edict-multi-agent-orchestration

Skill by ara.so — Daily 2026 Skills collection. Edict implements a 1400-year-old Tang Dynasty governance model as an AI multi-agent architecture. Twelve specialized agents form a checks-and-balances pipeline: Crown Prince (triage) → Zhongshu (planning) → Menxia (review/veto) → Shangshu (dispatch) → Six Ministries (parallel execution). Built on OpenClaw , it provides a real-time React kanban dashboard, full audit trails, and per-agent LLM configuration. Key differentiator vs CrewAI/AutoGen : Menxia (门下省) is a mandatory quality gate — it can veto and force rework before tasks reach executors. Open The install script automatically: Navigate to ⚙️ Models panel → select agent → choose LLM → Apply. Gateway restarts automatically (~5 seconds). - OpenClaw installed and running - Python 3.9+ - Node.js 18+ (for React dashboard build) - macOS or Linux - Creates all 12 agent workspaces (taizi, zhongshu, menxia, shangshu, hubu, libu, bingbu, xingbu, gongbu, libu2, zaochao, legacy-compat) - Writes SOUL.md role definitions to each agent workspace - Registers agents and permission matrix in openclaw.json - Symlinks shared data directories across all agent workspaces - Sets sessions.visibility all for inter-agent message routing - Syncs API keys across all agents - Builds React frontend - Initializes data directory and syncs official stats