Memory Core

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".

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