Плагины

A project lead for DeepSeek Harness. Opening a session with the dsh-master preset in a folder makes it that project's master: it splits your requests into tasks, dispatches them to member sessions over plugin-delivered messages, collects structured reports and stops at every gate for review. Members ask you only through the master, as clickable cards on a native side-panel board. A tagged devlog is pushed back into context before related files are touched. Guards keep agents off the plugin's state and git index, and a quiet patrol plus a safety-net schedule watch for stalls. One-click pause per project; all state stays local. Requires DSH 0.2.1 (0.2.2 is not supported yet), has only been tested on macOS, and the UI is Chinese-only.

Six-step video-replica workbench: fetches a Douyin/Xiaohongshu/WeChat Channels/Kuaishou/Bilibili share link or a local file, breaks the source into shots with a vision model and optional ASR, writes three A/B/C storyboards, generates a first frame and a clip per shot, then stitches the final video with optional TTS narration, burned-in ASS subtitles and BGM. Needs Node 22.18+/24.11+, ffmpeg and ffprobe on PATH, and configured vision/chat/image/video model endpoints; share links go through a third-party parser service (or yt-dlp), or upload a local file.

Evidence-gated teaching-material workbench with a Web UI: page model, per-page handout and slide editing, PAEG Chinese language checks, layered gates, checks center, version history, handout/deck/storyboard/Manim-script export and rights audit.

Endurance-coaching skill bundle that defaults to Intervals.icu for training data (activities, intervals, streams, training load, HRV, resting heart rate, sleep in-bed hours, eFTP) and uses COROS only for training-plan read/write and for fields Intervals.icu lacks (sleep score, recovery score), with iGPSPORT as a fallback for ride details. It turns that data into readiness gating, VDOT pace and heart-rate zones, periodized weekly plans, session reviews, race-day pacing and fueling, and weather-adjusted workouts. The bundle registers the endurance-coach skill in the profile, ships deterministic helper scripts, reads an athlete profile created by its init script, and requires the agent to state when data is unavailable instead of inventing it. Data comes through separately installed MCP servers — the Intervals.icu MCP server for training data, the dsh-coros plugin for training-plan read/write and sleep/recovery scores, an iGPSPORT MCP server only as a ride-detail fallback — and its bundled scripts need Python 3.10+; with none of them it works only from numbers you type in.

Career knowledge base vault with ten agent skills for setup, capture and import, audit, JD resumes, interview prep and review, plus Feishu interop.

Windows host rules for DSH agents: one skill with nine individually switchable rules (UTF-8/BOM, CRLF-LF per file type, build output, SmartScreen, _scratch isolation, screenshot privacy gate, teardown, shared-doc lock, local trust marks) and six bundled dependency-free scripts.

Bilingual PDF reader for DeepSeek Harness that translates paragraph by paragraph: single-page, selected-text and full-document translation with a prompt that asks the model to keep formulas, citations and DOIs, a glossary that forces chosen terms, bilingual / translation-only / source-only views, per-paragraph notes with page highlights, document Q&A, and Markdown / printable HTML export.

An annotated browser tab: pages render in headless Chromium on the host and are served same-origin, so you can click an element or drag a region, write what should change, and send the notes into the conversation with selectors, visible text and rectangles. Requires a Chromium-based browser on the host (auto-detected, or set CHROME_PATH / browserExecutable). By default it provides the `browser` tab type itself; set `takeover: false` to keep the stock browser and use a hand-off button instead. Picking continues until you press Esc.

Right-sidebar browser for DSH Web: renders public sites over CDP, local/dev pages through a same-origin proxy, emulates desktop and phone viewports, and turns element picks into chat annotations. Fork of zengxiaolou/dsh-annotate-browser (MIT), install one or the other — both add their own right-sidebar browser tab and drive a separate Chromium. Requires DSH 0.2.1-rc.2 to 0.2.x, Node.js 22.19+ and a Chromium-based browser on the host (auto-detected, or set chromePath).

Chat-first draw.io plugin: the agent creates, reads and edits native .drawio files, an interactive draw.io viewer renders them in the transcript, and the diagrams live under the workspace's diagrams/ directory. No draw.io account, no npx MCP server, no local editor install.

Bridges the official COROS MCP server into DeepSeek Harness with a self-contained local stdio-to-HTTP bridge and on-device OAuth login, exposing 34 COROS tools on the current endpoint for sleep, HRV, resting heart rate, recovery, training load, activities and FIT files, plus workout and training-plan CRUD and scheduling.

Big Fat Fish clean — unofficial graphical panel for the local Mole CLI on macOS: live system health, cleanup previews with explicit confirmation, disk analysis, app inventory, maintenance, cleanup history, and a guided Mole CLI install.

