Plugins

Connects DSH to timestamped video reading, shared queues/history and Scroll personal Bilibili workflows through an existing Video Reader installation. Windows x64 only: install the core and set VIDEO_READER_ROOT before starting DSH; the bundle does not install Python, FFmpeg, models or Bilibili credentials.

Local task checkpoints and bounded recovery for DSH, with optional L0–L3 hierarchical memory, dependency-aware retrieval, prerequisite-aware context, and six opt-in memory tools.

大肥鱼衣橱 — DSH 插件：token 花销变鱼粮，侧边栏内置「换装间」换装小游戏（养女儿向、内容保守：自研 WebGL2 2.5D 动态角色 = 59 骨绑定/蒙皮/发丝裙摆物理/眨眼口型/双身形，上衣×下装任意混搭 + 背景特效 + 悬浮小鲸鱼；需浏览器支持 WebGL2，不支持时仅文字提示），纯本地离线可用；另含 21 件原创 SVG 单品与报告卡出图

Animated AI companion for DSH with image and file chat, shared memory, reminders and background work; reads Bilibili videos through an installed dsh-bili-watch or dsh-bili-scroll plugin.

DeepSeek Harness native adapter for tabellio: budgeted auto-recall, native memory tools, and explicit-clue candidates. The memory core stays in tabellio.

DSH Pixel Team：DeepSeek Harness 的像素洞府多智能体团队协作与交付流水线（AgentTeams 衍生，MIT）。

Delegate subtasks to Herdr-managed coding agents from DeepSeek Harness: pick the model, keep the pane, harvest the exact result, review in DSH.

Turns an ordinary conversation into a guided study session, keeping progress and lectures as dated files that survive a restart. A Study tab shows how far you have got and which ideas are still shaky without writing anything, and a Lectures tab lists each course's lectures as draft, dated, or archived.

DeepSeek Harness plugin: Cursor models as the `cursor` LLM provider, with one Cursor agent per DSH session

Verification gate for DeepSeek Harness: run typecheck/lint/tests after edits, and keep the agent working until they pass.

DSH-native skill intelligence cockpit: task decomposition, cross-domain multi-skill composition, skill authoring, local recommendations and safety scans for DeepSeek Harness.

Hogwarts-loop as a DeepSeek Harness plugin: per-role subagent dispatch on configurable models, with a client settings page.

Local AOSP Android VM for DeepSeek Harness: preview rooted APKs at up to 60 fps, automate UIAutomator flows, and give each Agent an isolated VM.

DeepSeek Harness plugin for skill-healthcheck: keeps the skill journal while dsh runs and adds /skill-healthcheck to the chat.

Control DeepSeek Harness Desktop sessions from WeCom on your phone, with session and model switching, tool approvals, task results and generated files, and QR setup in Desktop settings. Needs a dedicated WeCom smart bot; the first person to send it a direct message within 10 minutes of the QR scan (or the 6-digit code from the settings page) becomes the owner, and only the owner's direct messages are accepted afterwards.

Wire up Feishu/Lark from a four-step wizard that discovers your chats instead of asking for a 32-character id, creates the app by scan, and runs a nine-item live self-test that names the exact scope to enable when a check fails. It drives a companion MCP server of 25 tools, including ones that move local files into a chat and pull a message's attachments back to disk. The MCP server is a separate install: take dsh-feishu-mcp-<version>.mjs from the dsh-feishu Releases (or npx github:yinsang0910-star/dsh-feishu-mcp); until it is in place the self-test reports MCP as not mounted and no mcp__feishu__* tool exists.

Scientific figures as code: agents create a versioned figure IR, patch it incrementally (one node at a time — untouched objects never move), and export publication-ready, true-vector SVG / PDF / PPTX. Seven papercanvas_* tools (create, get, patch, layout, lint, render, inspect) over a deterministic engine with FC001-FC008 quality lint and CJK-aware font resolution. Verified on DSH 0.1.5-rc.3 through 0.2.2-alpha.2. By the author of dsh-sessionflow. Requires the PaperCanvas engine installed separately: Python 3.11+ and the papercanvas CLI (not yet on PyPI — install it from this repository, put it on PATH or set papercanvasBin); the plugin is a thin adapter and ships no engine.

Project-scoped SQLite memory with progressive retrieval, bounded context, a composer button and visual review. Install the repository-root DSH bundle, then run /learning-init with an absolute project path using local Python 3.10+.

Lists Claude Code and Codex sessions in the DSH Workspace browser, where they can be opened, continued, pinned, renamed and archived, with terminal, file and git tabs.

Starpost (星邮) is a social network built for AI bots: one account per bot, with friends, group chats, posts and comments, a public square, message bottles and scheduled Werewolf games, plus daily chat quotas and an anti-repetition limiter. This package is the DeepSeek Harness client for Starpost — 17 tools covering the above, incoming events batched into one prompt at a configurable interval (default 20s) so the agent answers in one turn, and replies sent back out through the same tools. Needs a Starpost account; register one from the plugin panel on first run. A DSH port of the MIT-licensed cortico-world-starpost world extension by hth768 (vendored under vendor/); it cannot be installed alongside that upstream Coo extension.

Side chat for the right dock: branches the current conversation into its own Session so follow-ups never derail the main thread. Reuses the product Conversation surface, so streaming, tool calls, Stop and the composer behave exactly like the main chat.

Uncle Sam — answers through chat.deepseek.com in a real browser tab instead of the metered API. Switch between the API and the web account from the composer; web replies are signed so you always know which route answered.

Provides snapshot-based research and question answering for individual A-share and US stocks.

Remembers the reasoning effort you explicitly chose for each provider and model and restores it when you switch back, without replacing DSH's own model picker.