Nativ

Native macOS app for running AI models locally on Apple silicon — private chat, model manager, and OpenAI-compatible inference server.

Free Coding & Development
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What is Nativ?

Nativ is a macOS workspace that runs MLX models locally on Apple silicon, keeping everything on-device. It bundles a chat interface with vision and image generation, a model library that pulls compatible models from Hugging Face, performance analytics, and a local server with OpenAI- and Anthropic-compatible endpoints. Coding tools like Claude Code, Codex, and Cursor can point at it for private local inference.

Key features

  • Private local chat with vision and image generation
  • MLX model library with Hugging Face downloads and memory-fit warnings
  • OpenAI-compatible chat, responses, image, and audio endpoints
  • Anthropic Messages-compatible endpoints
  • Coding-agent integrations: Claude Code, Codex, Cursor, Aider, Goose, and more
  • Performance analytics and live system monitor
  • Menu-bar controls with CPU, GPU, and RAM stats
  • Voice dictation audio extension with transcript history

Pros

  • Fully private — inference runs on-device with no data sent out
  • Drop-in OpenAI/Anthropic-compatible local inference server
  • Polished native SwiftUI app with analytics and menu-bar controls

Cons

  • macOS 26+ and Apple silicon only.
  • Large models still need substantial unified memory.
  • Audio-only model support is listed as coming soon.

Nativ at a glance

PricingFree
CategoryCoding & Development
Platformsmacos
Official websitegithub.com
local-llmmacosapple-siliconmlxopenai-compatibleinference-serverprivacymodel-manager

How to choose the right Coding & Development tool

The right coding tool depends on where you write code and how much of your codebase it can understand. IDE integration is the first filter — a tool that lives in your editor, sees your project files and respects your stack will help far more than a general chatbot you paste snippets into. Look for accurate completions, clear explanations of suggested changes, and strong refactoring and debugging support for your main languages. Privacy deserves real attention: check whether your code is used for training, and whether a self-hosted or enterprise option exists for sensitive projects. Price against the hours it actually saves — most developers feel the difference within the first week of real use.

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Nativ FAQs

What is Nativ?

Nativ is a macOS workspace that runs MLX models locally on Apple silicon, keeping everything on-device. It bundles a chat interface with vision and image generation, a model library that pulls compatible models from Hugging Face, performance analytics, and a local server with OpenAI- and Anthropic-compatible endpoints. Coding tools like Claude Code, Codex, and Cursor can point at it for private local inference.

What are the main features of Nativ?

Nativ offers Private local chat with vision and image generation, MLX model library with Hugging Face downloads and memory-fit warnings, OpenAI-compatible chat, responses, image, and audio endpoints, Anthropic Messages-compatible endpoints, Coding-agent integrations: Claude Code, Codex, Cursor, Aider, Goose, and more, Performance analytics and live system monitor, Menu-bar controls with CPU, GPU, and RAM stats and Voice dictation audio extension with transcript history.

How much does Nativ cost?

Nativ is free to use. Always confirm the current offer on its official website, as pricing can change.

What are the pros and cons of Nativ?

Strengths of Nativ include Fully private — inference runs on-device with no data sent out; Drop-in OpenAI/Anthropic-compatible local inference server; Polished native SwiftUI app with analytics and menu-bar controls. On the downside, macOS 26+ and Apple silicon only.; Large models still need substantial unified memory.; Audio-only model support is listed as coming soon..