Remembra

Remembra provides a robust memory layer, allowing systems to recall and utilize past interactions for enhanced performance. Key capabilities include: * Entity resolution and alias mapping * Temporal memory with decay and historical queries * Hybrid search combining vector and keyword methods * Enterprise-grade security and PII handling * Simple self-hosting and full data ownership This platform addresses the fundamental challenge of statelessness in conversational and data-driven applications by providing a persistent, contextual memory store. It automatically identifies and links entities across interactions, ensuring consistency and deeper understanding. The temporal features allow memories to decay naturally or be queried historically, mimicking human recall. Beyond basic storage, Remembra integrates hybrid search capabilities, combining semantic understanding with traditional keyword matching and graph traversal for highly relevant recall. It offers advanced security features like AES-256-GCM encryption, PII detection, and audit logging, making it suitable for sensitive environments. The intuitive dashboard provides a visual browser for memories and entity graphs. Designed for developers and engineering teams building sophisticated interactive applications, Remembra ensures continuity and personalization across user sessions. Its self-host ready deployment means your data remains entirely within your infrastructure, providing control and privacy. Ideal for customer service agents, personalized recommendation systems, and long-running project assistants.