Koog now integrates seamlessly with Spring AI. Keep your current Spring AI LLM providers and databases exactly as they are and add a powerful agent orchestration runtime from Koog with minimal configuration changes.

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Koog, JetBrains' agent orchestration framework, now integrates with Spring AI. The integration lets developers keep their existing Spring AI LLM providers, vector databases, and chat memory backends while layering Koog's advanced agent runtime on top. Key additions include type-safe graph-based workflows, built-in persistence for fault-tolerant execution, sophisticated history compression for cost control, and native parallel execution via coroutines. Setup requires adding three Koog starter dependencies and auto-configured beans bridge Spring AI interfaces to Koog equivalents. A customer support agent example demonstrates progressively adding intent classification, subgraph routing, durable execution with PostgreSQL checkpoints, and token-based history summarization.

Introducing Koog Integration for Spring AI: Smarter Orchestration for Your Agents

When a pure Spring AI agent reaches its limit

What does Koog’s Spring AI integration enable?