Plugins

Workflow One - Visual AI workflow orchestrator for DeepSeek Harness (dsh): multi-agent DAGs, live execution, recovery, and Feishu integration (single-package edition)

Windows desktop computer-use tools (click, type, key, screenshot) with freshness checks, approval gating, process-identity verification around every action, and a sanitized audit trail.

Drive OriginLab Origin scientific plotting from AI chat via MCP: 62 tools. Modal-dialog watchdog, LabTalk safety gate, release/reconnect, fit with initial/fixed/weighted params, fine-grained plot and sheet edits, matrix tools, FigureSpec declarative YAML (diff-able and replayable), MCP Resources read-only snapshot, matplotlib-figure bridge, PowerPoint assembly with panel labels, Graph Gallery template search, EPS export, file-access whitelist, visual regression baseline, and editable OPJU delivery with deterministic readback verification.

Host-resident cron engine with a web jobs board and a timer_agent tool: fires real agent sessions on schedule, continuing a pinned session for context or starting fresh ones in a chosen project workspace.

DSH 插件全家桶:浏览器自动化 + MCP Server + GitHub/GitLab 自动评审 + 原生嵌入面板 | One install, five modules for DeepSeek Harness: browser automation, MCP server, GitHub & GitLab automation, native in-app panel

DSH（DeepSeek Harness）插件：把 ego-lite 浏览器（给 AI Agent 用的 Chromium）接入 HARNESS——13 个结构化 ego_* 工具（文本语义快照、语义定位点击、表单填充、截图、CDP 控制、任务空间隔离），内置 ego 运行时，Linux + Chrome 开箱即用，无需克隆官方仓库或手动构建。

Chrome side-panel browser agent for DeepSeek Harness with tools to inspect pages, navigate, click, type, scroll, and capture screenshots through a local bridge.

Computer use through an external USB HID device: name a target in plain language, a vision model locates it in a cropped window screenshot, and a Raspberry Pi Pico 2 moves the real mouse and types on the real keyboard. 7 tools. Windows has window listing, per-window cropping and automatic window raising; macOS needs pyobjc and has neither; Linux is unsupported.

DeepSeek Harness (DSH) Cordis plugin exposing aflare workflow tools

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.

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.

Installs the browser4-cli runtime and registers the Browser4 skills (browser4-cli, browser4-experience, browser4-plugin, scent-miner) into the DSH skill registry, providing an AI-native browser engine for autonomous agents, intelligent extraction, and large-scale web automation.

Android GUI Agent with ADB screenshots, compact UI hierarchy grounding, verified iterative actions, approvals, and a Mobile Web view.

Chrome side panel that embeds the dsh web UI and lets the agent read the current page, capture HTTP traffic, and drive the browser.

AI Company Framework: turn one sentence into a multi-agent company — 15 flat Skills (boss/pipeline/role-template/11 roles/generic customer-memory), 7 workflow templates, AgentTeams runtime + activity panel, employee sidebar with per-session isolation, Feishu bot bridge (boss and per-employee bots, group routing, autonomous push, human decision gate, external-contact guide), per-customer SQLite memory with three-layer memory (cross-group merge), /company mode switch; no RAG.

把你的任何想法，变成每个平台原生的宣发内容 | Turn any idea into platform-native publicity

DSH 真实浏览器插件：通过 Kimi WebBridge 让 Agent 操作用户已登录的浏览器，并提供 13 个 webbridge_* 工具。 / Let DSH Agents use your signed-in browser through thirteen Kimi WebBridge tools.

Semantic, multi-tab Playwright browser automation for DeepSeek Harness

Lifecycle notification layer for AI coding agents — DeepSeek Harness 0.2 plugin: OS notification, in-page toast, and optional sound when a turn, background job, review, or failure needs you.

Use your logged-in web AI (DeepSeek, GLM, Kimi, Qwen, Doubao...) as model providers in DeepSeek Harness. Web models emit tool calls, DSH runs them under its native permission system, and results return to the same web session. No API keys.

Scheduled cron tasks, background automation and agent execution for DeepSeek Harness.

AX-first macOS computer use for DeepSeek Harness: accessibility snapshots with stable refs, background input, Unicode typing, menus, apps, set-of-mark screenshots, on-device OCR, verified actions, and optional Jev (TypeSafe System One) semantic guards — 1

AX-first macOS computer use for DeepSeek Harness: accessibility snapshots with stable refs, background input, Unicode typing, menus and apps, set-of-mark screenshots, on-device OCR and verified actions — 11 tools bridged to the macos-cu CLI.

Chrome and Edge browser control that drives the real logged-in profile, tabs and cookies through an MV3 extension and a loopback Bridge, exposing browser_* tools, a Skill and /chrome commands.