Hermes Learning Loop for OpenClaw

Inspired by: NousResearch/hermes-agent (Self-improving AI agent)

Implements Hermes Agent's core learning loop in OpenClaw — automatically extracts successful workflows, creates reusable skills, and persists curated knowledge across sessions.

When to Use

• After completing complex multi-step tasks
• When you discover a workflow worth repeating
• Automatically via heartbeat (periodic nudge)
• When user says "remember this" or "save this workflow"

Features

• Periodic Nudge — Auto-reflect every N tasks (default: 5)
• Skill Extraction — Convert successful workflows to reusable skills
• 4-Layer Memory — Prompt memory + Session search + Skills + User modeling
• Curated Memory — Agent decides what's worth keeping (not logging everything)