Plugins

Turn DSH's phone side into one thumb-reachable column: the host renders pages for narrow screens, zero build, no front-end framework, no desktop pixels streamed. The order is responsiveness > honest state > familiarity > brand > looks. A WeChat push opens the workspace with the conversation on top; sends appear optimistically, streaming never steals your scroll, approvals and queued prompts happen on the phone, plus new sessions, model switching, image and file uploads, and sub-agent rows. The DS Bot team is a tap away with member DMs, group chat and tool-approval cards. Pair over LAN by QR, or go out through a Cloudflare quick tunnel; after a restart the next push carries the new address. A shell byte budget is asserted in tests.

Speaks a cue for DeepSeek Harness on Windows: a configurable phrase when an agent turn completes normally, a second phrase when the agent needs you to choose — a question, a plan approval, or a permission request — and a time-of-day greeting when a new conversation starts. A small bubble in the lower-left corner mutes and unmutes every cue with one click, with its own toggle chime. Phrases are synthesized with a Microsoft Edge neural voice (skipping aborted and errored turns, subagent turns, and rounds that a goal is still driving), cached under the DSH home directory and replayed locally, with the desktop SAPI voice as the offline fallback.

Daily AI digest by email: fetches ten sources (OpenAI, Anthropic, Google DeepMind, Hugging Face, arXiv, Hacker News and others), clusters near-duplicate stories, scores them in code and with an LLM, then emails the top three on a daily schedule with a four-part reading (facts, why it matters, impact, open questions). Adds four conversation tools and a sidebar panel for previewing the digest, sending it now and changing the schedule.

Focus-aware notifications for DeepSeek Harness: approvals, questions, plan reviews and finished replies appear as one alert only when the conversation window loses focus; background conversations alert at any time and subagent sessions never do.

In-conversation workflow run timeline for DSH Web: a horizontal rail with phase stations, agent pills, loop arcs and parallel bands replaces the stock workflow tool card and workflow-run chat node. Planned stations render before the run starts via client-side script scanning; status dots and icons follow DSH official primitives.

Project Development Mode preset plus an in-chat development board for DeepSeek Harness: the lead conversation clarifies requirements and delegates to an Agent Team, and the floating board tracks each user change request through dispatch, execution, testing and acceptance with 7 board tools.

Windows-only: adds a switch to Settings → General that powers the computer off when the finished conversation ends (default delay 60 s, configurable 5–86400 s), behind a native countdown dialog that cancels the pending shutdown in one click (shutdown /a).

Tag-based skill filtering: attach tags to DSH skills, then hand each workspace or conversation only the subset its boolean tag expression selects (for example `pdf + docx` or `aegis * plugin`). Excluded skills are deny-shadowed out of the model catalog rather than merely hidden in the settings UI; skills outside the expression can still be added by hand or force-disabled, and the bundled `tagging-skills` teaches the agent to derive a tag set from the machine it is running on.

Saves opt-in conversations as structured Markdown study notes with topic folders and a maintained index.

Meeting notes for dsh: one meeting per conversation, transcribed and speaker-separated on the machine itself, with points, assignments, handwritten notes, reviews and monthly scores in the same panel. Exports SRT/Markdown/Word and packs a meeting into a portable zip another dsh can import; confirmed assignments go to DingTalk/WeCom in one click, following your robot settings. Recognition models are swappable (a stronger local model can be imported from a file), and cloud recognition is off by default with no request made before consent. Word export needs Python and python-docx; the first run downloads a recognition model (28 or 77 MB).

Author custom tools in Python from a web page, in chat, or from the dsh-go app's native panels, and register them as DSH tools without a restart; dangerous tools need built-in approval on every run, tools can be grouped into packs, and an optional unlock mode exposes them per conversation. Needs Python 3 on PATH.

In-conversation keyword search for the current session: pages the history back to its first window before matching, then highlights every hit and scrolls to the one you pick.

A DSH conversation workspace: turn actions, provenance quotes, local notes and summaries, in-conversation find, focus lock, and per-workspace command buttons.

Turn rail on the left edge of the conversation: one tick per user message, hover to preview, click to jump (auto-loads earlier pages when the turn is unloaded), plus an active-turn highlight and a scroll-position indicator.

Permanently delete one conversation (archived or not) from its sidebar row menu, including its log, projection cache, archive state, and reminders.

Select a statement in an AI answer, find candidate support in earlier chat and tool records, classify support, and jump to original passages for review.

Deletes a whole conversation from the sidebar session menu, and opens a right-click menu on a chat text selection with Copy, Quote (insert a Markdown quote block into the composer) and Ask: Ask sends the selection plus your question to one reused continuable subagent (label `ask`, found again through the subagent catalog after a restart) and streams the answer into the right sidebar.

Opens any session as a second full chat tab in the right sidebar, with its own transcript and composer, while the main conversation stays put; a split right pane allows up to three concurrent conversations.

Adds an Insight tab next to the conversation and trajectory tabs in DSH: calls a model to interpret tool calls turn by turn, and supports a custom prompt.

Collects the sessions that need you into one dock at the bottom of the web GUI sidebar: running sessions, sessions waiting on an approval, plan review or answer, and finished runs whose result has not been opened yet. Rows are sorted by last update and clicking one switches the main view to that session; it reuses the shipped useSessions and useSessionStatus hooks rather than adding a data source, polls nothing, stores nothing and modifies no session. The header dot pulses while anything is running or waiting and settles to a static dot when every row is only a finished-but-unread reminder; with no such sessions the dock collapses to one quiet line, and a collapsed 56px sidebar shows a 36px badge with the count instead of the list. It registers in the sidebar footer slot, so it is part of the layout and does not overlay the conversation list, leaving the existing footer entries below it.

Adds an "edit question" action to every user message: editing re-sends the prompt from that turn, re-attaches the original images (extra ones can be pasted in), and optionally archives the original session.

Use your ChatGPT account to bring Codex models into DSH: choose models and thinking effort, chat with images, use tools and skills, approve local tasks, answer interactive questions, continue and compact long conversations, check quota and Token history, and maintain a supported Windows screenshot helper.

Live DeepSeek API balance and this session's token usage in the conversation header, with a detail panel for the topped-up / granted balance split, request count, input, output and cache-hit tokens, and context pressure. The API key is read on every query and is never cached, written to disk or returned to the browser.

DeepSeek account balance above the sidebar account area, the running cost of the open conversation, the cost of each turn beside its token count, and a one-click AI breakdown for any turn above a token threshold.