macrodata-dreamtime

Automated nightly reflection runs during idle dreamtime to analyze recent activity, update memory state, and identify behavior patterns. It distills learnings into journals and topics to improve long-term self-understanding without manual input.

Memory distillation processes recent journals and workspace context to extract recurring patterns and summarize takeaways. It updates memory state by integrating insights across identity, preferences, and topics during idle periods.

Yes, automated memory state updates run using built-in memory tools with no external dependencies. The process safely distills learnings and recognizes patterns across sessions when the user is idle.

Cross-session consistency integrates insights across identity.md, human.md, today.md, workspace.md, and topics. This strengthens memory by synthesizing recent decisions and activity into a unified behavioral profile.

Use automated nightly reflection when you need to review daily decisions and refine behavior for tomorrow without manual journaling. It is ideal for maintaining long-term memory consistency and recognizing recurring behavioral patterns.

No, pattern recognition runs automatically during dreamtime when the user is idle, requiring no manual prompts. It identifies recurring patterns from recent conversations and activity to update journals and topics safely.