Plugins

DSH bundle of the 27 promoted skills from mattpocock/skills v1.3.2 (TDD, code review, grilling, spec and ticket flows, domain modelling), bodies byte-identical to upstream and upstream invocation policies preserved; ships a sync script and an offline contract check.

Group skills into named sets, toggle any combination, drag to reorder, and preview each group catalog token cost.

Whole-PDF paper translation for DSH on top of a BabelDOC installation you provide (Python CLI, with an OpenAI-compatible API key in its config.toml): bilingual dual-page output, a token cost estimate before running, a per-domain glossary reused across papers, and the server-side thinking overhead disabled for translation.

An AI reading buddy: it sits next to you while you read, and only knows the pages you have already reached — so it cannot spoil the rest, and it never summarizes the whole book for you. Highlight a sentence and ask about it, or just ask about what you finished; it usually restates what you seem to mean and asks one concrete question back. What you work out can be saved as a takeaway and later becomes a review card that jumps back to the sentence. EPUB, MOBI, FB2, TXT, Markdown, HTML, CBZ.

AI-native text editor for DeepSeek Harness: tabs, encoding-safe saves, selection/document AI with diff review, Markdown preview, and Windows file associations.

Renders a conversation's context as a layered architecture map of goals, decisions, actions, artifacts, risks and open questions, exported as SVG, interactive HTML and Mermaid Markdown.

Resolve a shared URL into title, author, body text, cover and direct video links: Bilibili, Douyin, Xiaoheihe and GitHub are parsed structurally, while WeChat, Zhihu and other pages fall back to an OpenGraph summary (title, description, cover). Includes an optional download step for sending the media back through chat.

Drive the NI Multisim 14.3 install on a Windows machine through nine msim_* tools: open and save .ms14 designs, read and edit component values and circuit parameters, run DC operating point, AC sweep, single-frequency AC and transient analyses, export schematics, BOM and netlists. A Win32 channel drives the visible window to run the Analyses dialog and capture Multisim's own schematic view and waveform plot; a SPICE command-file engine handles designs that expose no probes; an offline reader unpacks the .ms14 container without starting Multisim at all. Requires Windows, NI Multisim 14.3, and a 32-bit Python 3.11-3.13 with pywin32.

Publishes and reads QQ Zone posts through SnowLuma's OneBot qzone_* actions (SnowLuma 2.2+ signed in to QQ), and lets the agent understand images with a local vision model (OpenAI-compatible gateway) or Windows OCR.

Turn a script into a narrated explainer video: text-card slides by default (fast and exact for tutorials) or AI-generated footage per segment (needs AGNES_API_KEY); 14 online neural Chinese voices plus 3 offline Windows voices, with a one-command sample pack for picking a voice by ear. Requires ffmpeg, and the bundled video-remix skill copied to <workspace>/.dsh/skills/video-remix with npm install run there for the online voices.

Read-only knowledge gateway over a local Markdown vault, in four tools: `wiki_recall` returns the matching section in full with page-level citations plus vault health checks and a page skeleton for writing a good answer back; `wiki_context` returns one evidence pack with per-page excerpts, a support verdict and an explicit list of gaps; `wiki_verify` re-checks a drafted answer against that pack and reports claims the evidence cannot back, including unsupported numbers; `wiki_observe` reports how often answers needed correcting. The settings page and sidebar panel share the same query path as the model, so a search you run by hand cannot disagree with what the model was given. The three knowledge-gateway tools (`wiki_context`, `wiki_verify`, `wiki_observe`) need a local Python 3 bridge — `bridge.python` plus `bridge.toolsRoot` containing `wiki_bridge.py`; without it they return `E_PYTHON_UNAVAILABLE`.

Self-narrative memory in five budgeted segments (800 chars, not a full context): a first-person note the model writes to itself, a profile of you aggregated from approved facts, environment facts kept separate from who you are, heat-ranked conclusions, and habits. Every injected fact is traceable to a fact id and can be retired; the profile can be edited by hand, and self-notes stay plain lines you can clear. Facts fade by use and time without ever changing their credibility. Preference-like lines you say are auto-detected as candidates (never auto-approved), with conflicts kept side by side. Recall over past conversations with citations, an incremental index that only decodes newly appended frames, a pointer-required warm layer, a doctor that says which part is broken, a heartbeat proving injection is alive, and export/import so the whole thing moves to another machine.

