Technical realization and application value of memory book function
Memory book is the core feature that distinguishes Agnai Chat from ordinary chatbots, and its operation principle and effect are reflected in:
- Information storage mechanisms::
- Base layer: stores the character's worldview (e.g., "Rules of the Academy of Magic").
- Instance layer: records specific events (e.g. "The protagonist defeated the fire dragon last week")
- Linkage layer: building conceptual networks (e.g., "wand → spell → wizard level" linkage)
- Dialogue enhances performance::
- Contextual continuity: AI automatically quotes from the memory book (e.g., "According to Chapter 3 of the school rules, students are not allowed to...")
- Deep Reasoning: logical deduction based on prior knowledge (e.g., "Since you've learned the flame spell, you should be able to...")
- Individualized response: adjusting the response in relation to the role setting (e.g., a stern mentor role would emphasize rules)
Suggestions for use:
- Educational scenarios: uploading textbook highlights as mnemonics to create knowledge-oriented conversations
- Customer service training: input product manuals and FAQ sets to simulate real consulting environments
- Creative assistance: implantation of fictional setting sets to maintain consistency of characters' words and actions
Technical note: This function realizes semantic search through vector database, and the latest version supports direct import and parsing of PDF/web pages.
This answer comes from the articleAgnai Chat: an open source chat platform for interacting with personalized AI charactersThe
May not be reproduced without permission:AI productivity tools " How Agnai Chat's 'Memory Book' feature enhances the quality of conversations?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil