@Prince_Canuma: Excited to introduce Nativ Run frontier open models locally on your Mac. No accounts, no subscriptions, no cloud. Built…

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Summary

Nativ is a free, open-source macOS app that lets users run frontier open models locally on Apple Silicon, with no accounts, subscriptions, or cloud dependency.

Excited to introduce Nativ Run frontier open models locally on your Mac. No accounts, no subscriptions, no cloud. Built on mlx-vlm — multimodal + fastest on Apple Silicon 100% private — every token generated on your machine Plug your coding agents into a local endpoint Live telemetry — tokens/sec, memory, usage 100% open source, MIT licensed, free forever Your Mac is more capable than you think. Stop renting intelligence. Download for macOS https://blaizzy.github.io/nativ/ Github repo https://github.com/Blaizzy/nativ
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Excited to introduce Nativ

Run frontier open models locally on your Mac. No accounts, no subscriptions, no cloud.

Built on mlx-vlm — multimodal + fastest on Apple Silicon 100% private — every token generated on your machine Plug your coding agents into a local endpoint Live telemetry — tokens/sec, memory, usage 100% open source, MIT licensed, free forever

Your Mac is more capable than you think. Stop renting intelligence.

Download for macOS https://blaizzy.github.io/nativ/

Github repo https://github.com/Blaizzy/nativ


Nativ — Local AI for your Mac

Source: https://blaizzy.github.io/nativ/ Latest release· 100% open source · live now

Run AI models locally on yourMac.

Nativ puts frontier intelligence on your desk. Download and run open models on Apple Silicon — no accounts, no subscriptions, no cloud.

Universal · Apple Silicon (M1+)

Nativ, running on macOSReal app. Real local models. No cloud.

Nativ chat running the Gemma 4 model locally, with response token and memory telemetry

01 / CHAT

Talk to open models with streaming responses and per-message performance metrics.

CAPTURED LIVE ON THIS MAC · JUL 2026

/ SIX REASONS TO GO LOCAL

Everything you need. Nothing you don’t.

01CURATED LIBRARY### Pick the right model for your Mac

Run standout open models from Google, Cohere, and Liquid AI. Nativ recommends the right partner model for your hardware.

02CHAT### Prompt it like you would Claude

A clean interface with streaming, markdown, code highlighting, and image input. Every response is generated locally.

03TELEMETRY### See what’s actually happening

Live tokens/sec, memory pressure, thermal state, and time-to-first-token. The details developers want.

04APPLE SILICON### Optimized for Apple Silicon

Built on MLX-VLM and tuned for M-series unified memory and Metal — no wrappers, no translation layers.

05EVERY MODALITY### Language, vision, video, code, audio

Chat with an LLM, caption an image, summarize video, autocomplete code, or transcribe and generate speech.

06FREE FOREVER### Not a SaaS. Not a subscription.

No accounts to create, no credits to buy, no data to sell. You own it end-to-end.

MITLICENSED

/ INTEGRATIONS

Your tools. Your models.

Connect the coding agents you already use to models running locally on your Mac. Nativ handles the endpoint; your workflow stays familiar.

01Pi02Codex03Claude Code04Hermes05OpenCode

Nativ integrations screen showing Pi, Codex, Claude Code, Hermes, and OpenCode configured to use local models

LOCAL ENDPOINTOne model server. Every coding agent. MANIFESTO · REV 1.0

Why we’re open source when nobody else is.

philosophy\.txtUTF-8

$ cat philosophy.txt

The other “local AI” apps you’ve heard of? They’re proprietary shells built on top of open-source engines they don’t own. They keep the UI closed, add a paywall, and hope you don’t look under the hood.

We built in the open. The desktop app is open too. Every line. Every model loader. Every telemetry chart. You can read it, fork it, or send a pull request tonight.

No VC roadmap. No enterprise tier. No dark pattern that turns your prompts into training data. Just software made by researchers and hackers, for researchers and hackers.

Explore the full model library→ YOUR MAC IS MORE CAPABLE THAN YOU THINK

Stop renting intelligence.

Run it locally, in the open.

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