Locally AI for Mac

What it does

Run AI models like Llama, Gemma, Qwen, DeepSeek, and more locally on your Mac. Chat through a clean and native UI, completely offline, fully private, no login required, with models optimized for Apple Silicon.

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  Apollo AI2025 · ▲280

  Run local models like Llama on iOS

• IM
  I 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.…

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  Locally AI + QwenMar 2026 · locallyai.app · ▲119

  Run Qwen's latest models locally on your iPhone

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  LM Studio2025 · ▲209

  Discover, download, and run local LLMs (incl. DeepSeek R1)

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  Ollama2023 · ▲235

  The easiest way to run large language models locally

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  Local17d ago · basecompute.co · ▲107

  Zero (!) friction local AI for your Mac

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  I trained a 125M model to autocomplete piano on-device▲598

  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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  Grok Bot▲547

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  Needle2: 14MB agentic LLM for phones, wearables, smart home and robots▲537

  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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