Plugins

Design workbench in the right sidebar. Its tools sit in floating groups at the canvas corners and a bottom dock with text labels, and a home screen offers one prompt box, recent designs and large template cards. When the home screen's style is Auto, the plugin picks a style card that fits the subject and hands its colors and fonts to the model; your own words, a chosen card, a reference image or a default brand design system take precedence. Each design gets its own folder. When a design needs photos, the model can copy from a library of 64 AI-generated placeholder images in 8 themes (about 8 MB, downloaded from npm the first time they are needed; made with OpenAI image generation and screened by a person, not real places, products or people); export and handoff remind you to replace them before launch. When the model builds web pages, app screens, desktop app windows, WeChat mini programs, posters, slides, emails or diagrams (mind maps, grant-proposal style technical route charts, product roadmaps and architecture diagrams, with lines and arrows laid out automatically and a fixed size for export to Word or PowerPoint), each HTML file shows up as a screen on a canvas inside a device frame and refreshes when the file changes; screens far from the view show a background thumbnail and load the live page when you move closer; while the model writes a page, the sidebar grows with it and a few cursors draw boxes, fill colors and type where it is writing, with a timer in the status bar; local dev servers are proxied with hot reload intact, and an existing HTML file or folder opens by browsing or by dragging it into the sidebar (desktop app). A design library gathers every design you made in any session, your saved inspiration (reference images, URLs, style cards) and a design market of shared templates, design systems and style cards (16 templates, 3 design systems and 20 style cards to start; search, filters, full-size screens and a live view; an offline copy ships with the plugin): start from one in a click, or share your own design to the market after a personal-data scan and an offline design check; after connecting GitHub once (public repositories only), submitting takes one click, and the web form still works. Mini program screens get the WeChat capsule in the top-right corner, which turns white over a dark top bar, and the design check flags text and buttons hidden under it. App and mini program screens follow platform layout (status and nav bars, a tab bar of 2 to 5 items, safe areas), desktop app screens get macOS traffic lights or Windows caption buttons, and the design check flags content under the Dynamic Island, the home indicator or the window buttons. Click an element or drag a region to put its selector, source file and styles into the composer, or draw on the preview (pen, highlighter, arrow, box, circle, text) and hand the marked-up screenshot to the model; picks, markup and style changes appear in the composer as small chips while the model still gets the full text. It can extract a brand design system from your website or project (colors by role, fonts, type scale, radius, shadows, buttons, inputs and cards) and use it for every new design. The model adds a few tweak sliders to each design (spacing, radius, brand color, layout variants) that update all screens live and write back to the stylesheet in one click. A finished design can be turned into React, Vue, Next.js or plain HTML code, or for mini programs into uni-app or native WeChat code; existing uni-app (including HBuilderX projects without package.json), Taro and native mini program projects are recognized so new pages go straight in, and each built screen is diffed pixel by pixel against the design. Also has a design tokens panel, twenty style presets (each a live sample screen you can open full size), a style panel (font size, colors, radius, padding and more) that writes back to the HTML or hands the change to the model together with the CSS rule and line behind each property, versions saved before and after each turn with drag-to-compare and restore, export to images, PDF and PPTX (links between screens stay clickable), a LAN QR link for viewing on a phone, link arrows and a click-through try-it mode, a multi-size view, in-place text editing, reference-image palettes, and a design check (overflowing, clipped or overlapping text, contrast, tap target size and more). Bundles a ui-design skill and seven tools: preview_page opens a preview; check_design measures every screen at real sizes in a hidden local Chrome or Edge (bars covering content, script errors, missing assets, dead links; CSS file and line for contrast and font-size issues; cropped screenshots of serious problems); look_design hands real screenshots to the model; extract_design_system builds a design system from a site or project; handoff_design writes a handoff pack (screenshots, routes, tokens, shared components); compare_design diffs the built local page against the design and marks what differs. find_photos copies matching placeholder photos from the photo library into the design. Adds a Design mode for new sessions (Standard mode's tools plus the skill, the seven tools and a design persona); each part has its own switch on the Plugins page. When DSH is opened from a phone or another computer, local-file designs are bundled into a sandboxed frame so they still show, and unchanged screens are not sent again. An experimental option, off by default, has the model also write business annotations (rules, states and edge cases the UI does not show), shown as numbered markers on the page and cards in the sidebar and passed on in code handoff.

