---
title: "hello-agents vs ai-agents-for-beginners"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/datawhalechina-hello-agents-vs-microsoft-ai-agents-for-beginners"
tools: ["datawhalechina-hello-agents", "microsoft-ai-agents-for-beginners"]
---

# hello-agents vs ai-agents-for-beginners

Neutral, constraint-first comparison with live GitHub stats.

| | [hello-agents](/tools/datawhalechina-hello-agents.md) | [ai-agents-for-beginners](/tools/microsoft-ai-agents-for-beginners.md) |
| --- | --- | --- |
| Tagline | 从零开始的智能体原理与实践教程 | A course for beginners to start building AI Agents |
| Stars | 64,794 | 68,839 |
| Forks | 8,032 | 22,818 |
| Open issues | 138 | 10 |
| Language | Python | Jupyter Notebook |
| 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。 | Here are critical facts for decision-making regarding 'ai-agents-for-beginners' tool. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | The MIT license indicates that users can freely use, modify, and distribute the software provided they include the original copyright and license notice. |
| Categories | AI Agents, Developer Tools | AI Agents |

## Trust and health

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

| | [hello-agents](/tools/datawhalechina-hello-agents.md) | [ai-agents-for-beginners](/tools/microsoft-ai-agents-for-beginners.md) |
| --- | --- | --- |
| Days since push | 2d | 1d |
| Open issues (now) | 138 | 10 |
| Security scan | No lockfile | No criticals |
| Full report | [trust report](/tools/datawhalechina-hello-agents/trust.md) | [trust report](/tools/microsoft-ai-agents-for-beginners/trust.md) |

**Typed relationship:** hello-agents _(related)_ ai-agents-for-beginners

## 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: ai-agents-for-beginners

- **Requirements:** Sparse checkout is recommended to avoid downloading all translations if only the core lessons are needed.
- **Adopt for:** Here are critical facts for decision-making regarding 'ai-agents-for-beginners' tool.
- **License detail:** The MIT license indicates that users can freely use, modify, and distribute the software provided they include the original copyright and license notice.

## Choose when

### Choose hello-agents if…

- hello-agents is primarily Python; ai-agents-for-beginners is Jupyter Notebook.
- License: hello-agents is Other, ai-agents-for-beginners is MIT.
- 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.
- Graph edge: hello-agents is a typed related of ai-agents-for-beginners - see the relationship row above.
- Tags unique to hello-agents: llm, rag, tutorial, agent.
- Also covers Developer Tools.
- - 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 ai-agents-for-beginners if…

- ai-agents-for-beginners is primarily Jupyter Notebook; hello-agents is Python.
- License: ai-agents-for-beginners is MIT, hello-agents is Other.
- Requirements: Sparse checkout is recommended to avoid downloading all translations if only the core lessons are needed..
- Graph edge: ai-agents-for-beginners is a typed related of hello-agents - see the relationship row above.
- Tags unique to ai-agents-for-beginners: autogen, semantic-kernel, generative-ai, agentic-ai.
- - If you are a beginner looking to understand and start building AI agents.

## 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 ai-agents-for-beginners

- - If you're seeking advanced content; the course appears to be designed specifically for beginners without advanced topics.
- - When downloading this repository directly as it comes with a significantly larger package due to multiple language translations. This could impact download and storage efficiency if not needed.

## Common questions

### What is the difference between hello-agents and ai-agents-for-beginners?

hello-agents: 从零开始的智能体原理与实践教程. ai-agents-for-beginners: A course for beginners to start building AI Agents. See the comparison table for live GitHub stats and shared categories.

### When should I choose hello-agents over ai-agents-for-beginners?

Choose hello-agents over ai-agents-for-beginners when hello-agents is primarily Python; ai-agents-for-beginners is Jupyter Notebook; License: hello-agents is Other, ai-agents-for-beginners is MIT; 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; Graph edge: hello-agents is a typed related of ai-agents-for-beginners - see the relationship row above; Tags unique to hello-agents: llm, rag, tutorial, agent; Also covers Developer Tools; - 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 ai-agents-for-beginners over hello-agents?

Choose ai-agents-for-beginners over hello-agents when ai-agents-for-beginners is primarily Jupyter Notebook; hello-agents is Python; License: ai-agents-for-beginners is MIT, hello-agents is Other; Requirements: Sparse checkout is recommended to avoid downloading all translations if only the core lessons are needed.; Graph edge: ai-agents-for-beginners is a typed related of hello-agents - see the relationship row above; Tags unique to ai-agents-for-beginners: autogen, semantic-kernel, generative-ai, agentic-ai; - If you are a beginner looking to understand and start building AI agents.

### 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 ai-agents-for-beginners?

- If you're seeking advanced content; the course appears to be designed specifically for beginners without advanced topics. - When downloading this repository directly as it comes with a significantly larger package due to multiple language translations. This could impact download and storage efficiency if not needed.

### Is hello-agents or ai-agents-for-beginners more popular on GitHub?

ai-agents-for-beginners has more GitHub stars (68,839 vs 64,794). Stars measure visibility, not whether either tool fits your constraints.

### Are hello-agents and ai-agents-for-beginners open source?

Yes - both are open-source projects on GitHub (hello-agents: Other, ai-agents-for-beginners: MIT).

### Where can I find alternatives to hello-agents or ai-agents-for-beginners?

GraphCanon lists graph-backed alternatives at /tools/datawhalechina-hello-agents/alternatives and /tools/microsoft-ai-agents-for-beginners/alternatives (/tools/datawhalechina-hello-agents/alternatives.md, /tools/microsoft-ai-agents-for-beginners/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-microsoft-ai-agents-for-beginners.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, hello-agents or ai-agents-for-beginners?

hello-agents: Very active. ai-agents-for-beginners: Very active. 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 ai-agents-for-beginners?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents: /tools/datawhalechina-hello-agents/trust; ai-agents-for-beginners: /tools/microsoft-ai-agents-for-beginners/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/_