プラグイン

Bundles 19 short-video production skills (1 entry point, 1 orchestration, 17 atomic) into the agent skill catalog: Chinese TTS pronunciation fixes, text-to-image and text-to-video, image panning, composition, covers, media verification, data review and four-platform publishing. Ships skills and scripts only, so a runnable pipeline still needs ffmpeg, Python 3 + Pillow, Node.js and playwright installed locally, your own Bilibili biliup credential and WeChat Channels / Douyin / Xiaohongshu login states, and the placeholder values under skills/*/scripts/ filled in with your own. An installer's own skill of the same name keeps precedence.

Let the DSH assistant send local, web, and AI-generated images directly to users in chat, with external vision support for text-only models. On Windows it runs through PowerShell.

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.

Continues work across coding agents inside DeepSeek Harness: six sessionflow_* tools query a local session index built by sessionFlow to find past work, show where the current project left off, and hand the goal, files and open items to the next agent. Requires the separate sessionFlow core, installed from its GitHub repo. Everything stays local — no cloud, no telemetry.

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.

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.

Community-maintained WorkBuddy and WorkBuddy AI model provider using local desktop sign-in, with model discovery and credit display. Declares DSH 0.2.1-rc.2 and rc.3 compatibility, with a CN compatibility layer that differs from the functy23 fork.

Tianlight skin for DeepSeek Harness: 4K video/image wallpapers, local upload and auto-rotation, optional WebWallGL scenes, liquid glass, and a Mint cat companion. Alt+W opens the wallpaper panel.

Claude Design System theme for DeepSeek Harness: warm-grey surfaces and a clay accent, refined composer, sidebar, code blocks and Markdown, localized edit/write cards with workspace-relative paths, and an ASCII ocean on the blank-session page with three whale colour modes.

SSH workspaces for Windows DeepSeek Harness Desktop 0.2: discover OpenSSH hosts, add or browse remote project directories, and route file, search and Bash operations by workspace while the DSH runtime stays local. A Desktop compatibility fork of Yan-Zero/dsh-remote-ssh that preserves local permission defaults.

Read and search local PDFs with page citations, render pages as images, and use optional Tesseract OCR for scanned or mixed pages; requires Poppler.

Read-only audit of the local CLI toolchain as a sidebar panel in the DSH web GUI: lists installed versions across Homebrew, npm global, pip, Rust/Bun/uv and self-updating CLIs, flags which ones have a newer release available, and shows the dependency impact for installed packages. It reports only and never runs an upgrade, so no tool on the machine is modified. The DSH plugin ships on npm as `dsh-cli-doctor`.

Long-term memory scoped to the DSH workspace. A session opens with a one-line-per-memory index - bodies are fetched on demand by the `memory` tool, so the same character budget holds about three times as many entries - and when a turn ends a purely local search over the last user message pulls the matching memories into the next briefing at no model cost. Optional auto-capture distils a stretch of conversation into structured memories; in draft mode they wait in an approval queue instead of landing directly. A portrait layer keeps a workspace and a global picture, rewritten from the journal and the records, with the same draft-or-direct choice. Settings → Memory holds the archive, list and timeline views, a health check (duplicate clusters, stale entries, broken links), the supersede version chain with rollback, and a read-only scan that imports existing WorkBuddy / Qoder memory files.

Runs a local OpenAI-compatible gateway so DSH can use the model quota of a logged-in Tencent CodeBuddy (WorkBuddy) account: one-shot installer with SHA256 verification, logon scheduled task with duplicate-launch guard, manage.ps1 for status/start/stop/restart/logs/update/uninstall, and an agent skill that drives setup and troubleshooting.

One-tap connect ModelScope language and image-generation models into DSH (off by default), with image recognition and context window filled in automatically. You can also see the free Magicube balance, jump to a model's info page, and record local call counts, trends and rate-limit events, with a usage pill beside the input box showing the balance and today's local count. All of it needs only an API key, with no account sign-in.

Plays local video and audio inside the conversation. Media files the model writes during a turn - screen recordings, transcodes, voiceovers - get a player under its final reply automatically when their paths appear in its commands, the command output or the reply; the play_video tool plays any other file. Video shows as compact cards with a hover preview, audio as a slim seek bar, streamed over HTTP Range so long files seek instead of loading into memory. Also registers a sidebar media preview renderer, since the built-in previewer treats mp4 as unviewable. The look_video tool lets the model see a video itself: a hidden local Chrome or Edge grabs frames into a time-labelled contact sheet (or big frames at given times, or a short range frame by frame), checks the audio (silence, too quiet, clipping, one channel only) and the picture (black or frozen frames), and reads MP4 / MOV headers for phone compatibility (codec, HDR, faststart and more), with ffmpeg fixes.

Local TXT novel reader in the DSH right sidebar: bookshelf with file, directory and path import, chapter table of contents with jump, click-to-turn or vertical-scroll paging, reading progress restored across restarts, and font, line-spacing, background and night themes.

Local music player: scans a folder for audio and video files, plays them in a Music tab with crossfade, a 10-band EQ and ReplayGain, and can write matched tags, covers and filenames back to the files with atomic replacement.

Everything (voidtools) file-name search: everything_find queries the local Everything index to locate files and folders on any indexed drive in milliseconds, and adds a configuration card to the Plugins page.

すべてのワークスペースの最近のセッションを 1 つのパネルに一覧表示します。時間でのグループ化、2 種類の並べ替え、本文検索、ファイルマネージャーでの表示、下書きへの挿入を提案するローカルメモに対応します。

A Herta theme for DeepSeek Harness: an ASCII boot opening ported from the upstream Herta project, a violet palette of design tokens, swappable wallpapers (four bundled, plus image URL, local import, solid colour or off) and a "Herta Appearance" page in DSH settings. Doubles as the theme that dsh-herta ships with.

Project-level memory built around a ledger whose structure the AI designs per project; the plugin only handles detection, injection, write-back, archiving and git. Memories are split by meaning: the active ledger holds current state, the turn journal is append-only, and decisions, the goal tree and lessons are one-card-per-file (with a multi-dimension index over the card folders); the fundamental principles file can be changed only by the user. There is a single compaction mode: before compacting, the AI sorts the work into three buckets - what must stay in context and is re-injected verbatim, what is written to the project's _stash/ for later lookup, and what is dropped. When a conversation is opened in a container workspace holding several projects, it can be locked to one sub-project (the lock lives in the plugin's own home and survives restarts; it leaves no marker in your project). Also an activity log with five levels, where L4 stores the user's own words verbatim (never injected, queryable on demand). Before each compaction a verbatim capsule (user quotes, raw errors, changed files) is written to disk, and both the capsule and its source material survive a restart; a handoff document lets a new conversation resume the previous one. 21 tools, 12 subcommands, 39 settings (one of them switches whether the settings panel or each project's manifest wins). Runs locally, no runtime dependencies.

One authenticated OpenAI-compatible endpoint (built on CLIProxyAPI) for dsh and other tools: gathers WorkBuddy, OpenCode Zen, local Ollama / LM Studio and CLI subscriptions such as Codex and Kimi, signs in from the dsh page without installing their CLIs, and syncs the picked models into dsh grouped by source. The settings page has a switch per source with free / paid tags, plan usage, API keys with 24-hour stats, per-source model picking, and update / uninstall. Runs on macOS, Linux (including next to dsh-vps) and Windows.