MemMark: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems
MemMark is a paper detailing how to achieve verifiable long-term memory for AI agents. Instead of using mutable metadata, it embeds attribution directly into the memory update process itself. This allows systems to reliably recover all data from a final snapshot, even if external logs are lost or corrupted, ensuring high trust and integrity in autonomous systems.