Build LangChain apps with agents that remember.
What it does
Guides the design of LLM applications with tool-using agents, conversation memory, and coordinated workflows.
When to use it
Use when building autonomous agents, multi-step LLM workflows, conversation memory, document pipelines, or production LLM applications.
How to use it
It changes how the agent designs and implements LLM applications by supplying LangChain and LangGraph architecture patterns and examples.
What you provide
- An existing project
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What you need · 2
The guide concerns LangChain 1.x applications and lists langchain 1.2.x as the high-level orchestration package.
Uses LangGraph for agent orchestration and state management.
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