
Localmee
Private AI chat: files, voice, vision. 18 local models.
Localmee launched on May 14, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Localmee is a private, offline AI chat workspace for iPhone, iPad, and Mac. Run 18 curated open-source models and counting, including Qwen3.5 and Gemma 4, powered by Apple’s on-device MLX framework. Chat with files, images, and voice. Summarize PDFs, EPUBs, DOCX, and 500+ page books. Use OCR, vision, and ready-to-run prompts for work, study, writing, and coding. Localmee recommends models for your device. On Mac, connect your own Ollama models. No backend, no tracking, no account required.
Your AI assistant powered by Apple
Powered by top open-source models, running on your device using Apple's MLX framework. Learn, write, plan, create, analyze documents, understand images and think step-by-step. No third-party AI service. Available for iPhone , iPad and Mac . Top open-source AI models running on your device's GPU via Apple's MLX framework. Private AI assistant that's fast, local, and surprisingly capable. Top open-source models, unlimited. Switch between Llama, Gemma, Qwen, Phi, DeepSeek and more. New picks added regularly. Upload PDFs, books, contracts and more. Ask questions, get summaries, extract key insights. All processed on-device. Scan text from photos, analyze images, describe scenes. On-device…from localmee.com
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I made an app to use local AI as daily driver2024 · recurse.chat · ▲637Hi 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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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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