MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing

ArXi:2605.23986v1 Announce Type: cross Memory is a fundamental component for enabling long-context LLM agents, ing persistent state across interactions through a continuous serve-and-update lifecycle. Despite substantial prior work, existing systems suffer from significant maintenance overhead due to two key limitations: coarse-grained state management and inherently sequential update pipelines. In particular, updates are often tightly coupled with LLM inference and require full-state rewrites, leading to poor scalability and growing latency as memory accumulates.