Durable Execution
Is a workflow engine the same as an AI agent platform?

A workflow engine and an AI agent platform are related, but they are not the same. A workflow engine focuses on running and coordinating steps. An AI agent platform needs additional capabilities around agent runtime behavior, tool access, identity, policy, state, observability, and production deployment. For example, an agent may need to call MCP tools, communicate with other agents, maintain session state, and prove what happened during a run. Diagrid avoids positioning Catalyst as only a workflow engine; the stronger framing is a platform for making AI agents and MCP servers durable, secure, and governable in production.
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- Durable Execution
What is durable execution in AI agent workflows?
Durable execution means an AI agent workflow can keep its progress even when a process crashes, a tool call fails, or the system restarts.
- Durable Execution
Why do production AI agents need durable workflows?
Production AI agents need durable workflows because real agent tasks rarely finish in a single clean request.
- Durable Execution
Is checkpointing enough for production AI agents?
Checkpointing helps, but it is usually not enough by itself for production AI agents. It explains the production reliability impact for AI agent workflows.