Plugins

Session-level superagent: watch one GitHub repository and wake this session when an issue or pull request changes; requires a logged-in gh CLI, and the credential never reaches the model.

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.

Visible agent browser for DSH over CDP, also driving egolite, Tabbit, Chrome, Edge, Brave and Lightpanda backends. Only bcdp_status stays resident (401 chars); the other 33 context-optimized bcdp_* tools unlock per activity batch, so non-browser sessions pay no schema tax (-91.9% measured). Realtime watch panel with direct click/scroll/IME input, element picks quoted into the composer as balanced @"picks/*.json" references, and human-verification notices; non-CDP channels (ego CLI / Tabbit CLI) sync frames by 3s polling. Cross-version support for DSH 0.1.7-rc.1 ~ 0.2.2-rc.1 (exact enumeration of 10 rc).

lowtide: human-adjudicated off-peak batch task pipeline for dsh (peak/valley pricing aware)

Off-peak batch runner for DeepSeek Harness: users define tasks during busy hours — prompt, strategy, priority, workspace, locked files — and release them by hand; the plugin then runs the batch automatically inside user-defined off-peak windows. Each run passes five preflight checks (workspace, git HEAD, locked-file sha256, window fit, daily budget), supports four execution strategies (single / iterative / sampling / review) and three autonomy levels (L1 per-task, L2 batch, L3 full-auto), and closes the loop with a morning report containing diffs, actual spend and savings from a daily ledger aligned with official peak/valley pricing.

Text-first computer use for DSH: background Chromium control via Playwright/CDP plus accessibility-first macOS control; actions stay pinned to the right process and window without taking the user's pointer, ships a Developer ID signed, notarized Universal 2 DMG.

Controls your real Chrome from DSH over a local WebSocket bridge: tab management, navigation, DOM snapshots, page JS evaluation, clicks, typing, screenshots, waits and dialog handling behind a Settings toggle.

Dual-brain Chrome automation: registers the browserpaw skill and browserpaw_session tool to connect with the local BrowserPaw host (127.0.0.1:12306 via bridge-token), driving Chrome without losing logins.

Runs scheduled coding tasks in isolated DeepSeek Harness sessions, managed from Settings or the agent.

Connects DeepSeek Harness to Multisim MCP for circuit generation, simulation, diagnostics, design optimization, and experiment report export.

给 HR / 猎头的 AI 招聘工作流：岗位标准梳理、Boss直聘 + 猎聘双通道寻源初筛、市场人才盘点、简历评估、约面试、候选人台账与日报。可装成 Claude Code 插件或 DeepSeek Harness (dsh) 插件——后者自带可直接上手操作的「招聘浏览器」面板；也能配合任意读 AGENTS.md 的 AI 编程助手使用。

China A-share financial data MCP server for the harness: 11 fin_data__* tools (quotes/K-lines/financials/calendar/special-data/announcements/EDB/reconcile/funds/indices) over THS free official REST (primary) + AKShare (fallback) + Wind (exclusive domains), with observable degradation, context-budget compression (result-side -72.2% measured), and an offline 10-year market-data lake; BYOK.

Cross-device session sync for DeepSeek Harness — syncs sessions and settings between machines through git.

Visual multi-agent DAG workflows for DeepSeek Harness with live execution, restart recovery, and Feishu integration.

aginxbrowser plugin for DeepSeek Harness: fetch JS-rendered / Cloudflare-protected pages as clean markdown, aggregated web search (Baidu/Sogou/WeChat and 11 more), and indexed interactive sessions (click / type / scroll / eval / screenshot) against a host

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.

Zero-dependency browser control: drive a real headless Edge/Chrome over CDP with 8 `pilot_*` tools (navigate/click/type/keys/eval/screenshot) plus a live draggable cockpit panel in the Web GUI - text-first snapshots for text-only models, no Playwright, no API key.

Windows only: the agent edits documents inside the Word, Excel and PowerPoint (Microsoft Office or WPS Office) windows you have open, through the applications' automation interface, so changes appear live and you can edit alongside; it reads structure, applies batches of edits, renders pages to images to check layout, and saves or exports PDF.

Imports sessions from pi, opencode, codex, claude-code and WorkBuddy into DSH, unifies AGENTS.md, skills, project and per-agent memory across harnesses with symlinks instead of copies, and migrates Codex and WorkBuddy automations into DSH scheduled tasks.

Pools every WorkBuddy account signed in on this machine into one auto-failing-over provider, serving OpenAI Chat, OpenAI Responses and Anthropic Messages from the same pool, with model aliases, usage statistics and scheduled credit automation.

HarmonyOS device bridge: hdc screenshot/install/log/crash/UI automation loop with read_image, official-first versioned API knowledge (SDK .d.ts + offline bundled docs), and a DevEco CLI build/sign/lint lane.

Browser automation (Playwright) with a live view, an MCP server exposing DSH agents to any MCP client, and GitHub issue/PR/webhook review tools.

Wraps the local GitHub CLI (gh) in agent tools for pull requests, issues, Actions runs, repository search and raw API calls, plus /gh status and /gh help slash commands and two web panels (a global repository cockpit and a per-session workspace panel).

Role-based multi-agent team for DeepSeek Harness — your digital workforce. One goal assembles a team of product, architect, frontend, backend, reviewer and QA roles that deliver through a nine-phase gated pipeline, plus a persistent team you can keep directing across sessions. Zero runtime dependencies, no build step.