Plugins

Runs persistent bash and Linux-path file and search tools inside the current WSL distribution. A new conversation that selects WSL mode asks which of that distribution's folders to use as the workspace, and nothing is installed inside the distribution.

A biomedical Research Graph grounded in literature and experiment results. Fork hypotheses, connect evidence, advance research.

Runs a Douyin subagent that browses videos and reads comments in valley hours and reports back, with dy_* tools for publishing and replying (comments sent from the already-logged-in page with its own request signature, no IM ticket), a daily quota timer, and a settings panel under Settings → Douyin: master switch, auto mode, valley windows, rounds per day and report depth. Windows-oriented; needs the separate douyin-mcp binary (yunsur/douyin-mcp releases, path set via dy_config mcpExe) and an Edge/Chromium login; replying needs a logged-in browser on a CDP port; publishing needs extra credentials most accounts lack.

Astronomy research workbench for DSH and Codex: NADC terms, reference library, writing, scoring, author confirmation, recommended books, FITS/XML formats, and analysis guides.

Image generation through eight provider APIs (Labnana, OpenAI, Gemini, Seedream, DashScope, xAI, Zhipu, ComfyUI) with multiple saved profiles, a per-conversation gallery, and credit tracking on Labnana.

Windows desktop control through UI Automation, window screenshots and mouse/keyboard input, with per-session app consent and action approvals.

Reads Bilibili video content as text for DSH agents: metadata, subtitles, ASR, frame OCR, comments and danmaku. Frame OCR needs ffmpeg; the ASR/OCR venvs need Python 3.10+; AI subtitles need a Bilibili login.

Retrieval and planning toolkit for the BeiShan Besson Minecraft modding tutorials site: 7 tools to search 194 indexed tutorials, plan learning routes, compare version environments, and fetch article text.

Manage MCP servers and skills in DeepSeek Harness, and control which tools enter the next prompt.

Manage MCP servers and skills in DeepSeek Harness, and hide tool groups from the next prompt with token-cost estimates.

Git Bash as the default shell on Windows. Resolves bash.exe from git --exec-path (never the WSL stub), exposes a run_shell tool, and degrades visibly instead of disappearing when Git Bash is missing.

Windows desktop observation and control: accessibility tree, screenshots, OCR fallback, mouse and keyboard, with session-scoped approvals and an ESC halt gate. Computer use and desktop automation for DSH, including GUI automation fallbacks.

Downloads a Bilibili video with yt-dlp, samples key frames, and transcribes it — from the site subtitles, or from a local faster-whisper install when there are none. Registers the skill the agent uses to write the summary; activates when a user message contains only a video link. Requires yt-dlp and ffmpeg on PATH; transcription needs faster-whisper.

Local-first memory and persona plugin for DeepSeek Harness: four file-backed memory layers (pinned, memory, facts, experience), editable SOUL/MOOD persona, zero-LLM session capture, BM25 recall and a themed mood card; no standalone web panel, Python service, vector database, or API key.

Context governance for DSH: folds oversized tool results, collapses the tool surface and keeps the prompt cache warm, so long sessions stop getting more expensive.

Session favorites: bookmark any conversation into a browser-style favorites panel — one-click star from session rows, folders for organization, notes, custom display names, resume session, fork into a new session, basic session stats, plus a fork-relationship graph showing how conversations derive from one another.

Eager, tail-heavy, line-aware tool result trimmer plugin: hooks into post-execution pipeline to trim oversized command outputs with smart semantic reducers and ANSI stripping.

Session recycle bin for DeepSeek Harness: deleting a session from its row menu (or in bulk from the sidebar header) moves it into a recycle bin kept for 15 days by default — 7, 15 or 30 in settings — and expired entries are purged automatically. The bin table shows the days left for each entry, restores it to its original workspace, and can delete an entry for good, one at a time or all at once.

Two-level sidebar organizer with workspace groups and nested per-workspace session folders, drag-and-drop, live session status dots, a pending-sessions overview, and manual unread marks.

Model-linked AI personas and desktop pet for DSH, with shared world lore, separate editable memories, task animations, usage statistics, optional AI diaries and idle-time diary consolidation. The native pet window is Windows x64 only; sleep consolidation spends tokens in the background.

Locks the model's reasoning, replies and tool-call descriptions to a chosen target language (Simplified Chinese by default) with system-prompt sections at the head, middle and tail of the prompt, offering three strength levels, an auto mode that follows the DSH interface language, a settings panel that shows the language currently in effect, and a sidebar quick switch.

Adds DSH 0.2.x kernel support to the SenseTime XiaoHuanXiong desktop-app models, reusing that app's stored sign-in so no API key is needed.

Reuses the sign-in already held by the local Doubao desktop app as a DeepSeek Harness model provider, and adds a read-only quota view for the 5-hour and weekly windows. Windows x64 only: the credential is decrypted with DPAPI.

Requires the ZCode CLI installed and signed in. Relays the ZCode CLI agent into DeepSeek Harness as a model provider. A resident app-server session streams each turn, and the model catalogue is read from the CLI at runtime, so context windows, image support and provider routes follow the installed CLI and account. Stable 0.5.1 declares DSH compatibility through engines.dsh; ZCode CLI 3.16.3 is the documented reference version. Tool permission requests are denied by default; unknown approval or permission methods are always denied, and full-auto requires an explicit opt-in. DSH approval UI does not mediate this separately spawned app-server process, and the policy is not an OS sandbox.