Show HN: I got tired of AI agents using outdated libs, so I built them an OS (neonia.io)

A new platform called Neonia Cloud OS has been unveiled, designed to streamline the process of developing AI agents by integrating essential functionalities into a seamless operating system. This OS unites secure WebAssembly execution, Governed Graph Memory, and an innovative method for dynamic tool discovery, which collectively cut API costs by 99% and address issues related to agentic hallucinations. With a plug-and-play architecture, developers can set up without the typical complexities of Docker or local Python environments, significantly reducing the time-to-value to just one minute. This initiative is significant for the AI/ML community as it promises to enhance collaboration and efficiency among AI agents by creating a unified data bus where tools, memory, and tasks can interact natively. The dual-memory system allows agents to leverage cheap semantic states alongside complex causal rules, improving performance and memory management. Additionally, the platform supports asynchronous coordination through native message queues, enabling seamless communication and task delegation among agents. With its foundation built on minimizing setup barriers and operational costs, Neonia Cloud OS has the potential to change how developers approach AI agent orchestration, making it more flexible and accessible.