AI that actually remembers your data
HumemAI combines LLMs with a graph‑structured memory layer backed by open‑source SQL and NoSQL databases (relational, graph, vector, key‑value, wide‑column, document, search), so every interaction becomes structured, persistent, and reusable for agentic workflows. Bring your tables, graphs, and documents—we store them wisely across the right engines.
Under the hood, we do hybrid retrieval—vector similarity + relationship‑aware queries across your data—so you get the best of both worlds for agentic planning and reasoning without learning query languages. You just chat; we handle the structure and storage.
Get explainable answers grounded in graph‑structured knowledge, continuously enriched from your unstructured data and prior conversations—ideal for agentic systems.
