MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing
Memory is a fundamental component for long-context LLM agents, supporting persistent state across interactions through a continuous serve-and-update lifecycle. Despite substantial prior work, many stateful systems retain sequential autoregressive extraction or state-dependent maintenance on the write path, delaying when new evidence becomes queryable. To address these challenges, we present MemForest, a memory framework that reformulates agent memory as a write-efficient temporal data-management problem. MemForest breaks the sequential bottleneck via parallel extraction, decoupling memory construction into concurrent, independent operations. We further introduce MemTree, a hierarchical te...
| Authors | Han Chen, Zining Zhang, Wenqi Pei et al. |
|---|---|
| Primary category | cs.DB |
| Published | 16 May 2026 |
| Last updated at source | 6 September 2026 |
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