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yu-ai-agent

liyupi/yu-ai-agent

A comprehensive AI project based on Spring Boot 3 + Java 21 that integrates an AI agent and恋爱大师application with various AI technologies.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

50views this month

2.7k stars611 forksLast push Jan 7, 2026 Java

Decision brief

yu-ai-agent is a comprehensive Java-based AI development platform built on Spring Boot 3 and Java 21, focusing on integrating an AI agent named YuManus with advanced features like RAG enhancement and vector databases.

Good fit when

  • When developing projects requiring integration of ReAct mode agents using Manas Java implementation
  • For enhancing applications with prompt engineering and RAG retrieval in a Spring AI context

Avoid when

  • If your project specifically needs frameworks that are not based on Spring Boot or requires Python-based agent implementations
  • When the development team prefers environments without comprehensive integration of vector databases and specific MCP model protocols

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (256d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No MCP manifest
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/liyupi/yu-ai-agent

How it fits your stack(9)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

This repository contains a broad range of AI development practices for programming navigation and development, aiming to equip developers with essential AI skills covering large model integration, core features of Spring AI, prompt engineering, RAG retrieval enhancement, vector databases, tool calling mechanisms, MCP context protocol, and AI agent development.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

Languages
java

Source: github.language · Sep 20, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

SSE transportSSE

Source: README excerpt (regex_v1, Sep 20, 2026)

- ⭐️ SSE 异步推送
Source link
Works with CursorCursor

Source: README excerpt (regex_v1, Sep 20, 2026)

- ⭐️ Cursor AI 代码生成
Source link

Tags

README

AI 超级智能体项目 作者:程序员鱼皮 本项目为教学项目,提供完整视频教程 + 文字教程 + 简历写法 + 面试题解 + 答疑服务,帮你提升项目能力,给简历增加亮点! ⭐️ 加入项目系列学习:加入编程导航 项目介绍 视频介绍:https://www.bilibili.com/video/BV1UoLezKEbm 这是一套以 AI 开发实战 为核心的项目教程,将通过开发 AI 恋爱大师应用 + 拥有自主规划能力的超级智能体 ,带大家掌握新时代程序员必知必会的 AI 核心概念、AI 实用工具、AI 编程技术、AI 框架原理、AI 调优技巧,大幅增加求职的竞争...

For agents

This page has a .md twin and JSON over the API.

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