<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MacOS on SoloSoft</title><link>https://www.solosoft.dev/tags/macos/</link><description>Recent content in MacOS on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/macos/index.xml" rel="self" type="application/rss+xml"/><item><title>Anthropic's Sandbox Runtime: OS-Level Sandboxing Without Containers</title><link>https://www.solosoft.dev/post/sandbox-runtime-anthropic-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/sandbox-runtime-anthropic-2026/</guid><description>&lt;p&gt;AI coding agents like Claude Code need to execute a wide range of operations &amp;ndash; reading files, writing code, running commands, making network requests. Managing the security boundaries around these operations has typically required either heavy containerization (Docker) or frequent user permission prompts. &lt;strong&gt;Sandbox Runtime&lt;/strong&gt; by Anthropic offers a third path: lightweight, OS-level sandboxing that enforces security policies without the overhead of containers.&lt;/p&gt;
&lt;p&gt;The tool works by leveraging the operating system&amp;rsquo;s built-in sandboxing capabilities &amp;ndash; seatbelt profiles on macOS and seccomp-bpf with landlock on Linux &amp;ndash; to define precise boundaries for what agent processes can and cannot do. Rather than asking the user for permission on every operation, Sandbox Runtime pre-configures what is allowed and blocks everything else automatically.&lt;/p&gt;</description></item><item><title>Apple Container: Open-Source Tool for Running Linux Containers as VMs on Mac</title><link>https://www.solosoft.dev/post/apple-container-mac-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/apple-container-mac-2026/</guid><description>&lt;p&gt;For years, running Linux containers on macOS has required a VM layer &amp;ndash; Docker Desktop&amp;rsquo;s Linux VM, Podman&amp;rsquo;s podman-machine, or Lima&amp;rsquo;s QEMU-based approach. These solutions work, but they introduce overhead and complexity. &lt;strong&gt;Apple Container&lt;/strong&gt; takes a fundamentally different approach by running Linux containers directly as lightweight virtual machines using Apple&amp;rsquo;s native Virtualization.framework, eliminating the need for a separate VM management layer.&lt;/p&gt;
&lt;p&gt;Released as an open-source project under the Apache 2.0 license, Apple Container represents Apple&amp;rsquo;s official entry into the container tooling space. The tool is written in Swift and provides a clean command-line interface for creating, running, and managing Linux containers as VMs on Apple Silicon Macs. It leverages the same Virtualization.framework that powers macOS&amp;rsquo;s own virtualization features, ensuring native performance and tight integration with the host operating system.&lt;/p&gt;</description></item><item><title>Apple Containerization: Swift Package for Native Linux Containers on macOS</title><link>https://www.solosoft.dev/post/apple-containerization-swift-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/apple-containerization-swift-2026/</guid><description>&lt;p&gt;When Apple announced &lt;strong&gt;Containerization&lt;/strong&gt; at WWDC 2025, it represented a significant strategic shift: Apple was not just providing a container tool, but building a native containerization stack for macOS from the ground up. Containerization is the Swift package that forms the programmatic foundation of this stack, offering a clean, Swift-native API for creating, managing, and orchestrating Linux containers as lightweight VMs.&lt;/p&gt;
&lt;p&gt;Unlike the Apple Container CLI tool, which provides an end-user command-line interface, Containerization is designed for developers who need to integrate container management directly into their applications, build tools, and workflows. It is the same package that powers Apple Container under the hood, but exposed as a public API for programmatic use.&lt;/p&gt;</description></item><item><title>BetterShot: Open-Source Screen Capture Tool for macOS with Built-In Editor</title><link>https://www.solosoft.dev/post/bettershot-screenshot-mac-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/bettershot-screenshot-mac-2026/</guid><description>&lt;p&gt;For macOS users, the built-in screenshot tools have always been capable but constrained. The space between what Apple provides (screenshot shortcuts since macOS Mojave) and what power users need (annotations, backgrounds, quick editing) has been filled by commercial tools like CleanShot X ($29+) and Skitch. In 2026, that gap is finally being addressed by an open-source alternative that matches the feature set of premium tools while remaining completely free.&lt;/p&gt;
