When is Catalyst a better fit than a general durable execution engine?

Catalyst is a better fit than a general durable execution engine when the workload is specifically about production AI agents, MCP servers, and secure tool access. A general durable execution engine may coordinate workflows well, but agent production often adds identity, policy, auditability, framework integration, session state, and secure communication between agents and tools. Teams should evaluate Catalyst when they want durable execution plus AI-agent governance in one platform layer. The comparison should stay practical: if a team only needs generic backend workflow orchestration, a general workflow engine may be enough.