Discover The Best DSH plugins

Agent collaboration · DeepSeek Harness plugins — Page 121

7257results

Explore agent orchestration, multi-agent collaboration and task execution plugins.

@liyuk/dsh-skin-telegram

Telegram-inspired unofficial visual skin for DeepSeek Harness ChatLab.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Liyuk/dsh-skin-chatlab#01d06cd38b940a49ecf89dc0447c81645fba2aa2&path:packages/skin-telegram
@liyuk/dsh-skin-wecom

WeCom-inspired unofficial visual skin for DeepSeek Harness ChatLab.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Liyuk/dsh-skin-chatlab#01d06cd38b940a49ecf89dc0447c81645fba2aa2&path:packages/skin-wecom
@liyuk/dsh-skin-whatsapp

WhatsApp-inspired unofficial visual skin for DeepSeek Harness ChatLab.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Liyuk/dsh-skin-chatlab#01d06cd38b940a49ecf89dc0447c81645fba2aa2&path:packages/skin-whatsapp
@lizhecome/dsh-tool-palette

Progressive tool discovery and per-agent unlocking for DeepSeek Harness

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lizhecome/deepseek-harness-tool-palette
@llangtop/dsh-approval-ai

AI approval answerer using the unified ctx.llm route with fail-closed local policy checks

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ang-XWBWZ/dsh-approval-ai
@local/dsh-answer-sound

Agent answer sound effects for DeepSeek Harness web: play start/done/error tones on answer lifecycle, with per-kind volume, custom audio file and a master switch in settings.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zl99103/dsh-answer-sound
@local/dsh-canvas

DeepSeek Harness project-board plugin: agent-authored .canvas.tsx boards compiled and rendered live in the web GUI, with a host UI kit, action bridge, sidecar state, and agent-readable slices

Agent collaboration · Interface extensions · Developer tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:demxyuanli/dsh-canvas
@local/dsh-extra-plan

额外规划模式(extra-plan 预设专用):按需规划 + 三级机械锚点(路由/澄清/批准)+ anchored 引导(主会话与规划子代理)+ 规划子代理探查硬上限 + 力度继承 + save_plan 方案落盘(原子双写)+ 子代理沙箱下限 + usage 账本。Mounted by the extra-plan preset; 预设资产经 postinstall 在安装时一次性分发到 DSH_HOME/.agent-presets/extra-plan/(发完即退役,永不覆盖本机改动)。

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:luca3xxvsoo/dsh-extra-plan#3653e1aea7d642858e587de81c38d70eeea2e02a&path:plugins/dsh-extra-plan
@local/dsh-standalone-chat

Standalone lightweight Chat for DSH Web: multi-turn LLM conversations with streaming, history, auto titles, rename and delete — no agent/session/workspace context.

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ZoeHao2026/dsh-standalone-chat
@local/math-agent-preset

Math_Agent: a math training/coaching preset for DeepSeek Harness that never solves problems for the trainee.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:RepInS-01/math-agent
@local/team-flowise

Flowise-like multi-agent team orchestration plugin for DeepSeek Harness (production port of the P1-P5 dynamic prototype, packaged as a composable host bundle).

Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Drkoh-wz/team-craft#aef8ca25fe2a13eea153246fcf61f18e2fc963f7&path:packages/team-flowise
@local/team-flowise-client

Client half of the Flowise-like multi-agent team plugin for DeepSeek Harness: a Settings section page, a session-header team activity panel, and a workflow DAG canvas. Bundled with tsdown into a DSH __ModuleLoader__ client bundle.

Agent collaboration · Interface extensions · Productivity
@locallens/dsh-tool-screenshot-ocr

macOS Vision OCR tool plugin for DeepSeek Harness: read text from screen capture, clipboard images, or image files (zh-Hans + en-US). Unofficial community project.

Agent collaboration · Vision tools · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uknowmyface/locallens
@lovedolove/dsh-codebase-memory-mcp

Codebase Memory MCP bridge plugin for DeepSeek Harness: knowledge-graph code search, snippets, architecture, call-path tracing, and auto-started graph visualization UI.

Memory and knowledge · Skills · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LoveDoLove/dsh-codebase-memory-mcp
@luoyu_xingu/dsh-multi-root

Multi-root workspace plugin for the dsh web GUI: attach several independent folders to one project workspace, manage them in a sidebar panel, and let agents read, list, write, and glob across every registered root through gated host-side tools. Hot-pluggable via a cordis profile bundle, no dsh source changes.

Agent collaboration · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:luoyu-xingu/dsh-multi-root
@lycheelink/dsh-workbench

Enterprise Agent Workbench: scene-card grid with dynamic parameter forms, session launch, and control room monitoring for DSH Web UI

Agent collaboration · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lycheelink/dsh-workbench
@maiziman/dsh-model-capabilities

Automatic reasoning and image-input capability discovery for custom DeepSeek Harness model providers

Agent collaboration · Vision tools · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:maiziman/deepseek-harness-portable#b8ebad37978590c0c55ea2f041a10338b1a33b8e&path:plugins/dsh-model-capabilities
@mars.liu/dsh-graft

Graft, forward and fork DSH sessions: read a slice of one session's log, export it, fork a session at a turn boundary, or forward a selected portion into another session (or a brand-new one) as a self-contained graft message. Agent tools: graft_sessions/graft_search/graft_read/graft_export/graft_fork/graft_forward.

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MarchLiu/dsh-graft
@me9rez/dsh-workbuddy-experts

Reuse the WorkBuddy experts marketplace in DeepSeek Harness: each session picks an expert via an in-composer select; the chosen expert's persona enters that session's system prompt and its bundled skills become available for that session (per-session, no per-expert preset), persisted across refresh/restart.

Skills · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:me9rez/dsh-workbuddy-experts
@metaskin/dsh-skin-studio

DeepSeek Harness 换肤工作室:一张图一套皮肤。三通道注入(书签/CDP/原生插件)+ 可视化工坊 + 13 套内置主题 + DSH-SKIN-SPEC 导出。社区项目。

Agent collaboration · Interface extensions
@mojiexuan/dsh-git

Git source-control sidebar for the DeepSeek Harness web UI: repo init, staging, commit/push/pull, branch & remote management, AI-generated Conventional Commits messages, and a commit-history graph.

Agent collaboration · Interface extensions · Developer tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mojiexuan/dsh-git
@neevcloud/dsh-sandbox

NeevSandbox execution providers for DeepSeek Harness

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NeevCloudAI/dsh-neev-sandbox
@neoxider/mcp-hub

A lazy MCP and skill capability broker for DeepSeek Harness and other MCP clients

Skills · Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NeoXider/neoxider-mcp-hub

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Questions about DSH Hub

What is DSH Hub?

DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.

Does inclusion mean a plugin is tested and compatible?

No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.

How do I install a plugin?

Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.