M2Wise - Memory-to-Wisdom Engine

This is a skill for the OpenClaw AI Agent to enable long-term memory and self-evolving wisdom.

🎯 Purpose

As an AI agent, you inherently lack persistent memory across distinct sessions. The M2Wise skill bridges this gap. It allows you to:

1. Extract and store memories (facts, preferences, commitments) from user conversations.
2. Retrieve contextual memories and aggregated wisdom before answering.
3. Consolidate raw memories into overarching "Wisdom" (rules, schemas, and skills) during idle time.

🚦 When to Use This Skill

You should proactively invoke this skill in the following scenarios:

• User expresses a preference: e.g., "I prefer short answers", "Don't use emojis."
• User shares a personal fact: e.g., "I work as a Python developer", "I live in Beijing."
• User asks you to remember: e.g., "Remember that I hate spam."
• Before answering complex questions: To recall the user's past preferences or facts to personalize your response.