Practical overview
When it fits
Use it when building agent functionality in a Java application and you need reusable agent patterns or a graph-based runtime for more involved workflows.
Who it is for
- Java developers adding AI agents to applications
- Teams designing multi-agent workflows or stateful agent processes
- Developers exploring agent, multimodal, voice or graph-workflow examples
Documented uses
- Build Java-based agent applications.
- Coordinate multiple agents with sequential, parallel, routing or loop patterns.
- Represent workflows with conditional routing, nested graphs and state management.
- Explore a chatbot example connected to a language-model provider.
Requirements & limits
The repository is public and licensed under Apache-2.0. The chatbot example requires JDK 17 or later and a language-model provider API key.
- The Agent Framework offers higher-level agent patterns; Graph is the lower-level runtime for more flexible workflow construction.
- The documented chatbot startup uses a DashScope API key, while the README refers developers to separate guidance for other providers.
- Spring AI Alibaba Admin is a separate visual platform component, not the same thing as the framework or Graph runtime.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Run the documented chatbot example
Start the repository's chatbot example and open its local chat interface.
Before you start
- JDK 17 or later
- An API key for a language-model provider; the shown example uses DashScope
- Git to clone the repository
Steps
Clone the repository with the command below and change into the project directory.
git clone --depth=1 https://github.com/alibaba/spring-ai-alibaba.gitSet the
AI_DASHSCOPE_API_KEYenvironment variable to the DashScope API key.Run
./mvnw -pl examples/chatbot spring-boot:run.Open
http://localhost:8080/chatui/index.htmlin a browser to use the chatbot.
Expected outcome
A locally running chatbot example accessible through its browser interface.
Guide limitations
- The documented example uses DashScope; the README points to separate documentation for using other providers.
- The steps describe a local example, not deployment of an application.
Compare options for Agent orchestration
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Spring AI Alibaba | Build Java-based agent applications. | Server | The repository is public and licensed under Apache-2.0. The chatbot example requires JDK 17 or later and a language-model provider API key. |
| Agenite | Define typed tools with JSON Schema validation and error handling. | CLI | |
| Veldra | Create an agent with a policy, tools, skills, knowledge base and reasoning method. | Self-hosted | The documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created. |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 13 October 2026
- Original website title
- alibaba/spring-ai-alibaba · Official homepage title · retained in its source language

