Persistent AI Memory provides a complete solution:
- Using the SQLite database: all conversation records, memory content and tool call logs are persistently stored in a local SQLite database
- Support for semantic search: The embedding technology of LM Studio enables semantic retrieval of stored content to find relevant memories rather than simple keyword matching
- Real-time monitoring function: The system automatically captures exported conversation files such as ChatGPT via watchdog for automated storage.
- Multiple mounting optionsThe system provides one-click installation script (support Linux/macOS/Windows), pip installation and manual installation in three ways, adapting to the needs of different users
After installation, developers only need a few lines of code to realize memory storage and retrieval, which greatly enhances the application value of AI assistants.
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 solve the lack of persistent memory storage for AI assistants?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil