Cacheless is a macOS application that uses AI to scan and categorize cache and temporary files by risk level (Safe, Suggested, Review, Keep). It provides 31 pre-configured cleaning scopes for system caches, browser data, development tools and more. Users can ask the AI to explain any file using only its path, create custom rules that sync via iCloud across devices, and clean with confidence knowing exactly what will be removed.
In the Productivity & Work space, Cacheless takes a focused approach. Safely identifying and removing unnecessary cache and junk files on a Mac without accidentally deleting important data. It is built as a consumer product for mac users. There is a free tier. It runs on the web, iOS, and macOS.
志远 杨 builds and maintains Cacheless, and it first shipped in 2026. Among its 5 catalogued features are Risk-Level Categorization, AI File Explanation, and Custom Cleaning Rules.
Summary written by a language model from the project’s public pages.
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