Plugins

DSH Studio: build, edit and apply DeepSeek Harness agent presets — tools, prompts, Configs and role-based subagents — from the web GUI.

Bridge DeepSeek Harness sessions to Cherry Studio desktops over the LAN - QR pairing, 15 cherry_* tools for agents, sessions, history and interactions (including uploading local files as attachments and reading desktop-uploaded images back as image blocks), a settings page for devices and per-workspace tool scope, and an experimental subagent that delegates the way DSH's own subagent does (Claude Code / Codex style) with the child running on a Cherry Studio agent.

Windows desktop notifications for DSH that speak the turn result by default: Windows TTS needs no download, and 13 VOICEVOX voice packs can be installed from the settings page. A completed alert waits until running subagents and background jobs finish; approval, question and error alerts fire immediately. Voice packs are downloaded from GitHub after a terms confirmation.

A bundle of molbio tools for molecular biology work:sequence analysis, primer and probe design (qPCR, TaqMan), in-silico PCR,cloning simulation,plasmid maps,sequencing validation,protein and CRISPR analysis,qPCR statistics,literature and lab records;installed as a preset-scoped bundle.

Continues work across coding agents inside DeepSeek Harness: six sessionflow_* tools query a local session index built by sessionFlow to find past work, show where the current project left off, and hand the goal, files and open items to the next agent. Requires the separate sessionFlow core, installed from its GitHub repo. Everything stays local — no cloud, no telemetry.

Model settings panel for DeepSeek Harness: set the default model for new sessions, plus separate provider/model/reasoning-effort overrides for subagents and goal rounds, with live reload.

An AI-native multimodal canvas for DSH: preview images, video, audio, 3D models, PDFs, documents, and code; connect ideas and collaborate with agents in a persistent local workspace.

Config-only DeepSeek Harness bundle that mounts the in-box MCP client bridge against morluto/rea over stdio, for reverse engineering anything with agents, from app behavior down to native binaries.

Read-only audit of the local CLI toolchain as a sidebar panel in the DSH web GUI: lists installed versions across Homebrew, npm global, pip, Rust/Bun/uv and self-updating CLIs, flags which ones have a newer release available, and shows the dependency impact for installed packages. It reports only and never runs an upgrade, so no tool on the machine is modified. The DSH plugin ships on npm as `dsh-cli-doctor`.

Four adjustable terse levels plus independent switches for reasoning effort, web search and subagents, on the conversation header and in the Settings page. No output ceiling.

Command Code subscription tiers (Go / GOAT / Pro / Max) published as `llm-pi-ai` route profiles rather than an adapter: the live /provider/v1/models list and the plan page capability catalog are joined, each model lands on the OpenAI Chat, OpenAI Responses or Anthropic Messages route the gateway's own supported endpoints call for, switching tier deletes the routes the previous one generated, and the same credential drives five-hour and weekly usage windows, credit balances and a web-search provider.

AI-agent-driven automated testing platform for DeepSeek Harness (dsh): drives the harness agent through long-lived multi-round sessions to write and run Markdown test cases, file bug reports, fix the code and re-verify the fix, with a per-project serial queue, a development board and built-in load testing.

Codebase Memory MCP bridge for DeepSeek Harness: six knowledge-graph code tools, auto-started background daemon with visualization Web UI, and bundled agent skill.

Route each task to one model and its review to a different one, with qualification evidence, failover and a durable journal.

Active wait for background subagents in DeepSeek Harness: registers a wait_subagent model tool that blocks until a named background continuable subagent settles, then returns its stop reason and closing message — optional timeout, membership gate rejects unknown ids, event-driven with zero polling. Closes the gap between run_in_background fire-and-return and the async settlement notice; wait for a background subagent without polling list_agents.

Web reading tools for text-only agents. Five read-only tools: web_fetch (any URL rendered as clean Markdown or plain text), web_links (inventory of a page's links), web_feed (RSS 2.0 / Atom entries), web_headers (HTTP status, response headers and redirect chain without downloading the body, HEAD with automatic GET fallback), and web_table (HTML tables extracted as structured rows with header detection and colspan/rowspan grid expansion). Transport is Node fetch plus a zero-dependency HTTP proxy implementation (CONNECT tunnelling, absolute-URI requests, NO_PROXY with suffix/wildcard/IPv4-CIDR matching, Proxy-Authorization). Zero runtime dependencies.

Fetches random cat facts and images from public APIs for AI agents.

Blocks an agent from reading, searching, writing, or editing chosen files and directories, keeping their contents out of the conversation — including sensitive-word files whose text can make later provider requests fail with a 400. Rules are picked from a file/directory browser on the plugin page.

Panel to edit dsh's native AGENTS.md from the web settings page: every layer in the instruction chain is clickable, three activation scopes, and a visual budget meter.

femo (Flow Emerges Mag Opus) — 用写剧本的方式编排多智能体世界。dsh 插件版：引擎、桥接器、可视化编辑器全在一个文件夹里，自包含，整个文件夹搬走即用。

DeepSeek Harness plugin that keeps the agent's green claims honest: verification runs become receipts, edits are tracked, and a stale, failed or masked "all tests pass" is turned into a rerun instead of an ending.

Orchestrates durable multi-agent teams from one DSH session: a captain spawns member subagents, drives a dependency-aware task DAG with quality gates, and coordinates through persistent mailboxes, with a live activity panel.

Voice call assistant for the DSH desktop app and the Web GUI (the same plugin, only the profile name differs): a draggable floating call ball, browser-side VAD that sends each utterance after a pause, speech recognition through the local SenseVoice model already downloaded by the official voice-input plugin (no second model), FunASR HTTP or streaming, or a cloud-compatible API, MiniMax / MiMo-V2.5-TTS (director mode and voice clone) / OpenAI-compatible TTS replies, an optional wake-word mode with auto-sleep, and task dispatch to separate sessions with progress, stop, and spoken completion reports.