auto-memory-curation
Automatically analyzes messages for important information and stores it in the right memory files. Runs silently on every message. Filters noise, captures meaningful content. Use when you want passive memory building without manual "remember this" commands.
Why use this skill?
Automate your AI memory building with the auto-memory-curation skill for OpenClaw. Silently capture preferences, project decisions, and insights.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/init-v/auto-memory-curationWhat This Skill Does
The auto-memory-curation skill serves as the intelligent backbone for maintaining user context within OpenClaw. It functions as a background processor that monitors every interaction, effectively filtering out conversational noise while identifying high-value data. Instead of relying on manual commands to "remember this," the agent autonomously parses incoming messages to detect facts, preferences, decisions, and future goals. Once identified, it routes this data into specific, structured markdown files, ensuring that your long-term memory remains organized and accessible for future sessions.
Installation
To integrate this capability into your OpenClaw environment, use the command-line interface as follows:
clawhub install openclaw/skills/skills/init-v/auto-memory-curation
Once installed, the skill activates immediately on the next message without further configuration, operating silently to maintain your workflow without interruption.
Use Cases
This skill is ideal for power users who want a persistent agent that evolves alongside them. It is perfectly suited for professional project management, where decisions are made iteratively throughout the day. It is also excellent for personal growth tracking—automatically documenting your learning insights, style preferences, and "anti-patterns" (things that didn't work) so you don't repeat mistakes. By automating the documentation process, it ensures that your agent is always aligned with your evolving project goals and specific communication styles.
Example Prompts
- "I've decided that for the backend architecture, we will prioritize PostgreSQL over MongoDB for better relational data integrity."
- "Going forward, please keep your responses under 100 words and focus only on actionable steps."
- "I just learned that debugging CSS grid is much faster if I define the template areas before sizing the child elements."
Tips & Limitations
To maximize the effectiveness of this skill, be as specific as possible when discussing projects or preferences. While the skill is smart, it is designed to ignore trivial greetings, so don't expect it to log standard small talk. It is strictly limited to capturing substantive information. Remember that this skill performs file-write operations to maintain your memory files; ensure you have appropriate storage permissions configured. As a safety measure, avoid sharing sensitive credentials or API keys in your chat, as the skill may categorize them based on its logic; always handle sensitive data separately.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-init-v-auto-memory-curation": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read