Seamless: Self-Maintaining Knowledge Graph Memory for Retrieval-Augmented Language Models
Large language model (LLM) agents have bounded context windows and therefore need external storage to retain knowledge across long interactions. Keeping that knowledge consistent requires reconciling changing facts, duplicate mentions, and competing retrieval priorities. We present Seamless, a self-maintaining knowledg...