Consumer panel for OpenBiliClaw inside DSH: a right-hand drawer with recommendations, saved lists, Socratic dialogue, profile and settings, plus 22 Agent Bridge tools so the agent can read recommendations, answer probes and save items. Requires a running OpenBiliClaw backend with Agent Bridge v2 (default 127.0.0.1:8420).

Compare multiple skills on the same task and pick the winner.

Connects Qoder (China and Global) subscriptions to DSH through personal access tokens, keeping each variant on its own credentials and catalog, with saved-token switching, sidebar quota cards, per-model toggles, a context-window preference and a daily check-in.

Adds Russian as a native option in Settings - General - Language for DeepSeek Harness, covering both the core UI and companion plugins. Localized Markdown export, in-message translation, live typography, slash-command aliases and an Alt+L layout fix, plus a settings card, all applied through a runtime locale snapshot rather than by modifying core files.

Adds /pua to steer the agent to try another approach and verify results before claiming completion, with 15 company styles, persona modes, global and per-conversation settings, and an optional loop that continues until a verification command passes, the iteration limit is reached, or the user cancels.

Diagnoses current and saved DeepSeek Harness trajectories with AgentDebugX and opens structured reports in its dashboard.

Applies OpenQuantum branding, browser metadata, and PWA assets to the native DeepSeek Harness web UI.

You.com agent skill provider and MCP setup for DeepSeek Harness (dsh), registered via ctx.skills

HuaweiCloud DevKit gives AI agents complete command of Huawei Cloud — build, deploy, operate, always governed, always secure.

Cross-session long-term memory as a local SQLite store: dual scopes (user + per-git-origin project), hybrid FTS5 + local-vector retrieval fused with RRF, an evidence gate that forces an explicit sufficiency judgement, provenance audit chains, SM-2 spaced-repetition review, consolidation distillation and decay forgetting, and a nine-view "Memory Palace" sidebar panel. 22 narrow-parameter tools, no external service, no API key, no Docker.

Controls your real Chrome from DSH over a local WebSocket bridge: tab management, navigation, DOM snapshots, page JS evaluation, clicks, typing, screenshots, waits and dialog handling behind a Settings toggle.

A whale-girl companion for the dsh web GUI: animations follow the agent state, with pat interactions and a feeding mechanic that raises intimacy from a calf to deep-sea bonds.

Deep-read books and articles in five modes (quick, deep, knowledge map, Feynman, full book) with claim-evidence-data reports, Mermaid/XMind mindmaps, batch comparison, budget preflight, transparent background-job progress, and MD/HTML exports from URLs, files, or pasted text.

Context injection audit: token costs of instruction chains / skill catalogs / tool schemas, duplicate and conflict detection.

AstrBot/DSH-native GPU coordination for local AI companions: LLM, IndexTTS and ComfyUI take turns, no proxy.

降低Deepseek v4.1flash的Token消耗/Raising Token efficiency with same performance(Works for v4.1flash)

🎬AI-Powered Director: MiniMax-H3 Video Generation Plugin Directed by DeepSeek-Harness. 🤖More than Prompting. 🪄Canvas UI.

Local Obsidian vault as the agent knowledge store, with read-only DSH tools that route status, preference, correction, memory, project, search, and suggest to the matching page.

Quantitative R&D toolkit for DeepSeek Harness — 59 tools across six domains covering market data, indicators, factor evaluation, walk-forward ML validation, risk (VaR/CVaR/drawdown/Beta with Kupiec POF), options, bonds, FICC and fund simulation, with an end-to-end PDAT→PET research pipeline.

Cross-platform Computer Use for DeepSeek Harness: virtual-mouse human-like operation (screen_observe + computer_click + type + key + scroll + drag, 11 tools), AX-tree zero-vision-cost mode with free GLM-4V-Flash vision fallback, safety guards (snapshot TTL / app whitelist / dangerous-action approval / password-box protection).

基于DeepSeek-Balance-Whale-Widget开发，新增了不同版本的表情，新增加台词自定义切换增加，增加了表情与台词手动切换，增加合并了dsh-pet功能，不需要单独安装，只需要一个插件就行

Bioinformatics agent preset with 17 BioDSH analysis skills (single-cell, bulk RNA-seq, survival, regression, ANOVA), a 2000+ skill library searched by a skill_library tool, per-message skill selection and a time/step convergence guard.

Per-model reasoning-effort and input-modality configuration for third-party providers: suggestions fused from a model knowledge base and raw /models endpoint evidence with confidence labels, edited inside the official Models page card.