Getting Started & Migration
What does a minimal but realistic durable agent look like when I first run Catalyst locally?
A minimal durable agent starts as a single workflow with two to three steps, such as an LLM call followed by a conditional API action. Catalyst captures each step’s state automatically, so progress survives restarts. The agent focuses on demonstrating deterministic replay of decision logic alongside probabilistic LLM outputs. Boundary: Durable execution never guarantees exactly-once side effects, so idempotency tokens remain your responsibility.
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- Getting Started & Migration
How do I iterate quickly on durable agent logic without deploying to a shared cluster?
Use a local Dapr sidecar to execute and debug agent workflows, enabling a fast edit-run-debug cycle without remote dependencies.
- Getting Started & Migration
My agent is already built with LangChain/LlamaIndex. Can I add durable execution without a rewrite?
Wrap an existing agent’s entry point in a Catalyst workflow to gain durability without modifying framework internals, then progressively refactor.
- Getting Started & Migration
Which agent workflows should I migrate to Catalyst first to gain the most value?
Identify workflows where partial failures cause expensive manual recovery or data inconsistency to prioritize for durable execution migration.