Unified long-term memory hub: captures turns into L0 evidence, distills in the background into L1 facts / L2 scenes / L3 profile (depth configurable), recalls via hybrid BM25+fuzzy search, ships 13 memory_* tools, traceable lineage back to source turns, optional Hindsight backend, and a built-in memory panel with three entry points.

Long-term memory for dsh with defense-in-depth hardening. Two tiers (project `.dsh-memory/` and user `$DSH_HOME/memory/`), each a plain hand-editable JSON file with bounded entries and tags. Writes are atomic (unique temp file + rename, previous revision kept in a bounded history/) and serialized across processes by a per-tier lock with stale reclaim; a disk-revision check refuses lost updates instead of silently overwriting another writer. Memory text is wrapped in explicit untrusted-data boundaries (forged wrappers stripped on write) to blunt prompt injection from remembered content, load-time validation rejects out-of-bounds stores, and symlink escapes out of the tier directory are refused with MEMORY_STORE_ESCAPE. No content-heuristic filtering and no confirmation step, so headless auto-consolidation stays intact. Install: dsh plugin --profile web add github:RocoFish/deepseek-memory.

Workspace conversation categories with drag-and-drop ordering, collapsible groups, activity indicators, and workspace registration by directory path.

Precomputes the compaction summary in the background and commits the held result when pressure compaction fires, removing the foreground model round-trip. Registers itself as the session compaction engine, pins the span it summarised so the payload fingerprint still matches at commit time, prunes tool results before committing, and falls back to the stock foreground path on payload drift or context overflow.

Rewinds a finished turn in place — a button next to your own message withdraws that message and everything after it from the model context, puts its text back in the composer for editing, and optionally restores the files the turn changed through the DSH filesystem service.

Persona state and slow evolution for DSH: five state dimensions (valence, arousal, energy, intimacy, focus) move after each turn and decay toward baseline over time; four scene types (work, tech, support, chat) modulate reply length and warmth without changing the state itself; the Soul panel keeps a persona card plus weighted evolution entries and injects them into the system prompt persona-first under a 4000-character budget. Ships a browser panel with a persona card editor and a live state view (the five metrics plus the last six events), appends a JSONL trace to disk, and seeds a usable default persona on first install.

Turns the composer's model menu into a two-level list (provider first, then that provider's models), shows the current model together with its provider name, asks for a reasoning effort after a model is picked, and adds settings switches that hide whole providers or single models from the picker.

Provider-first model picker for the composer. Every provider is listed in the left rail and its models in the right pane. Providers, models within a provider, and pins reorder by drag or Alt+Arrow; providers take a local display alias; one provider can be the panel default; a model's reasoning levels expand inline; search matches model names, provider names and aliases. Switching goes through the shipped model directory service, so the /model popup and this panel always agree.

Wallpaper skin for DeepSeek Harness: static images, video and generative gradients with five fit modes, blur/dim/contrast/saturation sliders, rotation and six transition styles. A spread mode carries the same artwork into the sidebar, panels, menus and window chrome instead of only the conversation canvas. It also samples the artwork on a 12x8 grid to derive WCAG-checked text colours and surface opacity, and annotates replies with colour only, never boxes.

Cost pill at the right end of the composer stats row, showing the estimated cost of the current turn and the session total; clicking it opens a two-column panel with input, cache and output spend for the turn and the session, dialogue turns, today's and lifetime spend, and this session's cache-hit rate and cache saving. Rates follow the official DeepSeek price table including peak pricing (double on weekdays 09:00–12:00 and 14:00–18:00 Beijing time, statutory holidays excluded), each message is priced at the time it settled, and prices.json reloads without a restart.

Adds custom ordering and tucking away to seven strips of buttons and cards in DSH (the left sidebar, sidebar footer, conversation tabs, composer dock, session header icon strip, right sidebar and settings navigation), plus per-area drag switches and JSON layout import/export. Tucked rows land in the built-in More menu of that region and can be dragged back out.

Four-step WHOOP account connection (you create your own WHOOP developer app and paste its Client ID/Secret) with automatic sync on dashboard visits, plus recovery, strain, sleep and workout charts inside DeepSeek Harness.