About Yaru
A unified learning operating system for practical daily study workflows.
Yaru is built around one core idea: real learning is a workflow, not a set of disconnected tools. Most people move from reading, to note-making, to practice, to memory reviews, and then back again.
In the current release line, Yaru connects learning, practice and exams, memory reviews, library reading, AI tools, and collaboration modules into one platform. We keep status boundaries explicit: live capabilities are documented, while in-development or experimental paths are marked as such.
Yaru
Consolidated core learning modules into one connected workflow.
Yaru
Expanded production modules: practice, AI tools, collaboration, and release pipeline.
Content-first interface — focus on the task, not the chrome.
A learning tool should reduce friction instead of adding visual overhead. Yaru's interface language prioritizes workflow clarity, readable content, and adaptive layouts.
Content First
Interface elements step back so learning and review tasks stay at the center of your attention.
Progressive Disclosure
Complex controls are introduced only when needed, keeping the default flow clean and calm.
Warm & Expressive
Color and motion support concentration instead of becoming decoration-only visual noise.
Learning Loop
The default path is clear: learn a topic, validate with problem practice, and consolidate with FSRS-based memory reviews. This loop keeps short-term progress connected to long-term retention.
Transparent Capability Status
We only describe what is currently usable in production flows. Features under active iteration remain clearly marked as development or experimental, so expectations stay aligned with real product behavior.
Last Updated: March 10, 2026