3 articles in this tag.
You can build a working AI agent in an afternoon: install LangGraph, define a state schema, write two nodes (reason and act), attach a real tool like web search, wire the edges, and run the loop. This guide shows every step.
LangGraph wins on control and debuggability. CrewAI wins on team abstractions. AutoGen wins on conversational multi-agent patterns. No single framework is best — the right choice depends on your task structure, team size, and tolerance for complexity.
LangGraph makes agents explicit: nodes are functions, edges are routing logic, and state is a typed dict that persists across every step. In 30 minutes you can build a stateful research agent that searches the web and synthesizes a summary.