Yaru Platform

Learn, Practice, Retain

A practical module ecosystem spanning learning, exams, memory, reading, AI tools, and collaboration.

Modules Overview

Every module follows the same design language and status model, making capability boundaries explicit.

Learning

Course to Progress

Live

Structured lessons, roadmap matching, and study-desk tracking in one flow.

Learning Interface Preview
  • Lesson flow
  • Study desk
  • Roadmap matching

Practice & Exams

Train and Validate

Live

Question bank modes, targeted drills, and exam sessions with result feedback.

Preview pending
  • Question bank
  • Knowledge drills
  • Paper practice

Memory

FSRS Review Loop

Live

Flashcard decks and FSRS-driven review sessions for long-term retention.

Preview pending
  • Deck management
  • FSRS scheduling
  • Review sessions

Library

Read and Extract

Live

Markdown/PDF reading with bookmarks, highlights, and AI-assisted extraction.

Library Interface Preview
  • Markdown/PDF reader
  • Bookmarks
  • Highlights

Notes

Capture and Link

Live

Block-based notes with wiki links, backlinks, and knowledge graph views.

Notes Interface Preview
  • Block editor
  • Wiki links
  • Backlinks

AI Tools

Assist and Reason

Live

Multi-model chat, photo solve, global search, video summary, and Math Lab.

Preview pending
  • Multi-model chat
  • Photo solve
  • Global search

Collaboration

Forum and Teams

Live

Discussion forums and team workflows for role-based collaborative learning.

Preview pending
  • Forum threads
  • Team roles
  • Invites

Extensions

Capture and Automation

Live

Captures, feeds, media history, and automation for external content intake.

Preview pending
  • Captures
  • Feeds
  • Media history

Studio

Production Pipeline

In Development

Permission-based workspace for content production, review, and publishing.

Preview pending
  • Studio dashboard
  • Review queue
  • Role control

Experimental Paths

Iterating in Public

Planned

Selected features are validated before being promoted to stable modules.

Preview pending
  • Experimental UI paths
  • Provider tuning
  • Workflow trials
Built for Real Study

The platform favors workflow continuity and explicit capability boundaries.

Cross-Device Continuity

Keep progress and context available while switching modules and devices.

Status Transparency

Live, in-development, and experimental capabilities are clearly separated.

AI in Workflow

AI chat, photo solve, and summaries are integrated into learning tasks.

Operational Reliability

Focus on predictable daily usage, with release boundaries communicated explicitly.

One platform for practical learning workflows, from first read to long-term retention.