Dialog Status Management Program
MemOS ensures long dialog consistency through the following mechanisms:
- dialog slice (computing): Using sliding window technology, new conversation branches are automatically created every 20 rounds of conversation
Configuration parameters:mag.set_config(max_turns=20, overlap=3) - conflict detection: Trigger version control mechanisms when new memories contradict existing memories
Example processing flow:- The system detects that the user says "no sweets" but it conflicts with the previous "likes chocolate".
- Automatically generate a confirmation query, "You previously mentioned liking chocolate, has the preference changed?"
- human intervention: Force memory correction through the Governance API:
mag.override_memory(user_id, memory_id, new_content, reason="用户明确更新偏好")
best practice: Recommended to run monthlymemory_gc()Perform memory defragmentation, which can be set as a timed task via crontab.
This answer comes from the articleMemOS: An Open Source System for Enhancing the Memory Capacity of Large Language ModelsThe
May not be reproduced without permission:AI productivity tools " How to avoid the problem of memory confusion in long conversations with large language models?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil