🚀 MacOSCleaner 2.1.0 Preview #10
AlexTkDev
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Following the release of MacOSCleaner 2.0.0, development has already begun on the next major update.
Version 2.1.0 is planned for release over the next few months and will focus on deeper macOS integration, smarter automation, local AI cache management, unified macOS 27 UI components, and even better performance.
Here's a detailed look at what's coming.
🎙️ Siri & App Intents
MacOSCleaner will integrate directly with macOS through App Intents and App Shortcuts.
You'll be able to perform common maintenance tasks using Siri or the Shortcuts app, including:
CleanDeveloperCachesIntent).GetStorageStatusIntent).🗂️ Duplicate File Finder & Multi-Platform Build Artifacts Cleanup
A brand-new Duplicate Finder is coming, along with intelligent multi-platform build artifact cleanup:
ScanActor&FileCleanupActor), it uses a fast comparison algorithm without external dependencies:CryptoKit.Smart recommendations automatically pre-select obsolete copies for safe removal to Trash (
trashItem).DerivedData,.build,build/.dart_tool,.flutter-plugins,.gradle,build/node_modules,dist,.next,.nuxt,.turbo,.parcel-cache,.angular,.svelte-kit__pycache__,.pytest_cache,.mypy_cache,.ruff_cache,.tox,venv/.venvtarget,vendor,CMakeFilesIncludes sibling-file verification (e.g. checking for
Package.swift,build.gradle,Cargo.toml,package.json) to prevent false positives.📊 Apple Watch Activity Rings Storage Visualization
The Dashboard storage visualization has received a complete architectural upgrade:
DiskRingsChartView.swift) for an intuitive, concentric view of disk usage.bytes / totalUsed), accurate rendering for small categories (<1%), and integrated full-text/Applicationsscanner.🤖 Local AI & LLM Caches Scanner
With local AI apps becoming common on macOS, cache sizes can explode into tens of gigabytes. Version 2.1.0 introduces a dedicated scanner for local AI models and tool caches:
~/.ollama/models), HuggingFace (~/.cache/huggingface), LM Studio, Jan, and Draw Things.🔍 App Residuals & Orphans Engine
Even if apps were uninstalled before installing MacOSCleaner, leftovers often remain behind. The new Residuals Engine dynamically scans system paths (
Containers,Application Support,Group Containers,Caches) and correlatesbundle_identries against installed applications to detect orphaned leftover files and mark them for safe cleanup.💾 APFS Purgeable Space & Time Machine Snapshots
Take control over system-reserved disk space:
tmutil) to instantly reclaim hidden disk space.⚡ Next-Gen Scanning Architecture
The scanning engine is receiving a high-performance architectural overhaul:
exact_paths) and scoped wildcard patterns (glob_paths) eliminates unnecessary disk walks and prevents false positives while expanding coverage to 320+ applications.engine_paths.json) are compiled at build time into native Swift arrays (GeneratedCleanupPaths.swift), guaranteeing zero runtime JSON parsing and zero I/O overhead for scanning. Rich UI descriptions (ui_metadata.json) are lazy-loaded on demand.[String: AppPaths]) bybundle_idfor instant path resolution across all supported apps.PathTokenenum representation eliminates redundant string allocations.fileExists(atPath:)routing for exact paths.TaskGroupand Actors.💎 Native macOS 27 & UI Refinements
Version 2.1.0 continues refining the Liquid Glass experience with unified design system components and improved layout geometry:
DiskAnalyzerView,SettingsView).maxWidth: 680pxfor consistent visual balance.1024x680px,.contentMinSize), and unified top navigation bar margins (RootView) so all screens inherit consistent spacing without content sticking to the top menu.ProcessSplitButtonwith instant 1-click process termination (SIGTERM), pop-up menu for force kill (SIGKILL), and smooth Liquid Glass hover highlights.This is only the beginning of what's planned for MacOSCleaner 2.1.0.
The release is expected within the next few months, and additional improvements may be announced as development progresses.
As always, feedback, bug reports, and feature suggestions are greatly appreciated. Many of the features in this roadmap are inspired by community feedback, so let us know what you'd like to see next!
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