Walmart Inc. is giving its Element machine learning platform a major agentic upgrade and adding “Wibey” a “super agent” for software development to its growing portfolio of semi-autonomous software robots. Wibey is designed to serve up the optimal tools to developers, resolve pipeline problems and generally enhance productivity. Enhancements to Element support autonomous systems with memory, reasoning and the ability to interact with multiple tools and application programming interfaces. The platform has been given a stateful architecture that enables it to track what agents do, say, and intend. This means agents can retain context — not just for a single interaction, but across long-running workflows that span systems and services. A plugin and tool-calling ecosystem allows agents to natively interact with external systems. Element supports standardized communication protocols, including the new Agent-to-Agent and Model Context Protocols, for coordination across agents and applications. API orchestration extends coordination across distributed environments. Walmart said these features combine to enable Element to function as a platform for managing the full lifecycle of intelligent agents — from development and testing to deployment and monitoring. There are also observability tools that let teams track decision paths, reasoning steps and performance metrics. Sravana Karnati, executive vice president of global technology platforms at Walmart, said the changes enable Element to treat agents the same way it has historically handled machine learning models. Developers can register agents in an agent catalog, evaluate their behavior with built-in guardrails, and reuse them across multiple projects. Wibey interprets user intent and routes commands to the appropriate tools, APIs or agents. It provides a unified entry point for executing common tasks by software engineers, architects and product managers. One of Wibey’s core uses strengths is to generate tailored starter kits for software projects. Developers no longer have to search through internal portals for templates or services. Instead, they can use Wibey to generate a customized project framework based on a prompt and preexisting context, cutting down on time spent searching.