Home/AI Agents/hello-agents

hello-agents

datawhalechina/hello-agents

A comprehensive guide to building intelligent agents from scratch

GitHub Website

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

93views this month

80k stars9.9k forksLast push Sep 17, 2026 Python Other

Decision brief

Hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python.

Good fit when

When you want to focus on building AI-native agents and understand their core principles and practical implementation.
If you are interested in a comprehensive guide that covers the development of intelligent agents from scratch, including hands-on experience with the HelloAgents framework.

Avoid when

If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development.
If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.

Pricing:: freemium - The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository.
Requirements:: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework.

Observed Sep 18, 2026 · Source: enrich:decision_facts

hello-agents alternatives Trust report

hello-agents vs langflow hello-agents vs llm-course hello-agents vs easy-vibe

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Sep 18, 2026

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

Install

pip install hello-agents

PyPI

How it fits your stack(15)

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.

ai-agent-book

A book on AI Agent design principles and engineering practices, including 109 accompanying experiments.

48k★

agentscope

Build and run agents you can see, understand and trust.

32k★

openai-agents-python

A lightweight, powerful framework for multi-agent workflows

30k★

Evidence and technical details

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

Overview

Hello-Agents is a systematic learning tutorial for building intelligent agents, focusing on AI-native agents and providing hands-on experience with core principles and practical implementation.

Capability facts

Languages: python
Source: github.language · Sep 18, 2026

Graph entities

LangGraphframework AutoGenframework Difyframework AgentScopeframework

Compatibility

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

LangGraph integrationLangGraph

Source: README excerpt (regex_v1, Sep 18, 2026)

docs/chapter6/第六章%20框架开发实践.md) | AutoGen、AgentScope、LangGraph 等主流框架应用 | ✅ |

Source link

README

<div align="right" <a href="./README EN.md" English</a 中文 </div <div align='center' <img src="./docs/images/hello agents.png" alt="alt text" width="100%" <h1 Hello Agents</h1 <h3 🤖 《从零开始构建智能体》</h3 <div align="center" <a href="https://trendshift.io/repositories/15520" target=" bl...

For agents

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

/tools/datawhalechina-hello-agents.md GET /api/graphcanon/tools/datawhalechina-hello-agents GET /api/graphcanon/graph?tool=datawhalechina-hello-agents