alibaba/spring-ai-alibaba

alibaba-Profil

Letzte erfasste Quellaktivität: 30. März 2026 um 12:30

SkillsMP-Katalog aktualisiert: 17. Oktober 2026 um 00:09

gesammelte Skills: 7

GitHub-Stars: 11.022
GitHub-Forks: 2.443

README des Repositorys

README-Quelldatei: README.md

README-Quelldatei lesen

Vollständige README anzeigen

# [Spring AI Alibaba](https://java2ai.com) [![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html) [![CI Status](https://github.com/alibaba/spring-ai-alibaba/actions/workflows/build-and-test.yml/badge.svg?branch=main)](https://github.com/alibaba/spring-ai-alibaba/actions/workflows/build-and-test.yml) [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/alibaba/spring-ai-alibaba) [![Maven Central](https://img.shields.io/badge/Maven%20Central-v1.1.2.2-blue)](https://central.sonatype.com/artifact/com.alibaba.cloud.ai/spring-ai-alibaba/1.1.2.2) [![gitleaks badge](https://img.shields.io/badge/protected%20by-gitleaks-blue)](https://github.com/gitleaks/gitleaks) <html> <h3 align="center"> A production-ready framework for building Agentic, Workflow, and Multi-agent applications. </h3> <h3 align="center"> <a href="https://java2ai.com/docs/quick-start/" target="_blank">Agent Framework Docs</a>, <a href="https://java2ai.com/docs/frameworks/graph-core/quick-start/" target="_blank">Graph Docs</a>, <a href="https://java2ai.com/ecosystem/spring-ai/reference/concepts/" target="_blank">Spring AI</a>, <a href="https://github.com/alibaba/spring-ai-alibaba/tree/main/examples" target="_blank">Examples</a>. </h3> </html> ## Architecture <p align="center"> <img src="./docs/imgs/architecture-new.png" alt="architecture" style="max-width: 740px; height: auto" /> </p> **Spring AI Alibaba Admin** is a one-stop Agent platform that supports visualized Agent development, observability, evaluation, and MCP management, etc. It also integrates with open-source low-code platforms like Dify, enabling rapid migration from DSL to Spring AI Alibaba project. **Spring AI Alibaba Agent Framework** is an agent development framework that can quickly develop agents with built-in **Context Engineering** and **Human In The Loop** support. For scenarios requiring more complex process control, Agent Framework offers built-in workflows like `SequentialAgent`, `ParallelAgent`, `RoutingAgent`, `LoopAgent`. **Spring AI Alibaba Graph** serves as the underlying runtime of the Agent Framework, providing essential capabilities such as persistence, workflow orchestration, and streaming required for long-running stateful agents. Compared to the Agent Framework, users can build more flexible multi-agent workflows based on the Graph API. ## Core Features * **[Multi-Agent Orchestration](https://github.com/alibaba/spring-ai-alibaba/tree/main/examples/multiagent-patterns)**: Compose multiple agents with built-in patterns including `SequentialAgent`, `ParallelAgent`, `RoutingAgent`, and `LoopAgent` for complex task execution. * **[Multimodal Support](https://github.com/alibaba/spring-ai-alibaba/tree/main/examples/multimodal)**: ReactAgent with text and media input (image understanding). ReactAgent with tool based image or audio generation. * **[Voice Agent](https://github.com/alibaba/spring-ai-alibaba/tree/main/examples/voice-agent)**: WebSocket-based real-time voice agent that supports streaming audio or text input and responds with generated audio. * **[Context Engineering](https://java2ai.com/docs/frameworks/agent-framework/tutorials/hooks)**: Built-in best practices for context engineering policies to improve agent reliability and performance, including human-in-the-loop, context compaction, context editing, model & tool call limit, tool retry, planning, dynamic tool selection. * **[Graph-based Workflow](https://java2ai.com/docs/frameworks/graph-core/quick-start)**: Graph based workflow runtime and api for conditional routing, nested graphs, parallel execution, and state management. Export workflows to PlantUML and Mermaid formats. * **[A2A Support](https://java2ai.com/docs/frameworks/agent-framework/advanced/a2a)**: Agent-to-Agent communication support with Nacos integration, enabling distributed agent coordination and collaboration across services. * **[Rich Model, Tool and MCP Support](https://java2ai.com/integration/chatmodels/dashScope)**: Leveraging core concepts of Spring AI, supports multiple LLM providers (DashScope, OpenAI, etc.), tool calling, and Model Context Protocol (MCP). * **[One-stop Agent Platform](https://java2ai.com/ecosystem/admin/quick-start)**: Build agent in a visualized way, deploy agent without code or export as a standalone java project. <p align="center"> <img src="./docs/imgs/saa-admin.png" alt="architecture" style="max-width: 740px; height: auto" /> </p> ## Getting Started ### Prerequisites * Requires JDK 17+. * Choose your LLM provider and get the API-KEY. ### Quickly Run a ChatBot There's a ChatBot example provided by the community at [examples/chatbot](https://github.com/alibaba/spring-ai-alibaba/tree/main/examples/chatbot). 