Plugins

Component checklist for the shared Semi Design package used by tnnevol DSH plugins, opened from a `Semi UI` button in a conversation header: 35 components plus a multi-account case page, organised into seven sidebar groups from inputs, forms, selectors and trees to tables, cards, overlays and feedback, each rendered live with a one-line description and a page outline, with light, dark and follow-system preview. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-semi-ui-showcase`.

Tencent CodeBuddy model provider for DeepSeek Harness that signs in with browser OAuth instead of an API key, lists the CodeBuddy model catalog with the context, output, tool-calling, reasoning and image capabilities of each model, keeps multiple accounts with automatic failover to the next usable one, shows remaining quota in the composer with a token and credit usage panel, and completes automatable CodeBuddy growth tasks per account with an execution log. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-codebuddy`.

ChatGPT account sign-in for DeepSeek Harness through a Codex browser OAuth flow with no API key and no workspace selection: subscribes the login to pi-ai's Codex provider, lets you set the global default Codex model and reasoning effort for new sessions, refreshes the model list from the signed-in account's own catalog endpoint, and shows the five-hour and weekly usage windows in the composer.

DSH↔Godot engine runtime bridge: launch and drive a running Godot 4.x game through its in-game TCP interaction server — 16 tools (runtime control via ~130 game commands, scene/UI inspection, GDScript eval, input simulation, screenshots, headless static ops, project editing, export, script validation, engine-path setup), replaces godot-mcp.

Normify · DSH 插件：把项目架构写成归一化的分形模块树，三层校验（写时 / 校验 / 冻结回执）、30 个 normify_* 工具 + normify-gen 技能，一键渲染单文件交互式架构图；支持伴随式开发（change_open → brief → check → 实施 → refresh → change_close）。

Remote & mobile security gateway: zero-modification Tailscale/LAN access with QR pairing, RSA encryption, brute-force defense and mobile style snippets; auto-yields the shared pairing service to other remote plugins so coexistence never crashes startup.

Provides Xiaomi MiMo, Doubao, and browser-local TTS for DSH, with automatic read-aloud, custom voices, UI sound effects, desktop pet integration, and QQBot integration.

Connects Qoder (Lingma CN / international) models to DSH through their PATs, with a per-region multi-account pool, daily check-in, automatic failover, and read-only credit visibility.

可视化 Agent 编排平台｜基于 DeepSeek Harness，支持 Workflow、Multi-Agent、元编排、MCP 与 Human-in-the-loop｜Visual AI Agent orchestration platform for workflows, multi-agent teams, MCP and human-in-the-loop

Paper reading workbench: library + PDF reader + tutor-style companion. Answers cite clickable page numbers that jump back and flash the exact passage; select-to-ask without leaving the paper; bundled strict-tutor preset (reading plan, section coaching, graded quizzes tracked across sessions). With MinerU configured (self-hosted, no signup / mineru.net cloud token): scanned PDFs become readable, formulas become click-citable (one click sends the LaTeX source into the chat) and searchable (QK^T hits directly), plus a per-page formula panel; optional embeddings endpoint adds semantic recall for plain-language questions. Rename/delete topics and papers — deletes go to a recoverable .trash with a batch-clear flow for non-empty topics; reader with scroll/single-page modes, rightbar-fullscreen safe, one-click path copy and translated-PDF export; in-place original ↔ Chinese toggle (babeldoc, zero preinstall). Transcription and search run locally by default — documents never leave your machine; only when cloud MinerU, an embeddings endpoint, or a translation endpoint is enabled does the corresponding text go to the service you configure.

DeepSeek Harness plugin: start a page-harness share preview from DSH so teammates can review a running page

Puts the Markdown documents, source files, images and video that already exist anywhere in the session workspace into the DSH sidebar, ranked by relevance to the current conversation. The default lexical mode matches your recent messages against title, summary and body locally with IDF weighting (BM25) — no model calls, no network, nothing leaves the machine. The list comes from scanning the workspace rather than from a recent-files list, so restarting DSH or opening a new session does not empty it. Results are organised into a three-tier reading order (primary / supporting / related) with a verifiable reason on every row — which field matched, which document cites this one — and one click opens an in-place preview: Markdown as rendered text, relative-path images actually drawn, source code with the host's own syntax highlighting, video streamed over HTTP Range. The same Context Pack is exposed to the agent as a knit_docs tool. Later versions added read evidence and lifecycle tracking (attribution is frozen at the moment of reading), pin / exclude (exclusion applies before retrieval, and is undoable), relation evidence (references / imports / tests, with line numbers) and an incremental index reused across restarts. Since v0.23 there is also an optional hybrid mode: it is off by default and only runs once you configure an Ollama or OpenAI-compatible embedding provider yourself. When it runs, what leaves the machine is your query text plus each candidate file's title and summary — a Markdown summary is an excerpt of the body's first paragraph (at most 60 characters), a code file's summary is its workspace-relative directory, and an image or video contributes its file name; full bodies and absolute paths are not sent, and a loopback provider keeps everything on this machine. Since v0.24 it also associates uncommitted changes: a read-only git status (fixed argv, no shell, whitelisted child-process environment) combined with the same reference / import / test / mention evidence shows which files a change is likely to drag along, and it is off by default. The benefit of semantic retrieval still awaits a real-provider run, so no recall improvement is claimed.

Session Workbench: full-text search past sessions, recall up to 3 as @references, and manage conversation-view tabs (show/hide + drag reorder).

Secure remote access for the DeepSeek Harness Web UI: a login gate, MFA/TOTP, signed session cookies, optional admin/user/guest roles, in-browser workspace selection, and allowlisted remote file previews.

Calendar and hierarchical task workbench: AI-assisted intake clarification, consultation, decomposition, execution with user acceptance, and review, plus reminders and per-task AI session workspaces.

Academic writing guard (EN/ZH bilingual): removes AI-style defensive writing, protects scientific evidence (numbers, citations, claim strength, null findings, scope) during polishing, and calibrates writing toward a target journal (Journal Profile + Journal Fit). Deterministic local regex/statistics, zero network/LLM; writing_rules / writing_audit / writing_style_profile / writing_journal_profile with auto-audit on paper writes.

Standalone workspace file-tree panel for the DSH web UI: a session-header icon opens an animated popup of the current workspace tree; click or drag a file to insert its reference into the composer, with search, inline preview, live settings, and zh/en i18n; single-purpose, zero-config, one-command install.

Brings active DSH sessions into a 3D 'Overcooked' kitchen: AI agents work, whale-girls wander the kitchen, and you watch from the side; status bubbles show who's cooking, waiting, or done with one-click navigation — originally built to check progress, now you just can't stop watching the whales.

Visually configure an agent's prompt, tools, visible skills, subagents and fallback models, and assemble several of them into a team. It never writes or edits any host preset file.

Custom status labels for the whale's deep-diving (cordis).

Skill marketplace and manager: manage skills from all local coding agents (10+ executors, incl. Claude Code and Codex) in one page and import them into the DSH skill library; built-in market of 6600+ skills, per-skill token-overhead stats, and model visibility control.

IM Companion for dsh-im: groups Feishu/WeChat/QQ bots by Agent in DSH workspaces and enhances DSH native session states (blue/orange/red rail markers for running, needs-review and error), with left badges, one-click filter, fleet overview and drag-to-move. Clean uninstall.

Adds a Worktree view to DSH Web UI that groups Sessions by Git worktree while keeping DSH as the source of truth.