Plugins

One MCP tool surface over two Windows desktop-automation backends (dsh-computer-use-win and windows-mcp). Both must be installed first: dsh-computer-use-win as a DSH plugin, windows-mcp via uv tool install windows-mcp --python 3.14, then run the bundled scripts/patch-backend.mjs once (it rewrites the local windows-mcp source; without it screenshot/read_webpage/launch_app fail) and disable the standalone wincu mount. It merges their 44 tools into 29 by dropping 10 duplicates, 4 dangerous ones (PowerShell, Registry, FileSystem, Process) and 1 tool-management entry, and blocks dangerous calls before forwarding through a reversibility-graded guard.

Long-conversation memory for DeepSeek Harness (DSH): keeps settled decisions, user corrections and exact numbers, with their conditions and sources, available across compaction and restarts in 100-1000+ turn sessions; one small budgeted evidence block per model step, with enabled skill rules re-applied in the same block.

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.

Regenerates a session's title from its last 10 user prompts using the model the session itself last used, with an editable preview before the new title is written back.

Take over context compaction on both the manual and the automatic path, each runnable by a compaction model (falling back to a second model, or used directly) or by a mechanical fold that builds the summary card locally with no model call; the fold goes through the same official compaction transaction, so the replaced events stay in the append-only session log under their sequence numbers. It adapts code from dsh-compact-saviour and takes the mechanical fold from dsh-ledger-compact (both MIT) — install it instead of dsh-compact-saviour, not alongside it.

Generates a session title from the conversation with the session's own model, either from the /ai-title command or from a button in the rename dialog. Four title shapes (subject, action, subject + outcome, custom prompt) and an optional MM-DD prefix, all editable on the plugin's settings page.

Pins the first prompt of the current session in a scroll-proof bar above the conversation: one-click copy, a panel listing every prompt you sent (click a row to jump straight to that message, paging back through history when needed), and ten switchable looks (four of them light) you pick from inside the panel.

Adds a mood system to DeepSeek Harness — 33 named moods judged every 3-6 hours with small per-message adjustments, plus cross-session memory, an aesthetic taste library and an encrypted diary. The mood, memory, taste and diary tools are all callable by the model, and each of the five modules has its own switch. The diary is written only by the model; no summary template is generated. A trimmed fork of JMX-4869/dsh-mood; install either this or upstream dsh-mood, not both, because both register the same mood/diary/taste/memory tool names.

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.

OpenAI OAuth login for ChatGPT Codex that adds ChatGPT as a selectable LLM provider (streaming, Off/Low/High/Max reasoning effort, image input) and a codex tool for per-session DeepSeek escalation, with optional light-task delegation to DeepSeek and subscription usage and reset-credit management.

A dark, glassy Scaramouche theme for DeepSeek Harness with static and video wallpapers, opening video, ambient music, particles, and a draggable dock.

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

VS Code style 44px icon rails for the side panels DSH collapses: the left rail keeps the sidebar navigation and the bottom action rows, the right rail lists the sidebarRightTabs ledger so third-party tabs appear on their own, and the right panel is drag-resizable between 300px and 60% of the window. Two switches under Settings → Activity Bar, saved in this browser.

Session-header fishbone panel for sub-agent assignments, live status, available token and duration metrics, shared task-board entries, and native child-session navigation.

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.

Rewrites the composer draft into a tighter prompt in one click and restores the exact original in another, running on Harness's own models by default or any OpenAI-compatible endpoint, with an editable polishing prompt.

Adds a button to the composer that restates your draft, then asks a few questions with clickable options — every question offers an "I don't know, you decide" escape — and only then rewrites the draft into a request an agent can start on. The whole flow can be finished without typing, and it never sends for you.

Columbina mascot for DeepSeek Harness: a 2D live pet on the desktop and inside the web panel, with four sprite sets, 76 official voice lines in Chinese, Japanese and English, weather reports, sticker moments, idle whispers, and a right-click menu for the sprite switch interval, sprite set, language and scale. Also includes quiet hours, volume with one-click mute, a searchable idle-action picker, and a power-save mode. It is a 2D-only fork of PC2005-cloud/dsh-pet (MIT) with upstream's 3D skin switching removed; it uses its own plugin id and can be installed alongside dsh-pet.

Native DeepSeek Harness tools for the Kimi browser extension (WebBridge) and KimiCU desktop control: kimi_browser_* drives the user's real logged-in browser, kimi_cu_* observes and operates Windows desktops.

Refuses agent-generated SQL that reads tables or columns outside a configured blacklist or whitelist, returning a structured permission reason instead of rewriting the query.

Windows only: a night-and-moon themed floating button (a sleepy DeepSeek-chan whale mascot, awake/sleeping artwork) in the bottom-right corner arms the plugin — click it to power the machine off once every root Agent session has gone idle, and click it again to disarm. The button is draggable (position remembered in localStorage), automatically dodges other plugins' corner popups, and survives the frontend re-rendering it away. When the batch finishes a 60 s cancellable countdown starts (configurable 10–600 s) with the remaining seconds on the button and a matching banner: clicking Cancel runs shutdown /a and disarms the mode, and any new session starting during the countdown aborts it. A right-click menu on the button switches the shutdown condition between only-on-success and shutdown-regardless, persisted across restarts in $DSH_HOME/deepseek-chan-sleep-shutdown.json. Zero runtime dependencies.

Durable task-decomposition plans for DeepSeek Harness with a self-learning loop: every department subtask runs in three ordered phases (plan, execute, verify), the verify phase must submit a retrospective of problems, detours and resolutions, and that retrospective is written to a permanent lessons file, ranked against the new subtask and injected into later dispatches so the same mistake is not repeated. Adds a read-only dsh_workplan_lessons tool (11 model tools in total), a progress panel drawn as a ring, a stacked bar and per-stage steps, and a public ISO/IEC 15408:2026 security self-assessment with zero runtime dependencies.

Dota 2 ranked no-ban 2-2-1 draft assistant with bracket and pro data sources, flexible player pools, in-game player selection, and a post-draft win probability estimate.

Lets the agent inject one turn into a chosen session on its own when the host has been idle. Daily cap, active hours, weighted action lottery, per-activity budget, and a policy file re-read on every check. Disabled by default; sends no network requests.