Agent Frameworks Integration
Can I run multiple different agent frameworks on the same Catalyst cluster?
You can run multiple distinct production agent frameworks on a single Catalyst cluster without conflicting execution or unintended shared state issues. Catalyst leverages Dapr’s built-in isolation primitives to partition dedicated workflow state and isolated execution contexts for each framework instance, keeping workloads logically and cleanly separated. For strict, granular workload resource separation across mixed workload types, additional cluster tuning may be needed to meet your specific operational requirements.
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- Agent Frameworks Integration
How do I split responsibilities between my agent framework and durable execution layer?
Clarify the distinct roles between your existing agent framework and Catalyst’s durable execution layer to avoid overlapping work
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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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How do long-running human-in-the-loop agent pauses function with Catalyst?
Understand how Catalyst preserves agent workflow state during human-in-the-loop pauses, even after underlying processes terminate
