What problem does it solve?
It prevents your memory index from drifting out of date by consolidating overlapping and stale memory files so future sessions can quickly understand the user, priorities, and working preferences without re-asking.
Core Features & Use Cases
- Duplicate and overlap merging: Combines memory topics that describe the same person, project, or preference.
- Stale-pruning and durable retention: Separates durable preferences and relationships from dated, already-finished tasks and deadlines.
- Time reference normalization: Converts relative time phrases into absolute dates so the memories remain readable long-term.
- Index cleanup with size constraints: Rewrites
MEMORY.md to stay under 200 lines and ~25KB with compact one-line entries.
Quick Start
Ask the AI to run the Memory Consolidation workflow by reviewing MEMORY.md, scanning each topic file for overlap or staleness, then merging, updating dates, pruning, and finally rewriting the index under the specified limits.