Durable Execution
What is the best platform type for AI agents in production?
The best platform type for production AI agents depends on the team's risk profile, architecture, and governance needs. Early experiments may only need a framework plus lightweight tooling. Enterprise production agents usually need a platform layer for durable execution, identity, policy, observability, and deployment control. Teams with hybrid or multi-cloud infrastructure should also consider data residency, self-hosting, and open standards. Diagrid Catalyst fits the category of a production AI agent platform: it does not replace agent frameworks, but adds reliability, security, and governance around agents and MCP servers running in real environments.
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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.