private local AI on hardware you control. No cloud chat subscription required. THREE WAYS TO USE IT 1. On-device — download a model and chat with no internet 2. Connected — LM Studio, Ollama, Jan AI, or oMLX over Wi‑Fi or USB 3. Remote — LM Mini Connect from anywhere, encrypted with your key One app for phone-side models and your desktop local setup. WHAT TO EXPECT Phone models are not the same as huge hosted models in a data center. They are smaller, and that is expected. Performance will vary by hardware. What you gain is control: offline use, private chats on your device or your home machine, and freedom to run the open models you choose. BUILT FOR - People already running LM Studio, Ollama, oMLX or Jan AI who want that stack in their pocket - People who want on-device chat when they are offline or away from Wi-Fi - People who care about keeping conversations off third-party chat servers - Researchers, builders, and privacy-minded users experimenting with local AI INSIDE THE APP - Download and run on-device models on your phone - Connect to LM Studio, Ollama, Jan AI and oMLX - Remote access through LM Mini Connect with your encryption key - Manage and download models on LM Studio from your phone - Local conversation history, folders, and context usage tracking - Personas, plus group chat with up to 5 models in one conversation - Voice chat with Kokoro - Image generation with ComfyUI and Automatic1111 - Web search through SearXNG - Memory so your AI can remember details about you - On-device semantic search across your chats - Background generation, so you don't have to sit and stare at the screen - Themes, backgrounds, and avatars - Import chats from LM Studio - Optional encrypted cloud backups - Custom servers with custom headers - Optional APIs when you want them: OpenAI, OpenRouter, Mistral, DeepSeek, Google Gemini, and more - MCP tool calling - In-app support and feature requests - Dark mode and a chat UI meant for daily use PRIVACY For local use, chats stay on your phone, or between your phone and your own computer. We don't need your conversations to make that core local path work. If you choose optional cloud APIs, those requests go to the provider you pick. SETUP On-device: a compatible phone with enough free storage and memory for the model you pick. Connected mode: LM Studio, Ollama, or oMLX on your computer, plus local network or USB access, or LM Mini Connect for remote use. Install LM Mini and keep your local AI with you. Download LM Mini today and start chatting with your local AI models privately and securely! This app uses Apple Standard EULA license and its available at https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

LLMster is a fast, private iPhone and iPad client for models running on your LM Studio server (https://lmstudio.ai). Stream replies, reasoning, tool activity, and image-based conversations from the models you host—in an app designed to feel at home on iOS. Private by design LLMster connects directly to the server you choose. There’s no LLMster account, telemetry, hosted chat service, or cloud relay in the middle. Your conversation library stays on your device, while model context stays with your configured server. External integrations run only when you choose to enable them. Your models, wherever you run them Keep your models on the machine built for them: a workstation, home server, or always-on computer. Run the LM Studio desktop app or LM Studio’s headless daemon, point LLMster at the host, and start chatting. No companion desktop client is required. Choose the right model without leaving the conversation: • Search or sort by name, size, or format, then pin favorites • See which models support vision, reasoning, or tool calls • Change models without starting a new chat Organized from the start Search chats by title, model, or folder. Browse recent conversations across every folder, then organize, rename, pin, or duplicate important threads. Move and protect your chats Share individual conversations as .llmster files and import them on another device while preserving messages, images, reasoning, tool history, and chat settings. Back up and restore your entire local chat library—including folders, pins, drafts, and attachments—with optional password protection. Backups do not include server addresses, authentication keys, or app-wide settings. LLMster also verifies transferred response context against your configured LM Studio server before continuing a chat. Vision, direct to your server Attach up to four screenshots, photos, or scanned pages to a message and send them to a compatible vision model. LLMster resizes and compresses images on your device before sending them, so the originals remain with you. Open any attachment and pinch to zoom when you need to inspect the details. Hands-free voice chat Talk naturally using on-device speech recognition and text-to-speech. Audio stays on your device; only the resulting text is sent to your configured server. Natural turn-taking and subtle haptics keep the conversation moving without touching the screen. Control each conversation Every chat can have its own: • Integrations already configured in LM Studio • Custom system prompt • Tool-call visibility • Live reasoning preference Stream reasoning as Markdown while the model works, or keep the interface quiet with a compact Thinking indicator and open the completed reasoning when you want it. Control response auto-scrolling, and choose System, Light, or Dark appearance with your preferred accent color. Rich responses, as they arrive LLMster renders streaming Markdown smoothly, including syntax-highlighted code with copy controls, inline and block math, tables, links, lists, and more. Export or share transcripts with their original Markdown intact. Keep going while you move on Run LM Studio on a workstation or headless server and connect from your phone. With Tailscale on both devices, you can keep chatting over cellular or another Wi-Fi network while your models run at home. Setup instructions are available at https://llmster.app/support