Why doesn't an LLM 'remember' previous messages in a conversation on its own?

Each API call to the model is stateless — the model has no persistent memory between calls. What looks like 'remembering' is the application resending the entire prior conversation history as part of the new prompt every single time, so the model is just reading the full transcript fresh on each turn.