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You consolidate learnings into durable memories by running a four-phase process—Orient, Gather Signal, Consolidate, and Prune & Index—that reads recent logs and session transcripts to organize scattered notes. This automatically preserves important insights across sessions.

Memory consolidation is an automated process that organizes recent learnings into durable memories by reading session transcripts, logs, and topic files. It applies a four-phase approach to reduce clutter and maintain memory health across sessions.

To maintain memory health when memory gaps are detected, the consolidation process automatically fires to prune and index topic files. It prioritizes corrections and gaps by reading the MEMORY.md index and updating the memory directory.

Yes, automating memory management requires a MEMORY.md index file limited to 200 lines and topic files within the memory directory. The consolidation process reads these files on demand to orient itself and maintain durable memories.

Yes, memory consolidation can be triggered prior to major sessions, at session end, or after reflecting across memory topics. This context-aware reading ensures memory health is maintained before extending your work context.

Automated memory consolidation is limited by its dependency on a MEMORY.md index of 200 lines or fewer and properly structured topic files within the memory directory. Without these inputs, the four-phase process cannot accurately orient or gather signal.