Trying to sanity check my understanding of “agent” systems.
r/LocalLLaMA
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Generative AI
If I strip it down, most implementations seem to be: a loop the same model called repeatedly different prompts for planning / execution / review shared state passed between steps So “multi-agent” ends up being something like: planner → worker → critic → repeat Where I’m unsure is where the real complexity actually lives. Is it mainly: state management? tool integration? enforcing constraints / completion? Or am I missing something deeper that actually justifies the “agent” framing? Genuinely asking - trying to separate what’s real vs what’s just terminology.