Most agent frameworks look similar in the happy path.
There is an input, a plan, a tool call, a result, maybe a memory layer. The names change. The diagrams get more complicated. The core loop is usually the same.
The real differences show up when something breaks. Can the agent recover from a bad tool result? Can it preserve state across a long task? Can a human interrupt without corrupting the workflow? Can the system explain what happened after the fact?
That is where the architecture becomes visible. Not in the demo. In the retry, the handoff, the checkpoint, the review boundary.