&lt;p&gt;BetterShot is an open-source macOS screen capture utility built with SwiftUI that combines flexible capture modes with a built-in annotation and editing workspace. Created by developer Kartik Labhshetwar and released under the MIT license, BetterShot gives macOS users region, fullscreen, and window capture modes with a modern, native editing interface that opens automatically after each capture.&lt;/p&gt;</description></item><item><title>CodexBar: macOS Menu Bar App for AI Coding Agents</title><link>https://www.solosoft.dev/post/codexbar-mac-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/codexbar-mac-2026/</guid><description>&lt;p&gt;The macOS menu bar is one of the most valuable pieces of screen real estate on a developer&amp;rsquo;s desktop. It is always visible, always accessible with a single click or keyboard shortcut, and it has become the natural home for utility apps that need to be available instantly without clutter. CodexBar occupies this prime location with a focused mission: give developers instant access to AI coding agents without leaving their workflow.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CodexBar&lt;/strong&gt; is a native macOS menu bar application that puts AI code generation, clipboard management, and prompt templates at your fingertips. Developed by Peter Steinberger (also the creator of OpenClaw), it is a lightweight, focused tool that complements existing AI coding assistants rather than replacing them. Where tools like Cursor and GitHub Copilot integrate AI into the IDE, CodexBar lives in the system-level menu bar, making it available across any application &amp;ndash; Xcode, VS Code, Terminal, Notes, or even outside the development environment entirely.&lt;/p&gt;</description></item><item><title>Live Wallpaper for macOS: Dynamic Desktop Backgrounds</title><link>https://www.solosoft.dev/post/live-wallpaper-mac-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/live-wallpaper-mac-2026/</guid><description>&lt;p&gt;One of the few desktop features that macOS users envy from Windows and Linux is live wallpaper support. Live Wallpaper for macOS, created by thusvill, fills this gap with a native Swift application that brings dynamic, video-based wallpapers to macOS with performance-optimized rendering.&lt;/p&gt;
&lt;p&gt;Unlike resource-heavy solutions that drain battery and slow down the system, this app is built with performance as a priority. It uses Metal-rendered video playback that pauses automatically when running on battery, when full-screen apps are active, or when system resources are needed elsewhere. The result is beautiful animated desktops without sacrificing battery life or performance.&lt;/p&gt;
&lt;h2 id="key-features"&gt;Key Features&lt;/h2&gt;
&lt;table&gt;
 &lt;thead&gt;
 &lt;tr&gt;
 &lt;th&gt;Feature&lt;/th&gt;
 &lt;th&gt;Description&lt;/th&gt;
 &lt;/tr&gt;
 &lt;/thead&gt;
 &lt;tbody&gt;
 &lt;tr&gt;
 &lt;td&gt;Video wallpaper&lt;/td&gt;
 &lt;td&gt;Play any video file as desktop background&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Performance optimization&lt;/td&gt;
 &lt;td&gt;Metal rendering with automatic pausing&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Battery awareness&lt;/td&gt;
 &lt;td&gt;Pauses on battery to conserve power&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;App detection&lt;/td&gt;
 &lt;td&gt;Pauses when full-screen apps are running&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Multi-monitor&lt;/td&gt;
 &lt;td&gt;Independent wallpapers per display&lt;/td&gt;
 &lt;/tr&gt;
 &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id="application-architecture"&gt;Application Architecture&lt;/h2&gt;

&lt;figure class="mermaid-wrapper not-prose" role="img" aria-label="Mermaid diagram"&gt;
 &lt;div class="mermaid-container"&gt;
 &lt;pre class="mermaid"&gt;flowchart LR
 A[Live Wallpaper App] --&amp;gt; B[Window Manager]
 B --&amp;gt; C[Desktop Wallpaper Layer]
 C --&amp;gt; D[Metal Renderer]
 D --&amp;gt; E[Video Decoder]
 E --&amp;gt; F[Video File]
 D --&amp;gt; G[Performance Monitor]
 G --&amp;gt; H{System State}
 H --&amp;gt;|Battery| I[Pause Playback]
 H --&amp;gt;|Fullscreen App| I
 H --&amp;gt;|Normal| J[Continue Playback]&lt;/pre&gt;
 &lt;script type="application/mermaid"&gt;flowchart LR
 A[Live Wallpaper App] --&gt; B[Window Manager]
 B --&gt; C[Desktop Wallpaper Layer]
 C --&gt; D[Metal Renderer]
 D --&gt; E[Video Decoder]
 E --&gt; F[Video File]
 D --&gt; G[Performance Monitor]
 G --&gt; H{System State}
 H --&gt;|Battery| I[Pause Playback]
 H --&gt;|Fullscreen App| I
 H --&gt;|Normal| J[Continue Playback]&lt;/script&gt;
 &lt;/div&gt;
