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.
✅ 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.
Would love feedback on this! Thanks! 🚀
Please authenticate to join the conversation.
Completed
Feature Requests
About 1 year ago

Salman Mian
Get notified by email when there are changes.
Completed
Feature Requests
About 1 year ago

Salman Mian
Get notified by email when there are changes.