Claude Skill

cft0808/edict

EDICT is an OpenClaw multi-agent orchestration system featuring 9 specialized AI agents, real-time dashboard, model config, and full audit trails for transparent workflow automation.

Overview

Stars16,082
Forks1,696
LanguagePython
Last pushed2026-06-16
Last synced2026-06-17
View on GitHub

Repository

Ownercft0808
Repositoryedict
Full namecft0808/edict
Repo ID1,164,832,776

Install this Skill

docker run -p 7891:7891 cft0808/sansheng-demo

Registry

Typeopenclaw_skill
Quality score85/100
Verificationreadme_parsed
Last verified2026-05-28
Platforms
ClaudeOpenClaw
Capabilities
imagevideoterminalworkflowai-agentsai-orchestrationautonomous-agentsclaudedashboardkanban
Detected files
README.mdREADME_EN.mddocker-compose.ymldocsexamplesrequirements.txttests
Config keys
URL
Install methods
  • docker run -p 7891:7891 cft0808/sansheng-demo
  • docker run --platform linux/amd64 -p 7891:7891 cft0808/sansheng-demo
  • git clone https://github.com/cft0808/edict.git

Summary

EDICT is an OpenClaw multi-agent orchestration system inspired by the ancient Chinese 'Three Departments and Six Ministries' governance model. It deploys 9 specialized AI agents that collaborate autonomously, featuring a real-time dashboard, flexible model configuration, and complete audit trails for transparent workflow automation.

Chinese description

🏛️ 三省六部制 · OpenClaw 多智能体协同系统 —— 9个专业AI代理,配备实时仪表盘、模型配置与完整审计追踪

Key features

  • 9 specialized AI agents for diverse tasks
  • Real-time dashboard for monitoring and control
  • Flexible model configuration (supports OpenAI, Claude, etc.)
  • Complete audit trails for full transparency
  • Kanban-style workflow visualization
  • Inspired by ancient Chinese governance for robust orchestration

Use cases

  • Automated multi-step business process orchestration
  • AI-driven project management with agent collaboration
  • Complex decision-making requiring specialized agent roles
  • Transparent workflow automation for compliance-heavy industries
  • Research and development of multi-agent systems

README excerpt

<h1 align="center">⚔️ 三省六部 · Edict</h1> <p align="center"> <strong>我用 1300 年前的帝国制度,重新设计了 AI 多 Agent 协作架构。<br>结果发现,古人比现代 AI 框架更懂分权制衡。</strong> </p> <p align="center"> <sub>12 个 AI Agent(11 个业务角色 + 1 个兼容角色)组成三省六部:太子分拣、中书省规划、门下省审核封驳、尚书省派发、六部+吏部并行执行。<br>比 CrewAI 多一层<b>制度性审核</b>,比 AutoGen 多一个<b>实时看板</b>。</sub> </p> <p align="center"> <a href="#-demo">🎬 看 Demo</a> · <a href="#-30-秒快速体验">🚀 30 秒体验</a> · <a href="#-架构">🏛️ 架构</a> · <a href="#-功能全景">📋 看板功能</a> · <a href="docs/task-dispatch-architecture.md">📚 架构文档</a> · <a href="README_EN.md">English</a> · <a href="README_JA.md">日本語</a> · <a href="CONTRIBUTING.md">参与贡献</a> </p> <p align="center"> <img src="https://img.shields.io/badge/OpenClaw-Required-blue?style=flat-square" alt="OpenClaw"> <img src="https://img.shields.io/badge/Python-3.9+-3776AB?style=flat-square&logo=python&logoColor=white" alt="Python"> <img src="https://img.shields.io/badge/Agents-12_Specialized-8B5CF6?style=flat-square" alt="Agents"> <img src="https://img.shields.io/badge/Dashboard-Real--time-F59E0B?style=flat-square" alt="Dashboard"> <img src="https://img.shields.io/badge/License-MIT-22C55E?style=flat-square" alt="License"> <img src="https://img.shields.io/badge/Frontend-React_18-61DAFB?style=flat-square&logo=react&logoColor=white" alt="React"> <img src="https://img.shields.io/badge/Backend-stdlib_only-EC4899?style=flat-square" alt="Zero Backend Dependencies"> </p> <p align="center"> <img src="https://img.shields.io/badge/公众号-cft0808-07C160?style=for-the-badge&logo=wechat&logoColor=white" alt="WeChat"> </p> --- ## 🎬 Demo <p align="center"> <video src="docs/Agent_video_Pippit_20260225121727.mp4" width="100%" autoplay muted loop playsinline controls> 您的浏览器不支持视频播放,请查看下方 GIF 或 <a href="docs/Agent_video_Pippit_20

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Data from GitHub. Synced on 2026-06-17