spring-ai-community/spring-ai-a2a

Pure java implementation of Google A2A protocol. Integrate your spring boot java applications with A2A protocol , includes client and sever both. Any agent built with a2ajava will also be exposed as MCP tool automatically

A Spring Boot agent harness built on AgentScope Java 2.0 and JDK 25: multi-turn chat over HTTP, a fresh agent per request, shared session history.

Spring Boot support for AGENTS.md in Spring AI applications

Spring Boot integrations for Amazon Bedrock AgentCore

基于原生 Spring AI 的智能体（Agent）开发框架，提供 ReAct 执行引擎、分层记忆、工具调度、Human-in-the-Loop 等核心能力，形成完整的 Harness Engineering 方案，帮助开发者快速构建 AI Agent，可以快速搭建 Java 版的 Claude Code。

Spring Boot Starter: Auto-convert existing REST APIs (@RestController) to MCP Server with zero/low-code. Expose controllers as MCP Tools instantly.

Spring Boot AI Agent — an out-of-the-box solution that makes your app converse, remember, think, and act.

A multi-model Agent runtime built on Spring Boot 4 / Spring AI 2.0: model routing (Anthropic / DeepSeek / OpenAI / custom), thinking toggle, Task subagents, hot-pluggable Skills, Docker sandbox + Code Interpreter, MCP tools, dify/n8n integration, RAG with pgvector, Human-in-the-Loop approvals — all streamed as structured SSE events.

TAgent 是一个基于 Java 17、Spring Boot、Spring AI 和 DDD 分层构建的 AI Agent 工程实践项目。 它不是只封装一次模型调用，而是覆盖了一次 Agent 请求从接入、路由、运行时装配、规划执行、RAG、记忆、MCP 工具治理、人工审批、执行中干预，到 SSE 流式输出和全链路观测的完整过程。