Plugins

Make any project AI-agent-ready in one command. Adaptive tech stack detection (7 languages × 14 frameworks × 61 components), auto-generates AGENTS.md, docs skeleton, CI/CD, and testing infrastructure. 一句话让任何项目具备 AI 开发能力。

Self-evolution: the agent hot-mounts/removes persistent plugins on itself mid-session.

Select part of a conversation and ask about it in a right-side side chat; bring AI replies back to the main chat directly or as a summary.

Bookmark assistant replies with notes and tags; browse every bookmark in one cross-session center and export to Markdown.

A right-side floating panel and /context command for DeepSeek Harness — a live donut chart of context token usage, allocation, and estimated cost.

Multi-engine web search for coding agents — one SearchBoost core (fused search, fetch, X) with MCP (Cursor, Codex, Claude Code, Grok Build, Antigravity), pi extension, and DeepSeek Harness bundle adapters

Codex-style drag-drop: drag any file into the DSH web GUI, it lands in ~/.dsh-dropbox, and the path is inserted into the composer as a whole blue chip.

Interpreter plugin (cordis).

Auto blame.

Role-based multi-agent team for DeepSeek Harness. The /team command assembles up to 12 specialist subagents (product, architect, researcher, UI, backend, frontend, database, security, reviewer, QA, DevOps, docs) and runs a nine-phase gated pipeline (clarify, research, design, spec review, plan approval, implement, review, test, deliver) over a shared workspace of artifacts (SPEC, PLAN, TASKS, STATE, REVIEW, TEST). Quality gates are enforced by plugin code rather than requested in prompts: an unfinished task cannot be marked completed, quality findings must be adjudicated by the reviewer or QA role, and coverage gaps or rework over budget appear live in the overlay and in /team status. Ships a live team overlay (phases, roster with per-role models, task DAG, artifact preview, decision buttons), a persistent-team mode that resumes across sessions, and per-run token and time accounting. Zero runtime dependencies, no build step.

Three Zhihu tools for DSH — in-site search, Zhihu's global web index with domain and date filters, and Zhida answers — with a native settings card and source-cited results.

Real mouse and keyboard for a DeepSeek Harness agent: describe what to click in words, a vision model finds it, a USB HID device clicks it.

Plugin governance: new/updated plugins stage in a candidate area first, then hot-mount after startup — success promotes, failure auto-disables, repeated failures freeze, one-click safe mode, sidebar diagnostics panel (npm: `dsh-my-guardian`).

Browser notifications and a beep when a session turn ends, the agent asks a question or approval is pending; clicking the notification jumps to the session; remote trigger endpoint and SSE channel (npm: `dsh-my-notify`).

Task reliability: auto-retry on model timeouts/failures, auto-continue unfinished tasks, completion verification, thinking-repeat interruption, resume after sleep or restart, autopilot mode and a remote trigger endpoint (npm: `dsh-task-reliability`).

From chat to canvas to artwork — drive ComfyUI as a visual workflow IDE inside DSH. Embed ComfyUI (local or cloud) as a split-screen canvas in DeepSeek Harness Web: the agent sparks ideas, writes prompts and scripts right in the chat, applies them live to the canvas in front of you, and produces images, music, video, and 3D. From idea to finished output without ever leaving the conversation or switching front-ends: Canvas ops — compose and arrange pipelines, read/write workflows, edit nodes, wire links, run, tune parameters, and debug errors, all live and WYSIWYG on the exact canvas you are looking at; Production tasks — batch parameter sweeps (batch_run) and automatic output-image retrieval back into the chat (get_outputs), powering multi-modal creative and batch generation across images, music, video, and 3D; Environment upkeep — one-click launch of ComfyUI and one-click upgrade of the core plus every custom node (upgrade), keeping the stack healthy without interruption. This package is the DSH-side plugin, and it ships the ComfyUI-side bridge node too.

An AI routing gateway that runs as a DSH plugin. Adds a Routing System sidebar panel for suppliers, account pool, fallback combos and API keys, and serves an OpenAI-compatible endpoint at http://localhost:3080/v1.

Seven agent-preset modes for DeepSeek Harness, each with a fixed tool boundary, per-mode model routing and fast/deep omd_task delegation tiers, plus a plan-to-execute loop (/mode, /start-work, goal-backed /ulw) and a settings page that remaps models per mode and per tier.

Per-conversation persona / master prompt plugin: create, edit, switch and delete persona templates from the composer toolbar, with highest-priority system-prompt injection, fixed interaction guardrails, subagent inheritance, new-conversation default, and local JSON persistence.

"Single-Core Writing" plugin for DeepSeek Harness: Thoroughly tool-streamlined and output-hardened for quantized small models, suitable for running long-novel pipelines locally with on-device models.

The complete #dsh-plugin mall inside DeepSeek Harness: browse, search and score the full GitHub dsh-plugin topic catalog refreshed every 2 hours, AI pre-install review with install/caution/avoid verdicts, five-dimension scores with radar charts, nine-language UI, editor picks and personalized recommendations, one-click install/update/rollback with a global task panel, and an in-agent /dsh-mall skill.

Bridges WeChat private chats into DeepSeek Harness as an in-process plugin over Tencent's iLink bot protocol, with two-way text, image, file and voice messaging, in-WeChat slash commands resolved through the native command registry, WeChat-side handling of approvals and agent questions, and proactive push through a send_wechat tool.

DSH sidebar file-activity tab: records file reads/creates/modifies by the agent and the sidebar (including file ops hidden inside bash commands), per-session isolation, survives restarts, click a file for a floating preview (npm: `dsh-file-activity`).

Runs Claude Code as a DSH conversation while preserving its native agent loop, tools, skills, hooks, and MCP integrations.