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.
It demonstrates the feasibility of building a complete OS kernel and userland from scratch using only Swift, without any Apple frameworks or Linux, including SMP, a custom filesystem, networking stack, and a full GUI desktop environment.
A real operating system written entirely in Swift — a bare-metal aarch64
kernel (Embedded Swift, no stdlib runtime) with a Linux-feel GUI desktop
running on top. Boots on QEMU's virt machine configured to match a
Raspberry Pi 5 (8 GB): Cortex-A76, 4 cores, 8 GiB RAM. No Linux, and in
the kernel/userland no Apple frameworks at all: every driver, the scheduler,
the filesystem, the window manager, the shell, and the renderer are our own
Swift.
SwiftOS kernel 1.0.0-aarch64 (Embedded Swift, bare metal)
[boot] exception level EL1
[boot] heap 248 MB
[boot] heap self-test ok
[mmu] identity map on, caches enabled
[gic] timer irq 30 at 100 Hz
[fb] ramfb 1280x800 @ 0x0000000044804000
[blk] virtio-blk (slot 29): 65536 sectors (32 MiB)
[disk] persistent storage online
[sched] scheduler up: main + idle + kworker, quantum 50 ms
[input] virtio tablet (slot 30)
[input] virtio keyboard (slot 31)
[boot] login session started — compositor running
Kernel
smpdemo 3 shows ~300% across cores)posix_memalign/freeurun): real user-mode threads with
per-process L2/L3 page tables, SVC syscall ABI, preemption and migration
across cores (per-core page-table pairs + switch-time TLB flush),
containment on faults, kill/reap with full teardownSimilar projects matched by category, topics, and programming language.
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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