SQL-like queries against beliefs beat vector search's 10% precision with claimed 100% accuracy.
Developers building LLM-powered applications
Zep · Mem0 · Supermemory
Deterministic graphs instead of vector embeddings sound clever, but long-context windows and RAG tools already solve this problem cheaper.
Knowledge graph traces beat vector similarity for multi-hop reasoning queries.
LLM memory wrapper when Mem0, LangChain Memory, and dozens of others already exist.
Graph-based context compression beats lossy summarization when tokens run out.
96.6% LongMemEval score using verbatim storage instead of AI summarization.
Structured memory layers for agents—but vector search already solves this problem.