Memory is pivotal in enhancing the performance and user experience of AI agents by storing information about previous interactions. This concept is application-specific, meaning different agents will remember different things based on their use case. The main types of memory—procedural, semantic, and episodic—mimic human memory. Each type serves a distinct purpose, from recalling how to perform tasks to storing facts or remembering past interactions. Methods to update agent memory include 'in the hot path', 'in the background', and user feedback. LangChain integrates these concepts to improve its functionalities, providing robust tools for developers.
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Memory is application-specificTypes of memoryHow to update memoryWhy do we care about memory for agents?Sort: