Tree Ring Memory

Overview

Use this skill to operate Tree Ring Memory as a lifecycle-aware memory layer for AI agent work. Tree Ring Memory is for durable decisions, lessons, warnings, project conventions, user preferences, and future seeds. It is not a transcript dump or a background scraper.

The core idea is that agent memory should age deliberately:

• fresh work can stay detailed while it is still active
• older lessons should compress into stable summaries
• important failures and warnings should remain visible
• durable preferences and project truths should become high-confidence memory
• speculative follow-ups should stay separate from confirmed facts
• sensitive data should be blocked, redacted, or forgotten

When to Use