The new agent storage framework uses 118K tokens per request. LangMem burns with 3.26M.
Long-term thinking reveals a fundamental weakness in AI agents: context windows fill up quickly, and search pipelines produce noise instead of signal. To solve this, researchers from the National University of Singapore have developed MRAgentframework that rejects static "then take…




