OCG-Industries Showcase · Cluster ④ AI Agents and Autonomous Systems
When an agent does something surprising, the useful question is which policy and which remembered state produced it. This tool derives a memory descriptor that stamps both, and flags a decision whose policy ancestor is missing. Same policy, same memory state, same decision label gives the same descriptor, so a decision log can be re-derived rather than trusted.
Data: no external data
Clear the policy fingerprint field and run again to see the orphan case. This is a decision log you can re-derive. It says nothing about model internals, weights, or why the model chose what it chose; it records what the operator declared was in force at decision time.