Update Docs (#3520)

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Deshraj Yadav
2025-09-30 08:41:36 -07:00
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Memory customization offers several key benefits:
• **Focused Storage**: Store only relevant information for a streamlined system.
• **Improved Accuracy**: Curate memories for more accurate and relevant retrieval.
• **Enhanced Privacy**: Exclude sensitive information for better privacy control.
• **Resource Efficiency**: Optimize storage and processing by keeping only pertinent data.
• **Personalization**: Tailor the experience to individual user preferences.
• **Contextual Relevance**: Improve effectiveness in specialized domains or applications.
- **Focused Storage**: Store only relevant information for a streamlined system.
- **Improved Accuracy**: Curate memories for more accurate and relevant retrieval.
- **Enhanced Privacy**: Exclude sensitive information for better privacy control.
- **Resource Efficiency**: Optimize storage and processing by keeping only pertinent data.
- **Personalization**: Tailor the experience to individual user preferences.
- **Contextual Relevance**: Improve effectiveness in specialized domains or applications.
These benefits allow users to fine-tune their memory systems, creating a more powerful and personalized AI assistant experience.
## Memory Inclusion
Users can define specific kinds of memories to store. This feature enhances memory management by focusing on relevant information, resulting in a more efficient and personalized experience.
Here’s how you can do it:
```python
import os
@@ -69,7 +64,6 @@ User loves playing baseball with friends.
## Memory Exclusion
In addition to specifying what to include, users can also define exclusion rules for their memory management. This feature allows for fine-tuning the memory system by instructing it to omit certain types of information.
Here’s how you can do it:
```python
from mem0 import MemoryClient