Durable Execution
Where do AWS Step Functions fall short for AI agent orchestration?

AWS Step Functions can be useful for serverless orchestration on AWS, but teams should evaluate whether it fits agentic workloads that need framework flexibility, long-running state, tool governance, identity across agents and MCP servers, and deployment outside one cloud. For organizations committed to AWS-only architecture, it may be a reasonable option. For teams that need open standards, hybrid or self-hosted deployment, or a shared platform across different agent frameworks, a cloud-specific workflow service may be limiting. Diagrid Catalyst is positioned for those cross-framework, secure, durable agent infrastructure requirements.
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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
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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.