Infrastructure for Valuable, Tradable, and Verifiable Agent Memory
2026-03-25 • Cryptography and Security
Cryptography and SecurityComputers and Society
AI summaryⓘ
The authors explain that when autonomous agents use AI models and tools, they create memories that represent valuable work. Currently, these memories are private and can’t be shared or sold because their value can't be verified. The authors propose a system called clawgang to link these memories to proof of how they were made, and another system called meowtrade to create a marketplace for buying and selling these memories. This approach could let people reuse and trade their AI-generated knowledge instead of starting from scratch each time.
API tokensautonomous agentscomputational provenanceagent memoryintellectual propertymarketplacememory artifactsverificationreusabilitymemory trade
Authors
Mengyuan Li, Lei Gao, Haoxuan Xu, Jiate Li, Potung Yu, Lingke Cheng, Yue Zhao, Murali Annavaram
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 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.