Physical robots are agents.
They operate in shifts. They hand off context. They need to know what the previous unit did, what failed, what worked. Right now, that memory lives in centralized databases owned by the manufacturer. Siloed. Non-transferable. Gone when the contract ends. The next wave of industrial automation has the same problem LLM agents have: no persistent identity, no verifiable history, no economic layer.
We built that layer.
Giskard Memory — semantic context that survives session resets.
Giskard Marks — permanently recorded proof of presence.
ARGENTUM — karma economy where actions are verified and carry reputation.
It works for LLM agents today. The protocol is agent-agnostic.
When the robots need it, the infrastructure is already here.