An AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → can retain useful information between tasks without retraining its LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition →. Cognee's guide explains the mechanism as an external memory layer: the system stores information from earlier work, retrieves what is relevant and adds it to a later request to the model.
That makes memory a selection and maintenance problem as well as a storage problem. A previous decision may help the next task, while an outdated preference may mislead it. The guide therefore says memory must be actively managed, with consolidation, updates when facts change and eventually forgetting. Saving every conversation alone does not decide what the agent should rely on next.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
postAgent Memory Architecture GuideAkshay 🚀
articleFilesystem-Based Memory for LLM Agents: Organization, Evolution, and SustainabilitySizhe Zhou, Sheldon Yu, Hui Wei, Junda Wu, Siru Ouyang, Yizhu Jiao, Shijia Pan, Julian McAuley, Yu Zhang, Tong Yu, Jiawei Han