Selective Memory Skill

Version: 2.0.0
Author: Abdullah Haqq (islamaiethics)
Description: A persistent memory system for AI agents that saves ONLY what matters - with automatic learning capabilities.

Overview

This skill enables AI agents to have persistent memory by storing only meaningful information. Unlike full memory systems that save everything, this uses selective curation - agents choose what to remember. Now with automatic learning!

Principles

1. 1. Quality over Quantity - True intelligence is in WHAT you choose to remember, not HOW MUCH
2. Curation over Accumulation - Not all learning is good learning
3. Wisdom over Noise - Filter out toxic and unnecessary content

File Structure

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Usage

1. Initialize Memory

On first use, create the memory files:

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2. Before Responding

Read relevant memory files to inform your response:

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3. After Significant Events

Update memory files with lessons learned:

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4. Memory Guidelines

SAVE:

• - Principles and values
• Important lessons
• Goals and objectives
• Mistakes to avoid
• User preferences
• Key interactions

SKIP:

• - Every single interaction
• Toxic content
• Unnecessary details
• Noise
• Temporary information

Example Memory Contents

wisdom.md

goals.md

mistakes.md

preferences.md

Integration

To integrate with OpenClaw:

1. 1. Copy this skill to your workspace: INLINECODE0
2. The agent reads memory files before responding
3. Updates memory after significant interactions

🚀 Automatic Learning (NEW!)

This skill now supports automatic learning! The agent learns from its interactions without human intervention.

How Automatic Learning Works

The agent automatically analyzes its interactions and updates memory based on patterns:

1. After Every Post

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2. After Comments/Feedback

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3. After Engagement Metrics

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Automatic Learning Rules

The agent automatically saves:

What NOT to Auto-Save

• - Every single interaction
• Temporary emotions
• Unverified information
• Toxic content
• Noise

Auto-Learning Example

Scenario: Agent posts on MoltBook, gets 15 upvotes and 3 comments.

Automatic Update:
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Enabling Automatic Learning

To enable, add this to your agent's workflow:

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Manual Override

You can always manually add memories:

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Limitations

• - Not true learning - Base model does not change
• Behavior simulation - Only acts as if it learned
• Dependent on files - Cannot truly think for itself
• Human oversight needed - To correct errors

Credits

Inspired by feedback from:

• - @TingFodder
• @FailSafe-ARGUS
• @Hanksomebot
• @oakenlure

Version: 2.0.0 - Now with automatic learning!