Spring AI

Official X account for Spring AI from @SpringCentral

[Spring AI @SpringAICentral]

🚀 Spring AI 2.0.0-M8 is out! This milestone brings improved Mistral AI Jackson mapping, and key bug fixes — including the OpenAI API no auth key and transitive auto-configuration dependency issues. More details on: https://t.co/nnj8Ylqipt

[Spring AI @SpringAICentral]

Spring AI 1.0.8, 1.1.7, and 2.0.0-M7 are out now! 🚀

2.0.0-M7 highlights:
🔧 ToolCallAdvisor is now the default
✨ New ToolSpec fluent API
along with important improvements, stability enhancements, and bug fixes on 1.1.7 and 1.0.8: https://t.co/7NPfeTNeeF

[CrAIg Walls @habuma]

In this Spring AI Recipe, learn how to define reusable MCP prompts that deliver consistent, high-quality LLM interactions across clients with Spring AI.

https://t.co/6pyPZt8EtT

#SpringAI #AI #GenAI #MCP

[CrAIg Walls @habuma]

Head up: I’ve scheduled more Spring AI recipes to auto-publish this week even while I’m on a ship sailing in Alaska. But, my ability to push the code to GitHub and the updates to https://t.co/5NJ7PRLiO9 will depend on connectivity that I may not have. Sorry for the delays.

[Vadym Kazulkin @VKazulkin]

New blog post alert 🚨
"Building AI Agents with Spring AI and Amazon Bedrock AgentCore – Part 2 Deploy Conference Search application on AgentCore Runtime".
https://t.co/e8QB9DHdda
#AWS @java @SpringAICentral @springboot #AWS #mcp #genai #agenticai #bedrockagentcore

[Vadym Kazulkin @VKazulkin]

New blog post alert 🚨
"Building AI Agents with Spring AI and Amazon Bedrock AgentCore – Part 3 Develop local MCP client for Conference application".
@java #AWS @springboot @SpringAICentral #mcp #agenticai #Java #bedrockagentcore
https://t.co/eMsYcNxRI6

[Vadym Kazulkin @VKazulkin]

New blog post alert 🚨
"Building AI Agents with Spring AI and Amazon Bedrock AgentCore – Part 4 Provide MCP tools for Conference application via AgentCore Gateway".
@java #AWS @springboot @SpringAICentral #mcp #agenticai #Java #bedrockagentcore
https://t.co/CjGLjmGsXt

[Spring I/O @spring_io]

🍃 Beyond local tools: Deep dive into MCP with Spring AI by @JamesWard / @maschnetwork @ Spring I/O 2026

▶️ Video: https://t.co/45rlIe7zRM

🔗 Slides: https://t.co/C74hvHeMQU #springio26

[Spring AI @SpringAICentral]

Spring AI 1.0.7, 1.1.6, and 2.0.0-M6 are out! 🚀 These releases include improvements, bug fixes, and documentation updates. More details on this here: https://t.co/XQbv6CNhLQ

[CrAIg Walls @habuma]

So you’ve built an MCP server with STDIO? That’s great!

Now take it from local integration to network-accessible service.

In today’s Spring AI recipe, learn to create a Streamable HTTP MCP server.

https://t.co/BJTyEbToyA

#SpringAI #MCP #AgenticAI #Java

[Vadym Kazulkin @VKazulkin]

New blog post alert 🚨
"Building AI Agents with Spring AI and Amazon Bedrock AgentCore – Part 1 Introduction to the series".
https://t.co/X8uGeZemzC
@SpringAICentral #Java #BedrockAgentCore @springboot #MCP #agenticai #genai

[Spring AI @SpringAICentral]

🚀Spring AI 2.0.0-M5 is out. What's new: the existing spring-ai-openai module now uses the official OpenAI Java SDK, Anthropic native web search + thinking display, other enhancements and bug fixes: https://t.co/I4hp7XmyOa

[IntelliJ IDEA, a JetBrains IDE @intellijidea]

If you're using Spring AI, you have the integration layer sorted. Keep your #Spring beans, and add Koog, the JVM AI agent framework from @JetBrains, on top for the following:
✔️ Graph workflows
✔️ Crash recovery
✔️ History compression
👇 https://t.co/q3lAegcMqO

[Siva @sivalabs]

If you want to learn Spring AI, I highly recommend this presentation "Integrating AI into Your Java Applications: Spring AI Deep Dive with RAG" by @christzolov

https://t.co/AGJXdqlgec

This talk covers, foundational concepts of @SpringAICentral , advanced concepts like Agentic Patterns, AI Protocols, etc.

[Rodrigo Gazzaneo @vGazza]

#SpringAI SDK for #AmazonBedrock AgentCore is now generally available 👉 https://t.co/YfoXnz1gJz @SpringAICentral #AWS #Cloud #CloudComputing #AI #AgenticAI #Innovation

[Josh Long @starbuxman]

Spring AI provides one of the most powerful agent harnesses, with support for tools, advisors, skills, memory, etc.

All we gotta do is build!

[James Ward @JamesWard]

On my way to Bangalore to present at GIDS about Spring AI, Amazon Bedrock, and MCP. Can’t wait to be with this passionate developer community again!

[James Ward @JamesWard]

Super excited to announce the Spring AI Amazon Bedrock AgentCore 1.0 release! This release makes it super easy to deploy Java / Kotlin Spring AI agents on AWS. You can also use AgentCore Memory, Code Interpreter, and Browser either with your agents on AgentCore Runtime or running wherever you want (EKS for example).

Huge thank you to all the amazing work by my colleagues:
@maschnetwork, @mmeckes, Yuriy Bezsonov, Andrei Shakirin, & Muhammad Hamza Usmani

https://t.co/P3vj7Ii5WE

[Christian Tzolov🇧🇬🇪🇺🇺🇦 🦋@tzolov.bsky.social @christzolov]

2nd talk at #SpringIO today 🌱 — One abstraction rules them all 💍

The Advisor pattern is all you need for any Agentic Harness — Tool Calling, Memory, RAG, Guardrails, LLM-as-a-Judge & more.

📅 14:30–15:20 · Track 2

https://t.co/AtxnIlzGyW

#SpringAI #Agents #Java

[SpringCentral @springcentral]

Spring I/O Barcelona, here we come! 🇪🇸
The Spring team is heading to Spring I/O in full force this year. We can’t wait to hang out with the community and talk all things Framework, Boot, AI, and more. Check out our speaker session lineup: https://t.co/uUFfHA10DK