Plugins

Deterministic research reports for Chinese public mutual funds built from public-source data (Tiantian Fund and Eastmoney), pure-function metrics (performance decomposition, holdings penetration, style attribution, manager profile), and versioned reports with a per-number snapshot traceability appendix.

Self-built DSH memory plugin: SQLite persistent storage + database-level audit guard (enforceAudit) + audit log. Auto-captures knowledge after conversations, agents recall via memory_recall, supports Claude Code/Codex/Cursor multi-agent sharing. Zero external dependencies.

Embracing All Creation (Plugin Suite) — Dedicated to the Harmonious Coexistence of Hundreds of DSH Plugins / 揽尽万象（插件整合包） —— 致力于让数百个DSH插件和谐共存

Deep-read books and articles in five modes (quick, deep, knowledge map, Feynman, full book) with claim-evidence-data reports, Mermaid/XMind mindmaps, batch comparison, budget preflight, transparent background-job progress, and MD/HTML exports from URLs, files, or pasted text.

Codex-style workflow auto-collapse: finished turns fold into a single "processed in Xs" row leaving only the final answer; tool calls and think blocks collapse into live-summary chips that follow streaming; expand level by level, fully reversible on uninstall.

Export the append-only session log as human-readable Markdown or HTML, grouped by trajectory source.

Agent Context Editor is a cross-agent plugin for manually excluding, editing, and selectively compressing AI conversation context. It also supports searching, filtering, selecting, hiding, restoring, and undoing conversation changes while preserving the original Session.

Connect DSH to a MultiVibe gateway and inspect available models and connection status.

WSL workspace support for DeepSeek Harness——无缝的 WSL 工作区使用体验，无需在 WSL 之中再安装一个dsh，安装该插件后在 GUI 里直接添加 WSL 工作区即可。WSL workspace support for DeepSeek Harness — Enjoy a seamless WSL workspace experience without needing to install dsh inside WSL. Once this plugin is installed, you can directly add a WSL workspace right from the GUI.

Cross-platform Computer Use for DeepSeek Harness: virtual-mouse human-like operation (screen_observe + computer_click + type + key + scroll + drag, 11 tools), AX-tree zero-vision-cost mode with free GLM-4V-Flash vision fallback, safety guards (snapshot TTL / app whitelist / dangerous-action approval / password-box protection).

DSH notification & remote-control plane: one `notify()` API across 28 outbound channels, six inbound control channels, phone approvals/questions/task control, a Native DSH Notify & Control UI, live outbound hot-apply, multi-agent routing, and zero runtime dependencies.

Blender 3D production plugin with 30 modeling/reconstruction skills, 13 runtime tools, and 26 deterministic helpers for reference fitting, rendering, validation, animation, and portable export; installable as `dsh-blender`.

Lets the AI insert streaming-generated UI into the conversation or a side panel, written in TSX — already one of the model's native languages, so there is no JSON schema to teach it. Rendered without flicker, state kept across frames with no hard remount, and a click in the card driving the next chat turn. Inline is where streaming matters most; the side Canvas is the more agentic shape. Cards get agentic capabilities of their own — run bash, curl, call the model, read and write files.

Trace Compare & Live Maze: draw the agent's real exploration — main path, failed or dead-end detours, backtracks, and subagent branches — on one wall-clock timeline; upload 1–2 session logs for a same-axis compare, or watch it grow live in a session tab.

Complete chinese-traditional-wisdom (玄枢 / XuanShu) skill pack as a DeepSeek Harness Cordis plugin: bazi, ziwei-doushu, liuyao, meihua, qimen, daliuren, taiyi, wuyun-liuqi, constitution and fengshui calculation, with a local deterministic engine and a visualization dashboard.

A Live2D whale-girl companion for the DeepSeek Harness Web UI: the model stays on screen and reacts to what the agent is actually doing (thinking, tool calls, streaming text, errors, turn completion); click her to send the agent a message and watch the reply stream into a speech bubble; right-click for a menu of expressions, dress-up items, desk scenes and one-shot animations, every action mapped from the original model author hotkey sheet so nothing overlaps and everything expires on its own. Non-commercial model assets (CC BY-NC-SA 4.0), MIT code, by Andersen216 (https://github.com/Andersen216).

Runs Midscene on the models already configured in DeepSeek Harness instead of separate third-party API keys: hosts an OpenAI-compatible bridge on 127.0.0.1 (default port 8787, automatically skipping occupied ports) that proxies chat completions, streaming and non-streaming, to the DSH host model layer, so DeepSeek official routing, CodeBuddy, Codex and custom OpenAI/Anthropic endpoints all become available to Midscene agents while credentials stay inside the provider plugins and the bridge never touches them. A `/v1/midscene-env` endpoint generates the four MIDSCENE_MODEL_* environment lines with the model family inferred, and seven built-in skills — browser, desktop, Android, iOS and HarmonyOS automation plus a Vitest E2E skill and a Midscene knowledge reference — appear in the session skill catalog without `npx skills add`. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-midscene`.

Multi-source web search and fetch failover for DeepSeek Harness sessions: takes over the session searchProvider and fetchProvider seams and tries configured sources in a chosen order — TinyFish, Tavily and the official search as a fallback that always participates and can be repositioned but not removed. Multiple API keys per platform are spread round-robin, usage snapshots drive pre-flight exclusion of exhausted accounts, and per-request timeouts plus same-platform retry control failover granularity. Web fetching runs local HTTP first, then falls back to TinyFish Fetch server-side rendering and Tavily Extract, so pages still load when local egress is blocked by proxy or DNS policies. A per-platform panel shows key usage and plan limits. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-failover-search`.

Persona library for DeepSeek Harness: injects the selected persona into the system prompt, offering three built-ins plus import from a file or pasted text, applied either profile-wide or per session from a switcher above the composer.

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.

Log query card for the DSH Web GUI over Elasticsearch / OpenSearch: one query surface with per-dialect query strings and clickable examples, field-name completion, filter chips, a time histogram whose bars zoom into that window, field facets that turn a bucket into a filter, and a result list with level colors, stack-continuation rows, columns and paging; Docker container logs are a collection source that reuses the docker plugin. Ships five read-only loglens_* tools (sources / search / fields / facets / context) sharing the same execution layer as the panel. Outbound requests only reach configured sources, judged on the resolved IP, without following redirects and with size and timeout caps.

Connects Qoder (China and Global) subscriptions to DSH through personal access tokens, keeping each variant on its own credentials and catalog, with saved-token switching, sidebar quota cards, per-model toggles, a context-window preference and a daily check-in.

MCP server configuration card for the DSH Web GUI: add / edit / enable / disable MCP servers over stdio (local subprocess) or streamable-http (remote), with js: prefixed expressions for env / header values, status badges, and hot-reload on save.

Docker container panel for the DSH Web GUI: containers (optionally including stopped), docker inspect details, logs, stats snapshots, image list and one-shot exec on the local machine or SSH hosts — read-only by default (mutations and exec are permission-gated), with a per-container terminal drawer embedded via the tty plugin.