Lotor now records every step an agent takes on your machine, down to the reasoning behind it. You can replay a run, or start at the result and walk it back to see what actually worked and what was a dead end. Then you share it as a signed cartridge and only show what you choose. It’s for anyone using agents to reverse engineer software or build on someone else’s work who needs to show how it got done.

Lotor is load-bearing memory for AI agents. Every session leaves a signed, hash-chained receipt on your machine, and the record is the agent: swap the model, the memory survives. Lose the record, and no model can bring it back. High-risk actions stop for a passphrase only you know. The key is never on disk. You hold the record, not the vendor. The agent can act, but it cannot sign and is witnessed by a triad ledger model.