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Matching papers

Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability

9 upvotes · 29 JUL 2026 · Sizhe Zhou, Sheldon Yu, Hui Wei et al.

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.

continual learningfile-based memoryLLM agentsorganizational designmemory retrieval

OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding

7 upvotes · 29 JUL 2026 · Jingbo Zhou, Yusai Zhao, Qi Bao et al.

This paper introduces a benchmark to evaluate large language model (LLM) agents on long-horizon office-suite tasks, considering their cost-effectiveness and quality. Practitioners can care about this research because it aims to ensure LLM agents can assist users efficiently and effectively.

office-suite tasksLLM agentseconomic groundingbenchmarkinghuman labor