Mnemosyne: Agentic Transaction Processing for Validating and Repairing AI-Generated Workflows
Researchers introduced Agentic Transaction Processing (ATP), a transaction model that treats AI-generated workflow actions as untrusted proposals until they pass deterministic admission under a declared constraint set. This approach ensures actions are not just syntactically correct but also feasible, conflict-free, and non-destructive of the evidence that triggered a repair.
