What’s New
Portable MCP Servers in Agent Client
Define MCP servers once, run on Claude and Gemini — client resolves, model translates
Feb 2026 · View →
New Projects
Spring AI Agent Utils
Claude Code-inspired tools and agent skills for Spring AI
@tzolovAgent Judge
Agent-agnostic evaluation framework with deterministic, command, and LLM judges
@markpollack · Jan 2026 · View →Agent Sandbox
Isolated command execution API - Local, Docker, and E2B cloud backends
@markpollack · Jan 2026 · View →Spring AI Bedrock AgentCore
AWS Bedrock AgentCore runtime integration
@maschnetwork · Dec 2025 · View →Spring AI Tool Search Tool
Dynamic tool discovery with 80-90% token savings
@renemrhfr
@JM-LabLatest 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
Production Projects
Moonshot
Support for Chinese Moonshot AI models with streaming and function calling
QianFan
Integration with Baidu’s QianFan platform for chat, embeddings, and image generation
Featured Incubating Projects
Agent Client
Autonomous CLI agents (Claude Code, Gemini) with Spring Boot integration
Spring AI Bench
Enterprise Java AI agent benchmarking beyond SWE-bench
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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
Spring AI Bench is an open benchmarking initiative focused on evaluating AI agents in enterprise Java contexts. The project aims to provide transparent, reproducible benchmarks that go beyond traditional approaches.
Learn more about Spring AI Bench
Discover how we’re advancing AI agent evaluation for enterprise Java