yu ai agent
Basic Information
This repository is a practical 2025 AI development project and codebase that demonstrates how to build AI-driven applications and autonomous agents using the Java Spring ecosystem. It is implemented with Spring Boot 3, Java 21 and Spring AI and showcases an AI 'dating master' application alongside an autonomous planner agent named YuManus that uses the ReAct pattern. The project focuses on integrating large AI models into a Spring application stack and highlights core Spring AI capabilities, prompt engineering, and optimization techniques. The intent is to serve as a hands-on reference for developers learning to architect, connect and orchestrate LLMs and agent logic within modern Java server environments.
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Features
The repository centers on several concrete technical elements: a Spring Boot 3 and Java 21 codebase as the runtime platform, Spring AI integration for model access and orchestration, an example AI application branded as a dating-master to illustrate end-user agent behavior, and an autonomous planning agent called YuManus implemented using the ReAct pattern. It emphasizes prompt engineering and prompt optimization practices and demonstrates patterns for connecting to large models. The project scope indicates coverage of Spring AI core features relevant to Java developers building conversational or autonomous agents.
Use Cases
This project helps Java and Spring developers understand practical steps to integrate large language models and agent patterns into backend services. It provides a runnable reference showing how Spring Boot and Spring AI can host conversational applications and ReAct-style autonomous planners, and it surfaces considerations for prompt design and optimization. Developers can reuse architectural patterns, agent orchestration approaches and integration ideas when building domain-specific assistants or autonomous workflows in Java. The examples aim to shorten the learning curve for bringing LLM capabilities into production-style Spring applications.
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