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Infrastructure for Valuable, Tradable, and Verifiable Agent Memory

arXiv Security Archived Mar 26, 2026 ✓ Full text saved

arXiv:2603.24564v1 Announce Type: new Abstract: Every API token you spend is your accumulated wealth; once you can prove its value and the effort behind it, you can resell it. As autonomous agents repeatedly call models and tools, they accumulate memories that are your intellectual property. But today these memories remain private and non-transferable, as there is no way to validate their value. We argue that agent memory can serve as an economic commodity in the agent economy, if buyers can ver

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    Computer Science > Cryptography and Security [Submitted on 25 Mar 2026] Infrastructure for Valuable, Tradable, and Verifiable Agent Memory Mengyuan Li, Lei Gao, Haoxuan Xu, Jiate Li, Potung Yu, Lingke Cheng, Yue Zhao, Murali Annavaram Every API token you spend is your accumulated wealth; once you can prove its value and the effort behind it, you can resell it. As autonomous agents repeatedly call models and tools, they accumulate memories that are your intellectual property. But today these memories remain private and non-transferable, as there is no way to validate their value. We argue that agent memory can serve as an economic commodity in the agent economy, if buyers can verify that it is authentic, effort-backed, and produced in a compatible execution context. To realize this idea, we propose clawgang, which binds memory to verifiable computational provenance, and meowtrade, a market layer for listing, transferring, and governing certified memory artifacts. Together, they transform one-shot API token spending into reusable and tradable assets, enabling timely memory transfer, reducing repeated exploration, and opening a memory trade market. Subjects: Cryptography and Security (cs.CR); Computers and Society (cs.CY) Cite as: arXiv:2603.24564 [cs.CR]   (or arXiv:2603.24564v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2603.24564 Focus to learn more Submission history From: Mengyuan Li [view email] [v1] Wed, 25 Mar 2026 17:43:47 UTC (936 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-03 Change to browse by: cs cs.CY References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation 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?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
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    ◬ AI & Machine Learning
    Published
    Mar 26, 2026
    Archived
    Mar 26, 2026
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