Plugins

A collapsible column beside the conversation that organises conversations into a workspace/topic tree, opens the real sessions in place, and exposes the tree to the assistant through 9 model tools.

AI 课程 — 把学习诉求与手头资料变成结构化、可讲授、纯本地的课程

DeepSeek Harness plugin: /favorites exports your own Douyin and Xiaohongshu web collections to Markdown using a logged-in browser session

DSH 插件：设置 → 系统指令 —— 在线编辑 DSH 真正加载的用户全局指令 $DSH_HOME/AGENTS.md（注意：单数 AGENT.md 不会被加载）。保存固定使用插件自身的最高权限写入，不需要切换当前会话的权限模式；带 Markdown 预览、版本冲突保护（409 不覆盖），并提供「立即刷新」发起真实的第一方 read 调用，让改动即时生效。

Codex-style file-based long-term memory for DSH: two-stage LLM extraction, consolidated MEMORY.md handbook, prompt-injected memory summary, and search/read/list/note tools.

DSH 小夹子：把对话里值得留的话夹起来——一键收藏助手回复，随手翻、随手取、随手导出。

Two switches at the right of the Session header. The left one stops writes to your local git repository (git add, git commit); the right one stops uploads to a remote (git push, git remote, gh). Both start on, and switching a guard on never releases the o

设置页导航整理器：给 dsh 设置对话框左侧分区导航加拖拽排序、自定义分组与折叠 | Settings nav arranger for DeepSeek Harness: drag-to-reorder and group your settings sections

DeepSeek Harness (DSH) master plugin — one package hosting MCviseron's DSH components as separate bundle entries: a time-based light/dark Appearance schedule, an Auto-review fix (shutdown preset guard + Chinese approval-reason translation), and a todo pla

Memex for DeepSeek Harness (dsh) — every day it records what dsh did (sessions, prompts, tools, files, commands) as a Markdown diary. · dsh 的起居注：每天自动整理 dsh 当天做了什么，存成日记。

Diagnostic evaluation plugin for DeepSeek Harness: freezes the confirmed Harness configuration, runs a benchmark, keeps the full session trace, and attributes failures to model, Harness, benchmark or environment.

Session-scoped research evidence ledger with sources, linked claims, open questions, and explicit user review; provides a tool, slash command, and conversation panel, with selected-claim Markdown export that omits excerpts, review notes, and local paths by default; does not fetch sources or verify their truth.

Session-scoped delivery receipts for local artifacts: compare current file hashes with a recorded baseline, keep agent claims separate from explicit user acceptance, flag changed or unavailable files, and export a Markdown receipt through a tool, slash command, and conversation panel.

Turns a plugin repository's existing screenshots into a 6-second silent looping hero reel: a VP9 webm that keeps real alpha, a matted gif, and a cover frame, plus a manifest with per-scene holds and sha256s. The timeline is exact by construction (integer holds plus transitions sum to durationMs, and the last scene transitions back into the first so t=0 equals t=duration). Zero runtime dependencies: PNG decode/encode on node:zlib, an SDF card compositor, and ffmpeg as the only external binary, discovered at runtime. Ships a conversation-view panel (pick, reorder, generate, copy the README markdown) and a CLI with a storyboard.json contract.

Local GPT-SoVITS voice for DeepSeek Harness: boots the engine with DSH and kills it on exit, speaks only the line marked for voice, and ships a default voice, so you only need to point runtimeDir at a local GPT-SoVITS install.

Dictation that ends up in the repository instead of the chat log: hold the button (or import a WAV), and the plugin archives voice-memos/<id>/ with audio.wav, a rendered waveform.png, memo.md (frontmatter, per-segment timestamps, ready-to-paste quote blocks) and meta.json. Audio is resampled to 16 kHz mono in the browser before it is sent. Transcription stays local — the harness speechToText service with silence-split windows, or a command worker such as faster-whisper — and when no engine is available the memo is still filed with an explicit status and reason rather than a fabricated transcript. Ships a conversation-view 口述 tab with click-to-seek playback and per-segment quote copy, three agent tools (voice_memo_save / voice_memo_list / voice_memo_read) and HTTP routes. Zero runtime dependencies, 52 node:test cases, real screenshots in docs/.

Fills in the vision capability that DSH's "fetch models" step drops, so image-capable models stop being declared text-only, and marks them in the model name.

Helps keeping tracked updates from plugins added from github with a simple usability UI.

Per-workspace memory library with manual per-chat opt-in, editable rules, three sharing modes, and continuous forgetting; cards stay readable Markdown.

Prefixes every session title with the name of its workspace or project, so a flat session list shows which project each conversation belongs to; titles you renamed yourself are left unchanged.

Adds a Delete action to archived Session rows that permanently removes the Session log directory, the log directories of its subagent Sessions, its Workspace membership and archive mark, its projection-cache record and its spill directory; a Session the Host still holds is staged and finished at the next start or from a cleanup dialog. It also sweeps abandoned blank placeholders, leftover subagent Sessions and orphaned projection-cache records, and keeps blank placeholders out of the @ reference list.

Delivery panel in the DSH sidebar: indexes every image and file sent to the harness (content-addressed attachments plus @-mentioned local paths), rebuilds Taildrop send history per target device from tailscale file cp calls in the session logs, lists incoming files (the Tailscale inbox plus unmarked files in ~/Downloads), and sends new files to a device from the panel with online status and upload progress.

Review DeepSeek Harness responses with inline annotations, document reading, comment threads, and text revisions, then bring a reading summary back to the main conversation.

A 44x44 always-on-top desktop ball for DSH that reflects what the agent is actually doing (thinking, searching, web fetch, error, waiting for input) and shows an exclamation or question-mark badge when a task finishes or needs an answer while you are away. Windows only; it downloads its own Electron runtime on first use.