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Build AI Apps with spring-ai

Name: Build AI Apps with spring-ai
Author: spring-projects

Get an AI application framework for engineering, for founders and Java developers, with 8.9k+ GitHub stars

intermediate⏱ 1-2 hours💵 Free (self-hosted)

9,278 stars2,810 forksJavaHealth Score 9/10Updated 8/8/2026100% free · open source

What it is

Build an AI application using code with Spring-projects' Spring-AI.

What you can make with it

Automations like adding new customers to a Notion database and sending them a welcome email via Resend.

How it helps

Spring-AI helps you build, deploy, and manage AI applications efficiently, especially for those already familiar with Java and the Spring framework.

Real use case example

"A founder uses Spring-AI to automate customer onboarding by writing a Java script that integrates with their Notion database and a Mailgun email service. They write and deploy the code, configure Spring-AI to watch their Notion database, and receive an email notification whenever a new customer signs up."

If you're new

When you're new to AI and want a gentle introduction with a solid development framework.

If you're senior

For experienced Java developers who already use the Spring framework and want to incorporate AI into their projects.

Common confusion cleared up

Spring-AI is designed to work seamlessly with existing Spring projects, but it may require additional setup and configuration.

Best inside these AI tools

Claude DesktopClaude CodeCursorCodex CLI

Pairs with

Stripe webhookNotion databaseMailgun email service

Why we list it on WorkflowStacks: It's part of a free and open-source marketplace that saves developers time and resources compared to using paid alternatives.

What it does

Spring-AI provides a framework for building artificial intelligence and machine learning applications using Java and the Spring ecosystem

Install / run

Clone the Spring-AI repository using the command `git clone https://github.com/spring-projects/spring-ai.git`

When to use it

•Building a new AI-powered application with a Java-based backend
•Integrating machine learning models into an existing Spring-based application
•Developing a real-time data processing pipeline with AI-driven insights

Quick start

1Import the Spring-AI project into your IDE, such as Eclipse or IntelliJ, using the `pom.xml` file
2Configure the AI application framework by creating a `application.properties` file and setting the `spring.ai.model` property
3Use the `@EnableAI` annotation to enable AI functionality in your Spring application
4Implement a custom AI model using the `AIModel` interface and integrate it with your application
5Run the application using the `mvn spring-boot:run` command

Ready-to-paste prompt

Create a simple AI-powered chatbot by implementing the `AIModel` interface and using the `@EnableAI` annotation, then test it using the `curl` command: `curl -X POST -H 'Content-Type: application/json' -d '{"input": "Hello, how are you?"}' http://localhost:8080/chat`

Heads up: Ensure you have Java 11 or later installed, as Spring-AI requires a minimum of Java 11 to function correctly

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