spring-ai-alibaba and dynamo-multi-ai-agent-langgraph4j-starter
The projects are ecosystem siblings, where Dynamo Multi AI Agent POC provides a specific implementation of multi-agent AI using Spring AI and LangGraph4J, while Agentic AI Framework for Java Developers is a broader framework that Spring AI applications can leverage.
About spring-ai-alibaba
alibaba/spring-ai-alibaba
Agentic AI Framework for Java Developers
Builds on Spring AI with a three-layer architecture: an Agent Framework providing multi-agent orchestration (Sequential, Parallel, Routing, Loop patterns) with built-in context engineering and human-in-the-loop support; a Graph runtime enabling persistent, stateful workflow execution with conditional routing and nested graphs; and an Admin platform for visualized agent development, observability, and MCP management. Supports multimodal inputs (text, image, audio), real-time voice agents via WebSocket, distributed agent coordination through Nacos, and integrates with multiple LLM providers including DashScope and OpenAI.
About dynamo-multi-ai-agent-langgraph4j-starter
Breezeware-OS/dynamo-multi-ai-agent-langgraph4j-starter
Dynamo Multi AI Agent POC: Unlock the Power of Spring AI and LangGraph4J
Demonstrates stateful multi-agent orchestration by combining LangGraph4J's graph-based workflow engine with Spring AI's model abstraction layer, enabling agents to maintain conversation state and coordinate tool calls across external APIs. Built on Spring Boot 3.2.5 with Java 17, it provides a reference implementation for designing collaborative agent systems that integrate with OpenAI models and third-party services like weather APIs through tool-use patterns.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work