Semantic XPath: Structured Agentic Memory Access for Conversational AI

Researchers have developed Semantic XPath, a tree-structured memory system for conversational AI that improves performance by 176.7% over traditional methods while using only 9.1% of the tokens. The system addresses scalability issues in long-term AI conversations by efficiently accessing and updating structured memory instead of appending growing conversation history.