Spring AI + Dapr

Make your Spring AI agents production-ready. These tutorials show you how to add fault tolerance using Dapr — with no changes to your agent code.

Durable Workflows

Wrap agent tasks in Dapr workflows. Automatic retries, checkpointing, and crash recovery.

Crash Recovery

Kill the app mid-call and re-attach to the running workflow with a caller-owned instance id — no duplicate work.

Durable Memory

Persist chat memory in a Dapr state store, and see why a response advisor saves the reply only after a successful call.

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Why Dapr for Spring AI?

Challenge	Dapr Solution
Agent crashes lose all progress	Durable workflows checkpoint every step
Agents tightly coupled, hard to scale	Pub/sub decouples communication
Conversation history lost on restart	State management persists memory
Custom retry logic everywhere	Built-in retries with exponential backoff

The dapr-spring-ai starter adds all of this to a standard Spring AI ChatClient — just by being on the classpath, with no application-code changes.

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