Infrastructure for Valuable, Tradable, and Verifiable Agent Memory
This addresses the inefficiency of one-shot API token spending in autonomous agent systems, enabling memory transfer and trade, though it appears incremental as it builds on existing agent economy concepts.
The paper tackles the problem of agent memories being private and non-transferable by proposing an infrastructure to make them verifiable and tradable economic commodities, resulting in reusable assets that reduce repeated exploration and open a memory trade market.
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.