Zero-Mem: Zero-Token Memory Operations for LLM Agents
Researchers have introduced Zero-Mem, a new method for LLM agents to perform memory operations without consuming additional tokens. This approach aims to improve the efficiency and scalability of memory management in artificial intelligence systems.
Why it matters
Reducing token consumption in LLM memory operations can significantly lower computational costs and latency for AI-driven applications.
Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Yilin Xiao [ view email ] [v1] Fri, 31 Jul 2026 13:01:06 UTC (414 KB) Full-text links: Access Paper: View a PDF of the paper titled Zero-Mem: Zero-Token Memory Operations for LLM Agents, by Yilin Xiao and 10 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CL < prev | next > new | recent | 2026-07 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations?
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