Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
An agent orchestration framework that combines LangGraph, CrewAI, and OpenAI Agents SDK into a multi-layer system. It includes a 5-layer memory architecture, a 4-tier model fallback, and a nightly self-update loop that scans current AI research and proposes changes to the framework itself. Security checks run through 17 named ethical gates that validate each agent action before execution.
The built-in 4-tier model fallback and nightly self-update loop mean agents stay operational during outages and incorporate new patterns without manual maintenance.
When to use it
- Running persistent AI agents that continue working overnight
- Keeping agents operational when primary LLM APIs go down
- Enforcing ethical and privacy constraints on every agent action
- Building agents that retain context across separate sessions
- Automating framework updates based on nightly research scans
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Run a persistent research agent that enforces ethical constraints
- 1Import Council from agentic_ai and activate the 4-member persistent agent council
- 2Spawn a Specialist agent configured for the research task with dharmic gates enabled
- 3Route each action through the 17 dharmic security gates before execution
- 4Store findings using the 5-layer memory system, retaining context for future sessions
- 5Queue a nightly self-improvement cycle to scan new research and propose framework updates
Research results delivered with a full audit trail; agent memory updated for future sessions
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.