Which makes sense, games have a much smaller area of contact with the host platform.
This sounds strange given how much modern GPUs can do, but consider that a typical Windows machine ca. 2005 will have Access/JET Red, Active Directory/JET Blue, possibly MSSQL, definitely MSMQ/MTS, ODBC, OLE DB, DAO, ADO, that one SQL interpreter inside Windows Installer, and I’ve only just listed Microsoft’s database-adjacent things. I’m not surprised that press reports about the “MinWin” initiative mentioned as the main difficulty the fact that nobody could figure out if any given component was actually necessary for a Windows install to function, let alone to be compatible with third-party software. (Is anybody other than WordPad using the Word 6.0 parser included among the text converters?..) Now consider that this was, by our standards, a lightweight system on a massively underpowered computer.
Yes partly complexity; but also why spend your time trying to get Excel running knowing each update will be a pain when you can just put that time into getting LibreOffice Calc working better.
Hi HN,
I started developing an experimental project with the goal of running macOS CLI binaries natively on Linux ARM machines.
As of now, we have working prototypes for:
- 7-Zip: Passes multi-threaded compression tests on an 8k-file tree. Currently ~5.2x slower than native Linux execution, but I already mapped out a clear optimization plan to cut this gap down.
- curl: Over 200 commands and options successfully pass our automated Docker test script.
- Xcode Tools Git: Basic version control commands (init, add, commit) are up and running, though 100% stability is not yet guaranteed.
I would be highly grateful for your constructive criticism, architectural ideas, and feedback!
Thank you!
Well, of course, most of all I would like to achieve full-fledged support for Xcode Tools (including building iOS applications) and the macOS version of Homebrew. But, of course, there is still a lot of work ahead to get to this point. Thank you!
I would look at osxcross[0] if you haven't looked into it already. It can at least do the "build stuff targeting macos" part (well, relatively speaking). Swift support kinda breaks down, unfortunately, and actually getting it set up is a bit of a hassle. but it does work.
That's true. But if we can achieve support for the current stable version, it will be much easier to add new features later or rework the ones that were replaced (unless Apple changes everything on purpose :)
Historically, I’d say that the chances of this being successful are exceptionally low given how large the ABI surface is — and it will wildly change out from underneath you on a near yearly cadence.
Perhaps LLMs change that calculation. I really couldn’t say.
I'm curious: how large is it really? As I understand it, Kakehashi is targeting command line programs, especially Xcode-tools. How much non-POSIX/Mach/BSD interface do Mac command line programs use? How much of that is not already open source. How much of that changes yearly? The only thing that comes to mind is process security for codesign and notarization but I'm just guessing.
Interesting, I've been building the inverse of this project, to enable running Linux binaries on macOS, as that's not something I've seen in an active project. It works an a very similar way but it's in Zig.
This is something i have been looking for long time, however i have gone through repository and docs and the problem is bigger and solution still seems to be early, I am curious how you gonna take further, will be watching it
Really cool project, but honest question though: why do people tend to name these projects so horribly? I know software engineers aren’t actually known for their creative acuity when it comes to naming, but damn, Kakehashi is just bad.
My previous project had a more traditional name: WIE (Wie is Emulator), which was an attempt to run PE64 binaries on macOS via Cranelift JIT. It was an ironic joke nod to WINE (and it still survives in the GitHub organization name).
For this one, I wanted something more conceptual. Kakehashi (掛け橋) means "bridge" or "go-between" in Japanese. Plus, I just really liked how it sounds and harmonizes with Asahi Linux.
I just want to use macOS plugins for music production on asahi linux. A GUI is important but not strictly necessary I guess. So yeah, limited gui support would be great.
If you didn't care about having a fully-redistributable image, but were okay with doing things more like modern old-console-game decompilation projects do (where compiling the project requires the original game ROM as an input), would a project like this be more trivial?
