This paper investigates how Large Language Model (LLM) agents can use a file system to store and organize their memories, and whether this approach improves their performance. Practitioners might care because it shows that using a file system as memory can be beneficial for LLM agents, but there are limitations to this approach.
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Rebecca Hinds, Head of the Work AI Institute at Glean, discusses findings from the Work AI Index 2026 report, revealing a paradox: while 87% of workers use AI, saving 13 hours weekly, only 13% report significant organizational improvement. …