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nativ
Nativ is a native macOS app that lets you run AI models locally on Apple silicon, offering chat, model management, performance analytics, and an OpenAI/Anthropic-compatible API server.
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FR-AI / ANALYSISWhy it is worth attention
It turns natural-language agent intent into signed .shortcut binaries while supporting many MCP clients, and it includes a v2 toolchain with decompilation, recipe validation, magic variables, templates, and an honest action-coverage system.
Who it is for
- macOS users who use AI coding agents such as Grok, Codex, Claude, Cursor, or Gemini
- Shortcuts power users who want to create or maintain shortcuts programmatically or via natural language
- Developers building MCP-based automation tooling around Apple Shortcuts
Use cases
- Have an AI agent build, sign, and import a shortcut from a natural-language request
- Decompile an existing .shortcut into editable JSON to modify or clone it
- Generate ready-made shortcuts from built-in templates such as screenshot OCR, clipboard notification, or HTTP GET
- List, inspect, run, or open installed shortcuts without leaving an MCP client
Strengths
- Runs on Python 3.8+ with only the standard library, so there is no pip install or Node dependency
- Provides a broad tool set covering action lookup, recipe validation, decompilation, building, signing, importing, inspecting, and running shortcuts
- Includes safety mechanisms such as write-path sandboxing, SAFE_MODE for dangerous actions, and send_imessage never auto-sending
- Ships ready-made configuration snippets for Grok, Codex CLI, Claude Desktop/Code, Cursor, and Gemini/Antigravity
Considerations
- Requires macOS Monterey or later and the system shortcuts CLI; it is not cross-platform
- The generic action path uses auto-coercion rather than full Apple schema parity, so some actions may need manual validation or raw WF escape hatches
- Some learning features require Full Disk Access, and safe mode intentionally blocks run_shortcut and send_imessage
README quick start
Quick start
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