Keeping track of conversation history

Maintaining conversation history creates experiences that feel natural and reduce repetition. Unlike human conversations, where context flows naturally, AI systems must deliberately track and use relevant information. Context works at different levels. Short-term context tracks the current topic and recent messages. Session context remembers information during a single conversation. Long-term context stores preferences across multiple conversations. Despite advances, many current AI applications struggle with context management. Users often find themselves reminding the AI of information they've already provided earlier in the conversation, creating frustrating experiences. Good systems balance remembering enough without bringing up irrelevant information. Context should be applied naturally. Instead of saying "As you mentioned earlier," the system simply shapes responses using what it knows. Privacy matters in context management. Users should control what information persists and understand how it's used. The system should know when previous information still applies versus when circumstances have changed, creating experiences where users feel understood without repetition.