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KOOG

JetBrains' JVM framework for building production AI agents

Apache-2.0

ABOUT

Building production-grade AI agents on the JVM requires handling complex challenges like tool calling, conversation management, agent orchestration, and fault tolerance — all while integrating with existing Java and Kotlin enterprise codebases. Koog solves this by providing a structured Kotlin-first framework with type-safe DSLs for agent definitions, built-in LLM provider abstractions, conversation memory management, and platform targets ranging from Android and iOS to backend services and browser environments.

INTEGRATION GUIDE

1. Build Kotlin-native AI agents with type-safe DSLs for tool definitions, conversation flows, and multi-agent orchestration 2. Integrate LLM capabilities into existing JVM enterprise applications with Kotlin coroutines for async agent execution 3. Deploy AI agents on Android and iOS platforms using Kotlin Multiplatform compilation targets 4. Create server-side agent services with structured prompt management, retry logic, and observability hooks 5. Develop fault-tolerant agent pipelines with built-in conversation persistence and error recovery patterns

TAGS

jvmkotlinjavaai-agentsllmenterprisejetbrainsframework
Koog — AI Tool | Agentic AI For Good