I.e. how hard would it be, comparatively, to design a virtualization framework that doesn't actually ship with any ground-up-rewritten libraries, but instead just expects to execute the binary in question in the context of a full rootfs copied over from a "real" macOS install?
How can we tell that this is truly a clean room project and that there is no code from either (Claude or yourself) that is derived from the Darling project?
Thanks for the comment! You guessed it, I did use LLMs during development. While the strict definition of a "clean room" design can be debatable when AI is involved, I'd consider this a "light-gray room" approach. There is no direct code plagiarism here: Kakehashi is written from scratch in Rust, whereas Darling is built on C/objc. Furthermore, the architecture is fundamentally different—Darling relies on kernel-level emulation, while Kakehashi is purely focused on a lightweight userspace approach for Linux ARM. In my prompts, I explicitly restricted the use of proprietary components. Ultimately, the codebase speaks for itself, and I welcome everyone to audit the repository! Thanks again!
Thanks! What I meant is that Kakehashi doesn't require a custom Linux kernel module (LKM). Kakehashi operates completely without root privileges or kernel-level modifications.
By "proprietary components," I meant that in my prompts, I explicitly forbade the copying or direct implementation of private Apple code. Of course, since LLMs are a bit of a black box, it's hard to be 100% certain about everything it synthesized under the hood, but the clear intent was to stick to public ABI definitions and standard open specs.
Darling is written in a different language so I don't think the LLM would copy paste code from it directly. But it is the main (only?) prior art, so it could be argued that everything the LLM knows about how to do this came because it read and understood Darling, i.e. if Darling didn't exist it may still be able to do this but it would have to figure it out from first principles.
Not saying it happened here, but it's an interesting thought experiment: what if you order an LLm to achieve the same goal as a popular open source project, using all the lessons learned and pitfalls faced by that project, but not to copy the code. Indeed, LLM code is now often better than human code, so direct code copying would be a disadvantage. Humans are certainly inspired by other projects like this all the time and it isn't considered plagiarism.
> Darling is written in a different language so I don't think the LLM would copy paste code from it directly.
Just because it is written in a different language does not mean that it is a clean room implementation. The logic from Darling might as well have been lifted and then rewritten by a human or an LLM agent.
> Indeed, LLM code is now often better than human code, so direct code copying would be a disadvantage.
Is that why coding agents such as Claude Code and Codex have so many bugs in them? This is entirely dependent on the language chosen with the humans behind the decision to review and accept some of the changes.
> Humans are certainly inspired by other projects like this all the time and it isn't considered plagiarism.
Humans (researchers) also appropriately credit the work that inspires them, especially in experiments and research.
you can copyright a specific implementation but that doesn't necessarily grant a patent on the "algorithm". so unless darling is patented then a translation of the "algorithms" in darling is legal. to wit: that's why all the "numerical recipes" books couldn't block implementations in other languages.
IANAL and I don't think you are either. Be careful making simplistic inferences about a complicated system. Human "translation" is one thing, algorithmic "translation" has seen separate treatment in IP case law.[1] Whether this has relevance to LLM transformation or recall I don't know.
No it's not since "human translation" is literally all we had until about a year ago.
You should read the case again because it doesn't say what you think it says - it says generating a copyrighted work via a new system is still infringement (which is exactly what I'm arguing isn't happening in this case because what's being generated is a new language impl).
To put it very simply: if I use a machine (biological or electrical) to translate my favorite song into another language that's not infringement.
Based on the commit history, it took about 6 days of active development.
As for the AI assistant, I used Grok 4.5 in Build (Medium, no sub-agents, just standard chats and Plan Mode). I can't track the exact hours, but I spent several full days hyper-focused on this. Naturally, I hit the weekly usage limits all the time and had to sit around waiting for the cooldowns (like now :).
Are you familiar with the Darling project? https://github.com/darlinghq/darling There's an open PR for ARM64 support https://github.com/darlinghq/darling/pull/1753 Could you combine efforts or do your goals differ too much?