Large language models (LLMs) like GPT-4 and Claude excel at generating human-like text, but they face a critical limitation: no inherent memory. Every interaction requires developers to supply relevant context within a fixed token capacity called a context window. While these windows have grown from 1K to over 1M tokens,
