Plugins

A better fold bar: automatically folds tool calls and Think segments into step fold bars, and collapses each finished turn into a single turn header with live metrics (duration, TTFT, token, tok/s, cache hit) — only the final summary stays visible; customizable leading icons with animated poker cards built in (suit-cycling card animation while running, a deck when collapsed, a fan when expanded), a settings row for the official fold mode, compatible with both new and old DSH versions. Zero intrusion into DSH source.

把dsh会话界面切换成galgame游戏界面的插件

Bilibili video analysis: metadata, transcript (ASR fallback via Bijian/sherpa-onnx/whisper.cpp), comments, danmaku, and sharp keyframes with optional local vision descriptions.

Turns an organised memory archive into a browsable star map — one star per memory, the diary as an outer timeline, plus a chapter view, a day view, and a picking task that files each day's raw conversation into the archive.

Manage DSH conversations: one cross-workspace table with batch archiving, body search over message text, and recycle-bin deletion you can undo.

QQ channel for dsh via OneBot 11 (NapCat and friends): reverse or forward WebSocket, DM and group chats, image and voice transcription, t2i text-image cards, merged forwards, and a settings page.

Extends the working range of DSH into WSL. Files in the distribution can be read, written, edited and searched by DSH directly. Depending on the task, the AI chooses for itself: run a one-off command, or open its own terminal and run several commands there to finish the job. Typing `dsh` in a WSL terminal calls DSH (type `dsh help` there for details), fusing WSL and DSH deeply. Every terminal you open can collaborate visually with the AI.

Merge every locally signed-in WorkBuddy account into DeepSeek Harness as one auto-failing-over model pool (multi-account rotation, live credits, and a model catalog showing per-model credit multipliers and free/night-discount tags).

Client-side re-render of edit/write tool cards with a near-linear line-level diff that drops duplicate unchanged lines and underlines the actual changed characters inside replaced lines.

Computer use through an external USB HID device: name a target in plain language, a vision model locates it in a cropped window screenshot, and a Raspberry Pi Pico 2 moves the real mouse and types on the real keyboard. 7 tools. Windows has window listing, per-window cropping and automatic window raising; macOS needs pyobjc and has neither; Linux is unsupported.

Authentication gateway for the DeepSeek Harness Web UI: the login gate covers pages, /api, /plugins and WebSocket upgrades; PBKDF2 password hashing with per-user salts, HttpOnly SameSite session cookies named per DSH_HOME and IP-based login lockout; invite-code registration; two-factor login with TOTP or passkeys (WebAuthn: several keys per account, phone enrolment by QR, username-less sign-in, and a step-up before any login factor is added or removed); a user-management settings panel (users edit their own profile and manage their own TOTP and passkeys, admins add or remove users, reset passwords, manage invites and clear the passkeys of a lost device); per-user model and API-key configuration whose private entries are encrypted with a key derived from the login password and stay unreadable by any admin, with admin sharing to selected users (usable, balance visible, key never shown, revocation immediate) and unconfigured users blocked rather than falling back to the deployment configuration; per-user isolation on the REST and list APIs and per-frame ownership filtering on the WebSocket mux; session persistence across restarts; a JSONL audit log; and a fail-closed gateway. Requires the DSH 0.2.0 line (the 0.1.1-rc.2 transport line was removed in 0.7.0); passkey login needs a localhost or HTTPS origin because browsers require a secure context.

Tavily search, extract, map and crawl tools with multi-key rotation, failover on HTTP 401/429/432/433, and a load-balance mode that caps in-flight requests per Tavily account, plus a key and usage card on the Plugins page. The built-in web_search is never replaced.

Android real-device debugging workbench for the DSH Web GUI: auto-attached logcat with severity/keyword filters and crash snapshots, live on-device screen casting with remote tap/swipe/text control, memory/proc/frida reverse-engineering toolset, 30 agent tools.

An AI-native browser workspace for DeepSeek Harness (DSH), combining multi-tab browsing, live page annotations, lightweight code editing, workspace previews, and Agent-assisted iteration across Web and Desktop.

Give text-only DeepSeek Harness agents video understanding: scene-aware frame sampling + VLM + optional ASR transcript fused into timeline evidence. / 给纯文本模型的视频理解插件（场景感知抽帧 + VLM + 可选语音转录）

Multi-dimensional quality scoring for DeepSeek Harness plugins that scores a repo or npm package across install success, maintenance activity, documentation completeness, security scan, and protocol compliance using real CLI evidence, and produces a JSON or Markdown leaderboard report.

Template-driven code review skill: five-step review flow, critical/medium/minor severity grading, four-dimension scoring (quality, security, performance, maintainability), dual text and HTML report output, and an on-demand reference knowledge base.

MCP bridge to gemini.google.com: vision analysis of images and videos, Imagen image and Veo video generation, and conversation management using the logged-in browser session with no API key.

MiniMax multimodal bridge: one `mmx_bridge` tool covers image understanding/generation, video, TTS, music, cover, web search and quota; optional `web_search`/`read_image` takeover; inline players/image previews right in the Web GUI (npm: `dsh-mmx-bridge`).

A simple DSH queue panel for editing, removing, steering, reordering, and bulk removal.

Settings page for per-model capabilities: reasoning-effort levels with their wire spellings, input modalities, and token capacities, written as declarations or sparse catalog overrides.

Adds a configurable vision model to text-only main models: a vision_read_image tool, a composer-bar vision-model selector, and automatic image-to-text conversion for text-only routes.