Building Better Agents: LLM Memory Types and Trade-Offs

Engineers often treat large language model (LLM) memory as a simple feature toggle. But in a production environment, memory acts as an agent’s central nervous system, determining whether a system feels like a coherent assistant or a fragmented script.In practice, LLM memory is a high-stakes design challenge. To build resilient agents, you must move beyond basic chat history and navigate a complex decision surface where every choice impacts scalability and reliability and implement best prompt engineering techniques.