LangGraph models an agent as an explicit graph of nodes and transitions, so you control exactly how state flows, when to loop, and where to branch. It suits complex, reliable agents where the implicit control of simpler frameworks is not enough.

Book cover: AI for Video, Volume 7 of the Fora Soft Video Engineering Handbook

The book · Volume 7 of 7

AI for Video: A Complete Guide to Intelligence in Video Products: From Real-Time Pipelines and Agents to Serving, Cost, Compliance, and Verticals

LangGraph gives explicit control over agent state and loops, which pays off once an agent has to behave the same way every time. This volume covers LangGraph among agent frameworks: primitives of the agent loop, memory and tools, serving infrastructure, and the cost of running agents in production. Written by Nikolay Sapunov, CEO at Fora Soft.

Read it on Amazon →Kindle & paperback · Fora Soft Video Engineering Handbook

Building a LangGraph agent that must stay predictable in production?

Describe the agent's task, and we will design the LangGraph state, tool calls and failure handling, with a cost estimate per run. 250+ video products shipped since 2005.

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