Plugins

Fetches Tsinghua MadModel API tokens and renews them from the saved SSO session on a 20-minute timer in a windowless browser, writes the token into the DSH credential MADMODEL_API_KEY and creates or reuses the madmodel model provider; one manual Get captures that session through the campus login window.

Aggregates every WorkBuddy account already signed in on this machine into one model pool, with manual and scheduled check-in, credits and expiry monitoring, per-model credit multipliers, and account switching with remaining credits right below the composer.

Shows per-turn and session costs, provider/model breakdowns, subscription usage and the signed-in DeepSeek account balance in the sidebar.

Show the model exactly which part you mean: select passages in a Web conversation and they go into your next message as composer chips, each with an optional note you can edit. Quoted passages stay highlighted until you send, hovering a chip shows the full quote, and the sent message shows each quote as a card.

Lets the model turn an answer into a web page that lives right inside the chat. The show_page tool either fills one of 8 built-in templates (report, compare, checklist, dashboard, timeline, flashcards, quiz, flow), where the model writes only the content and the plugin does layout, interaction and saving, or saves a full page the model wrote itself (calculators, games, custom layouts). Hand-written pages get the same design as base styles inside a CSS @layer, so the page's own CSS still wins. The page appears under the reply at its content height, interactive and following DSH's light/dark theme. The page's localStorage is stored in DSH per page, so what users tick or type survives reopening and new versions, and the same page open in the chat and the right sidebar stays in sync. Each edit is saved as a new version you can flip back to. After saving, the page is checked in a hidden local Chrome or Edge (script errors, horizontal overflow, dark mode not applied) and problems go back to the model. The right sidebar shows the page full-size with versions, a gallery of all pages and export to PNG, PDF or HTML. Pages run in a sandboxed, separate-origin frame with a strict CSP: no access to DSH data and no fetch, XHR or WebSocket. Works on phones with dsh-mobile.

Port of pstack to DeepSeek Harness: 58 agent-workflow skills plus a deterministic router that picks each subagent model from the models you checked for subagents.

Reads and edits STEP models through FreeCAD, measures geometry (distance, angle, diameter), and generates first-angle 2D machining drawings with a hole table as SVG, DXF, PDF or PNG.

Connects the hosted Knowra MCP server: search arXiv papers by topic, author or exact UTC dates without an account, and sign in with OAuth from the plugin page to read Scout reports on methods, evidence and limitations.

Registers the models bundled with the Xunfei Loomy desktop app as a `loomy` provider in DSH, reading the app's local sign-in session instead of an API key. Fork of gdrpzym/dsh-loomy-connect adapted to DSH 0.2.1, adding a per-model enable/disable switch. Requires the Loomy desktop app installed and signed in; it cannot be installed alongside gdrpzym/dsh-loomy-connect because both register the same `loomy` provider.

Brings the models available in the logged-in WorkBuddy desktop app into the model picker, reusing the app login and credits; the domestic and international builds appear as two separate provider groups. Continuation of the now-deleted corrinehu/dsh-workbuddy-connect; it registers the same workbuddy / workbuddy-ai provider ids, so it cannot be installed alongside other WorkBuddy bridges.

Layered long-term memory for DeepSeek Harness: each turn injects a persona frame plus a relevance-ranked memory index while full transcripts stay on disk and are expanded on demand, so the vault never floods the context window. Facts are slot-keyed, so a changed mind retires the old value instead of recalling two contradictory answers. The persona frame is derived from memory by the model itself, behind three anti-pollution gates (rejecting development chatter, blocking echoes of its own injection, and merging restatements by shared content words). Periodic consolidation merges near-duplicates, rolls long topics into digests, and archives low-value old entries by tagging only — raw text is never deleted. The append-only store is compacted in place (measured 4.7 MB to 355 KB). Zero third-party dependencies, no build step. Note: per-turn injection inevitably lowers prompt-cache hit rates, so this plugin is not recommended for work scenarios.

Remote-control DeepSeek Harness from a HarmonyOS phone: list, switch and create sessions; send prompts (the phone follows the host's busy-enter behaviour, queue or steer); stream assistant text, reasoning and tool steps; answer approval requests and questions; view session images as inline thumbnails with on-demand full-size fetch; switch model and reasoning effort; cancel running tasks; receive push notifications. Traffic is end-to-end encrypted (AES-256-GCM with HKDF-SHA256 key derivation) and travels through a dumb-pipe relay that only sees ciphertext; v1.1.3 adds a session-epoch anti-replay handshake and optional native TLS for the relay. The relay can be hosted on the local machine (managed by the plugin) or on a VPS; the phone app and the plugin ship in one repository. 5 Remote methods.

