# liyupi/yu-ai-agent

编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

Repository: https://github.com/liyupi/yu-ai-agent
Canonical: https://ross.abutalabs.com/products/yu-ai-agent
Homepage: https://www.codefather.cn
Language: Java
License Family: other
Topics: ai, ai-model, backend, frontend, java, langchain4j, mcp, rag, spring-ai, springboot, springmvc, vector-database
Last push: 2026-01-07T05:47:52+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 61, release rhythm 35, longevity 35
- inputs: {"age_days": 498, "days_push": 238, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2630, forks 605 (observed 2026-08-28T04:07:05.604202+00:00)

## What it is
A tutorial-based project by programmer Yupi teaching AI application development with Java 21, Spring Boot 3, and Spring AI. Learners build an AI love-advisor chatbot and a ReAct-based autonomous planning agent (YuManus), covering RAG, vector databases, tool calling, MCP, and prompt engineering.

## Use cases
- learn to build ai agents in java
- spring ai tutorial project
- implement rag knowledge base with pgvector
- build a react-mode autonomous planning agent
- learn mcp model context protocol development
- practice tool calling with spring ai
- ai project for resume building
- langchain4j hands-on learning

## When to choose
- you want a structured, video-guided course on Java AI development
- you need hands-on practice with Spring AI, RAG, and MCP in one project
- you are a Java backend developer adding AI skills for job hunting

## When to avoid
- you need a production-ready AI agent framework to deploy as-is
- you work outside the Java/Spring ecosystem
- you want a permissively licensed library - the repo has no license file

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, rag, mcp, prompt-engineering, llm-inference, web-framework, vector-database
- domain: artificial-intelligence, large-language-models, education, backend, web-development, tutorials
- platform: jvm, self-hosted
- tags: spring-ai, langchain4j, react-agent, tool-calling, pgvector, tutorial-project, java-21, spring-boot-3, ai-love-master, yumanus, ai-agents, retrieval-augmented-generation, spring, docker

## Member repositories
- liyupi/yu-ai-agent (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:05.604202+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:19:38.938574+00:00, confidence not recorded.
  - readme: https://github.com/liyupi/yu-ai-agent (fetched 2026-08-28T04:07:05.604202+00:00, sha bd45d21131ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.