Plugins

Vision toolkit for text-only DeepSeek: model-invokable `vision` tool, wrapper adapters for deepseek/opencode-go (v4 flash/pro), Antigravity IDE quota (default, flash/pro) / any OpenAI-compatible VLM / Gemini / local Ollama channels, evidence memory with compaction rehydration, content-hash cache, and a bilingual client panel.

China A-share financial data MCP server for the harness: 11 fin_data__* tools (quotes/K-lines/financials/calendar/special-data/announcements/EDB/reconcile/funds/indices) over THS free official REST (primary) + AKShare (fallback) + Wind (exclusive domains), with observable degradation, context-budget compression (result-side -72.2% measured), and an offline 10-year market-data lake; BYOK.

Local toolbox for the DSH web GUI: 35 pure-client tools (text, encoding, hashing, extraction, conversion, reference tables) in a sidebar view, plus the /toolbox command and config-driven agent tool exposure.

Zero-dependency MCP client bridge that connects stdio and HTTP MCP servers and registers their tools as mcp_<server>_<tool> for the agent.

Conversation history recall for DSH: three-layer (literal/fuzzy/semantic) retrieval over every past session's original text, fully local & offline — AI never forgets what you told it. One-command install via `dsh.bundle.patch`, semantic layer runs in a worker thread.

Turns local markdown and text documents into a queryable knowledge base with hybrid semantic and keyword search, citation verification, and source injection.

Human-readable Markdown memory for DeepSeek Harness: user-level (~/.deepseek-harness/MEMORY.md) + workspace-level memory injected every turn, auto daily-log writing with distillation, bridges existing WorkBuddy/CodeBuddy memory dirs, memory_note / memory_note_user / memory_read tools with built-in dedup, and a bilingual settings page. Plain-text storage, no database.

Deterministic context compaction: prunes conversation atoms in reference-graph topological order with no LLM calls during compaction, and keeps pruned atoms recallable by marker.

Adds a Settings Usage dashboard for DeepSeek API balance, official token and cost analysis, trends, context warnings, and live API activity.

**DeepSeek Chat (chat.deepseek.com) same-style attachments**: paperclip upload button, 240×64 DS-style file cards with official colored doc icons (PDF/DOCX/XLSX/PPT/IMG extracted from the DS frontend bundle), drag-and-drop, text extraction (PDF/DOCX/XLSX/TXT) injected into the message, and real attachment cards rendered in the transcript (custom user renderer) with the model reading full content.

Workspace file tree for the Web UI: multi-tab preview (text/DOCX/PDF/Markdown/CSV/images), inline Markdown editing, a Git changes panel, and file operations (rename/delete/copy/move/create) via context menu.

Right-side prompt toolbox panel with 24 built-in deep templates plus user-defined ones, accessible via the /prompt slash trigger and a context-aware floating suggestion card; one-click inserts the selected prompt into the composer.

Asynchrone, per LLM zusammengefasste Kontext-Weiterleitung zwischen DSH-Sitzungen und autorisierten Agent-Team-Räumen, mit sofortigen Snapshots und geplanten Zusammenfassungen.

Inkrementelles Datei-Mounting mit Lese-Deduplizierung: gemountete Zeilenbereiche werden nie erneut an das Modell gesendet, Änderungen auf der Festplatte machen sie ungültig und lösen ein Neu-Mounten aus, mit einem Tab „Gemountete Dateien“ und einer Auswertung der eingesparten Token.

Stellt die Fähigkeiten des DeepSeek-Harness-Agenten als MCP-Server bereit, sodass ein externer MCP-Client (z. B. Hermes) Harness zur Ausführung von Coding-Aufgaben steuern kann. Hermes = Gehirn, Harness = Arme.

Sprachnotizen rein, gesprochene Antworten raus: Audio diktieren, das zu Nutzernachrichten wird (Transkription), den Agenten Antworten laut vorlesen lassen (Sprachausgabe), lokal-first unter ~/.dsh/voice.

Erstellt prüfbare Wissensdatenbank-Pakete (SQLite FTS5) aus md/txt/docx/pdf mit deterministischem Retrieval und Lesen des Originaltexts.

Local knowledge base RAG for DeepSeek Harness -- index project files and search for relevant context

Writing tools that remove AI-sounding patterns and match your personal voice. 8 deterministic tools scan text, build a style fingerprint from your samples, and return rewrite briefs.

DeepSeek Harness (dsh) plugin for @tabilo/ai-code-review: registers the ai_code_review tool (review | context) that reuses the Node.js engine to collect diffs, run tests/coverage, do impact analysis, and feed pack skills to the model.

Youdao-style word-selection translation for the DSH web GUI. Select text anywhere, click the floating button, get a translation from the harness's own LLM — no API keys, no third-party endpoints. 有道风格划词翻译：DSH Web GUI 里划选文本即现悬浮「译」按钮，点击由 harness 自带大模型翻译，无需

A searchable, sortable model picker for the DeepSeek Harness Web UI — provider groups, favorites, models.dev prices, context windows, live per-task token cost and a local-model filter. One-command install: dsh plugin add dsh-model-garden.

DSH 智能上下文压缩插件 —— 在有限窗口内管理认知资源，让 Agent 记住真正重要的信息。 Smart context compression for DSH — managing cognitive resources within limited windows, so your Agent remembers what truly matters.

Xiaomi MiMo text-to-speech controls for DeepSeek Harness Web assistant messages