LLM applications typically remain stateless, forgetting user context between sessions. While RAG helps retrieve external data, it struggles with evolving user preferences and long-term memory. Two open-source libraries address this gap: mem0 provides explicit, developer-controlled memory items through APIs with fine-grained
Table of contents
How LLMs store contextThe emergence of Retrieval-Augmented Generation (RAG)How memory is different from RAGWhy do in-house solutions fail?Introduction to mem0Introduction to SupermemoryWhere they differHands-on: Integration with Vercel AI SDKConclusionSort: