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hello-agents — What is it?

Hello-Agents is a comprehensive tutorial for building intelligent agents from scratch, addressing the lack of systematic and practical guides in the field.

⭐ 55,857 Stars 🍴 6,825 Forks Python NOASSERTION Author: datawhalechina
Source: README View on GitHub →

Why it matters

Hello-Agents is gaining attention due to its systematic approach to teaching intelligent agent construction, filling the gap in practical tutorials. Its unique technical choice is the focus on building AI-native agents and providing hands-on experience through a self-developed framework.

Source: README

Core Features

Systematic Tutorial

Covers the entire process from basic theory to practical application, with a focus on AI-native agents.

Source: README
Hands-on Practice

Incorporates practical exercises and a self-developed framework (HelloAgents) for building intelligent agents.

Source: README
Community Contribution

Encourages community contributions and provides a platform for sharing insights and experiences.

Source: README

Architecture

The architecture is inferred to be modular, with a focus on building AI-native agents. It includes components for understanding agent principles, implementing classic paradigms, and developing a self-built agent framework. The data flow is from theoretical understanding to practical implementation.

Source: Code tree

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) HelloAgents Coze Dify n8n Systematic Tutorial Hands-on Practice Community ContributionCommunity Contribut… hello-agents Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguagePythonFrameworkHelloAgents framework, Coze, Dify, n8n, AutoGen, AgentScope, LangGraph
Key dependencies
HelloAgentsCozeDifyn8n
Infrastructure / Deployment
Not enough information.
Source: README, Code tree

Quick Start

1. Clone the repository: `git clone https://github.com/datawhalechina/Hello-Agents.git` 2. Navigate to the project directory: `cd Hello-Agents` 3. Install dependencies: `pip install -r requirements.txt` 4. Run the project: `python main.py`
Source: README Installation/Quick Start

Use Cases

Hello-Agents is suitable for AI developers, software engineers, students, and self-learners interested in AI technology. It is useful in scenarios such as building AI-native agents, developing intelligent systems, and preparing for AI-related job interviews. Specific problems it solves include a lack of practical tutorials and the need for hands-on experience in building intelligent agents.

Source: README

Strengths & Limitations

Strengths

  • Strength 1: Comprehensive and practical tutorial for building intelligent agents
  • Strength 2: Focus on AI-native agents and hands-on experience
  • Strength 3: Encourages community contribution and knowledge sharing

Limitations

  • Limitation 1: Limited information on infrastructure and deployment
  • Limitation 2: May require prior knowledge of Python and AI concepts
Source: README, Code tree

Latest Release

V1.0.2 (2026-02-10): Hello-agents V1.0.2 20260210 - Fixed all issues reported within the first three months after the project release, including display issues, factual errors, and code errors.

Source: GitHub Releases

Verdict

Hello-Agents is a valuable resource for anyone interested in building intelligent agents. It is particularly suitable for individuals and teams looking to gain hands-on experience in AI-native agent construction and system development.

Source: Synthesis
Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-05-24 23:41. Quality score: 85/100.

Data sources: README, GitHub API, dependency files