lamos vs Local Inference OnDevice Agent

Lamos is a private, on-device AI assistant for iPhone and iPad. Download a model once, then chat fully offline with no account, no cloud processing, no tracking and no limits. Analyze text, documents, and images with supported models, then tune settings for speed or quality. Your conversations stay on your device. Available models are: - Qwen 3.5 (Alibaba): text + image (vision) - Gemma 4 (Google): text + image (vision) - Ministral (MistralAI): text + image (vision) - Bielik (SpeakLeash): text - LFM 2.5 (Liquid AI): text Use built-in Assistants to improve your interactions with models: - General - Coding Helper - Document Summarizer - Brainstorm Partner Edit any Assistant or create your own. Good to know: At least 4 GB device RAM available - 6 GB or more (even 12 GB) recommended for best performance. App was tested on iPhone 15 and iPad Pro M1.

Your AI. Your phone. Nobody else's business. LocalInference runs powerful open AI models entirely on your device. Your conversations never leave your phone — no account, no cloud, no analytics, no tracking. Ever. PRIVATE BY ARCHITECTURE, NOT BY PROMISE • Everything runs on-device; works fully offline after a one-time model download • Zero data collection — we couldn't read your chats if we wanted to • API keys (optional) stored in the secure keychain, sent only to the provider you chose A REAL ASSISTANT, NOT JUST A CHATBOT • Tools: calculator, web search, date & time, webpage reading • Contacts & calendar integration — every write action asks you first • Ask about photos with vision models • Reads answers aloud with on-device voices BUILT FOR TINKERERS • 16 curated models from 0.5B to 8B — Qwen3, Llama, Gemma, DeepSeek R1, Phi, SmolVLM • Only models that fit your device's memory are offered • Live tok/s, time-to-first-token, and token counts per response • Thinking models show their reasoning in collapsible blocks • Bring your own keys: Anthropic, OpenAI, Google — or any OpenAI-compatible server (llama.cpp, LM Studio, Ollama) on your own network Built with Llama. Gemma models provided under the Gemma Terms of Use.