Infrastructure for Valuable, Tradable, and Verifiable Agent Memory

2026-03-25

AI Summary

This work addresses the lack of verifiability, tradability, and reusability in current autonomous agent-generated memories, which hinders their recognition as intellectual property and limits their economic value. To overcome this, the paper introduces a novel assetization framework that treats agent memories as economic assets by integrating computational provenance binding (ClawGang) with a memory trading marketplace (MeowTrade). This mechanism endows memories with verifiability, effort-based endorsement, and contextual compatibility, enabling authenticated generation via API calls, immediate transfer, and seamless circulation. The proposed approach significantly reduces redundant exploration and, for the first time, realizes a functional market for trading agent memories, establishing a new paradigm for capturing and realizing their intrinsic value.

Technology Category

• Multiagent Systems: Mechanism Design
• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust

Application Category

• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Responsible Web: Machine-in-the-loop, human agency and autonomy

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.

Problem

• agent memory
• verifiability
• tradable assets
• computational provenance
• memory economy

Innovation

• agent memory
• computational provenance
• verifiable assets
• memory marketplace
• AI economy