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Recent Releases

Agent Client 0.11.0
Sessions, portable MCP servers, Amazon Q and Amp agent support
Mar 2026 · View →
Spring AI Agent Utils 0.6.0
A2A protocol subagents, BOM for version management
Mar 2026 · View →
Tool Search Tool 2.1.0
Spring AI 2.x / Boot 4 support with Lucene, vector, and regex searchers
Mar 2026 · View →
Agent Bench 0.2.1
YAML-driven benchmarks with cascaded judge tiers from Agent Judge
Mar 2026 · View →

Latest from the Blog

Agent Skills

Modular, reusable capabilities for Spring AI agents

MCP Boot Starters

Connect your AI to everything with Spring AI’s MCP support

All Blog Posts

45 posts on agents, MCP, tools, model providers, and more

Our Mission

The main goal of the Spring AI Community GitHub organization is to create an easy path for people to contribute Spring AI related projects. The need for this organization stems from the Spring AI project receiving many pull requests for additional features and functionality that the core team can’t easily maintain or nurture. By creating this GitHub organization, we hope that an ecosystem of community-driven projects can develop to fill this gap. Having a known ‘hub’ for Spring AI related projects will help foster discovery and encourage more features and projects to be developed.

Known Hub

A central location for discovering Spring AI integrations and extensions

Easy Contribution

Clear process for proposing and contributing new projects

Community Driven

Projects maintained by the community, for the community

Our Projects

Claude Agent SDK

Java SDK for the Claude Agent protocol with blocking and reactive APIs

ACP

Step-by-step tutorial for the ACP Java SDK

Agent Client

Autonomous CLI agents (Claude Code, Gemini) with Spring Boot integration

Agent Bench

Enterprise Java AI agent benchmarking beyond SWE-bench

View all projects

Explore our complete catalog of community projects

Get Started

Propose a Project

Have an idea for a Spring AI integration? Submit a project proposal

Learn About Governance

Understand our lightweight governance model and meet the community leads

Project Requirements

Review the requirements and process for creating a project

Enterprise Java Agent Benchmarking

Agent Bench is an open benchmarking initiative focused on evaluating AI agents in enterprise Java contexts. The project provides transparent, reproducible benchmarks with cascaded judge tiers.

Learn more about Agent Bench

Discover how we’re advancing AI agent evaluation for enterprise Java