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Sometimes, a single conversation results in multiple fragmented memories due to backend latency or system behavior. This can make it difficult to follow the full context of a discussion.
A solution would be to allow users to select multiple memories and manually combine them into a single entry. This would merge the transcripts and retrigger memory creation, producing a more cohesive summary.
Challenges
Multiple memories from a single conversation can clutter the list and cause context fragmentation.
No way to merge related memories that should belong to the same event.
Loss of clarity when reviewing past conversations due to unnecessary separation of memory entries.
Proposed Enhancements
1. Manual Memory Combination
Allow users to select 2 or more memories and flag them as being part of the same conversation.
The app combines the transcripts and generates a new summary.
2. Memory Linking & Visibility
Indicate that a memory is a combined entry (e.g., using an ℹ️ icon at the end of the memory headline).
Link to the original memories so users can still reference them.
Under default view, hide the original memories after merging.
In "Show All" mode, display original memories in case users need to revert changes.
3. Status Updates for Merged Memories
When two memories are combined:
Option 1: Keep original memories but flag them as "discarded."
Option 2: Move original memories to a secondary list while keeping the new combined memory as the primary view.
User Flow
Select Memories → Users choose two or more memories.
Combine → The system merges transcripts and regenerates a summary.
Update UI → Original memories are hidden (or moved to "discarded" status), and the new merged memory appears in the main view.
Benefits
✅ Provides better organization by reducing memory fragmentation.
✅ Ensures that conversations remain contextually intact.
✅ Gives users more control over how memories are structured.
✅ Allows for reversibility by keeping links to original memories.
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