Plugins

SiYuan (思源笔记) notes integration: 17 siyuan_* host tools covering notebook and document listing, full-text search, SQL query, reading documents and blocks, creating and appending content, moving and renaming documents, daily notes and block attributes, plus a Web settings page for the SiYuan URL, API token and per-tool switches.

Conversational Markdown mindmap workspace: edit complete documents step by step, keep a live right-side visualization synchronized, and open, manage, and export mindmaps from the working directory.

Bounded, cell-addressed `doc_read`/`doc_write` for xlsx / pdf / docx / pptx / ipynb, plus an MCP server and CLI.

Bounded, cell-addressed `doc_read`/`doc_write` for xlsx / pdf / docx / pptx / ipynb, plus an MCP server and CLI.

Design and video library for DeepSeek Harness: 716 indexed entries covering 256 design systems, 97 visual styles, 124 shot recipe cards and 204 craft documents, plus computed review, render-environment checks and overlap/overflow detection.

Local long-term memory for DSH sessions: archives older turns under context pressure, with a turn-summary index for faster turn lists, statistics, window probing and archive planning (rebuilt automatically when unavailable, with a manual full verification), four tiered hot-memory boards, project documents with enabled/disabled/archived filters and optional owner-controlled family sharing, project hot memory, dual user/assistant turn previews, memory families with editable names and root transfer, root-abdication recovery, orphan-family takeover, summary keyword locator with segment-level candidates and paging, manual injection, 20K segmented reads, and tag-related retrieval. Includes staged recall cues, automatic compatibility with older memory layouts, and post-install version verification. Off in each new session until you turn it on with `/palace on` or the Memory Palace tab. All data stays in the workspace.

Roleplay companion memory for DeepSeek Harness: per-conversation editable persona documents (1-100 weight per entry, AI may refine them in small story-driven steps), per-speaker favorability and bond in multi-person chats, active memories with AI-scored vectors, a nine-emotion table updated every turn, an AI self-evolution ledger, recent 48-hour transcript search, companion-style conversation compression, sleep-time compute that pre-guesses the next topics while a conversation is idle, per-conversation tone cards learned from its own past replies, a habit-hint small-model bridge that writes the user habits it extracts into this conversation memory, a date-archived local knowledge base with auto-packing by turns or tokens, and a unified integrations page that lists curated plugins and downloads their GitHub releases.

Bundles the 32 gis/ skills of opengis-skills (GDAL, QGIS, GeoServer, PostGIS, PROJ, PDAL, GRASS GIS, JTS, GeoPandas, Shapely, CesiumJS, OpenLayers, Leaflet, deck.gl and more) into the DSH skill catalog; only names and descriptions appear up front, and instruction bodies plus reference documents load on demand.

An AI-native multimodal canvas for DSH: preview images, video, audio, 3D models, PDFs, documents, and code; connect ideas and collaborate with agents in a persistent local workspace.

Generate and format Chinese Word (.docx) documents from a simple markup file, using built-in heading styles, SimSun and Times New Roman fonts, and per-chapter figure and table captions.

Built-in Obsidian-style knowledge base for DSH: agents distill conversations, documents and web sources into a structured .wiki graph, with retrieval, graph export, note editing, incremental builds and multi-vault management.

Three-layer local memory for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md) read on demand through the memory_* tools + L2 searchable knowledge base (facts + SQLite FTS5, Chinese search via sliding-window tokenization) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and from approved Agent Hub documents (memory/global, memory/projects, accepted decisions) with content-hash dedup. v0.2.0 removed every automatic injection: memory enters the context only when the model calls one of the 12 memory_* tools, and data stays on the local drive.

Config-driven development-task orchestration for DSH: graph workflows (task/gateway/human nodes) with per-stage persistence, plus an in-editor AI assistant that configures workflows through conversation with live validation. Hand documents to nodes as generic attachments (no declaration needed): files land in the task workspace and ${inputs.附件} gives the newline-joined absolute paths, so a node parses them with its own prompt.

Read-only heads-up display over a DeepSeek Harness conversation: one state word in the centre, fixed seats around the ring for terminal, code, search, documents, web and a catch-all, and a sub-agent ring when more than one agent runs.

A panel for editing DeepSeek Harness agent presets. It reads and writes the files inside a preset, switches its prompt injections, documents, skills and tool rows on and off, and installs or uninstalls the preset. Editing is line based, so YAML comments and layout survive. The same package also ships the injector and the doc_update write-back tool that a preset mounts.

Drives the installed AutoCAD over COM and exposes it to the agent as 18 mcp__autocad__ tools: connect and status, cancel the current command, list registered ProgIDs, list or create documents, save, create and list layers, draw lines, circles, rectangles, polylines, arcs and text, list entities, zoom to extents, and pass any native command through. A sidebar panel owns the Python bridge process — start, stop, restart, dependency bootstrap, live logs and crash recovery — and resolves every path at runtime, so the same bundle serves both the web app and the desktop app. Windows only, Python 3.10-3.12, AutoCAD 2022-2024 documented (2024 is the default; other versions require setting CAD_PROG_ID to the matching ProgID).

Adds drag-and-drop attachments for local files, folders, ZIP archives and Office documents.

Content-degradation detection (thinking loops, output repetition) for DeepSeek Harness, with a continue-vs-handoff cost verdict and zero-model handoff documents.

Feishu (Lark) integration for DeepSeek Harness: 25 tools for chat messages and history, cloud documents (including knowledge-base pages, generated charts and images), bitable records, spreadsheet ranges and drive permissions, using your own enterprise self-built Feishu app.

Convert Office documents and PDFs (including scanned ones) to structurally formatted Markdown via a CPU-first routing OCR pipeline (RapidOCR/SLANet/FormulaNet).

Writing bridge to the open-source QingAgent client: the agent drafts and revises documents through qing_ prefixed host tools, typeset on a rice-paper panel with mermaid, drawio, tables and KaTeX; edits stage as reviewable diffs and land only on commit, and it requires the QingAgent desktop app on the same machine.

A document preview / edit / management plugin for DeepSeek Harness. It provides a VSCode-style "Document Center" workbench inside the DSH Web GUI: a file tree on the left, click-to-preview, editable code & Markdown with Ctrl/Cmd+S save; and exposes three document tools (doc_read / doc_edit / doc_create) to agents, letting models read and write workspace documents through natural language.

Turns DSH session logs into Markdown work reports for a day, an ISO week or a month, grouped by working directory. Each session lists its requests, changed files, tool counts and interruptions, and a closing section names the most-changed files, generated documents and key commands. Adds the /worklog command, a worklog_generate tool and a settings page for the output folder, cross-day merging, the products list and an optional weekly timer.

A WeCom WeDrive picker for the DeepSeek Harness composer: a draggable floating window with list, column and gallery views, search, sorting and multi-select inserts selected files, documents and folders as official `@` reference chips. Data comes from a local wecom-cli with the official doc.weixin.qq.com selector as fallback, and a bundled wecom-wedrive-ref skill routes the chips to the matching wecomcli-* document readers.