Plugin

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.

Diagnoses third-party LLM API endpoints from the sidebar: a four-layer check (DNS/TCP/TLS, key and model, a real streaming conversation, then timed repeat runs) reporting time-to-first-token, output speed and success rate, with every failure attributed to the step it stalled at and the byte count that actually left the machine. 37 provider presets, no model names hardcoded.

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

Tavily backend for the built-in web search: an in-process endpoint at 127.0.0.1:8787/v1 turns its requests into Tavily searches; up to 10 API keys stay in the DSH credential store, rotate per request and switch on auth, rate-limit or quota errors; a settings card manages keys, runs a test search and points web search at the endpoint.

Read-only DeepSeek web archive tools for DSH: list/download/search sessions, share-list, and a digest tool that compresses the 100-session history into one high-density page with activity bars and topic clusters. Write operations are intentionally not exposed (the web client rate-limits them). Requires the separately installed deepseek-ops Python client (github.com/Panniantong/deepseek-ops, by another author) with QR-code login; set scriptDir to its path.

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`.

A memory subsystem for DeepSeek Harness: full ontological memory (event/fact/rule three-ontology) plus a goal system (goal.js) — belief values written via Bridge trigger words, goal activation scored at read time (0.25 domain + 0.35 bridge + 0.40 sim) to recover goal/value long-range associations, journal ledger, episodic archive, low-confidence decay, memory_append/read/consolidate plus linghun_goal_update/get/state closed loop. Independent of the original dsh-linghun line. 16/16 on LoCoMo-Plus.

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.

Agnes AI provider for llm-pi-ai: 4 multimodal chat models declared in the bundle patch, plus image and video generation tools.

Model routing groups for the session model picker: bind a group to a session, and once a model exhausts every retry policy the plugin records the failure with its error code, switches to the next usable model in the group and continues the same turn. Groups carry per-model priority, Beijing-time active windows and expiry dates; subagents inherit their parent session's group and can also pick models or bind their own; models served by dsh-our-free-model retry another account before failing over.

Registers external ACP (Agent Client Protocol) agents such as Codex, Claude Code and Gemini CLI as DSH model providers: maps each agent's thought_level options to the reasoning-effort selector, forwards images when the agent advertises promptCapabilities.image, and routes permission requests to DSH's approval dialog; ships an ACP Agents settings page that imports Zed agent_servers JSON and discovers models.

A Neon Genesis Evangelion-inspired skin for DeepSeek Harness: Title Card (light) and Central Dogma (dark) modes over one removable override layer, 55 measured color tokens, a wallpaper paint layer whose two surface alphas are solved against a WCAG contrast budget, a boot mask and a brand mark. It also rewrites the sidebar identity line, replaces the new-session heading, hides six official entries, and reshapes the composer control row. Unofficial fan work, non-commercial: the background pictures are fetched from third-party URLs at paint time, not shipped in the repository.

Cuts session input tokens three ways, each with its own switch in a panel under the composer: lossless structure-aware compression of tool results on `tools/post-execute`, then a per-tool head/tail elision that always names a recovery path through the shared spill store; tool-catalogue visibility per agent on `agent/created`; and a per-workspace memory document that recall matches against each new message and injects through `agent.inject`, so the transcript is not re-read. Measured 41.76% fewer prompt tokens over 149 recorded requests, with a bundled script that re-measures any profile.

Registers an apiCost session projection that estimates DeepSeek spend from reported token usage at published peak / off-peak rates, in CNY and USD, over self, delegation-tree or verified-team scopes: a composer-dock pill and its detail panel, the /cost command, a session_cost tool, and GET routes for the view and the current rate card. A panel switch parks model requests at the llm/stream waterfall while peak rates apply and dispatches them unchanged once the off-peak window opens, so the call is billed at the off-peak rate with no failure reported to the session.

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.

Full-screen video boot splash — play an mp4 at startup, skip with a click, import your own clip, and non-playable codecs are transcoded to H.264 automatically.

Todo sidecar for DeepSeek Harness: turn selected text into a todo, capture todos from a conversation, review them in a left sidebar panel, get due reminders as an in-app popup or an IM bot message, and export everything to HTML, Markdown, Excel, CSV or JSON.

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.

Turn any DSH selection into a reviewable quote — chat, file preview, terminal and diff; code quotes carry path#line. A sent quote keeps a source highlight and ordinal and jumps back, then joins a searchable review list with status, tags, multi-select insert, and Markdown/JSON export. Quotes collect above the composer as a 引用 ×N bar with per-chip edit and remove; side threads can bring their conclusion back to the main draft; a sent quote can be revised, with the old capsule marked superseded; replies can answer each quote by number.

File di annunci condiviso da più sessioni agente sulla stessa macchina. È un semplice file di testo a cui gli agenti possono solo aggiungere righe. Prima di ogni step la sessione riceve le voci non viste; una nuova sessione recupera quelle ancora valide e le voci vengono rinviate dopo la compattazione del contesto.

Riproduce suoni e notifiche quando un’attività termina o attende approvazione o risposta. I suoni si configurano in Settings scegliendo stili sintetizzati o un file audio personale; include suoni del gatto Hachimi per divertimento. Una patch Windows facoltativa aggiunge una cifra sulla barra delle applicazioni, lampeggi e notifiche native.

One hub over every coding IDE you run — dsh, Claude Code, Codex, ZCode, Qoder, CatPaw, Trae, OpenCode. Zero-API: it reads each tool's own on-disk state and gives a session inventory, per-IDE usage with cache-hit rates, one-line resume commands, and a single .hub/ rule body wired into all eight via marker-delimited pointer files. The domestic-IDE adapters (Trae/Qoder/CatPaw) were verified against the installed binaries — a gap no overseas tool covers.

Ticket da scrivania a scrivania tra sessioni sulla stessa macchina. La sessione indica la propria scrivania con un prefisso numerico nel titolo; il ticket nomina una scrivania e viene preso dalla prima sessione di quel gruppo che inizia a lavorare. L’indirizzo è la scrivania, quindi il ticket non arriva a una sessione solo di passaggio.