What problem does it solve?
Performs periodic maintenance and cleanup of a rekal memory database to surface duplicates, contradictions, stale conversations, and low-quality memories so the user can approve corrective actions without risking automatic deletions or modifications.
Core Features & Use Cases
- Conflict detection and resolution proposals: Finds contradictory memories, classifies conflict types, and proposes supersede, keep-both, or link/remove actions for user approval.
- Duplicate clustering and consolidation: Groups topic clusters, identifies the most complete version, and proposes superseding redundant entries while preserving history.
- Stale conversation and quality audits: Flags empty or old conversations, short or mis-typed memories, and suggests updates, supersedes, or deletions subject to explicit consent.
- Safe, user-approved execution: Never auto-deletes or auto-modifies; presents a consolidated action plan and executes only after explicit user approval. Scales by prioritizing high-impact items for large databases.
Quick Start
Run rekal-hygiene to scan the memory database for duplicates, conflicts, stale conversations, and quality issues, then present a proposed action plan for your approval.