cache-app

Cache ingests saved content from browsers, social feeds, and video platforms, then organizes it automatically using AI-driven Smart Collections. The browser extension handles capture from any page; imported bookmarks are deduplicated, broken links are flagged, and OCR indexing makes even image-heavy content searchable. Once imported, content is queryable in plain language — you ask what you’re looking for and Cache retrieves it rather than requiring you to remember which folder you filed it under.

The standout differentiator is the combination of passive organization and active rediscovery. Smart Collections sort content without manual tagging, daily digest routines surface saved items on a schedule, and a Quick Look reader strips distractions from articles. This is not a read-later queue — the vendor positions it explicitly as a library meant for return visits, not a holding pen for content you’ll read once and forget.

Cache fits writers building research stacks, developers tracking documentation and issue threads, and productivity users who find pure note-taking tools too heavy for link management. It breaks — or at least stops being enough — when you need annotation threads, hierarchical page nesting, or the kind of bidirectional linking that tools like Obsidian provide. At that point you are maintaining Cache for capture and search, and a second system for thinking. The MCP integration lets external AI agents query Cache’s full content library, which adds real value if you’re already running agent-based workflows. The project is open-source with a self-hosted option, confirmed via a public GitHub repository.