Product
A memory layer for agentic AI.
Users interact through natural language, upload documents and data, and let HumemAI organize knowledge into the right memory structures across text, tables, graphs, and vectors.
What HumemAI does
HumemAI helps agents remember across sessions. It combines conversational memory with connected knowledge so the system can retrieve context, reason across formats, and remain inspectable instead of acting like a stateless chat wrapper.
How it works
- Episodic memory captures conversations and interactions over time.
- Semantic memory keeps documents, tables, graphs, and data in useful structures.
- Hybrid retrieval lets agents query relationships, vectors, and structured knowledge together.
Product paths
HumemAI can be explored in different ways depending on how hands-on you want to be. Some teams start by working directly with the open-source components, while others want a hosted setup or a more tailored deployment around their workflow.
For a clearer breakdown of self-hosted, hosted, and custom options, see Pricing.
