GH Repository · NirDiamant
GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
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Jupyter Notebookagent-frameworkmulti-agent-systemsmcpmachine-learningautonomous-agentsagentic-aiagentsgenaitutorialslangchaingenerative-airagailanggraphllmsopenaiai-agentsmulti-agentllmpython
A collection of 50+ tutorials and implementations covering Generative AI agent techniques, written in Python as Jupyter Notebooks. It progresses from basic conversational bots to complex multi-agent systems, with examples touching LangChain, LangGraph, RAG, and MCP.
You want to learn or prototype agent patterns from worked, runnable examples rather than building from scratch.
Use it to
- Study agent design patterns step by step
- Copy notebook implementations as starting points
- Compare single-bot vs multi-agent approaches
- Explore LangGraph and RAG examples
- Prototype an autonomous agent quickly
For Developers learning to build LLM-based agents
- Role
- agent-framework
- Language
- Jupyter Notebook
- Licence
- custom (licence file present)
- Forks
- 4,091
- Open issues
- 2
- Last push
- 2026-09-15
topicsagentstutorialslanggraphmulti-agentragpython