Lekh AI
Run powerful AI models on your Mac:fully offline and private
Lekh AI launched on January 16, 2026 with 80 votes, #432 of 14,585 launches that month and more than 95% of that year's launches.
What it does
Lekh AI is a native iPhone, iPad, and Mac app that runs powerful AI entirely on‑device. No cloud APIs, no subscriptions, and no data leaving your phone. It combines LLM chat, vision, PDF/document analysis, image generation, and voice in one offline assistant. Chat with models like Gemma, Qwen, Llama, Phi, Mistral, OpenELM Voice chat with Kokoro TTS No subscriptions. One‑time $2. 100% private. If you’re curious about what on‑device AI can do in 2026, this is it. 🚀
Download Lekh AI - Local AI Studio by Kaila Consulting Inc. on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Lekh AI -…
I'm impressed with the app, Lekh AI. The effort put into developing this tool for users is evident. I'd like to suggest a few improvements to enhance the experience. The addition of Qwen 3.5 4B has significantly boosted the app's intelligence. However, I think the thinking phase of the model could be refined. Implementing a feature similar to Locally AI's approach could be beneficial. Currently, the model doesn't seem to be listed under "thinking" in the model catalog, or it might be a minor oversight. Having both the thinking and answer in a single response feels a bit rushed. I'd appreciate it if this aspect could be addressed to provide a more comprehensive and transparent interaction…from apps.apple.com
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SwiftAI – open-source library to easily build LLM features on iOS/macOS2025 · github.com · ▲74We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…
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