OpenClaw: почему GitHub сошел с ума и при чем тут Anthropic

Imagine a January 2026 morning. You scroll through your feed and see a strange anomaly: Mac Minis suddenly became a scarce commodity, and VPS server rental prices are creeping up. The reason isn't a new wave of crypto mining or a mass migration to remote video editing. It's all about OpenClaw. This project gained nearly 100,000 stars on GitHub in just two weeks. For context: it took the legendary React eleven years to reach 234,000 stars. Here we see explosive popularity that sweeps away all the usual metrics of the tech industry.

The story began with an audacious name—Clawdbot—which instantly attracted the attention of Anthropic's lawyers. The company was very unhappy that an outside project was exploiting the brand of their flagship Claude model. After a brief exchange, the project became MoltBot, and then, under even greater pressure, OpenClaw. But this name-juggling only added fuel to the fire. When corporations start reacting so nervously to an open-source project, it's the best signal to the market: something truly valuable is hidden inside. And the market responded—Cloudflare launched a specialized service for hosting such agents, which instantly reflected in their market capitalization.

Why are people willing to dedicate entire computers to OpenClaw? Because we've finally moved from "chatbots in a browser tab" to "autonomous agents with system access." OpenClaw doesn't just answer questions; it lives in the operating system. It needs memory, it needs constant presence, and it must work 24/7 to execute tasks while you sleep. This is a fundamentally different approach to AI interaction. Previously, a neural network was a tool you called upon as needed. Now it's a digital employee who needs a workplace.

The technical foundation of the project shows how dramatically user demands have changed. People are tired of the limitations of web interfaces and corporate API censorship. OpenClaw provides the degree of freedom that only major laboratories could afford before. The project effectively orchestrates LLM work, allowing them to interact with the file system, browser, and external services without human intervention. This is exactly what the creators of AutoGPT promised us years ago, but only now has the technology become stable and intelligent enough not to devolve into an endless loop of useless actions.

The fact that IBM and Cisco have already begun publishing guides for integrating OpenClaw into corporate systems speaks volumes. We're seeing the birth of a new category of software—agentic operating environments. If previously an operating system was needed for humans to manage programs, now it becomes a habitat for an AI agent. This is a fundamental shift in understanding the personal computer. Perhaps in a year we'll be buying laptops not by the number of cores for gaming, but by the number of "agent slots" they can support simultaneously.

The key point: OpenClaw proved that users need not chats, but actions. Are you ready to give AI the keys to your computer for complete automation of routine tasks?