Your agentic runtime is already antiquated
he enterprise agentic runtime your team is building was likely built on a model of how people work in the enterprise: handling individual tasks. That evolved to serial chained tasks, and then, maybe, to semi-autonomous workflows where the agent decides what to do based on the input and training of your SMEs.
The AI companies have already evolved past task-based workflows.
Whats next? Always-on agents, an enterprise evolution of OpenClaw. Backed by a persistent user-dedicated secure VM or workspace, designed to understand an individual's "everything", able to collaborate across shared team contexts, with full action autonomy, 24/7/365.
Google's Gemini Spark, Meta's Muse, OpenAI's Dots, xAI's Grok Bot, and even OpenClaw Foundation's OpenClaw have all shed the nerdy concept of a harness, past agentic runtime, and circled-back to something simpler: an agent. It's more understandable, easily explainable, and importantly, corporately demonstrable. And they're all targeting the enterprise.
Anthropic hasn't announced anything that sounds/feels similar yet, but there are signs. As of October 6th, Anthropic is transitioning Claude Cowork's local tasks to the cloud, which could be laying the foundation for an always-on agent. We'll see.
My point is, given the pace of AI innovation, you probably shouldn't be building a bespoke agentic runtime or harness.
And yes, there's a joke in here somewhere about Microsoft Clippy on steroids (or something like that), but I'll leave the comedy to the comedians.
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