Plugins

Project memory for dsh with native task-system integration: session todos and file reads auto-condense into cross-session task records (task↔file links), so workflows are switchable and resumable without re-contextualizing. Read-time memory (no upfront scan): extracts code symbols, summarizes docs, and cross-links docs↔symbols; optional TS semantic enhancement (auto on when TS installed). Experience notes auto-dedup. Every recall includes a traceable citation. Pure JS, single dep, works out of the box, silent operation, zero overhead.

Live2D desk pet overlay for the DSH web GUI: mirrors agent state (thinking, idle, error, done, awaiting approval) with motions and speech bubbles, per-part touch reactions, drag-to-dock, switchable personas, and custom models via URL or local path.

H.D.D skin for the DSH Web UI: a voiced full-screen boot animation, an animated eye core (idle / thinking / done) you can drag or hide, a brand swap on the new-chat hero, a time-of-day greeting, a usage bubble with balance, today spend and the peak/off-peak countdown, the Fairy-mode agent preset, and optional local GPT-SoVITS voice.

Syncs the wallpaper currently applied in Wallpaper Engine to the DSH Web UI background through a local bridge: preview/capture/full render modes, monitor lock, a wallpaper library panel for local and market content, focus lens with eye tracking, immersive mode, and a Windows app launcher that installs software from direct links or a cloud-drive share link and starts it with one click.

An agent that wakes up on its own schedule: by default every 60 minutes, ±20% (48–72). It browses the interests you set, drops what it finds into a local pool of notes, and keeps a profile of what you like. When it has enough worth sharing it hands the session you linked a short package of notes — whether to speak, and which note to use, is that session's agent's call in the moment. Quiet hours, busy windows, a daily limit and a cooldown are decided in code; when the answer is no, the decision and expression phases after the gate call no model at all — browsing runs before the gate and is counted separately. Windows, Linux and macOS (Linux and macOS are minimal support).

Streaming fold for the DSH web transcript: the newest thinking window opens itself, older process rows fold into one summary, and a finished turn glides back to your prompt, which stays pinned while you read.

Per-request thinking budgets, a compaction backend, and a settings tab for the local Qwen3.8 line (llama.cpp or NInfer).

Per-round thinking-level (reasoning_effort) control for DeepSeek Harness: pick Auto and it schedules low/high/max from the recent tool-call history, or fix a wire level (off/on/minimal/low/medium/high/xhigh/max) manually, with custom wire mapping, a model-aware capability guard, and context-window presets (64K–1M); its per-model capability card pairs with a separate plugin, [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable from dsh-market), so custom OpenAI-compatible gateways (vLLM / LM Studio / self-hosted) can try reasoning — the card writes llm-pi-ai capabilities, the adapter drives the wire (compat.thinkingFormat), and this plugin auto-maintains the takeover list.

Git-style dot timeline on the right edge of the DSH web UI: one dot per user message, hover for content and metadata (time, turn, duration, TTFT, tokens), click to jump. Also adds a full-session message list, in-session and cross-session search, bookmarks with #msg= deep links, and keyboard navigation.

Installs Herta as a DeepSeek Harness agent: a preset carrying her persona and memory prompt sections, six memory and voice tools, a narrative layer that separates her thinking from what she says, 80 bundled voice clips, offline and MiniMax speech synthesis, and two conversation views that render the session with her own components.

Visual branch brainstorming that creates an isolated Session for each direction, automates parent, sibling, checkpoint, and return Handoffs, and provides a full tree tab with an optional Better Sidebar view.

Imports sessions from pi, opencode, codex, claude-code and WorkBuddy into DSH, unifies AGENTS.md, skills, project and per-agent memory across harnesses with symlinks instead of copies, and migrates Codex and WorkBuddy automations into DSH scheduled tasks.

Folds degenerate reasoning loops out of the model-visible history so they are not replayed upstream on the next turn. Detects two shapes — one sentence hammered repeatedly, and short-sentence rotation — and replaces the matched span in place; a companion escape valve aborts a turn that will not stop on its own.

