Persistent AI Memory provides a complete solution for conversation management:
- Multi-dimensional storage: Use
store_conversationThe function differentiates between storing user questions and AI answers, preserving the full context of the conversation - batch search: By
get_conversation_historyAccess to the last 100 conversation records (number adjustable) - Precision Search: Use
search_conversationsAbility to find conversations on specific topics based on semantics - automatic monitoring: After setting the monitor path for the exported dialog file (
start_conversation_monitoring), the system automatically captures new conversations
This system is particularly suitable for developers to analyze the performance of AI assistants in different scenarios and provide data support for model optimization.
This answer comes from the articlePersistent AI Memory: Persistent Local Memory Storage for AI AssistantsThe
May not be reproduced without permission:AI productivity tools " How to achieve efficient retrieval and analysis of AI conversation history?
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