# cft0808/edict

🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails

Repository: https://github.com/cft0808/edict
Canonical: https://ross.abutalabs.com/products/edict
Homepage: https://openclaw.ai
Language: Python
License: MIT
License Family: permissive
Topics: ai-orchestration, dashboard, llm, multi-agent, openclaw, python, ai-agents, autonomous-agents, claude, kanban, openai, orchestration, workflow-automation
Last push: 2026-08-03T11:24:42+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 13
- inputs: {"age_days": 191, "days_push": 30, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 16564, forks 1736 (observed 2026-08-28T04:11:16.714553+00:00)

## What it is
Edict is a multi-agent orchestration system for OpenClaw that organizes 12 specialized AI agents into a Tang-dynasty Three Departments and Six Ministries structure with institutional review, task dispatch, and full audit trails. It ships a real-time Kanban dashboard with agent health monitoring, hot model switching, and task intervention.

## Use cases
- orchestrate multiple AI agents with review and approval steps
- monitor AI agent tasks on a real-time kanban board
- audit multi-agent workflow decisions
- switch LLM models per agent without restarting
- run an OpenClaw multi-agent pipeline with task intervention

## When to choose
- you need auditable, reviewable multi-agent pipelines rather than free-form agent chat
- you want a real-time dashboard with task stop/cancel/resume controls
- you already use OpenClaw and want structured orchestration on top

## When to avoid
- you want a lightweight single-agent assistant
- you need a framework with a large plugin ecosystem like CrewAI or AutoGen
- you cannot run OpenClaw or Docker

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, workflow-automation, monitoring, chatbot
- domain: large-language-models
- platform: python, self-hosted
- tags: multi-agent-orchestration, kanban-dashboard, audit-trail, openclaw, three-departments-six-ministries, ai-agents, automation, docker, web-server

## Member repositories
- cft0808/edict (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:16.714553+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:04:52.175228+00:00, confidence not recorded.
  - readme: https://github.com/cft0808/edict (fetched 2026-08-28T04:11:16.714553+00:00, sha f4178b292976)
  - homepage: https://openclaw.ai (fetched 2026-08-29T08:02:16.979841+00:00, sha 3a1a6972e5e6)
  - site_page: https://docs.openclaw.ai/ (fetched 2026-08-29T08:02:16.992704+00:00, sha 31c89f742fea)
  - site_page: https://docs.openclaw.ai/getting-started (fetched 2026-08-29T08:02:16.997655+00:00, sha 921cdaa1db42)
  - site_page: https://docs.openclaw.ai/start/showcase (fetched 2026-08-29T08:02:16.999488+00:00, sha 29d51cfd1d85)
  - site_page: https://docs.openclaw.ai (fetched 2026-08-29T08:02:17.001517+00:00, sha 31c89f742fea)
  - site_page: https://openclaw.ai/integrations (fetched 2026-08-29T08:02:16.990335+00:00, sha 5297e0281d93)
  - site_page: https://openclaw.ai/blog/extended-stable-releases-and-maturity-scorecards (fetched 2026-08-29T08:02:16.995484+00:00, sha aad0580d0b31)
- Data as of 2026-08-30T08:39:29.467469+00:00.