发布于 : Nov 05, 2025
Nov 2025
评估
Mem0 is a memory layer designed for AI agents. Naive approaches often store entire chat histories in a database and reuse them in future conversations, which leads to excessive token usage. Mem0 replaces this with a more sophisticated architecture that separates memory into short-term recall and an intelligent long-term layer that extracts and stores only salient facts and relationships. Its architecture combines a vector store for semantic similarity with a knowledge graph for understanding temporal and relational data. This design significantly reduces context token usage while enabling agents to maintain long-term awareness, which is extremely useful for personalization and many other use cases.