Durable Execution
What is an agentic workflow?

An agentic workflow is a workflow where an AI agent participates in planning, decision-making, or tool use rather than only following a fixed script. The agent may inspect context, decide which tool to call, evaluate results, and choose the next step. This makes agentic workflows powerful, but also harder to operate because the path may vary from run to run. In production, teams need to wrap agentic behavior in durable execution, security policy, and observability. Diagrid Catalyst is positioned for that production wrapper, while the agent framework still handles reasoning.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- 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.