#1414th of 23 in Learning and cookbooks
genai_agents
Notebook tutorials for building GenAI agents with LangGraph, LangChain and AutoGen
- Stars
- 24.5k
- License
- custom license
- Last commit
- Sep 2026
- Language
- Jupyter Notebook
Missed the latest GitHub check; these facts may be older.
Overview
A collection of 57 Jupyter notebooks that walk through agent designs, from simple conversational and Q&A agents to multi-agent systems. Most examples use LangGraph, with others using LangChain, PydanticAI, AutoGen and MCP, across business, educational and creative use cases. The README also promotes the author's paid course and newsletter.
Who it is for: Developers learning to build LLM agents through worked notebook examples
Strengths
- 57 notebooks spanning beginner to multi-agent examples, each runnable on its own
- Covers several frameworks: LangGraph, LangChain, PydanticAI, AutoGen, MCP
- Applied examples such as contract analysis, customer support and E2E testing agents
- Companion blog post and YouTube explainers for some topics
Weaknesses
- Tutorial code, not an installable library or deployable agent product
- Most notebooks depend on LangGraph or LangChain, so framework coverage is narrow
- README carries heavy course, newsletter and sponsor promotion
- License is not identified (NOASSERTION); no releases published
What it needs
- Needs LangGraph, LangChain, LLM provider API
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