Memory Mastery

What This Skill Does

Memory Mastery by koatora20 introduces a robust, multi-layered memory architecture designed to solve the persistent context limitation inherent in stateless AI agents. It operates through three specific layers: L1 (Daily Logs), which acts as a chronological ledger for every interaction; L2 (Long-Term Memory), a refined MEMORY.md file for storing permanent, high-value insights; and L3 (Vector Search), which enables semantic retrieval via the memory-core plugin. By bridging the gap between raw data and curated knowledge, the skill ensures your OpenClaw agent evolves over time, retaining preferences, project milestones, and previous decisions without the need for repetitive briefing.

Installation

Before installation, ensure your OpenClaw workspace is properly initialized and you have write permissions. Run the command bash scripts/audit.sh to assess your current filesystem state and verify if the memory directory or files exist. To install, use the command: clawhub install openclaw/skills/skills/koatora20/memory-mastery. The installation process will automatically generate the required memory/ directory, create a MEMORY.md template, and append essential maintenance tasks to your HEARTBEAT.md file. Always back up your existing workspace before running the installer.

Use Cases

• Project Continuity: Ideal for long-term development tasks where context regarding architecture and past bugs needs to be preserved across weeks or months of work.
• Personalized Assistance: Perfect for agents managing personal schedules or preferences, ensuring they recall favorite communication styles or specific formatting requirements.
• Reflective Analysis: Useful for users who want to review past daily logs to track progress or identify patterns in agent behavior over time.

Example Prompts

1. "Look through the memory logs and summarize my last three project meetings regarding the API refactor."
2. "Update my long-term memory to include my preference for concise, bulleted responses in technical discussions."
3. "Search my past memories to find the notes I took on the database schema optimization strategy from last month."

Tips & Limitations

Memory Mastery is a powerful tool, but it requires maintenance. To avoid "MEMORY.md bloat," regularly prune irrelevant information during your weekly review. Remember that L3 vector search may incur costs depending on your chosen embedding API provider. Always use the provided diagnostic tools to ensure your files remain within manageable sizes, and rely on the automatic prompt triggers to flush temporary memory into permanent storage before it is lost during session compaction.