Cognee: Using knowledge graphs to install memories for AI Agents is more ambitious than you think

If you have paid attention to the memory solution of AI Agent in the past year, the names Mem0 and Zep are probably familiar to you. Mem0 takes the vector-first route, 47K Stars, five-minute integration, and focuses on user preference memory. Zep uses a temporal knowledge graph to track fact changes in conversations and achieved a score of 63.8% on LongMemEval. Then Cognee showed up. It is neither vector first nor dialogue first, but chooses a heavier path: knowledge graph first. Cognee's positioning is not to "add a memory cache to the chatbot", its ambition is much greater. It defines itself as a set of memory infrastructure, vector embedding