Agent Frameworks Integration
How do I split responsibilities between my agent framework and durable execution layer?
The clear responsibility split between your production AI agent framework and Catalyst’s durable execution layer follows intentional operational boundaries. Your agent framework retains core agent behavior, prompt logic, and tool calling, while Catalyst, built on CNCF-backed Dapr, integrates seamlessly with your existing tooling to manage checkpoints, state persistence, and retry guardrails without modifying your existing agent codebase. Only framework-specific transient errors, not general platform issues, require explicit retry configuration through Catalyst.
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- Agent Frameworks Integration
How does Catalyst manage checkpointing for production agent workflows?
Diagrid Catalyst’s checkpointing for production AI agent workflows uses Dapr’s storage to persist critical state, tool results, and conversation history.
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Can I add durable execution without rewriting my existing agent code?
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