Spring AI Alibaba：一个基于Graph的多智能体AI框架 140

一个基于Graph的多智能体AI框架，用于开发聊天机器人、工作流和多智能体应用。这个框架支持流式并发生成内容，简化复杂 AI 应用的开发和部署。

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Spring AI Alibaba：一个基于Graph的多智能体AI框架Introduction

Spring AI Alibaba is a framework for building chat bots, workflows, and multi-agent applications. It deeply integrates with the Alibaba Cloud Bailian platform, ARMS, and Langfuse, supporting agent products such as JManus and DeepResearch. This framework supports streaming concurrent content generation, simplifying the development and deployment of complex AI applications.

Spring AI Alibaba: A Graph-based Multi-agent AI Framework

Features

Graph Multi-agent Framework: Developers can use Spring AI Alibaba Graph to quickly build workflows and multi-agent applications without worrying about underlying process orchestration and context management.
AI Ecosystem Integration: Supports integration with the Bailian platform, providing model access and RAG knowledge base solutions; supports integration with observability products like ARMS and Langfuse; supports enterprise-grade MCP integration.
General-purpose Agent Products and Platform: The community has implemented the JManus agent based on the Spring AI Alibaba framework, exploring the application of autonomous planning in agent development.
Multi-model Service Integration: Supports OpenAI, Ollama, Alibaba Cloud Qwen, etc., covering chat, text-to-image, audio transcription, text-to-speech, and other model types.
Supports Synchronous and Streaming APIs: Allows flexible switching of underlying model services while keeping the application-layer API unchanged, with customization support for specific models.
Supports Structured Output: Maps AI model output to POJOs.
Supports vector database storage and retrieval.
Supports Function Calling.
Supports tool calling and conversational memory capabilities required for building AI Agents.
Supports RAG Development Patterns: Including offline document processing (DocumentReader, Splitter, Embedding, VectorStore, etc.) and Retrieve retrieval.

Applications

ChatBot: Use ChatClient to develop chatbot or agent applications, supporting model-enhanced patterns.
Workflow: Orchestrate workflows containing nodes such as LLM and tools through Spring AI Alibaba Graph, suitable for scenarios like intent recognition.
Multi-agent: Create multiple agents that collaborate to solve complex business scenarios.
Enterprise-grade AI Applications: Supports integration with enterprise tools and platforms (such as MCP, ARMS, etc.), accelerating the transition of agents from demo to production.

Key Questions

Question: How do the core capabilities of Spring AI Alibaba 1.0 GA address the pain points of implementing enterprise agents?

Answer: Its core capabilities address pain points in three ways: ① The Graph multi-agent framework simplifies workflow and multi-agent construction, reducing development complexity; ② Deep integration with the Bailian platform, ARMS, Nacos, etc., addresses model access, observability, and distributed deployment issues; ③ The general-purpose agent platform (such as JManus) combines automatic planning with deterministic workflows, balancing general capabilities with enterprise scenario requirements.

Question: How can developers choose core components of Spring AI Alibaba based on their scenarios?

Answer: Choose based on the scenario: ① When developing a single agent (such as a ChatBot), use ChatClient with enhancements like Retrieval and Tools mounted on the model; ② When building workflows or multi-agent applications, use Spring AI Alibaba Graph, leveraging its predefined nodes and process orchestration capabilities; ③ For vertical-domain agent development, use the JManus platform, which can be configured via UI or auto-generated projects.

Question: What are the differences and connections between Spring AI and Spring AI Alibaba?

Answer: Spring AI Alibaba is based on Spring AI and supports all of its core abstractions (such as Prompt, Memory, MCP, etc.). Spring AI focuses on underlying atomic capabilities and Spring ecosystem integration; Spring AI Alibaba focuses on enterprise-grade implementation, providing a Graph multi-agent framework, ecosystem integration solutions (such as Bailian, Nacos), and a general-purpose agent platform (such as JManus), filling the gap in enterprise-grade agent solutions in the Java field.