hello-agents
📈 Star trend+6,516 / 31d
Summary
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
📖 Highlights
Hello-Agents is a systematic tutorial from Datawhale community that teaches how to build AI-native agents from scratch. It covers core principles, classic paradigms, and hands-on implementation, guiding learners from LLM users to agent builders.
- Free open-source tutorial covering theory and practice of agent systems.
- Understand core concepts, history, and classic paradigms of agents.
- Hands-on implementation with low-code platforms and agent frameworks.
- Build your own agent framework using OpenAI native API.
- Master advanced skills: memory, context engineering, protocols, evaluation.
- Learn Agentic RL from SFT to GRPO for LLM training.
- Develop real-world projects like travel assistant and cyber town.
🤖 AI Deep Analysis
An excellent starting point for beginners to learn AI agent development, but may not satisfy those seeking advanced or production-level implementations.
✅ Pros
- Comprehensive tutorial covering agent principles and practice from scratch
- High community engagement with over 60k stars
- Covers key topics like LLM, RAG, and agent development
- Well-structured for beginners
⚠️ Cons
- May lack depth for advanced users
- Limited to Python language
- Documentation may not be fully translated to English
🎯 Use cases
- Learning how to build AI agents from scratch
- Understanding LLM and RAG integration in agents
- Educational resource for AI agent development courses
⚖️ Comparison
Compared to similar tutorials like 'LangChain Agents' or 'AutoGPT', Hello-Agents focuses more on educational step-by-step guidance rather than production-ready frameworks, making it ideal for beginners but less suitable for advanced deployment.
