langgraph4j
🚀 LangGraph for Java is a library for Graph Engineering, designed to build sophisticated AI agentic architectures within the Java ecosystem. It works seamlessl
What is langgraph4j?
🚀 LangGraph for Java is a library for Graph Engineering, designed to build sophisticated AI agentic architectures within the Java ecosystem. It works seamlessly with both Langchain4j and Spring AI.
Overview of langgraph4j
What it is
LangGraph4j is a Java library for building stateful, multi-agent applications with Large Language Models (LLMs). It is inspired by the Python library LangGraph and is designed to work seamlessly with popular Java LLM frameworks like Langchain4j and Spring AI.
Key features
- Stateful Execution: Manage and update a shared state across graph nodes, enabling memory and context awareness.
- Cyclical Graphs: Supports cycles, essential for agent-based architectures where control flow can loop back.
- Explicit Control Flow: Clearly define paths and conditions for transitions between nodes.
- Modularity: Build complex systems from smaller, reusable components (nodes).
- Observability & Debugging: Includes checkpoints to save and replay state, and graph visualization using PlantUML or Mermaid.
- Asynchronous & Streaming Support: Build responsive applications with non-blocking operations and stream results from LLMs.
- Playground & Studio: A web UI to visually inspect, run, and debug graphs.
Use cases
Building stateful, multi-agent applications with LLMs that require memory, context, and collaboration between agents. Suitable for complex workflows such as long-running or resumable processes, conditional routing, and dynamic control flow.
Getting started
See the repository README for installation and quick-start instructions.
License and pricing
MIT license. Open source.
Based on the project's public README and repository metadata.
