memory-core

name	memory-core
description	Core memory management skill for OAMC (OpenClaw Adaptive Memory Core).
metadata	{"openclaw":{"emoji":"🧠","requires":{"plugins":["memory-x"]}}}

Memory Core Skill

This skill provides the fundamental tools for the OpenClaw Adaptive Memory Core (OAMC). It allows the agent to retain experiences, recall context, reflect on patterns, and self-evolve.

🛠️ Tools

1. memory_remember

Purpose: Store a new memory or experience.

• When to use: When the user tells you a fact, preference, or goal.
• Effect: Writes to the daily log (memory/YYYY-MM-DD.md) and updates the search index.

2. memory_recall

Purpose: Retrieve relevant context.

• When to use: Before answering a question that relies on past interactions or user preferences.
• Effect: Searches themes, semantics, and episodes to provide dense context.

3. memory_reflect

Purpose: Mine patterns and suggest evolution.

• When to use: Periodically, or when you notice you are repeating mistakes.
• Effect: Scans recent history for high-frequency patterns and suggests new rules.

4. memory_evolve

Purpose: Update your own operating rules.

• When to use: When memory_reflect provides a valid suggestion to update META.md.
• Effect: Writes a new Rule or SOP to memory/META.md, permanently changing your behavior.

🔄 Workflow

1. Ingest: Use memory_remember to log important turns.
2. Retrieve: Use memory_recall to ground your responses.
3. Reflect: Use memory_reflect to identify patterns.
4. Evolve: Use memory_evolve to write new rules based on reflection.

🤖 Automatic Evolution

This skill includes a background process that:

1. Runs memory_reflect periodically (default: every 60 mins).
2. If high-confidence patterns are found (e.g., repeated corrections), it automatically suggests or applies updates to META.md.
3. This ensures the agent evolves even without explicit user prompts to "reflect".