dsh-Visual-Workflow: 可视化 Agent 编排平台|基于 DeepSeek Harness,支持 Workflow、Multi-Agent、元编排、MCP 与 Human-in-the-loop

by GZX2211 · MCP Server · ★ 57

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install dsh-Visual-Workflow

git clone https://github.com/GZX2211/dsh-Visual-Workflow.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentagent-teamagentic-aiagentsaiautomationdeepseek-harnessdeepseek-harness-plugindshdsh-plugin

Quick Facts

Stars57
Forks10
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score61/100
Open Issues5
Last Updated2026-10-29
Created2026-08-15
Platformsmcp, node
Est. Tokens~17k

About dsh-Visual-Workflow

Visual Workflow 为 DeepSeek Harness 量身打造的可视化多 Agent 工作流设计器 English · 简体中文 核心亮点 ✦ 拖拽式编排 零代码拖拽连线,纯 SVG 画布流畅交互、撤销重做一应俱全;无限画布、一键整理,复杂工作流触手可及。 ✦ 双模式架构 流程编排模式:长流程多 Agent 智能调度,父代理自主推进,支持断点续跑与运行中实时编辑; API服务模式

Compatible Skills

These tools work well together with dsh-Visual-Workflow for enhanced workflows:

  • dsh-desktop-hub — semantic(0.50)+complementary+same_lang+similar_pop+shared_platform (68%)

dsh-Visual-Workflow alternative? Top 6 similar tools

Looking for a dsh-Visual-Workflow alternative? If you're comparing dsh-Visual-Workflow with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    DeepSeek Harness (DSH) 插件精选目录 — 14 类 280+ 个社区插件,覆盖 MCP / Skill / TUI / 多 Agent / 上下文记忆 / UI 皮肤,点链接直达仓库。Curated

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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