Plugins

Builds a Markdown knowledge base from your course materials, then drills you until every knowledge point reaches your target accuracy; each answer must include your reasoning.

Project-level memory built around a ledger whose structure the AI designs per project; the plugin only handles detection, injection, write-back, archiving and git. Memories are split by meaning: the active ledger holds current state, the turn journal is append-only, and decisions, the goal tree and lessons are one-card-per-file (with a multi-dimension index over the card folders); the fundamental principles file can be changed only by the user. There is a single compaction mode: before compacting, the AI sorts the work into three buckets - what must stay in context and is re-injected verbatim, what is written to the project's _stash/ for later lookup, and what is dropped. When a conversation is opened in a container workspace holding several projects, it can be locked to one sub-project (the lock lives in the plugin's own home and survives restarts; it leaves no marker in your project). Also an activity log with five levels, where L4 stores the user's own words verbatim (never injected, queryable on demand). Before each compaction a verbatim capsule (user quotes, raw errors, changed files) is written to disk, and both the capsule and its source material survive a restart; a handoff document lets a new conversation resume the previous one. 21 tools, 12 subcommands, 39 settings (one of them switches whether the settings panel or each project's manifest wins). Runs locally, no runtime dependencies.

Memory-assembly team for DeepSeek Harness: every message triggers a five-step cognition loop (judge, retrieve, assemble, feedback, calibrate) carried by role-playing subagents (judge, retriever, archivist, advocate, editor, scribe), using BM25 retrieval, time-ordered material, and LLM assembly to build useful material packs injected into linghun. Works with dsh-linghun.

Call a new-api (one-api style) relay station's video model from the conversation with @-referenced image/video materials, supporting Seedance 2.0 and Happyhorse text-to-video and image-to-video across four relay protocols.

Índice de conversación para DeepSeek Harness: agrupa los encabezados Markdown de toda la sesión por turno y los muestra en un panel lateral o capa de ancho completo. Permite fijar vistas previas para compararlas en paralelo; buscar títulos, prompts, texto completo y entre sesiones, conservando búsquedas recientes; saltar entre secciones, seguir la posición de lectura, ajustar la densidad y usar la interfaz en chino o inglés. Los ajustes se abren con un clic desde la barra del panel.

Keeps bulk output out of the conversation: ctk_execute, ctk_execute_file and ctk_batch_execute run code in a child process and return only the conclusion, ctk_index and ctk_search file long material into a local FTS5 knowledge base built on node:sqlite, and a routing gate refuses curl and wget before they execute. Ships ctk_stats and ctk_doctor plus a settings page with a live context-occupancy panel. No third-party runtime dependencies.

Bridge to the UnrealAgentLink editor plugin: the Unreal Engine editor dials this WebSocket bridge on 127.0.0.1:17860 and the agent drives it through 12 tools covering all 170 cataloged commands (actors, levels, blueprints, materials, PCG, screenshots, logs, undo).

Adds a configurable bubble behind assistant replies, with an optional liquid-glass material and matching chrome for process, tool-call and reasoning rows.

DeepSeek Harness plugin for organizing AI discussions into research topics, traceable knowledge cards, and reusable research materials on an interactive graph

Bloquea que los agentes lean o escriban archivos sensibles (.env, credenciales, material de claves), enmascara en los resultados valores con forma de secreto que se hayan filtrado, mantiene un diario de auditoría y expone herramientas seguras de inspección sg_* que nunca imprimen valores en claro.

Visión para cualquier ruta de DSH: pega imágenes en el compositor web con análisis automático según la intención, delega la lectura de imágenes del espacio de trabajo a un subagente de visión Kimi/MiniMax y materializa los originales pegados para editarlos.

Road building materials as a caliber manual: 60 cards over 12 chapters on aggregates, asphalt and the PG system, mix volumetrics, cement, concrete, stabilized mixtures, steel, polymers and 35 test procedures.

