Plugins

Captures the agent's own self-reported mistakes into a categorised lesson library that is re-injected into the system prompt every turn (each captured draft is confirmed or edited by the user before it is recorded), and adds two conversation-header panels for editing the cross-conversation global prompt and a per-session prompt.

Icon console for the DSH desktop app: import one icon and apply it to the desktop and Start Menu shortcuts (immediately), the application window image and the system tray image (after a restart), with automatic backup, one-click restore, a named icon library, and restart/exit controls.

Three-layer skill management for DeepSeek Harness: a library pool, per-workspace enablement whitelists, and per-session picks, with a Web settings panel, a conversation-embedded view, a skill file browser/editor, zip and folder import, and engine-load validation.

Technical documentation agent preset for DeepSeek Harness: template-driven writing with a self-learning template library, AI-flavor removal for tech docs, and a quality-assurance toolkit (document audit, cross-document consistency, numbering resequencing, version sync, PDF and Word export, screenshot automation).

Renders Wallpaper Engine scene wallpapers in real time in the browser (three.js player plus a Rust/WASM CPU particle simulation) and plays video and web wallpapers, falling back to the preview image, with no Wallpaper Engine runtime required. Scans the local Steam workshop library (431960) by auto-detection or a manual path, and offers a settings panel for wallpaper selection, library and engine directories, glow, pause and quality.

A desktop pet plugin for DeepSeek Harness (DSH): import Codex-style sprite-sheet pets and render them in the DSH Web GUI as a floating shell.overlay, with a pet library, interactions, and Agent-state linkage. / DSH 桌面宠物插件：导入精灵图序列帧宠物并在 Web GUI 悬浮渲染。

A usage and reference-cost panel for DeepSeek Harness with today, 7-day, 30-day, all-time and custom ranges aggregated by hour or day; a model filter and a per-model breakdown of requests, input and output tokens, cache, reference cost and share; a model-share card showing the top four models by total tokens with the rest grouped as others; a configurable per-million-token price table seeded with DeepSeek's prices, with reference cost switchable between ¥ and $ at a fixed 1 USD = 7 CNY; and a yearly heatmap drawn only with theme variables, with no third-party chart library.

Paper reading workbench: a paper library, the PDF beside Markdown notes and one dedicated AI session per paper. Highlights and region screenshots go straight into notes; select-to-ask sends the passage with its page; notes are editable in place with autosave; sessions can be combined into a Summary.

Coding-learn floating panel: edits and runs Python/JavaScript/TypeScript/PowerShell with exit code and timing, grades JSON course lessons with progress export, keeps Markdown notes and snippet library, and sends code plus a question into the current conversation for the main model to answer.

Adds a 3D model library in its own conversation tab, where agents store models built from CadQuery scripts or supplied as tessellated meshes; the library previews them with three-cad-viewer, organises them into folders and exports them to 10 formats including STEP, BREP, STL and DXF.

AI audio generation for the DeepSeek Harness web GUI — multi-vendor TTS, music, sound effects and voice design with a sidebar panel, model comparison, resource library and Agent tools.

AIEO (GEO/AEO) delivery method as one isolated skill provider: AI-visibility diagnosis on a 0-9 score, positioning, search-term mining restricted to whitelisted platform exports, periodic monitoring and an HTML monitoring dashboard, chained by one shared question library, plus a landing-page cloner.

Search AIGC Radar's curated GitHub AI project library (500-star admission, bilingual zh/en tags, star-growth snapshots) over its MCP endpoint with native result cards; an agent/pre-step listener proactively suggests a reuse check before the agent writes code.

Sticker/emoji expression for assistants: emotion-driven auto-matching, library management, AI image tagging, dialects, style mimicry, and chat-based tag refinement.

Wallpaper backgrounds for the DSH web GUI. Windows: reads your Wallpaper Engine (Steam) library and plays video/web wallpapers behind the chat. macOS: scans the WaifuX download folder and loose media folders automatically — anything saved in WaifuX becomes a DSH background with zero setup. Liquid-glass blur, dim and border sliders.

Academic tools in TypeScript, no Python or MCP server: the Zotero library through its local API or zotero.org (search, annotations, full text, citation export; add by DOI / arXiv id, notes and tags when writing is turned on), starting Zotero when it is closed; paper search across arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed and Europe PMC, plus CNKI and Google Scholar through a browser window; open-access full text, citations from the DOI registry, reference checking; 11 bundled skills.

A research library panel and skill set for DSH: project folders, figures with registered provenance, drafts, references, data tables, journal profiles and submissions, plus writing, citation and Origin-plotting discipline for research agents.

A project-scoped memory plugin for DSH. Knowledge authoring and the plugin's own prompts are open to editing, so users can redesign the library structure and how the model is driven without changing a line of code. By default the library is built on one core idea: a project document you design yourself (a handoff by default) is the project entity; the plugin detects which project a session belongs to, binds captured knowledge to that project, and promotes what generalizes into theme and global layers. The most natural logic there is does the pre-filtering of knowledge, with controllable compression and archiving of context.

Prompt library stored in the plugin config, with a Settings page and a composer picker: the ticked prompts are injected into every model step of that session, and a subagent inherits the selection of its nearest ancestor session.

Think tank: a built-in library of 161 classic mental models (decision/strategy/cognition/psychology/communication/learning/system/innovation/execution) — enter one question and several selected models analyze it in parallel via AI, producing a synthesized report with consensus, disagreements, blind spots and an action checklist; supports both automatic analysis and prompt round-trip import.

On-demand skill tools for DeepSeek Harness: registers skill_search / skill_load / skill_ref so the model searches a staged skill library first and loads a skill body only when it needs it, keeping the library out of the resident session catalog and out of every turn's context; adds a Skills tab to the conversation view ring that reads back the whole session and lists which skills were actually loaded, and in which turn. Zero dependencies, and the records render client-side only, never entering the model's context.

Self-contained personal portfolio and investment-research workspace for DSH with local registration, asset import and allocation views, market and news tracking, a research library, and optional user-configured AI briefs; ships a Windows runtime and stores data locally.

Fronts stdio MCP servers with three router tools (list_capabilities, describe_tool, call_tool) so schemas load on demand instead of riding every request; shapes every tool result through a deterministic output ladder that archives the original first (retrieve_spill reads it back); prices tool groups in tokens and can hide built-in groups per agent. Bridges to a standard-library Python router, so Python 3.9+ is required.

Local media library management and playback powered by dsh Web: responsive on PC and mobile with touch swipe reels, instant seeking and on-the-fly transcoding.