1. Download the code. ```shell git clone --depth=1 https://github.com/alibaba/spring-ai-alibaba.git cd spring-ai-alibaba ``` 2. Start the ChatBot. Before starting, set API-KEY first (visit <a href="https://bailian.console.aliyun.com/?apiKey=1&tab=api#/api" target="_blank">Aliyun Bailian</a> to get API-KEY): ```shell # this example uses 'spring-ai-alibaba-starter-dashscope', visit https://java2ai.com to learn how to use OpenAI/DeepSeek. export AI_DASHSCOPE_API_KEY=your-api-key ``` ```shell # Maven installation is optional when using mvnw. ./mvnw -pl examples/chatbot spring-boot:run ``` 3. Chat with ChatBot. Open the browser and visit [http://localhost:8080/chatui/index.html](http://localhost:8080/chatui/index.html) to chat with the ChatBot. <p align="center"> <img src="./docs/imgs/chatbot-chat-ui.gif" alt="chatbot-ui" style="max-width: 740px; height: auto" /> </p> ## Chatbot Code Explained 1. Add dependencies ```xml <dependencies> <dependency> <groupId>com.alibaba.cloud.ai</groupId> <artifactId>spring-ai-alibaba-agent-framework</artifactId> <version>1.1.2.0</version> </dependency>  <dependency> <groupId>com.alibaba.cloud.ai</groupId> <artifactId>spring-ai-alibaba-starter-dashscope</artifactId> <version>1.1.2.1</version> </dependency> </dependencies> ``` 2. Define Chatbot For more details of how to write a Chatbot, please check the [Quick Start](https://java2ai.com/docs/quick-start) on our official website. ## 📚 Documentation * [Overview](https://java2ai.com/docs/overview) - High level overview of the framework * [Quick Start](https://java2ai.com/docs/quick-start) - Get started with a simple agent * [Agent Framework Tutorials](https://java2ai.com/docs/frameworks/agent-framework/tutorials/agents) - Step by step tutorials * [Use Graph API to Build Complex Workflows](https://java2ai.com/docs/frameworks/agent-framework/advanced/context-engineering) - In-depth user guide for building multi-agent and workflows * [Spring AI Basics](https://java2ai.com/ecosystem/spring-ai/reference/concepts) - Ai Application basic concepts, including ChatModel, MCP, Tool, Messages, etc. * [Chat Memory](https://docs.spring.io/spring-ai/reference/api/chatclient.html#chat-memory) - Spring AI reference for chat memory repositories and usage ## Project Structure This project consists of several core components: * spring-ai-alibaba-agent-framework: A multi-agent framework designed for building intelligent agents with built-in context engineering best practices. * spring-ai-alibaba-graph: The underlying runtime for Agent Framework. We recommend developers to use Agent Framework but it's totally fine to use the Graph API directly. * spring-ai-alibaba-admin: A one-stop Agent platform that supports visualized Agent development, observability, evaluation, and MCP management, etc. * spring-ai-alibaba-studio: The embedded ui for quickly debugging agent in a visualized way. * spring-boot-starters: Starters integrating Agent Framework with Nacos to provide A2A and dynamic config features. ## Spring AI Alibaba Ecosystem Repository | Description | ⭐ --- | --- | --- | [Spring AI Alibaba Graph](https://github.com/alibaba/spring-ai-alibaba/tree/main/spring-ai-alibaba-graph-core) | A low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful agents. | ![GitHub Repo stars](https://img.shields.io/github/stars/alibaba/spring-ai-alibaba?style=for-the-badge&label=) | [Spring AI Alibaba Admin](https://github.com/spring-ai-alibaba/spring-ai-alibaba-admin) | Local visualization toolkit for the development of agent applications, supporting project management, runtime visualization, tracing, and agent evaluation. | ![GitHub Repo stars](https://img.shields.io/github/stars/spring-ai-alibaba/spring-ai-alibaba-admin?style=for-the-badge&label=) | [Spring AI Extensions](https://github.com/spring-ai-alibaba/spring-ai-extensions) | Extended implementations for Spring AI core concepts, including DashScopeChatModel, MCP registry, etc. | ![GitHub Repo stars](https://img.shields.io/github/stars/spring-ai-alibaba/spring-ai-extensions?style=for-the-badge&label=) | [Spring AI Alibaba Examples](https://github.com/spring-ai-alibaba/examples) | Spring AI Alibaba Examples. | ![GitHub Repo stars](https://img.shields.io/github/stars/spring-ai-alibaba/examples?style=for-the-badge&label=) | [JManus](https://github.com/spring-ai-alibaba/jmanus) | A Java implementation of Manus built with Spring AI Alibaba, currently used in many applications within Alibaba Group. | ![GitHub Repo stars](https://img.shields.io/github/stars/spring-ai-alibaba/jmanus?style=for-the-badge&label=) | [DataAgent](https://github.com/spring-ai-alibaba/dataagent) | A natural language to SQL project based on Spring AI Alibaba, enabling you to query databases directly with natural language without writing complex SQL. | ![GitHub Repo stars](https://img.shields.io/github/stars/spring-ai-alibaba/dataagent?style=for-the-badge&label=) | [DeepResearch](https://github.com/spring-ai-alibaba/deepresearch) | Deep Research implemented based on spring-ai-alibaba-graph. | ![GitHub Repo stars](https://img.shields.io/github/stars/spring-ai-alibaba/deepresearch?style=for-the-badge&label=) ## Contact Us * Dingtalk Group (钉钉群), search `182255021470` and join. <img src="./docs/imgs/dingding-group.png" style="width: 260px; height: auto"/> * WeChat Group (微信公众号), scan the QR code below and follow us. <img src="./docs/imgs/wechat-account.jpg" style="width: 260px; height: auto"/> ## Resources * [AI-Native Application Architecture White Paper](https://developer.aliyun.com/ebook/8479): Co-authored by 40 frontline engineers and endorsed by 15 industry experts, this 200,000+ word white paper is the first comprehensive guide dedicated to the full DevOps lifecycle of AI-native applications. It systematically breaks down core concepts and key challenges, offering practical problem-solving approaches and architectural insights. ## Star History [![Star History Chart](https://starchart.cc/alibaba/spring-ai-alibaba.svg?variant=adaptive)](https://starchart.cc/alibaba/spring-ai-alibaba) --- <p align="center"> Made with ❤️ by the Spring AI Alibaba Team