Structural long-term memory for DSH: supersede, decay and entity-state tracking across 15 MCP tools, automatic recall and capture hooks, and a bounded pointer index published per request instead of filling the window. Requires Python 3.10+ with torch and sentence-transformers; the first run downloads a ~470 MB embedding model.

Windows-only model provider for Google Antigravity CLI, continuing Darkings/dsh-agy-provider (install as dsh-agy-cli; do not install alongside the original). It reads the Antigravity token from the Windows Credential Manager and sends it only to the Google Cloud Code endpoints, lets DSH own the harness tool policy, streams the tail without rollback, and tracks the real quota windows.

Control plane for the harness's own Agent Teams: members are ordinary independent sessions created through the same seam the GUI uses, each with its own model, so they open and continue like any other conversation while a sidecar roster and task board coordinate them. Task entries carry a definition of done, a member's completion is submitted and waits for the Lead's review, and availability tells idle apart from awaiting-review or a failed last turn. With delegationEngine=auto it uses independent sessions, continuable subagents, or the kernel roster depending on what the composition provides.

DeepSeek Harness plugin that stops hand edits to generated files (lockfiles, protobuf/codegen output, files marked @generated or DO NOT EDIT) and tells the model which source to edit and what to run instead.

DeepSeek Harness plugin that catches the wrong package manager for the repo (npm install in a pnpm repo, pip install in a uv/poetry project, and so on) and gives the model the exact right command.

把 Qoder 模型接入 DeepSeek Harness：用 PAT 调用与 Qoder CLI 同源的模型服务，支持国内版 / 国际版双区域、模型开关、上下文窗口与每日签到，并提供只读的额度概览。

All-media (video/audio/image) sibling of liustack/modlens: turns local media into structured evidence (timeline / transcript / layout regions) injected into the conversation so text-only models can cite concrete frames, seconds and speakers — Evidence, not imagination. One failover chain per media, recorded hop-by-hop in meta.attempts (a fallback is never silent): host-registered multimodal models first, then a configured OpenAI-compatible endpoint (comma-separated multi-key rotation), then local ffmpeg frame-sampling / a local ASR CLI, degrading to metadata-only as a last resort. Absorbs modlens battle-tested rules — cooldown keyed only on auth/quota failures and softened to chain-tail (never dropped), redact-before-clip error text, magic-byte sniff that never trusts file extensions. Optional vision-bridge registers a media-lens wrapper into the host model selector so a pure-text model gains image/audio/video sight. Registering / authenticating multimodal models and true inline audio-video upload lean on two companion plugins, declared as optional peers (absence auto-degrades, never errors): dsh-thinking-levels fronts the model config / registration surface, dsh-llm-openai-completions takes over the OpenAI-compatible transport that serializes file blocks into video_url / input_audio. Privacy: media goes to remote providers by default; strictLocalOnly keeps content on-machine. Prerequisites not shipped with the package: ffmpeg/ffprobe on PATH (frame sampling / reencode / duration probe; degrades to metadata when missing) and a user-configured local ASR CLI for the audio fallback. Hosts 0.1.7 / 0.2.0 / 0.2.1 (6 rc, exact engines.dsh enum). npm: dsh-media-lens.

MCP server manager for DeepSeek Harness settings: add streamable-http or stdio servers, paste Postman-style headers, test connectivity, and toggle each tool so disabled ones never reach the model.

OpenCode free models for DSH with dynamic model-list refresh, optional HTTP(S)/SOCKS proxy failover, a fail-closed tool bridge and offline agent-scoped compatibility auditing.

Connects CLIProxyAPI (CPA) to DeepSeek Harness (DSH) with multiple accounts, model filtering, native protocols, quota lookup and image / video generation; once configured, the selected models appear in the model picker automatically.

Community-maintained WorkBuddy and WorkBuddy AI model provider using local desktop sign-in, with model discovery and credit display. Version 0.1.12 supports per-model context-window selection and DSH 0.2.1-rc.2, rc.3 and rc.5; its CN compatibility layer differs from the functy23 fork. Derived from corrinehu/dsh-workbuddy-connect (MIT), it registers the same workbuddy / workbuddy-ai provider ids, so it cannot be enabled together with the original or other WorkBuddy bridges. Version 0.1.12 requires authenticated Host owner access for status and control routes.

Brings the free models of a locally installed OpenCode CLI into DSH: starts or reuses a local opencode serve, discovers the live catalog and refreshes it every five minutes, and bridges the session event stream to OpenAI-compatible SSE through a loopback-only shim that validates Host and Origin.