leslieo2/LangGraph-Mastery-Playbook

LangGraph Mastery Playbook: guided, code-first lessons for building memory-aware LLM agents and workflows with LangGraph, TrustCall, and LangChain.

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This project provides a structured learning path for building advanced AI agents and workflows using LangGraph. It offers code-first, runnable Python modules that demonstrate how to create memory-aware LLM agents, integrate external tools, and manage complex conversational flows. This is ideal for AI/ML engineers and researchers who want to rapidly prototype and deploy sophisticated LLM applications.

Use this if you are an AI/ML engineer or researcher looking for hands-on, script-based tutorials to master LangGraph for building production-ready LLM agents and workflows.

Not ideal if you prefer learning through Jupyter notebooks or are not comfortable working with Python scripts and command-line execution.

LLM-development AI-agent-orchestration conversational-AI workflow-automation machine-learning-engineering
No License No Package No Dependents
Maintenance 6 / 25
Adoption 8 / 25
Maturity 5 / 25
Community 7 / 25

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Python

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Last pushed

Nov 04, 2025

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