Auto-compaction that writes a handoff note first: as a session approaches a token threshold it asks the model to save a project checkpoint into the workspace, then optionally starts a fresh session seeded with a continue instruction and parks the old one. The note must be written within the current compaction cycle and its conclusions section must actually change, so a stale or merely touched file cannot slip through.

Injects one system-prompt section so the agent's chain-of-thought, planning and tool-invocation reasoning stay in Simplified Chinese. Zero external dependencies - clone and link-install from any local directory, no npm build or publish required.

A Claude Code-style reasoning-effort slider for the DSH Web UI: stepless drag, snap-on-release, a WebGL fire trail, and real, working thinking-effort control for any custom third-party model or provider.

DSH plugin for Blind Whale Farmer, a SMAPI mod in the same repo that turns Stardew Valley into a text game state so an AI can play it through MCP tools: farming, fishing, mining, gifts, festivals and marriage, plus LAN co-op on the same PC where you chat with her in Chinese (F6). A config card on the plugin page sets play limits (days and minutes), time freeze while thinking, the co-op mode, extra instructions and the guide, and pushes them to the running game; an optional session preset or a single stardew gateway tool (both off by default); and an automatic "keep playing" when a session stops on a tool call that came back as plain text. Needs the mod installed in the game.

Knowledge base as a canvas in the right sidebar: notes are nodes, and nine tools let the model read, write, link and remove them. A node can carry pictures and documents, and reading one returns their text — Office files extracted in place — while pictures can be handed over as images.

Local literature knowledge-base RAG: 10 tools (kb_ingest, kb_search, kb_rag, kb_zotero, kb_dedup, kb_clear, kb_fetch, kb_scope, kb_stats, kb_status), hybrid BM25+vector+reranker search, cited QA with clickable DOI links, all-local bge embeddings over a single-file SQLite index. Needs Python 3.9+ with pymupdf, faiss-cpu and sentence-transformers; the `npx dsh-kb-rag-install` installer sets those up and pre-downloads the model.

Hello Kitty-styled task-completion and question alerts for DSH Web, bundled with an optional light/dark pink Skin Center v2 theme and local install scripts.

Access DSH from your phone or anywhere: Cloudflare Quick Tunnel public link, LAN HTTP/HTTPS direct access with an auto-generated self-signed certificate, token auth, gzip compression, a floating phone-icon panel with QR codes, configurable public URL and LAN port, and WeChat / Feishu / Telegram bot channels with per-channel health monitoring and session-completion push. Targets DSH 0.2.x (also works on 0.1.2-rc.1+).

WeChat (personal WeChat, iLink Bot API) channel: chat with your DSH agent from WeChat, with images, files and voice-note transcription. One WeChat conversation can hold several DSH Sessions (/new, /list, /use) and every option is editable from the settings page. Also published to npm as dsh-plugin-weixin.

Connector only, it renders nothing itself: subscribes to DeepSeek Harness session events and folds them into a 12-phase work state (planning / thinking / executing-tool / streaming / waiting-input / voice / awaiting-approval / complete / error / paused / idle / heartbeat), then POSTs each phase to a desktop-pet backend at http://127.0.0.1:8000/api/plugin/dsh/ingest. It holds no window. No API key or token is needed. Requires the Mao Live2D pet application to be separately installed and running (that is a Windows Electron app with its own PowerShell 7 / Python 3.10+ / Node 18+ prerequisites); without it this plugin has nothing to push to.

Connects a Doubao account to DeepSeek Harness as a model provider after a single browser QR sign-in — live model discovery from Doubao web and desktop menus with inline composer billing multipliers and per-model thinking ladders, 「工作任务」 task-mode models spending paid quota, chain-of-thought reasoning streaming, Seedream image generation preferring original uncropped assets over watermarked variants, native DSH token usage and session stats tracking, and a live remaining-quota panel. Windows x64 only, since the session is sealed with DPAPI. Windows x64 only, since the session is sealed with DPAPI.