Agent orchestration
Stateful AI agent workflows
A working LangGraph agent that plans, calls tools, and carries state across multi-step tasks. A walkthrough of the orchestration behind the answers.
Inside the build
Graph-based orchestration
Conditional tool routing
State across reasoning steps
Overview
An end-to-end demo of an agentic workflow built on LangChain and LangGraph, showing how graph-based orchestration lets an LLM plan, call tools, and carry state across multi-step reasoning loops.
The companion YouTube walkthrough covers how nodes, edges, and conditional transitions come together into a working agent — and where LangGraph wins over a flat LangChain chain for anything beyond a single-turn task.
Stack
- LangChain
- LangGraph
- Python
- LLM Agents