Plugins
Browse, filter, and install DeepSeek-Harness plugins.
564 plugins found
dsh-milvus
zilliztech/dsh-milvus
Read-only DSH Web plugin for inspecting and searching Milvus or Zilliz Cloud collections from chat, including scalar, BM25, dense, and hybrid queries.
dsh-goal-mode-enhance
karloflaw/dsh-goal-mode-enhance
Visual goal lifecycle for the DSH web UI: a composer dock to create, multiline-edit, pause, resume, complete and clear session goals with live round progress, plus a phase-dot composer entry and a settings-page goal overview.
dsh-side-chat
lukeknow0/dsh-side-chat
Codex-style temporary side conversations for DeepSeek Harness.
dsh-native-session-manager
wsl043/dsh-native-session-manager
Manages archived DSH sessions in the native sidebar with conversation search, restore, and confirmed safe permanent deletion.
dsh-chat-tools
free-corner/dsh-chat-tools
Chat column width and alignment control, numbered question history with keyboard navigation and auto-load of older questions, and markdown outline rails for both the conversation and the file preview.
dsh-codex-suite
damonbao/dsh-codex-suite
OpenAI Codex provider for DeepSeek Harness with ChatGPT OAuth, native settings, and account usage.
dsh-session-delete
wsl043/dsh-session-delete
Adds a red permanent-delete action with a confirmation dialog to the native session menu.
dsh-conversation-density-map
weien666/dsh-conversation-density-map
Adds a non-uniform conversation density map(chat history markers) to the right of the DSH chat area: one tick per turn, with tick length and spacing reflecting message size, clickable to jump to a turn and expanding on hover when crowded.
dsh-nav-pointer
kongdexu/dsh-nav-pointer
Vertical message pointer rail on the left edge of the chat: one dash per user message, click to scroll to that message, hover for a preview bubble.
dsh-deepseek-chat
coldcgh/dsh-deepseek-chat
Web chat entry for DeepSeek Harness: a sidebar button opening chat.deepseek.com in a dedicated desktop window under dsh-desktop, with in-webview fallback for plain web environments.
dsh-messaging (messaging-core)
534119219/dsh-messaging
Unified messaging gateway for DeepSeek Harness: 27 IM platforms (Telegram, QQ, WeChat, Discord, WhatsApp, Feishu and more) in one plugin, with QR scan-to-authorize, per-platform workspaces, slash commands, and a web setup dialog.
dsh-ui-agents-pixe
eternalnight996/dsh-ui-agents-pixe
Adds a "Work Roles" tab and a pixel-art office overlay to the DeepSeek Harness Web UI: 508 built-in role cards (The Agency 255 + agency-agents-zh 253) with search, EN/ZH toggle and department filter; draggable Canvas 2D pixel characters that stand, type and pace, with idle chat that can plug into AI. One-command npm install, no dsh source changes.
dsh-taskboard
ttmouse/dsh-taskboard
Full local-first issue board embedded in the DSH web GUI: Kanban / list / Gantt / workflow / dashboard views, AI chat per task, attachments and labels, auto-claim of todo tasks driven by dsh-routines — data lives in local SQLite (dsh plugin add @ttmouse/dsh-taskboard).
dsh-im-gateway
lijian-ui/dsh-im-gateway
Multi-channel IM gateway plugin for DeepSeek Harness (dsh): DingTalk / QQ / WeChat(iLink) with QR-scan binding, streaming replies, and a unified ctx.imGateway service. 为 DeepSeek Harness 提供钉钉/QQ/个人微信多 IM 通道接入。
dsh-im-hub
threebody6666/dsh-im-hub
Multi-platform IM gateway for DSH: Feishu (Lark) WebSocket long connection (no public URL), WeCom AES-encrypted callbacks, and Telegram long polling — per-chat agent sessions, whitelist access, and a visual settings card in the web GUI.
dsh-wxauto-plugin
br1nosense/dsh-wxauto-plugin
WeChat automation for DSH: push task progress to WeChat, listen for messages with keyword auto-reply, and a WeChat ↔ DSH two-way bridge controllable from the settings page, built on wxauto4.
dsh-wechat-mp-studio
funcwei/dsh-wechat-mp-studio
WeChat Official Account content studio: anti-homogenization rotation writing, low-creativity remediation playbook, blessing-image visual baseline, gpt-image pipeline with OCR acceptance, and the measured xiaolvshu draft web API.
dsh-mermaid-image-preview
baconbao/dsh-mermaid-image-preview
Preview Mermaid diagrams as images via local rendering in DSH Web when the chat message contains a Mermaid fenced code block, and also allow integration with external rendering servers.
visual-review
wang-bool/visual-review
Renders pasted/uploaded images inline in the DSH Web chat and gives text-only models vision: the model-invokable visual_review tool calls any OpenAI-compatible multimodal API first, falling back to a local Qwen3-VL worker.
dsh-vision-mix
haiziyao/dsh-vision-mix
Combine text, vision, and image-generation APIs into one Mix model with automatic routing: text-only requests go to the chat model, user images and agent screenshots go to the vision model, follow-ups keep using the same session image, and agents can generate or edit images with session-scoped call history.
dsh-ds-attach
wqx-txdsyl/dsh-ds-attach
**DeepSeek Chat (chat.deepseek.com) same-style attachments**: paperclip upload button, 240×64 DS-style file cards with official colored doc icons (PDF/DOCX/XLSX/PPT/IMG extracted from the DS frontend bundle), drag-and-drop, text extraction (PDF/DOCX/XLSX/TXT) injected into the message, and real attachment cards rendered in the transcript (custom user renderer) with the model reading full content.
dsh-plugin-spur
huanlinoto/dsh-plugin-spur
聊天流中悬挂皮鞭,甩动鞭梢(>2.0 px/ms)即向 agent 发送 go work 消息 | A whip hanging in the chat stream; flick the tip (>2.0 px/ms) to send the agent a "go work!" message
dsh-llm-vision-bridge
einskyle/dsh-llm-vision-bridge
Native LLM-provider vision bridge: images pasted in the chat are described by a vision model (Qwen3-VL via pi-ai/llama.cpp) and the text description is fed to text-only DeepSeek for the reply — image admission, routing and compaction all run through harness-native mechanisms, with an LRU description cache and 503 retry.
dsh-web-search-openrouter
vitas/dsh-web-search-openrouter
Runs the built-in web_search tool server-side on an OpenRouter-compatible gateway, so search uses the same endpoint and key as the chat models: three request protocols, every citation shape parsed (including snippets recovered from the cited span), and a settings card with a live connection test.