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What is this?
A collection of 50+ tutorials and implementations of Generative AI agent techniques, from basic conversational bots to complex multi-agent systems, packaged as hands-on Python notebooks.
A collection of 50+ tutorials and implementations of Generative AI agent techniques, from basic conversational bots to complex multi-agent systems, packaged as hands-on Python notebooks.So is it a library I install, or what do I actually get?Neither — it is a catalog of self-contained Jupyter notebook tutorials. Each notebook implements one agent technique in Python that you read, run, and adapt.
Neither — it is a catalog of self-contained Jupyter notebook tutorials. Each notebook implements one agent technique in Python that you read, run, and adapt.How do I get started with one of these?Pick an agent from the categorized table in the README and open its notebook in Jupyter — each is a step-by-step tutorial with its own code and documentation.
Pick an agent from the categorized table in the README and open its notebook in Jupyter — each is a step-by-step tutorial with its own code and documentation.Do I need to know LangChain or LangGraph beforehand?No — the track starts with beginner agents built on LangChain and PydanticAI, and includes framework introductions such as an Introduction to LangGraph and the Model Context Protocol.
No — the track starts with beginner agents built on LangChain and PydanticAI, and includes framework introductions such as an Introduction to LangGraph and the Model Context Protocol.Is this something I can deploy, or purely for learning?It is a learning resource, not a product — there is nothing to install or deploy, since each notebook is a standalone technique. For production-grade shipping the author points to the separate Agents Towards Production repo.
It is a learning resource, not a product — there is nothing to install or deploy, since each notebook is a standalone technique. For production-grade shipping the author points to the separate Agents Towards Production repo.Are these tutorials for beginners or for people who already build agents?Both — the collection spans from a simple conversational agent to advanced multi-agent systems and targets everyone from people taking their first AI steps to seasoned practitioners.
Both — the collection spans from a simple conversational agent to advanced multi-agent systems and targets everyone from people taking their first AI steps to seasoned practitioners.What kinds of agents can I learn to build?Practical ones across categories: business agents (customer support, travel planning, contract analysis), creative ones (music compositor, meme generator, murder mystery game), analysis agents (self-healing codebase, sales call analyzer), plus news and shopping agents like ShopGenie.
Practical ones across categories: business agents (customer support, travel planning, contract analysis), creative ones (music compositor, meme generator, murder mystery game), analysis agents (self-healing codebase, sales call analyzer), plus news and shopping agents like ShopGenie.Which agent frameworks does it teach?Mostly LangChain and LangGraph, with additional tutorials on PydanticAI, AutoGen, OpenAI Swarm, and the Model Context Protocol (MCP) for connecting AI to external resources.
Mostly LangChain and LangGraph, with additional tutorials on PydanticAI, AutoGen, OpenAI Swarm, and the Model Context Protocol (MCP) for connecting AI to external resources.Is the collection still being updated?Yes — it lists 55 tutorials and growing, with recent additions including Trace-Based Agent Evaluation, a Human-in-the-Loop Approval Agent, a Document Intake Agent, and an Art Tourguide with LightRAG.
Yes — it lists 55 tutorials and growing, with recent additions including Trace-Based Agent Evaluation, a Human-in-the-Loop Approval Agent, a Document Intake Agent, and an Art Tourguide with LightRAG.Does the author have similar repos worth knowing about?Yes — RAG Techniques with 40+ retrieval-augmented generation notebooks, Agents Towards Production for production-grade agents, Prompt Engineering Techniques, and Agent Memory Techniques with 30 notebooks on vector stores, graphs, Mem0, and Zep.
Yes — RAG Techniques with 40+ retrieval-augmented generation notebooks, Agents Towards Production for production-grade agents, Prompt Engineering Techniques, and Agent Memory Techniques with 30 notebooks on vector stores, graphs, Mem0, and Zep.What are similar projects?ai-agents-the-definitive-guide, agents-towards-production, agentic-rag-for-dummies, 500-AI-Agents-Projects, adk-python, awesome-llm-apps, RAG_Techniques, ai-engineering-hub
ai-agents-the-definitive-guide, agents-towards-production, agentic-rag-for-dummies, 500-AI-Agents-Projects, adk-python, awesome-llm-apps, RAG_Techniques, ai-engineering-hubWhich topics is it in?genai, langgraph, tutorials, human-in-the-loop, llms, multi-agent-systems, langchain, autonomous-agents, jupyter notebook, chatbot, rag, agentic-ai
genai, langgraph, tutorials, human-in-the-loop, llms, multi-agent-systems, langchain, autonomous-agents, jupyter notebook, chatbot, rag, agentic-ai