Plugins

DeepSeek Harness Web plugin — PDF text-layer and scanned-PDF OCR, Office docx/xlsx/pptx to Markdown, TIFF/epub and long-document index cards.

Markdown sidebar preview and source editor for dsh-better-sidebar, with block- and text-range annotations that can be sent to the conversation as structured revision requests.

Copy selections from assistant messages as Markdown, preserving links, LaTeX sources, and code-fence language info.

Turn raw data (CSV / pasted table / SQL results / DuckDB) into a structured Markdown report with business conclusions, metrics and charts.

Session row menu extras for DeepSeek Harness: pin sessions, copy session id, export structured Markdown, and permanently delete sessions.

Workspace file tree for the Web UI: multi-tab preview (text/DOCX/PDF/Markdown/CSV/images), inline Markdown editing, a Git changes panel, and file operations (rename/delete/copy/move/create) via context menu.

Local Markdown user and project memory for DSH: pinned preferences, keyword search, soft invalidation, history and archive, and JSON migration with preview, backup and rollback.

HTML↔Markdown conversion, GFM table normalization, and TOC generation.

Side web-preview panel: local static hosting, Markdown/code/image preview, one-click run of non-static projects (Cargo/npm/Go/Python) with live logs, drag files into the chat (saved to the workspace), element mark & annotate, workspace file search on 404, and link-click takeover into the side panel.

Official KolmoPDF plugin for DeepSeek Harness: six tools for PDF-to-Markdown/OCR with formulas and tables, layout-preserving PDF translation, Markdown export to DOCX/PDF/HTML/LaTeX, cost estimation, and a Settings → KolmoPDF key and live-credits panel. PDFs and Markdown you process are uploaded to the KolmoPDF cloud service (www.kolmopdf.com) with your API key, and conversions use your KolmoPDF credits.

Turn useful conversations into a knowledge base you can revisit. Start a discussion with /cardex and end it with /cardex end; a model organizes the questions and answers into Markdown cards, a knowledge tree, and an offline graph. Related discussions can add to existing cards, with links back to the original questions and answers, so your knowledge keeps growing and stays easy to browse. Cards and the graph are written to ~/journal/cardex unless you change it with /cardex dir, and the recorded discussion is sent to the organizing model (the session's model unless you pin another one).

A DeepSeek Harness document-redaction workbench adapted from whatcccup/cece_legal_skills (MIT). Processes DOCX, PDF, TXT and Markdown locally, with human review, PDF masking and OCR-line review, case-consistent placeholders, Word restoration, history and optional Agent rule previews and rollback. Requires Python 3.9+ and first-run dependency downloads; model access is needed only for rule generation. Version 1.4.0 is a prerelease verified on macOS Web and DSH desktop; new Windows setup and OCR paths await on-device revalidation. The upstream is a standalone offline tool/SkillHub skill, not a DSH plugin, so it cannot be installed alongside this bundle.

Fully local long-term memory for dsh: cross-conversation and cross-project, stored as a single JSON file on your machine with no network calls, no model calls and no API key. Ships memory_save, memory_search, memory_list, memory_forget and memory_review tools, keyword-and-tag recall injected before each turn with adjustable ranking weights, Markdown import (including Kun and Hermes Agent formats) and export (native and Hermes Agent formats), and a settings page to browse and edit memories.

HarnMem memory plugin for the DSH (DeepSeek Harness) agent: byte-stable hot-index injection, memory tools, session-end extraction, and a read-only memory browser panel.

Scratchpad panel for DeepSeek Harness: tagged notes, image/file attachments, Markdown task lists, send-to-chat, a wake-up shortcut, JSON export/import, and Agent tools.

Cross-harness agent memory for DSH: one plain-file store shared by the DSH and pi adapters and the harnmem CLI, so a memory written in one harness is available in another; injected as a byte-stable hot index, with five harnmem_* tools, session-end extraction, and a read-only memory browser panel.

Turns course files (PPTX, PDF, DOCX, Markdown) into an outline, per-chapter key points with quoted evidence, Bilibili video picks, syllabus coverage, and Anki/JSON exports.

Claude Design System theme for DeepSeek Harness: warm-grey surfaces and a clay accent, refined composer, sidebar, code blocks and Markdown, localized edit/write cards with workspace-relative paths, and an ASCII ocean on the blank-session page with three whale colour modes.

Long-term memory for DSH stored as plain Markdown. Real user/assistant exchanges are captured into daily session files without a model call; an LLM pass then distils them into memories that are injected into the system prompt each turn. Retrieval is local (CJK bigram + BM25) in three levels — index, summary, full text — so the model only pays for the detail it asks for. Memories carry priorities; P0 and user-written entries are never changed automatically, and forgetting marks an entry stale instead of deleting it, so the whole chain stays auditable in status.md. Six tools cover recall, write, status, extract, feedback and the skill library; when a cluster of memories is ready to become a skill, a card appears at the end of the turn, writes the SKILL.md on click, and installs it only after you approve. Learning is on by default and follows the conversation model; turning the master switch off stops the LLM entirely while capture keeps working. Failures are surfaced in the prompt and in status.md instead of being swallowed. Pure JavaScript, no third-party runtime dependencies beyond the harness packages.

Cross-session memory kept as a short Markdown living document that is rewritten in full at the end of every turn, written to by model tools, the page, and automatic rewriting alike.

Turn any DSH selection into a reviewable quote — chat, file preview, terminal and diff; code quotes carry path#line. A sent quote keeps a source highlight and ordinal and jumps back, then joins a searchable review list with status, tags, multi-select insert, and Markdown/JSON export. Quotes collect above the composer as a 引用 ×N bar with per-chip edit and remove; side threads can bring their conclusion back to the main draft; a sent quote can be revised, with the old capsule marked superseded; replies can answer each quote by number.

AI-agent-driven automated testing platform for DeepSeek Harness (dsh): drives the harness agent through long-lived multi-round sessions to write and run Markdown test cases, file bug reports, fix the code and re-verify the fix, with a per-project serial queue, a development board and built-in load testing.

Markdown rendering for DeepSeek Harness sent user messages: every message bubble renders lists, code, tables, quotes and inline formatting through the host's own Markdown pipeline, while queues, previews and the composer keep their plain projection.

Wraps the Scrapling Python library in up to nineteen model tools, registered by probed capability: real-browser rendering for JavaScript-only pages, CSS/XPath extraction that returns data instead of Markdown, self-healing selectors, reusable login-state sessions, XHR capture, page screenshots, gated browser actions and a domain-scoped crawler with content/sitemap/feed/Shopify modes on the official job backend. It can also replace the built-in web_fetch / web_search, and serve the same tool table over MCP. Requires Python 3.14+ with Scrapling installed; the browser tools also need a Chromium engine for patchright, which an optional CLI installs on macOS arm64 only.