edict

Edict is an OpenClaw-based multi-agent orchestration system that routes tasks through a structured approval/dispatch workflow (modeled as “three provinces and six ministries”) and provides a real-time dashboard/kanban with sessions, memorials (archive), model configuration, skills management (including remote skills), and controls to pause/cancel/resume tasks.

Evaluated Mar 29, 2026 (24d ago)
Homepage ↗ Repo ↗ Ai Ml ai-agents ai-orchestration multi-agent dashboard kanban audit-trails python react openclaw skills-management
⚙ Agent Friendliness
44
/ 100
Can an agent use this?
🔒 Security
49
/ 100
Is it safe for agents?
⚡ Reliability
30
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
60
Error Messages
0
Auth Simplicity
70
Rate Limits
0

🔒 Security

TLS Enforcement
50
Auth Strength
45
Scope Granularity
30
Dep. Hygiene
50
Secret Handling
70

TLS enforcement and security headers are not specified in the provided README content; authentication details for the Edict REST endpoints are not fully described beyond an OpenClaw API key that is synchronized across agents. There is mention of a state transition validator and permission matrix, which can reduce workflow bypass risk, but the provided material does not include threat-modeling, rate limiting, input sanitization details, or secure defaults for remote skill loading.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
30
Error Recovery
50
AF Security Reliability

Best When

You want a structured, observable multi-agent workflow with human/operator controls and an approval stage before execution, and you can run the local dashboard + OpenClaw gateway.

Avoid When

You need standardized enterprise APIs (OpenAPI/SDKs) or strong, explicitly documented security boundaries and SLAs; or you plan to integrate primarily via MCP/SDK rather than the provided HTTP endpoints and scripts.

Use Cases

  • Building auditable, multi-step AI agent workflows with approval gates
  • Task orchestration with real-time operational visibility (kanban, timeline, session monitoring)
  • Agent-to-agent governance patterns (permissions matrix, protected state transitions)
  • Programmatic or semi-automated skill/tool injection for specialized agents
  • Prototype and demonstrate multi-agent systems with UI + operator controls

Not For

  • High-assurance security environments without additional review and hardening
  • Production deployments that require formal SLAs, strong backwards-compatibility guarantees, and explicit API contracts
  • Use cases needing managed cloud-native reliability features (managed queues, retries, idempotency guarantees) out of the box
  • Teams that cannot run/operate an LLM gateway and dashboard server

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: API key (described as OpenClaw agent API key synchronized to agents)
OAuth: No Scopes: No

README indicates an API key must be configured (e.g., `openclaw agents add taizi`) and then synchronized to agents. The Edict REST endpoints are shown via curl examples but explicit details about auth requirements per endpoint, header names, and scope granularity are not provided in the provided content.

Pricing

Free tier: No
Requires CC: No

Licensing is MIT and usage appears self-hosted; README does not describe any hosted pricing or credit-based billing.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • First installation requires configuring an API key and re-running install to sync it to all agents.
  • Docker image may fail with 'exec format error' on mismatched architecture; platform override may be needed.

Alternatives

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Scores are editorial opinions as of 2026-03-29.

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