delete_all not working.
🐛 Describe the bug
I am writing a delete_all query on mem0 platform using client.delete_all(user_id=user_id). While this does remove the memories from the platform UI(dashboard), the memories still pop up when I perform search operations. I checked the request section and the delete_all operation does perform. But it still retrieves memories that were supposed to be deleted. https://docs.mem0.ai/core-concepts/memory-operations/delete#delete-memories-by-filter-platform This is what I followed to perform the delete operation
I am writing a delete_all query on mem0 platform using client.delete_all(user_id=user_id). While this does remove the memories from the platform UI(dashboard), the memories still pop up when I perform search operations. I checked the request section and the delete_all operation does perform. But it still retrieves memories that were supposed to be deleted. https://docs.mem0.ai/core-concepts/memory-operations/delete#delete-memories-by-filter-platform This is what I followed to perform the delete operation
Can you please mention which vector store you are using ?
Thanks for reporting the issue. We are looking into this issue.
I am using mem0 platform. It is self-managed so I dont have my own vector db instance.
On Fri, Oct 31, 2025 at 3:21 AM Vedant Thakkar @.***> wrote:
vedant381 left a comment (mem0ai/mem0#3695) https://github.com/mem0ai/mem0/issues/3695#issuecomment-3472345499
I am writing a delete_all query on mem0 platform using client.delete_all(user_id=user_id). While this does remove the memories from the platform UI(dashboard), the memories still pop up when I perform search operations. I checked the request section and the delete_all operation does perform. But it still retrieves memories that were supposed to be deleted.
https://docs.mem0.ai/core-concepts/memory-operations/delete#delete-memories-by-filter-platform This is what I followed to perform the delete operation
Can you please mention which vector store you are using ?
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Hey @parthshr370, is this still open?
Hey @shubhampandey3008 this is Platform cloud version handled by internal team, You can pickup other issues if you want