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@@ -41,7 +41,7 @@ This repo may be useful if you're working on:
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  ## Comparative Context
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- Most popular chatbot services — especially those designed around adult or NSFW themes — claim to be unfiltered. But "unfiltered" is often superficial; true interactivity requires **persona fidelity** and **longer memory windows**, neither of which can be achieved without additional tooling beyond the LLM API itself.
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  Platforms like [crushon.ai](https://crushon.ai), for example, take a hybrid approach: character memory is retained across sessions, context is layered via system prompt loops, and responses reflect user-specific tone history. In contrast, others like Chai or Replika often rely on one-shot memory or limited local feedback loops, which creates a sense of disconnection during prolonged interactions.
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  ## Comparative Context
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+ Most popular chatbot services — especially those designed around adult or NSFW themes — claim to be unfiltered. But "unfiltered" is often superficial; true interactivity requires persona fidelity and longer memory windows, neither of which can be achieved without additional tooling beyond the LLM API itself.
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  Platforms like [crushon.ai](https://crushon.ai), for example, take a hybrid approach: character memory is retained across sessions, context is layered via system prompt loops, and responses reflect user-specific tone history. In contrast, others like Chai or Replika often rely on one-shot memory or limited local feedback loops, which creates a sense of disconnection during prolonged interactions.
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