Over the past year, the AI ecosystem has moved from simple chatbots to autonomous agents capable of running multi-step workflows. Frameworks make it easy to orchestrate tasks, call tools, and store conversational memory. But beneath the surface, there is a structural weakness most teams only discover in production.
Neuron Kernel is a high-performance engine designed to solve memory loss in autonomous AI agents. By providing a 'Virtual-Shadow' state layer, it allows agents to persist operational progress across complex, multi-step simulations. Optimized for high-throughput synthetic workloads.
