Mem0 currently handles outdated or irrelevant memories by:

1. Automatically deprioritizing older memories when new, contradictory information is added. 2. Adjusting memory relevance based on changing contexts.

We're working on improving this system to give developers more control. Future plans include:

1. Time-based decay of unused memories 2. Customizable relevance scoring 3. Manual removal options for obsolete information

These improvements aim to create a more flexible "forgetting" mechanism, allowing AI applications to maintain up-to-date and relevant knowledge bases over time.

We're open to user feedback on how to best implement these features in practical applications.