Cognee

Based on the available evidence, Cognee is best judged as an open-source memory infrastructure for agents that is clearly gaining attention and has a well-defined scope, but it would still be too strong to say it is broadly production-proven. Proof of attention mainly comes from GitHub-trending style posts, highly shared X mentions, and star-growth claims; those show interest, not reliability. Proof of usefulness is stronger in the official GitHub repo description and in Zhihu technical explainers that discuss remember/recall/forget, MCP, and backends such as Postgres, Neo4j, and pgvector. It is not a general chatbot, and it is not merely a vector database; a better analogy is a long-term memory operating layer for agents, or RAG/memory infrastructure with a knowledge-graph layer.

In practical terms, the evidence consistently points to two core jobs. First, it stores important conversational context as long-term memory across sessions, with recall and forget operations. Second, it turns unstructured data into graph-like knowledge that agents can query through vector retrieval and graph retrieval.