New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal.

To solve this, researchers at the National University of Singapore developed , a graph-based agentic memory framework, and MemoryOS, a hierarchical memory framework. Other persistent memory frameworks include LangMem and .