AI that separates conversation from data — just like human memory
HumemAI builds AI agents with persistent, explainable memory using two distinct systems:
Episodic Memory: Your natural language conversations are automatically parsed and stored as persistent temporal knowledge graphs. Every interaction is captured with full context — the "where", "when", and "what" — enabling agents that truly remember.
Semantic Memory: Your existing data stays in its optimal format. Whether structured or unstructured, HumemAI's intelligent adapters unify access across systems using cutting‑edge multi‑model database technology.
Together, these enable hybrid retrieval: relationship‑aware queries across conversation history and your data, delivering answers that are both contextually grounded and fully explainable.
