Plugins

分层记忆与混合召回知识库插件：把「记得住人、能召回可靠信息」的记忆系统接进 DeepSeek Harness，附带来源标注、置信度兜底与画像管理

Let DSH speak: every reply is rewritten into natural spoken language before being read aloud, with code, tables, and Markdown handled gracefully. Works out of the box with system TTS; Doubao (third-party API) adds dialects and expressive voices; the local Kokoro engine runs offline to keep content on your device. Supports both DSH desktop and dsh web. Optional session sounds tell you when the agent is working, finished, or waiting for your answer — with swappable built-in tones and support for your own audio.

Export the current session as a readable Markdown file with dialogue only: user messages, assistant text, and ask_user_question answers, from a session-header button or the /md command.

Low-contrast dark theme that remaps DSH's alias tokens and adds its own chat bubble, code block banner and markdown heading colours.

Reading workbench for DSH: a cover-grid bookshelf and a paginated single/double-page reader for Markdown, TXT, HTML, EPUB, MOBI and PDF, with highlight notes anchored to text offsets and three agent tools for listing books, reading highlights and pulling text excerpts.

Long-term memory kept as plain Markdown plus git: each session opens with a generated memory-context block assembled from a global store and per-project books (role card, user profile, current focus, routing table, recent logs), the plugin records which memory files the agent read and reminds it to extract conclusions while the day's log is unextracted, personas live in roles/<role>/SOUL.md role cards, and it ships a seven-tab settings page in the sidebar plus four skills. Requires Python 3.10+.

Static-context audit for a DSH home: a six-layer baseline (rules, memory, skills, tool surface, sessions, KB), broken-path checks for a markdown capability map, memory duplicate/stale/over-limit reports, SKILL.md description compression, and tool-surface plus cold-start static-context estimates recovered from session logs. Four read-only DSH tools; writes require --apply and are backed up first. Requires Python 3.10+ on the host (stdlib only; all four tools shell out to the bundled CLI).

Local knowledge base and document search for DeepSeek Harness with full-text search, PDF/Word/PowerPoint/Excel/Markdown import, OCR, ACL, and a Web panel.

DeepSeek Harness UI polish: one Markdown style across every renderer, select-text annotations with numbered pins, a sidebar that drags down to 214px and remembers its width, a first launch that fills the screen, sidebar panel and plugin icons collected into one top row of five, and a colour-cycling marker for running sessions.

Annotation-driven Markdown manuscript review with proposals and human review baselines

Markdown display enhancements for the DSH Web chat, applied on top of the host renderer rather than replacing it: code blocks become cards with a language label and icon-only wrap and copy buttons, long code blocks, tables and Mermaid diagrams fold behind an expand control, Mermaid fences render as SVG with a diagram and code toggle, a fullscreen viewer with wheel zoom, drag and double-click to fit, and SVG or PNG export, tables get a sticky header and CSV or Markdown copy buttons, and a settings panel adjusts the diagram palette, code font size, the default diagram view and the three fold thresholds.

Local-first character archive in the DSH sidebar: it interviews you about someone and writes the answers into Markdown cards, imports SillyTavern character cards, writes a novel chapter by chapter, and roleplays with a card plus its world book; anything written into a card has to be quotable from material you wrote.

Dockable side panel that keeps an XEChat chat session connected over a single WebSocket: markdown messages with images and emoji, server switching through #showServer and #login, an online member list, a full-screen panic overlay, and dock side, width and visibility persisted to localStorage.

AI Book Shelf: read EPUB, PDF, TXT, Markdown, HTML, FB2 and DOCX; select text for one-click background and explanations, then follow up without leaving the page; full-book search, online book search and custom sources; paper mode with translation, bilingu

Local knowledge base for DeepSeek Harness: distills workspace and chat-attached PDF, Word, Excel, Markdown, TXT, CSV and HTML documents into Markdown notes, with a VS Code-style viewer, per-workspace access grants and agent tools to search, read and add notes.

Learns a user's coding conventions from instructions and corrections, stores them as confidence-scored rules in editable Markdown, and injects them as reference data into every session. Rules that decay out of range or contradict a newer rule stay visible for review instead of being applied.

Claude Code Desktop-style selection quoting: select text in a conversation to reply to that passage from a popover, or fork the session into a side chat in the right sidebar with the selection quoted. Quotes sit above the composer as removable cards, are sent as plain Markdown blockquotes in the same format as Claude Code Desktop, and render as clamped quote blocks in sent messages.

Adds a full-screen dialog for writing long messages: Markdown on the left rendered live by marked on the right, with a draggable splitter that remembers its ratio. Confirming writes the text back to the composer draft, keeping command tokens and @-reference chips as a fixed prefix; Esc asks whether to discard or write back before closing.

Turns PDF, Word, PowerPoint and Excel files into Markdown or plain text with heading levels preserved where the source allows it, and refuses scanned PDFs that have no text layer instead of writing an empty file, naming the OCR alternative instead. Requires Python 3.10+ and pip install -r requirements.

DocChain knowledge base, document conversion and knowledge-graph toolkit — filename, content and metadata search, locate-by-doc_id/name with content reading, topic listing, bulk document upload, document-to-Markdown conversion, image-similarity search, per-document image descriptions saved to a sidecar markdown (flowcharts and architecture diagrams are turned into PlantUML sketches, other images into text descriptions; the original image is replaced by a clickable link), a deep-research workflow, and a knowledge-graph layer (ontology inspection, read-only Cypher, ontology/entity/relation writes). Every script-backed capability also ships as a native DSH tool executed in-process: doc search, content search, filename search, topic info, metadata search, upload, image search, image describe, doc2markdown, plus kg schema / kg cypher / kg upsert node / kg upsert relation / kg delete node / kg delete relation. All graph operations go through the DocChain API, so no Neo4j password is needed. The configuration page keeps several docchain environments (each with its own address and credential), switches between them in one click, and pre-selects topics per environment. Needs a docchain service URL and API key (except doc2markdown); image descriptions additionally need an OpenAI-compatible multimodal endpoint (defaults to an internal gateway model, configurable).

Document review workbench: select text in a Markdown file, leave comments saved as MRSF sidecar files next to it, and let the agent read them with doc_review_* tools and propose edits you accept or reject.

Convert PDF, Word, PowerPoint, Excel, HTML, CSV, JSON and ZIP files to Markdown for the model, using a bundled JavaScript engine or Microsoft MarkItDown.

Workspace memory for DeepSeek Harness ported from ZCode: one Markdown memory directory per workspace (a MEMORY.md index plus one file per fact), injected into each main session and refreshed by a background extraction request after completed turns; a sidebar page browses the stored files read-only.

Local knowledge base for DeepSeek Harness: six tools to ingest Markdown, plain text and PDF files, search them with BM25 or hybrid BM25 plus optional local embeddings, and answer with cited source passages. Runs offline with no database server. Requires Node.js 18+ and Python 3.9+; PDF ingest needs pymupdf.