A project to get a Linux shell running on iOS, using usermode x86 emulation and syscall translation.
For the current status of the project, check the issues tab, and the commit logs.
This project has a git submodule, make sure to clone with --recurse-submodules or run git submodule update --init after cloning.
You'll need these things to build the project:
pip3 install meson)brew install llvm, on linux, sudo apt install clang lld or sudo pacman -S clang lld or whatever)sudo apt install libsqlite3-dev)brew install libarchive, sudo port install libarchive, sudo apt install libarchive-dev) TODO: bundle this dependencyOpen the project in Xcode, open iSH.xcconfig, and change ROOT_BUNDLE_IDENTIFIER to something unique. You'll also need to update the development team ID in the project (not target!) build settings. Then click Run. There are scripts that should do everything else automatically. If you run into any problems, open an issue and I'll try to help.
To set up your environment, cd to the project and run meson build to create a build directory in build. Then cd to the build directory and run ninja.
To set up a self-contained Alpine linux filesystem, download the Alpine minirootfs tarball for i386 from the Alpine website and run ./tools/fakefsify, with the minirootfs tarball as the first argument and the name of the output directory as the second argument. Then you can run things inside the Alpine filesystem with ./ish -f alpine /bin/sh, assuming the output directory is called alpine. If tools/fakefsify doesn't exist for you in your build directory, that might be because it couldn't find libarchive on your system (see above for ways to install it.)
You can replace ish with tools/ptraceomatic to run the program in a real process and single step and compare the registers at each step. I use it for debugging. Requires 64-bit Linux 4.11 or later.
iSH has several logging channels which can be enabled at build time. By default, all of them are disabled. To enable them:
ISH_LOG setting in iSH.xcconfig to a space-separated list of log channels.meson configure -Dlog="<space-separated list of log channels>".Available channels:
strace: The most useful channel, logs the parameters and return value of almost every system call.instr: Logs every instruction executed by the emulator. This slows things down a lot.verbose: Debug logs that don't fit into another category.DEFAULT_CHANNEL to see if more log channels have been added since this list was updated.Possibly the most interesting thing I wrote as part of iSH is the interpreter. It's not quite a JIT since it doesn't target machine code. Instead it generates an array of pointers to functions called gadgets, and each gadget ends with a tailcall to the next function; like the threaded code technique used by some Forth interpreters. The result is a speedup of roughly 3-5x compared to emulation using a simpler switch dispatch.
Unfortunately, I made the decision to write nearly all of the gadgets in assembly language. This was probably a good decision with regards to performance (though I'll never know for sure), but a horrible decision with regards to readability, maintainability, and my sanity. The amount of bullshit I've had to put up with from the compiler/assembler/linker is insane. It's like there's a demon in there that makes sure my code is sufficiently deformed, and if not, makes up stupid reasons why it shouldn't compile. In order to stay sane while writing this code, I've had to ignore best practices in code structure and naming. You'll find macros and variables with such descriptive names as ss and s and a. Assembler macros nested beyond belief. And to top it off, there are almost no comments.
So a warning: Long-term exposure to this code may cause loss of sanity, nightmares about GAS macros and linker errors, or any number of other debilitating side effects. This code is known to the State of California to cause cancer, birth defects, and reproductive harm.


免费创建高清无水印Sora视频
Vora是一个免费创建高清无水印Sora视频的AI工具


最适合小白的AI自动化工作流平台
无需编码,轻松生成可复用、可变现的AI自动化工作流

大模型驱动的Excel数据处理工具
基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。


AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。


AI论文写作指导平台
AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。


AI一键生成PPT,就用博思AIPPT!
博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。


AI赋能电商视觉革命,一站式智能商拍平台
潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。


企业专属的AI法律顾问
iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。


稳定高效的流量提升解决方案,助力品牌曝光
稳定高效的流量提升解决方案,助力品牌曝光


最新版Sora2模型免费使用,一键生成无水印视频
最新版Sora2模型免费使用,一键生成无水印视频
最新AI工具、AI资讯
独家AI资源、AI项目落地

微信扫一扫关注公众号