Lekh AI – Local AI Studio for macOS
Run AI models, images, and TTS locally on your Mac
What it does
Lekh AI brings powerful AI to your Mac – fully private and on-device. Chat with MLX and GGUF models like Llama and Qwen, generate and edit images, convert text to speech with Kokoro and Qwen3 TTS, and explore features like an AI ebook reader and Knowledge Hub. Everything runs locally on Apple Silicon with no external APIs, no subscriptions, and no data leaving your machine. One app for local chat, image generation, TTS, and AI tools. Just download models and start creating.
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- IMI made an app to use local AI as daily driver2024 · recurse.chat · ▲637
Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…
Lekh AI Pro – Local AI StudioApr 2026 · lekhai.app · ▲1Run powerful AI locally on your Mac – chat, images, and more
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
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Switch from ChatGPT to Claude with import memory feature
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