datawhalechina/hello-agents
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Covers both classical reasoning patterns (ReAct, Plan-and-Solve, Reflection) and modern multi-agent systems, with hands-on implementation of a custom agent framework from scratch using OpenAI APIs. Integrates practical exposure to low-code platforms (Dify, Coze, n8n) and production frameworks (AutoGen, AgentScope, LangGraph), while emphasizing advanced techniques like RAG, context engineering, MCP protocols, and agentic RL training pipelines.
27,246 stars. Actively maintained with 17 commits in the last 30 days.
Stars
27,246
Forks
3,059
Language
Python
License
—
Category
Last pushed
Mar 06, 2026
Commits (30d)
17
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/datawhalechina/hello-agents"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Shubhamsaboo/awesome-llm-apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and...
langroid/langroid
Harness LLMs with Multi-Agent Programming
curiousily/AI-Bootcamp
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs,...
lavague-ai/LaVague
Large Action Model framework to develop AI Web Agents