Langgraph4j

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langgraph4j is an AI Agents & Automation tool that provides a Java library for building stateful, multi-agent applications with LLMs. It integrates seamlessly with Langchain4j and Spring AI, enabling complex AI agentic architectures.

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At a glance

Pricing

Open Source · Free

Free tier

Yes

API

Skill level

Technical

About

What is langgraph4j?

langgraph4j is a Java library designed for developing sophisticated AI agentic architectures. It allows developers to build stateful, multi-agent applications that leverage Large Language Models (LLMs). Inspired by the Python library LangGraph, it offers seamless integration with popular Java LLM frameworks like Langchain4j and Spring AI. Key features include stateful execution for managing shared state across graph nodes, support for cyclical graphs essential for agent-based architectures, and explicit control flow definition. The library also provides modularity for building complex systems from reusable components, flexibility for integrating various LLM providers, and robust observability and debugging tools like checkpoints and graph visualization.

Best used for

Ideal for developers who need to build sophisticated AI agentic architectures, manage stateful interactions between agents, and integrate LLMs into Java applications. Especially valuable for creating complex, multi-agent systems that require memory, context, and dynamic control flow.

Common actions

build AI agents

manage AI workflows

integrate LLMs

develop Java AI applications

face swappinggithub copilotdeepfakecollaborationautomated workflowworkflowsopen-sourcelow-code/no-code"AI Agents"

Capabilities

Key features

Stateful execution
Cyclical graphs
Explicit control flow
Modular components
Checkpoint persistence
Graph visualization
Asynchronous support

Target Audience

developerdata scientist

Integrations

langchain4jspring-aimysqlpostgresqlredisopentelemetrydynamodb

Pricing & Plans

Open Source · Free

Free

FAQs

What Java versions does langgraph4j support?

langgraph4j requires Java 17 or later for its stable releases. For development builds and snapshot versions, Java 17+ is also recommended. Some notebook-oriented tooling referenced in the how-tos might specifically require Java 22.

How does langgraph4j handle persistence for agent states?

langgraph4j supports state persistence through CheckpointSavers. It provides out-of-the-box integrations for MySQL, PostgreSQL, and Redis, allowing you to save and restore the graph's state at any point for debugging, resuming, or long-running processes.

Can I visualize the AI agent workflows built with langgraph4j?

Yes, langgraph4j offers capabilities for graph visualization. You can generate visual representations of your agent workflows using tools like PlantUML or Mermaid, which helps in understanding the structure and flow of complex interactions.

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