#langgraph

Four agent frameworks, four different bets. The honest comparison — what each gets right, where each leaks, and the decision tree for picking one (or composing several).

The three control-flow patterns that turn a toy LangGraph agent into a production system — bounded cycles, parallel fan-out/merge branches, and interrupt-resume human approval gates.

Six serious frameworks, four orchestration styles, and one tired question I keep getting asked. Here's the decision tree I actually use.

LangGraph turns the agent loop into an explicit state graph — nodes, edges, reducers, checkpointers. The mental model, the type system, and the patterns that make it production-grade.

What actually goes inside a production AI agent — the reasoning loop, the tool layer, memory, control flow, and the surface where models meet your business systems.