Plugins

Your AI learning companion: helping you plan your studies, understand concepts, and build projects to master a subject.

StudyHub: a DeepSeek Harness (DSH) plugin that turns your own material into questions and spaced review · 把自己的资料变成题目与间隔复习的 DSH 学习插件

A study tab with course-map, tutor and blackboard columns that turns markdown files, local folders or GitHub repos into guided courses, with lesson unlocking, mastery tracking, spaced repetition and a tutor-designed course import.

Local-first learning mode: cross-session learning threads with per-source explanations.

Learning mode that explains each agent step (WIP).

Study coach for DeepSeek Harness: turns a course into a knowledge map of subject, module and unit, records mastery per unit in six stages, plans daily tasks against a materials index, keeps a wrong-answer book and spaced-repetition cards, and serves its own web panel.

Circuit breaker for idle agent turns: watches agent/assistant-stream and cancels a turn that produces only reasoning — no text and no tool call — after 45s, after 80000 reasoning characters, or on a degenerate repetition pattern (exact repeat unit, sentence-template repeat, sparse repeat, or 6-gram density). On trip it injects a continue instruction that requires the next action to be a tool call, and ships 11 regression cases plus per-gate tuning.

Stops a streaming model call when the same string repeats ten times in a row (threshold configurable), keeps the partial answer as a normal assistant message, and shows a stop notice with the workspace, session name and the repeated string. Repeat counts can vary by unit length through a piecewise table or a JavaScript module, and code regions (fenced, inline, indented) use a relaxed threshold.

Dead-loop / repetition detector for DeepSeek Harness agents — hard-interrupts text loops and same-topic search retries that soft reminders miss.

Content-degradation detection (thinking loops, output repetition) for DeepSeek Harness, with a continue-vs-handoff cost verdict and zero-model handoff documents.

Offline vocabulary panel: a capsule beside the composer opens a word card, and a dockable tabbed panel tracks today, progress, the mistake book and settings.

Publishes a lesson into the DSH conversation: the dependency spine, the question and the vault's drawings, drawn in the vault's own palette.

A cozy offline vocabulary trainer for the whole family: 1094 curated words, spaced repetition, 6 quiz types, spelling games and a lazy large-screen mode; opens as a sidebar panel and also runs standalone as one HTML file.

DSH guard against self-repetition in streamed model output: detects a degeneration loop in reasoning or visible text, aborts the runaway turn and wakes the agent with a corrective notice.

Watches a turn's thinking and text streams and cancels the turn when the model starts repeating itself.

Study workbench for exam prep and research: three-column task board with tags and filters, a spaced-repetition queue (simplified SM-2) that keeps finished cards coming back, a heatmap lit by actual focused minutes, weekly reports, per-day review notes, a pomodoro timer that survives panel switches, and Markdown export/import for Obsidian. Installable via dsh plugin add (dsh-study-desk on npm).

Algorithm learning toolkit syncing Codeforces and AtCoder submissions, profiling weaknesses, generating AI training plans, and tracking spaced-repetition reviews across a 114-lesson algorithm curriculum.