[Question]Do Memory Settings Override the Model’s Default Settings?

[kmilo9999]

I’m trying to understand how memory settings interact with model-level configurations.

From what I’ve seen, models like ChatGPT or Gemini already come with default context window sizes (their built-in short-term memory). However, tools like LibreChat also have their own memory settings, which seem to be enabled by default.

This raises a couple of questions:

When LibreChat memory is turned on, does it overwrite the model’s native context window behavior?

Or does it act more like an additional layer, storing conversation history and feeding it back into the model, while the model’s default context window still applies?

If both are active, how do they work together in practice?

I want to make sure I’m not misunderstanding how “default model memory” vs. “application-managed memory” interact. Any clarification would be helpful!