The recent news of OpenAI hiring Peter Steinberger, the man behind the OpenClaw AI agent, took the industry by surprise. Many focus on the corporate acquisition of talent. On the other hand, the team at MyClaw—the first to offer an OpenClaw plug-and-play implementation—sees a much deeper evolution taking place.
Is OpenClaw moving toward an “AI Agent operating system” under OpenAI?
To start, experts at MyClaw argue that OpenClaw is evolving beyond its roots as a simple software framework. Instead, it could become something similar to an operating system. In other words, it could become a runtime environment designed for agents.
They also draw a parallel to the early days of Android. Before it became the global standard for mobile devices, Android was just one of several competing platforms. In its day, Google’s acquisition of the project wasn’t about selling software. The move was about setting a standard that ensured an open ecosystem for digital services. MyClaw suggests that OpenClaw is at a similar crossroads, but for AI agents. Under this vision, OpenClaw could be the “place” where these agents live, remember, and act.
MyClaw also notes how users are moving away from simple demos. In the past, AI agents were often seen as novelties—interesting scripts that performed a single task before closing. Now, these agents are becoming persistent “operators” immediately. They maintain memory, navigate complex tools, and run continuously across different sessions. Basically, we could be in the transition from “conversational AI” (where we just talk to a model) to “agent execution” (where the AI actually performs the work).
Why the OpenAI move could accelerate AI agents’ growth
Instead of viewing the OpenAI hire as a restriction, MyClaw interprets it as a “gravitational repositioning.” When the creator of a foundational framework sits inside the most influential AI model company, the two technologies naturally begin to co-evolve. This can lead to better stability, faster iteration, and deeper integration, making the brains (the models) and bodies (the agents) work together better.
Institutional support often speeds things up. It gives developers and businesses the confidence to build long-term projects on a framework that has clear, high-level support. In the future, it might be as easy to set up a complicated AI agent as it is to launch a website.
The future of autonomous work
Ultimately, MyClaw points toward a world where agent runtimes are the default execution layer for digital work. Just as Android defined how mobile software functions, OpenClaw could define how intelligence translates into output. The goal is to move the ecosystem beyond early adopters and into the hands of a broader audience. To achieve this, lowering the entry barrier is essential. OpenClaw joining OpenAI could be a big step in this direction.
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