Adds a Tavily search provider to the DSH web search seam, keyless by default so it works without an account or API key.

Wires the local cc-computer-use MCP server into DSH with one process per root session, giving each session its own Xephyr sandbox screen and private AT-SPI bus (requires the cc-computer-use MCP server).

File dedupe and unify toolkit, shown as "小视频整理" in the DSH sidebar: exact matches by head/middle/tail sampling or full byte compare, near-duplicate MP4s grouped by duration and a configurable first-N-seconds frame window (default 10s, 1–5 fps, default 2; longer videos are compared on their first N seconds too), batch rename or move by extension, UUID, file size or video length, empty-folder cleanup under the selected sources, and MOV/AVI/WMV detected by file header and transcoded to MP4 keeping resolution, frame rate and audio parameters. Requires ffmpeg and ffprobe on PATH. Concurrent workers per task with a shared setting; one task at a time; per-group help dialogs; local-only API. Every task that moves files has one-click restore: per-group/target _dupfc_restore.json records, deleted files skipped and counted, files outside the record renamed to UUID and moved into resetFail; orphaned ffmpeg processes left by a crashed host are swept on plugin load.

Stars the GitHub repositories behind installed DSH plugins from a tab beside Installed on the Plugins page and a control on each plugin detail page; resolves a token from the environment, a saved credential record or the gh CLI, and asks once before the first star because starring is public.

MCP and skill manager as a full sidebar page: add, edit, enable, disable and delete MCP servers, expand a server to its tools and open one for its parameter list, translate skill and tool summaries with a model you pick, and count tool and skill invocations. Also registers an mcp_service tool so the agent can install MCP servers in conversation after an approval prompt.

Private relationship notebook: scores each day of chat from message-level evidence and tracks how the relationship develops over time. Chats, profiles and drafts stay in your browser's local IndexedDB and the plugin runs no server of its own, but using model replies, profiling or automatic analysis sends the relevant chat context to the model service configured in DSH.

"Oh, you're finally here. I've been waiting for you." A plugin that brings Elysia into DeepSeek Harness. Once installed, she remembers you: what you said last time, what you care about, so every new conversation picks up where it left off. Memory lives on your own disk, mirrored across two drives, shared by every session and editable by hand. She speaks the way she actually speaks, measured from 1,696 officially confirmed voice lines rather than a hand-written character sheet. One-click voice setup: the plugin downloads the 200 MB voice weights, places them correctly and fills in the paths for you (the 27 GB engine itself must be installed separately, and needs an NVIDIA GPU). She also drops a WeChat-style bubble with her avatar after finishing a task so you can tap to listen, sends stickers when the mood fits, and learns the runbooks you give her. Memory pack, voice, and stickers are all off by default.

Ship OpenTelemetry GenAI observability and multi-device cloud state sync from one DSH bundle. It reuses and replaces the standalone @loongsuite/dsh-plugin (traces + metrics for sessions, agent loop, LLM and tool lifecycle; do not install both — disable or remove the upstream plugin first), and adds a WebSocket client that pushes full session event logs (header + snapshotEvents) to a relay you run so different local DSH instances share state. On connect it pulls and rebuilds the other devices' sessions automatically (cross-device resume). The sync client itself has zero third-party runtime dependencies; a small Node.js relay is included in the repo. The local /cloud-sync/* HTTP routes (status, sessions, config, resync, delete) have no origin or loopback check, and the bundled relay accepts unauthenticated connections unless AUTH_TOKEN is set — keep the DSH web port off untrusted networks and run the relay with a token.

Adds a /clear command that clears one conversation's model-visible context while keeping the session itself.

Splits a session into turns and incrementally clusters them into named topics and stages, with per-topic token / tool / time stats, a workflow view, a turn timeline, a relation graph and per-turn AI analysis.

DSH plugin: bring your ChatGPT subscription into DeepSeek Harness — Codex models, GPT Image, quota and recovery checks, plus a per-plugin scoped HTTP(S) proxy. Community alpha fork of dsh-codex-connect, published on the alpha dist-tag; it registers the same openai-codex provider, so it cannot be installed alongside the upstream plugin; the image, quota and proxy features are opt-in and off by default.

Adds the Miaoshou (Meituan CatPaw) desktop client as a DeepSeek Harness model provider. The 12 models mirror the ones the Miaoshou app picker shows, each carrying its credit-cost multiplier; thinking levels are translated into the upstream modelParams; a read-only panel reports available credits and the current plan. Sign-in is a QR link, so the desktop client does not have to be running.