Nine skins for the Web GUI — six material studies and three Leshan photo skins (River Night, Lingyun Dusk, Emei Mist) that use the author's photographs as wallpapers; one engine derives the 119 --dsw-* alias tokens from six colour inputs per appearance, in light and dark.

Douyin patent and trademark complaint workflow for DeepSeek Harness with a left-sidebar task panel: checks user-supplied links, materials and organization identity in a dedicated browser, records each submission state, queries platform history read-only, and shows local task counts in the sidebar; never discovers targets or submits without explicit authorization.

Study companion for your materials with guided practice, evidence-grounded feedback, Leitner spaced review, 18 teacher tools, and a Chinese/English student panel using the current DSH session model; requires DSH >=0.2.1-rc.2 <0.3.0-0, Python 3.11+, and Python runtime dependencies.

Local-first character archive in the DSH sidebar: it interviews you about someone and writes the answers into Markdown cards, imports SillyTavern character cards, writes a novel chapter by chapter, and roleplays with a card plus its world book; anything written into a card has to be quotable from material you wrote.

Turns a Minecraft Java save into a Blender cover or animation: scans the .mca region files for flat open ground, exports the terrain to OBJ, and drives Blender headless with MCprep materials, the BPS character rig and three-point lighting. After each render it reviews the frame with OpenCV for facing, ground contact, exposure, lighting and composition, then re-renders with adjusted parameters when a check fails. Requires Blender 4.2 LTS or newer and Python 3.10+ with opencv-python and numpy; the first run assembles the Minecraft assets with the bundled setup command.

Turns a learning request and local materials into a structured, locally stored AI course with outline, lessons, diagrams and learning progress.

Transparent acrylic window material and layered frosted panels for the DeepSeek Harness desktop app: the window reveals the desktop wallpaper (Windows Acrylic supplies the blur), the composer is a pane of frosted glass, and chat text is hard-clipped at the composer's top edge. Note: the page styling installs with the plugin, but making the window itself transparent needs a one-time app.asar patch (the patch bundle in this repo's Releases; double-click enable-transparency.cmd). The patch takes effect after a restart and must be re-applied after every DSH update. The plugin works without it — the window simply stays opaque.

Deterministic prompt-injection interception: tool results from file reads, repo searches and web fetches are scanned before they enter model context; high-severity findings quarantine-wrap or block, and credential-material files quarantine on the path alone.

Generates release material from what a local repository can actually support: a hero image, a feature grid and bilingual copy rendered as SVG and HTML from `README.md`, `package.json` and optional screenshots. Facts are quoted from those files — name, version, license, summary, features, install snippet — and a field that is missing is left unrendered rather than filled with placeholder text. Every feature carries a source citation such as `README.md#L42`, and a claim the repository cannot substantiate is linted out before anything is written, with the reasoning left in `lint-report.json`. `manifest.json` records a sha256 for each input and output, and `--now` or `SOURCE_DATE_EPOCH` makes a run byte-identical. Also ships a GUI panel that regenerates from inside a session.

Node-based GLSL workbench: wire a shader graph on a canvas and preview it live, compile it to Shadertoy-compatible GLSL with multi-pass buffers (BufferA–D), hot-reload as you edit, cross-compile to HLSL / MSL / SPIR-V, and keep projects, materials, snapshots and resources (images, audio, lyrics) in a local workspace. Ships 57 built-in nodes, 8 bundled examples and 11 agent tools. No runtime dependencies.

A glass-material appearance for DSH: translucent composer, dialogs, menus and code blocks — one switch in Settings, off restores the stock look exactly.

Tokyo Night 暗色 / 亮色主题 for DeepSeek Harness (DSH) 桌面端 —— 注册进主题运行时的真实皮肤，含亚克力磨砂面板、材质模糊与等宽字体选择器。Tokyo Night dark & light themes for DeepSeek Harness (DSH) Desktop — real theme-runtime skins with acrylic panels, material blur, and a monospace font picker.