Plugins

Offline schematic review for EasyEDA Pro, exposed to dsh as four tools — one-shot checkup reports, architecture skeletons, an install doctor, and a live-editor bridge that prefers read-only actions, all driven by the local boardwise CLI.

将本机已登录的 Qoder（国内版 Qoder CN / 国际版 Qoder）模型接入 DeepSeek Harness —— bring locally signed-in Qoder models into DeepSeek Harness with zero configuration.

Augmentor for DeepSeek Harness: DSH plugin + Chrome extension that drives the user's real browser from any DSH session — live page snapshot, click, type, tabs — with save-to-workspace chat sessions.

Brings WorkBuddy desktop-app experts into DSH: a settings-page market scans the local WorkBuddy expert directory (experts land there after you summon them in WorkBuddy) read-only for browsing, search and category filtering, with one-click install (exported to ~/.dsh/experts/ as role prompt + skills + avatar), update and uninstall; a picker capsule next to the input box switches the current session's expert — swapping role prompt, skills and an optional tool whitelist wholesale while keeping full session history, applied at the next model-request boundary.

One-click free-model setup for DSH web, built for coding beginners: one-click installer for Windows (install.bat) and macOS/Linux (install.sh, v1.7.0+); four permanently free channels — Zhipu GLM (text + image), SiliconFlow (Qwen3-8B plus 15+ sub-9B models), iFlytek Spark Lite and the OpenRouter free pool, which routes through openrouter/auto and picks from a pool that changes over time; bottom-left setup hint hides once any free model is connected; real-time DeepSeek peak/off-peak pricing reminder; bundled beginner help center.

Multi-agent orchestration layer for DeepSeek Harness — autopilot/ralph/team execution modes, 19 role cards, 40 bilingual skills, and a bundled MCP state server, ported from oh-my-claudecode.

Full-duplex Chinese voice interaction for DSH Web: dictate and edit tasks, submit requests, manage sessions, answer DSH questions, and hear concise task-completion announcements.

Anime maid whale desktop pet for the DeepSeek Harness (dsh) Web UI: real-time LLM dialogues, 8 mood animations, satiety reserve system, persistent speech bubble, and mobile-adapted cupboard UI.

Unofficial DeepSeek Harness integration for Unreal Engine 5.8 Unreal MCP

Noname (Sanguosha-like game) extension workshop. AI writes skill and card extensions behind confirmation gates, static validation and block-based safe writes.

DSH plugin: one settings panel managing MCP servers, skills, scenes, memories, subagent personas, AGENTS.md presets and archived sessions — one scene can switch the environment, and the model can help drive it all too.

Claude Code CLI as an LLM provider for dsh: live model list, per-session resume, approval relay, images, a memory/rewind/changes panel, and workspaces on remote SSH boxes.

Wraps work in named tasks and, once a task closes, folds its whole span of messages into one summary at the next step boundary; the original content can be restored on demand.

Multi-machine sync: keeps multiple dsh replicas consistent through one private GitCode repository — skills, sessions, settings and plugin manifests each with an independent switch; changes go through branch, PR and merge, remote-only additions are pulled back before every push so nothing is deleted, and an AI smart-align step semantically merges files both sides changed (plus one-click conflict resolution); private repos enforced, pull never overwrites local edits.

Injects one system-prompt section so the agent's chain-of-thought, planning and tool-invocation reasoning stay in Simplified Chinese. Zero external dependencies - clone and link-install from any local directory, no npm build or publish required.

Adds a Web composer switch between the native DSH agent and Grok Build, proxying Grok Build sessions and slash commands through ACP.

在 DeepSeek Harness（DSH）里接入微信官方 ilink 机器人网关：扫码绑定后，AI 能主动给自己发微信通知；每次回复后自动推送任务完成摘要；目标完成/阻断时自动通知；需要批准/选择时主动微信提醒。自带设置界面（设置 → ClawBot：扫码二维码、微信在线/断线状态、手动发送、三个自动通知开关、监听开关、解除绑定、自定义图标）。 底层走腾讯官方 ilink 网关（https://ilinkai.weixin.qq.com），无第三方破解、无自建中转，消息只发给绑定的账号自己。

Modular frontier execution discipline for DSH: evidence-first routing across 26 skills, Manus-style file planning, verification gates, fail-streak recovery, and an interactive web dashboard.

Trellis-style workflow for DeepSeek Harness: per-turn phase breadcrumbs via agent/pre-step, bundled skill provider, and DSH-native task/phase state with git-cleanliness guardrails.

Codex-style window capture for DSH Desktop on macOS and Windows: press both Command keys (macOS) or both Ctrl keys (Windows), or the camera button, to grab the frontmost window, attach it to the current chat, and inject a VoiceOver-style accessibility tree as hidden context.

Media and vision workspace for DeepSeek Harness: image, video and speech generation, image Q&A and element locating, long-image OCR, pixel diff, HTML-screenshot verification and video summarization, with DashScope and OpenAI-compatible providers, model pools and a workbench client.

Cache-stable progressive tool discovery: a fixed tool_search and tool_dispatch surface on every request, in-memory catalog search, nested dispatch through the Harness pipeline, and a byte-stable native tool list across discovery.

Automatic session retrospective: after a conversation wraps up, distills useful experience into reusable skills stored in the skill library for the model to call, with signal-accelerated triggers, manual runs, an approval mode, and skill-library governance (archive/restore, never deletes directly).