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Nativ
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About Nativ
Nativ is a native macOS workspace designed to run open-source AI models entirely on Apple Silicon without relying on cloud services, accounts, or subscriptions. It integrates an MLX-VLM inference server, a curated model library, and a SwiftUI-based chat interface that supports language, vision, code, and embedding models. The tool also functions as a local inference server compatible with OpenAI and Anthropic APIs, enabling direct connections to coding agents like Claude Code and Codex. Every component of Nativ, from model loading to telemetry, is open source under the MIT license and available on GitHub. Users can leverage the app for private, offline AI interactions while maintaining full control over their data and model usage. It is particularly suited for developers, researchers, and privacy-conscious users who prefer local execution over cloud-based alternatives. The polished interface and seamless integration with existing workflows make it accessible for both technical and non-technical users.
Key features
- Runs open-source AI models locally on Apple Silicon Macs
- No cloud dependency, accounts, or subscriptions required
- Supports language, vision, code, and embedding models
- MLX-VLM inference server bundled within the app
- OpenAI- and Anthropic-compatible local inference server
- Curated model library for easy access to models
- SwiftUI-based chat interface for user interaction
- Fully open source under the MIT license
- Publicly available components on GitHub
- Acts as a local inference server for coding agents
Use cases
- Running AI models offline for privacy-sensitive tasks
- Developing and testing AI applications locally without cloud costs
- Using coding agents like Claude Code with locally hosted models
Pros
- Runs entirely on Apple Silicon with no cloud dependency
- 100% open-source under MIT license with full transparency
- Supports multiple modalities including language, vision, video, code, and audio
- Local inference server compatible with OpenAI and Anthropic APIs
- No accounts, subscriptions, or data collection required
Cons
- Limited to macOS and Apple Silicon hardware
- Performance depends on available local hardware resources
- Requires manual model downloads and management
Frequently asked questions about Nativ
What is Nativ?
Nativ is a native macOS workspace that runs open-source AI models entirely on Apple Silicon without cloud services, accounts, or subscriptions. It includes a local MLX-VLM inference server, a curated model library, and a SwiftUI-based chat interface.
Who is Nativ designed for?
Nativ is designed for developers, researchers, and privacy-conscious users who prefer local execution over cloud-based alternatives. It is particularly suited for those using Apple Silicon Macs.
How does Nativ handle pricing?
Nativ is free forever with no subscriptions, accounts, or credits required. It is open-source under the MIT license, meaning there are no paywalls or hidden costs.
What integrations does Nativ support?
Nativ functions as a local inference server compatible with OpenAI and Anthropic APIs, allowing direct connections to coding agents like Claude Code, Codex, and others.
What are the limitations of Nativ?
Nativ is limited to macOS and Apple Silicon hardware. Performance depends on local hardware resources, and users must manually download and manage models.
How do I get started with Nativ?
Users can download Nativ from the official website, install it on their Apple Silicon Mac, and start running open-source models locally without additional setup.
