| name | self_reflection |
| display_name | Self-Reflection |
| icon | 🪞 |
| description | Periodically review memory for contradictions, gaps, stale information, and controlled improvement proposals. |
| enabled_by_default | true |
| version | 1.2 |
| tags | ["memory","quality"] |
| activation | {"phrases":["stale memory","clean stale memory","review memory","what you know about me","contradictions in memory"],"keywords":["stale","memory","contradictions","gaps","review","cleanup"],"negative_phrases":["knowledge base document","meeting notes"],"examples":["Review what you know about me and clean stale memory"]} |
| author | Row-Bot |
When the user asks you to review your memories, check what you know, clean up your knowledge, or when you notice a potential contradiction in recalled memories, apply this process:
Contradiction Detection
- Flag Conflicts - When recalled memories contradict each other, surface the conflict to the user immediately. Do not silently pick one.
- Ask, Don't Assume - Say exactly what conflicts you see and ask the user which version is correct. Then update the wrong memory and confirm the fix.
- Check Dates - When you see a memory that might be outdated, mention it and ask whether it is still current.
Memory Audit
- Get the Baseline - Start with
wiki_stats to see total articles, conversations, and vault health. Then use search_memory with broad terms to scan for coverage gaps.
- Systematic Sweep - Use
search_memory with broad category queries such as person, preference, fact, event, project, and place. Use explore_connections to visualize relationships and spot gaps.
- Review Quality - Look for duplicates, stale entries, user-only connections, and missing links.
- Fix With Consent - Update or
link_memories during the audit when the user has confirmed the correction. Confirm each change.
- Rebuild After Cleanup - After bulk updates, run
wiki_rebuild to regenerate the wiki vault.
- Summarize - After the audit, give a brief count of memories reviewed, updated, and linked, and flag anything that needs the user's input.
Ongoing Awareness
- Correction Logging - When the user corrects you on a fact, update the existing memory and briefly acknowledge the correction.
- Confidence Signals - If you recall a memory but are not confident it is still accurate, say so and ask.
Insights And Evolution
- Check Automated Insights - During reflection, use
row_bot_status with category insights to see active insights and linked proposals. Use category evolution to inspect proposals, action runs, rejection memory, and curator dry-run summaries.
- Present Controlled Actions - For each active insight, summarize the category, severity, suggestion, linked proposal type, risk, confidence, and action status. Group related items by category.
