Synrix: Powering Autonomous Systems with Ultra-Fast Edge Memory

Synrix is a cutting-edge memory framework developed by Ryjox Technologies, designed to enable universally scalable edge memory for autonomous systems. Built for high-performance environments, Synrix delivers sub-microsecond latency for hot-path reads and streams memory nodes directly from NVMe, achieving 33× higher data density than competitors. By bypassing the OS networking stack and running directly on CPU primitives, Synrix enables lightning-fast operations, transforming 100ms motion loops in robotics into under 1ms. It supports lifelong SLAM, infinite context for AI agents through O(1) recall of semantic facts from terabytes of logs, and billion-entity state management for digital twins with full ACID safety. Synrix is engineered to overcome the RAM barrier, allowing edge devices to retain massive knowledge graphs without cloud offloading—making it ideal for advanced robotics, AI agents, and digital twin applications.

Key Features:

• Sub-Microsecond Latency: Achieves <1µs for hot-path reads, enabling real-time decision-making.
• High-Density Memory Streaming: Streams directly from NVMe, delivering 33× higher data density.
• OS Bypass Architecture: Runs on CPU primitives, eliminating OS networking stack overhead.
• Lifelong SLAM Support: Enables ultra-fast motion loops in robotics, reducing latency from 100ms to <1ms.
• Infinite Context for AI Agents: Allows O(1) recall of semantic facts from massive log datasets.
• Billion-Entity State Management: Supports full ACID-safe digital twin applications.
• Edge Knowledge Graphs: Retains massive knowledge graphs on edge devices without cloud offloading.
• Scalable Edge Memory: Overcomes traditional RAM limitations in autonomous systems.

Pricing: Synrix is offered as a freemium model, with basic access available at no cost and advanced features available through a subscription plan.

Conclusion: Synrix redefines memory performance for autonomous systems, delivering unprecedented speed, scalability, and on-device intelligence. It empowers next-generation AI and robotics applications with a robust, edge-native memory framework that enables real-time, data-rich decision-making without reliance on the cloud.