OpenClaw has become the fastest-growing open source project in history, surpassing Linux adoption levels in just three weeks. NVIDIA CEO Jensen Huang says the AI agents platform could mark one of the most important software releases ever.
Open source AI agents platform OpenClaw has recorded unprecedented adoption, surpassing the decades-long growth trajectory of Linux in just three weeks, according to NVIDIA CEO Jensen Huang.
Huang described the platform as a landmark development in software history. “OpenClaw is probably the single most important release of software, you know, probably ever,” he said.
The project is now regarded as the fastest-growing open-source software in GitHub history by stars and downloads. Huang noted that its adoption has already overtaken that of Linux, which took decades to reach similar milestones.
“If you look at OpenClaw and the adoption of it, you know, Linux took, right, some 30 years to reach this level. OpenClaw in, what is it, 3 weeks, has now surpassed Linux. It is now the single most downloaded open source software in history, and it took 3 weeks,” he said.
Huang added that the adoption curve itself defies typical software growth patterns. “If you look at the line even in semi-log, this thing is straight up. It’s vertical. It looks like the, it looks like the Y-axis. I’ve never seen anything like it. It really looks like a Y-axis.”
Beyond adoption metrics, Huang said OpenClaw represents a shift in how AI is used. “The last prompt, the way you kind of think about it, was ‘what is’, ‘when is’, ‘who is’, right? That’s the last prompt. This now prompt goes ‘create’, ‘do’, ‘build’, ‘write’.”
“What’s happened? The last prompt was queries. This prompt are actions. They’re tasks. Do something for me.”
According to Huang, OpenClaw agents can autonomously research information, read manuals, apply tools, and execute complex tasks.
This shift also has major implications for compute demand. A typical generative AI prompt produces a single response, while agentic tasks can consume around 1,000 times more tokens. Continuous OpenClaw agents running in the background may consume up to one million times more tokens.
“We have a whole bunch of OpenClaw in the company. They’re all continuously running, doing things for us, writing, developing tools, developing software,” Huang said.
“The amount of compute in our company that we need has just got skyrocketed. The amount of compute every company needs is skyrocketing.”
Huang suggested that companies adopting agentic AI early may gain a significant advantage, while others risk falling behind as the technology scales rapidly.
