---
title: "hello-agents vs yu-ai-agent"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/datawhalechina-hello-agents-vs-liyupi-yu-ai-agent"
tools: ["datawhalechina-hello-agents", "liyupi-yu-ai-agent"]
---

# hello-agents vs yu-ai-agent

Neutral, constraint-first comparison with live GitHub stats.

| | [hello-agents](/tools/datawhalechina-hello-agents.md) | [yu-ai-agent](/tools/liyupi-yu-ai-agent.md) |
| --- | --- | --- |
| Tagline | 从零开始的智能体原理与实践教程 | 基于Spring Boot 3 + Java 21构建的AI恋爱大师应用和ReAct模式自主规划智能体YuManus |
| Stars | 64,794 | 2,475 |
| Forks | 8,032 | 554 |
| Open issues | 138 | 11 |
| Language | Python | Java |
| Adopt for | Hello-Agents 是一个系统性智能体学习教程，使用 Python 编写，它专注于 AI 原生的 Agent 构建。其内容从智能体的核心原理出发，深入架构，并最终导向实践构建多智能体应用。 | yu-ai-agent 是一个基于Spring Boot 3和Java 21构建的AI恋爱大师应用和自主规划智能体项目。它利用包括Spring AI、LangChain4j在内的现代框架，提供了涵盖接入大模型、Prompt工程优化和向量数据库等内容的教学课程。 |
| Persona | - | - |
| Runtime | - | - |
| License | Other | - |
| Categories | AI Agents, Developer Tools | AI Agents, Model Training, Vector Databases, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [hello-agents](/tools/datawhalechina-hello-agents.md) | [yu-ai-agent](/tools/liyupi-yu-ai-agent.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 2d | 182d |
| Open issues (now) | 138 | 11 |
| Owner type | Organization | User |
| Security scan | No lockfile | Not scanned |
| Full report | [trust report](/tools/datawhalechina-hello-agents/trust.md) | [trust report](/tools/liyupi-yu-ai-agent/trust.md) |

**Typed relationship:** hello-agents _(successor)_ yu-ai-agent

Yu-ai-agent seems to be an advanced course or practice project that builds upon the foundational knowledge provided by hello-agents about agents’ principles and practices.

Coexists - Both serve as learning resources for AI agent development but target different levels of experience.

## Decision facts: hello-agents

- **Hosting:** unknown - 开源免费的在线项目，提供中文和英文版的教程。用户可以快速开始学习，而且教程覆盖从基础理论到实际应用的内容，使用户能够成为智能体系统的构建者
- **Pricing:** freemium - 该项目是完全免费开放的，所有的内容都可以在线阅读或下载。对于进阶技能和具体项目实践，则可以参考教程内容自行实施
- **Adopt for:** Hello-Agents 是一个系统性智能体学习教程，使用 Python 编写，它专注于 AI 原生的 Agent 构建。其内容从智能体的核心原理出发，深入架构，并最终导向实践构建多智能体应用。

## Decision facts: yu-ai-agent

- **Adopt for:** yu-ai-agent 是一个基于Spring Boot 3和Java 21构建的AI恋爱大师应用和自主规划智能体项目。它利用包括Spring AI、LangChain4j在内的现代框架，提供了涵盖接入大模型、Prompt工程优化和向量数据库等内容的教学课程。

## Choose when

### Choose hello-agents if…

- hello-agents is primarily Python; yu-ai-agent is Java.
- 开源免费的在线项目，提供中文和英文版的教程。用户可以快速开始学习，而且教程覆盖从基础理论到实际应用的内容，使用户能够成为智能体系统的构建者
- Pricing: 该项目是完全免费开放的，所有的内容都可以在线阅读或下载。对于进阶技能和具体项目实践，则可以参考教程内容自行实施.
- Yu-ai-agent seems to be an advanced course or practice project that builds upon the foundational knowledge provided by hello-agents about agents’ principles and practices.
- Tags unique to hello-agents: llm, tutorial, agent.
- - 当你需要详细的理论和实践指导来学习如何构建真正的AI原生Agent时

### Choose yu-ai-agent if…

- yu-ai-agent is primarily Java; hello-agents is Python.
- Yu-ai-agent seems to be an advanced course or practice project that builds upon the foundational knowledge provided by hello-agents about agents’ principles and practices.
- Tags unique to yu-ai-agent: vector-database, spring-ai, ai, react-agent.
- Also covers Model Training, Vector Databases.
- yu-ai-agent ships Docker support for self-hosted deployment.
- 使用yu-ai-agent可以帮助开发者学习并掌握结合Spring Boot, Java以及多种AI开发工具的先进应用构建方法。

