Frameworks · ReferenceFramework
LangChain4j
Brings LLM and agentic capabilities to the JVM (Java/Kotlin) with LangChain-style abstractions.
01
Suitability
Best for
Adding agentic features to JVM (Java/Kotlin, Spring/Quarkus) backends.
Watch out
No single native orchestrator; multi-agent flows are composed by hand.
02
Architecture & integrations
Java-native abstractions (AiServices, chains, tools); MCP module available. Java/Kotlin enterprise backends adding agentic features without leaving the JVM.
03
Technical profile
Approach
LangChain philosophy ported to Java/Kotlin (AiServices, tools, RAG).
Control & learning curve
Medium; idiomatic for JVM/Spring/Quarkus developers.
Performance
Runs in existing JVM enterprise backends; no Python bridge.
04
Pattern support
NativeComposable / supportingColor = ladder level L1–L4
Native patterns: Tool use, Sequential, ReAct-style agents
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