agent-three-layers
CommunityThree-Layer thinking for autonomous AI
AuthorArry8
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Three-Layer Thinking Chain coordinates a persistent, self-evolving agent architecture that keeps an AI agent continuously active and learning by combining perception, decision, and reflection layers.
Core Features & Use Cases
- Autonomous, continuous operation: keeps the agent alive and evolving without user prompts.
- Layered decision making: L0 percepts, L1 decisions, L2 deep evolution with back-ups and learning logs.
- Trigger-based orchestration: cross-layer signals trigger L1/L2 runs; 5D observations guide evolution.
Quick Start
To activate, instantiate the three-layer agent, configure core files, install required skills, and start the cron-backed runners to run L0 every 5 minutes, L1 hourly, and L2 every 4 hours.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent-three-layers Download link: https://github.com/Arry8/openclaw-edge/archive/main.zip#agent-three-layers Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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