Active memory reconstruction for AI agents

Researchers at the National University of Singapore developed MRAgent, a framework that replaces passive retrieval with active memory reconstruction. MRAgent integrates memory into the LLM's reasoning process, achieving up to a 23% performance improvement on complex tasks. It reduces prompt token consumption from 632k to 118k tokens.