## When NOT to use hello-agents

- - 当你的目标是只专注于软件工程类的Agent开发，比如Dify或n8n这类流程驱动的应用时不应选择此教程
- - 如果你更倾向于学习如何优化现有的大模型，而不是从头构建智能体系统，那么这可能不是最适合的选择

## When NOT to use yu-ai-agent

- 如果您不熟悉Java或Spring Boot等开发技术和环境，那么yu-ai-agent的学习曲线可能会比较陡峭。
- 对于仅寻求简单API接入和应用的大模型使用者来说，这个以深度项目实战为目标的工具可能不是最佳选择。
- 如果您的项目要求与特定的技术栈无关，并且优先考虑使用更通用、广泛支持的语言和库来实现，则应寻找其他更适合的开发框架或平台。

## Common questions

### What is the difference between hello-agents and yu-ai-agent?

hello-agents: 从零开始的智能体原理与实践教程. yu-ai-agent: 基于Spring Boot 3 + Java 21构建的AI恋爱大师应用和ReAct模式自主规划智能体YuManus. See the comparison table for live GitHub stats and shared categories.

### When should I choose hello-agents over yu-ai-agent?

Choose hello-agents over yu-ai-agent when hello-agents is primarily Python; yu-ai-agent is Java; 开源免费的在线项目，提供中文和英文版的教程。用户可以快速开始学习，而且教程覆盖从基础理论到实际应用的内容，使用户能够成为智能体系统的构建者; Pricing: 该项目是完全免费开放的，所有的内容都可以在线阅读或下载。对于进阶技能和具体项目实践，则可以参考教程内容自行实施; Yu-ai-agent seems to be an advanced course or practice project that builds upon the foundational knowledge provided by hello-agents about agents’ principles and practices; Tags unique to hello-agents: llm, tutorial, agent; - 当你需要详细的理论和实践指导来学习如何构建真正的AI原生Agent时.

### When should I choose yu-ai-agent over hello-agents?

Choose yu-ai-agent over hello-agents when yu-ai-agent is primarily Java; hello-agents is Python; Yu-ai-agent seems to be an advanced course or practice project that builds upon the foundational knowledge provided by hello-agents about agents’ principles and practices; Tags unique to yu-ai-agent: vector-database, spring-ai, ai, react-agent; Also covers Model Training, Vector Databases; yu-ai-agent ships Docker support for self-hosted deployment; 使用yu-ai-agent可以帮助开发者学习并掌握结合Spring Boot, Java以及多种AI开发工具的先进应用构建方法。.

### When should I avoid hello-agents?

- 当你的目标是只专注于软件工程类的Agent开发，比如Dify或n8n这类流程驱动的应用时不应选择此教程 - 如果你更倾向于学习如何优化现有的大模型，而不是从头构建智能体系统，那么这可能不是最适合的选择

### When should I avoid yu-ai-agent?

如果您不熟悉Java或Spring Boot等开发技术和环境，那么yu-ai-agent的学习曲线可能会比较陡峭。 对于仅寻求简单API接入和应用的大模型使用者来说，这个以深度项目实战为目标的工具可能不是最佳选择。 如果您的项目要求与特定的技术栈无关，并且优先考虑使用更通用、广泛支持的语言和库来实现，则应寻找其他更适合的开发框架或平台。

### Is hello-agents or yu-ai-agent more popular on GitHub?

hello-agents has more GitHub stars (64,794 vs 2,475). Stars measure visibility, not whether either tool fits your constraints.

### Are hello-agents and yu-ai-agent open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to hello-agents or yu-ai-agent?

GraphCanon lists graph-backed alternatives at /tools/datawhalechina-hello-agents/alternatives and /tools/liyupi-yu-ai-agent/alternatives (/tools/datawhalechina-hello-agents/alternatives.md, /tools/liyupi-yu-ai-agent/alternatives.md), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at /compare/datawhalechina-hello-agents-vs-liyupi-yu-ai-agent.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, hello-agents or yu-ai-agent?

hello-agents: Very active. yu-ai-agent: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for hello-agents and yu-ai-agent?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents: /tools/datawhalechina-hello-agents/trust; yu-ai-agent: /tools/liyupi-yu-ai-agent/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=datawhalechina-hello-agents`](/api/graphcanon/graph?tool=datawhalechina-hello-agents)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_