Agent-oriented programming framework for building LLM applications in Java. Provides agent abstractions, tool calling, multi-agent collaboration, and other core capabilities for enterprise Java ecosystem integration.
Real-time transport layer for Java AI agents supporting WebSocket, SSE, gRPC, and WebTransport/HTTP3, with native MCP, A2A, and AG-UI protocol support for building event-driven AI agent communication architectures.
A JVM framework by JetBrains for building predictable, fault-tolerant, enterprise-ready AI agents across all platforms — from backend services to Android, iOS, and in-browser environments, with built-in MCP and multi-provider LLM support.
Agent harness built with LangChain and LangGraph. Equipped with a planning tool, filesystem backend, and ability to spawn subagents for complex agentic tasks.
LangGraph for Java — a library for developing AI agentic architectures in the Java ecosystem, designed to work seamlessly with both LangChain4j and Spring AI, supporting stateful graph-based workflows and complex agent orchestration.