README des Repositorys wird geladen…

Skills in diesem Repository

Datenbankarchitekten Marktforschungsanalysten und Marketingspezialisten Allgemeine Bürokräfte Softwareentwickler

5 Berufskategorien · 100% klassifiziert

Skill

Beruf

Beschreibung

Aktualisiert

sample-skill

Softwareentwickler

Sample skill fixture for classpath registry enhancement tests.

Quellsprache: Englisch

2026-03-30

copywriting

Marktforschungsanalysten und Marketingspezialisten

商品文案写作助手。根据商品信息生成吸引人的营销文案。当用户提到"写文案"、"商品描述"、"营销文案"时使用此技能。

Quellsprache: Chinesisch

2026-03-28

product-selection

Marktforschungsanalysten und Marketingspezialisten

选品分析助手。根据市场趋势和用户需求，分析并推荐适合的商品品类。当用户提到"选品"、"商品推荐"、"品类分析"时使用此技能。

Quellsprache: Chinesisch

2026-03-28

inventory-management

Datenbankarchitekten

Database schema and business logic for inventory tracking including products, warehouses, and stock levels.

Quellsprache: Englisch

2026-03-06

sales-analytics

Datenbankarchitekten

Database schema and business logic for sales data analysis including customers, orders, and revenue.

Quellsprache: Englisch

2026-03-06

grouped-tools-test

Softwarequalitätssicherungsanalysten und -tester

Test skill for groupedTools. When executing this skill, use the record_result tool to record the result value.

Quellsprache: Englisch

2026-01-31

pdf-extractor

Allgemeine Bürokräfte

Extract text, tables, and form data from PDF documents for analysis and processing. Use when user asks to extract, parse, or analyze PDF files.

Quellsprache: Englisch

2026-01-26

Es werden 7 von 7 gesammelten Skills angezeigt.

Mit einem KI-Assistenten installieren

Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/alibaba/spring-ai-alibaba.