&lt;/figure&gt;&lt;p&gt;The app creates a lightweight desktop wallpaper layer that sits behind all other windows. The Metal renderer decodes and displays videos efficiently, while the performance monitor tracks system state and pauses playback when appropriate.&lt;/p&gt;</description></item><item><title>Mactop: macOS System Monitor in Your Terminal</title><link>https://www.solosoft.dev/post/mactop-monitor-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/mactop-monitor-2026/</guid><description>&lt;p&gt;macOS developers and power users have long relied on Activity Monitor for system monitoring, but its GUI interface does not fit well into terminal-centric workflows. &lt;strong&gt;Mactop&lt;/strong&gt; (metaspartan/mactop on GitHub) fills this gap with a beautiful, terminal-based system monitor that provides real-time visibility into CPU, memory, GPU, network, and disk performance, all within the terminal.&lt;/p&gt;
&lt;p&gt;Created by metaspartan, Mactop is built specifically for macOS using native system APIs, giving it access to metrics that cross-platform tools cannot read. It displays real-time CPU usage per core with history graphs, memory breakdown showing active, wired, compressed, and free memory, GPU utilization for both Apple Silicon and AMD GPUs, network throughput with per-interface statistics, disk I/O performance, and a sortable process list.&lt;/p&gt;</description></item><item><title>OSX-KVM: Run macOS on Linux with KVM Virtualization</title><link>https://www.solosoft.dev/post/osx-kvm-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/osx-kvm-2026/</guid><description>&lt;p&gt;Running macOS on non-Apple hardware has been a pursuit of enthusiasts and developers for years, but it has always required navigating technical complexities and legal gray areas. &lt;strong&gt;OSX-KVM&lt;/strong&gt; (kholia/OSX-KVM on GitHub) provides the most comprehensive and maintained open-source toolkit for running macOS as a KVM virtual machine on Linux hosts, with near-native performance through hardware acceleration and GPU passthrough.&lt;/p&gt;
&lt;p&gt;Created by Dhiru Kholia and maintained by a dedicated community, OSX-KVM has become the definitive resource for macOS virtualization on Linux, with over 20,000 GitHub stars. The project provides everything needed to set up a macOS virtual machine: automated scripts for creating bootable disk images, OpenCore bootloader configurations customized for KVM, performance tuning parameters, and detailed documentation for GPU passthrough and networking.&lt;/p&gt;</description></item><item><title>QuickRecorder: Lightweight Screen Recorder for macOS</title><link>https://www.solosoft.dev/post/quickrecorder-mac-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/quickrecorder-mac-2026/</guid><description>&lt;p&gt;macOS users have long relied on QuickTime Player for basic screen recording, but its limited features and lack of customization have left room for a better solution. &lt;strong&gt;QuickRecorder&lt;/strong&gt; (lihaoyun6/QuickRecorder on GitHub) fills this gap with a lightweight, open-source screen recorder that offers professional capture capabilities without the bloat of commercial alternatives.&lt;/p&gt;
&lt;p&gt;Developed by lihaoyun6 using Swift and native macOS APIs, QuickRecorder has become one of the most popular open-source screen recording tools on the platform. The application provides three capture modes &amp;ndash; fullscreen, window, and region &amp;ndash; along with hardware-accelerated video encoding using Apple&amp;rsquo;s VideoToolbox framework, camera overlay support, and simultaneous audio recording from system and microphone sources.&lt;/p&gt;</description></item><item><title>The Industry Significance of Google's Launch of the Native Gemini Mac App for th</title><link>https://www.solosoft.dev/trends/2026-04-17-google-launches-gemini-mac-app-heres-what-it-offer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/2026-04-17-google-launches-gemini-mac-app-heres-what-it-offer/</guid><description>&lt;h2 id="why-is-native-swift-googles-most-precise-strike-against-apples-ecosystem"&gt;Why is &amp;ldquo;Native Swift&amp;rdquo; Google&amp;rsquo;s Most Precise Strike Against Apple&amp;rsquo;s Ecosystem?&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;The answer: This is a classic battle of using the opponent&amp;rsquo;s own spear to attack their shield.&lt;/strong&gt; Google abandoned its previous indirect strategies of using the Chrome browser or Progressive Web Apps (PWAs), opting instead to use Apple&amp;rsquo;s most favored language, Swift, and adhere to native macOS frameworks (like AppKit, SwiftUI) to build an application optimized for Mac from the ground up. This is not just a technical choice but a strategic signal: Google aims to compete for user mindshare and system-level integration rights in desktop AI with the highest standard of &amp;ldquo;localization.&amp;rdquo;&lt;/p&gt;</description></item></channel></rss>