GibsonAI

Memori (from MemoriLabs, sometimes referred to as GibsonAI) is a memory infrastructure layer designed for agentic and production AI systems. It is LLM-agnostic and helps AI agents and applications persist, organize, and recall information from conversations and agent executions as structured, queryable memory. Memori emphasizes explainability, role-based access control, and privacy, enabling developers and enterprises to reduce token use, speed up responses, and maintain secure, auditable memory across both cloud and self-hosted environments. It is ideal for developers building complex AI agents and enterprises needing persistent, secure agent memory and explainable context recall.