LangGraph is built by LangChain and sits across AI Agents, AI Backend. Graph-based control for production agents with state and rollback. Where it really earns its place is agent workflows, state machines, orchestration. On pricing it lands as open source, which means free to run, source available, bring your own keys or self-host. Read the community tips below before your first serious session, then check the tutorials to get hands-on fast.
Best for
Tips from the floor
Lean on it for agent workflows first, that is where it is strongest.
Keep prompts scoped to one state machines step at a time for cleaner results.
Self-host or bring your own key to keep costs near zero on heavy runs.
Tutorial videos·15
More tutorials on YouTubeTop 8 cover LangGraph directly. The rest are related picks from the same space.
28:30Tutorial 1-Getting Started With LangGraph- Building Stateful Multi AI AgentsKrish Naik
19:15Learn LangGraph - The Easy WayMenlo Park Lab
32:40Agentic AI Tutorial for Beginners | Langgraph TutorialKrish Naik
41:20LangGraph Tutorial - How to Build Advanced AI Agent SystemsTech With Tim
65:00Tutorials 2-Live Getting Started With LangGraph For Building AI AgentsKrish Naik
138:00LangGraph Complete Course for Beginners – Complex AI Agents with PythonfreeCodeCamp.org
12:50LangChain Academy New Course: Introduction to LangGraphLangChain
16:35LangGraph Explained for BeginnersCoding Crashcourses
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