Free Mirror or Land Grab? OpenClaw Founder Blasts Tencent for Copying

Original | Odaily Planet Daily (@OdailyChina)

Author | Golem (@web 3_golem)

As domestic tech giants rush to launch “One-Click OpenClaw Installation,” controversy has also arisen.

On March 12, OpenClaw founder Peter Steinberger publicly questioned on X about Skillhub created by Tencent, claiming that the slowdown in official data retrieval prevented rapid data collection, and stating, “They copied, but in no way support this project.”

In response to the controversy, Tencent quickly stated that they understand Peter Steinberger’s concerns. They explained that SkillHub is Tencent’s localized Skills platform built on the OpenClaw ecosystem. As a local mirror site, it always credits ClawHub as the data source. In its first week online, it handled 180GB of traffic (870,000 downloads), pulling only 1GB of non-concurrent requests from the official source. Tencent also expressed willingness to sponsor.

Logically, Tencent’s response has clarified the most likely point of public backlash—the question of whether they are recklessly consuming source sites. However, Peter was not convinced, saying this is not the main issue. He could make SkillHub an official fifth mirror, with synchronized download statistics, but Tencent should have communicated with him beforehand.

Although the matter seems to have ended here, if we only see this as “OpenClaw founder emotional outburst” or “big company doing localizations being misunderstood,” then the problem is being underestimated.

The real issue is not about mirrors, but about the “arrogance” of big companies.

If we only look at the technical actions, this isn’t particularly surprising.

In China’s developer ecosystem, mirror open-source projects are routine. International open-source infrastructure like npm, PyPI, Docker Hub all have numerous local Chinese mirrors. Because of this, Tencent denies that Skillhub is a copy, emphasizing it as a localized Skills platform. They clarify they are not exploiting or draining the official source but are distributing, accelerating, and adapting to help OpenClaw land in China.

In a sense, Tencent’s approach directly addresses the most practical needs of Chinese “shrimp farmers” (a metaphor for AI developers). OpenClaw is extremely popular in China, but not everyone can or wants to access the original community reliably, let alone the primitive experience of installing, discovering, and searching for Skills.

Skillhub

But the question is, are mirror sites inherently innocent? The answer is not necessarily.

Because open-source licenses, community ethics, and commercial realities often follow different rules.

On the license level, as long as permissions are followed and sources are credited, many mirror and redistribution actions are valid; on community ethics, Tencent’s SkillHub labels OpenClaw as an official source and even actively reduces bandwidth costs for the source site, seemingly taking responsibility.

But Tencent forgot that OpenClaw is not a small open-source project needing big company resources; it is the most starred and popular project on GitHub. Their unannounced behavior becomes “arrogant.” Because this is no longer just about mirrors but quickly involves three more sensitive issues: who represents the official ecosystem, who controls user entry points, and who defines download, distribution, and metrics.

This is what truly made Peter uncomfortable—he believes Tencent’s actions could directly impact download statistics. Peter does not oppose Tencent localizing OpenClaw in China; he just thinks there should be prior communication. Instead, Tencent built the platform, brought users over, and only explained under public pressure that they are here to help.

Moreover, from a business perspective, once platforms like SkillHub scale up, the original official and statistical authority of the OpenClaw community could be marginalized. Today it’s a localized Skills platform; tomorrow it could become the “default Skills distribution market,” and later, it might be about “who decides which Skills are visible, installed, or commercialized.”

This is the real danger behind this controversy—a familiar scene in China’s internet history: land-grabbing.

Big companies are not “raising lobsters,” but “borrowing lobsters” to claim AI territory

Recently, “raising lobsters” has become a popular meme in China’s AI circle, and OpenClaw has been quickly turned into an almost emotional industry symbol. Many say lobsters represent a new imagination for the Agent era, symbolizing the future of personal AI assistants—sounds exciting.

But big companies don’t see lobsters as idealism; they see entry points, traffic, distribution rights, and the next-generation OS shell.

On the early morning of March 11, Ma Huateng promoted Tencent’s entire “lobster” product lineup on WeChat Moments. Tencent’s “Lobster Family Pack” is tailored for ordinary users, developers, and enterprise users, offering a “little lobster” that supports one-click installation without barriers. SkillHub was launched simultaneously, with 13,000 localized Skills integrated for one-click calls, usable in scenarios like Xiaohongshu operations and Baidu search.

Of course, Tencent isn’t the only one reacting. When you look at the timeline, you’ll see that almost all major Chinese tech giants are collectively stepping in to solve the “lobster raising” problem, acting as if they pressed the same switch—only Tencent’s efforts are the most comprehensive.

On the surface, everyone seems well-meaning, but behind the scenes, they rely on a familiar business dependency: when facing a new ecosystem already validated by the market and hyped by public opinion, the first move isn’t making money or building a business model, but first grabbing entry points, first building platforms, and first bringing users in.

Tencent’s goal isn’t just to make it easier for Chinese users to “raise lobsters,” but to ensure that when Chinese users first start “using Agents to handle tasks,” their first instinct is to do so within Tencent’s product ecosystem.

This is what makes actions like SkillHub so intriguing: it appears to be a mirror site, but in reality, it could be the start of a larger closed loop. Today, users see local Skills search and download; tomorrow, it might be default integration with certain cloud services, accounts, or enterprise dashboards. Further down the line, developers will realize that although they are still developing within the OpenClaw ecosystem, the real decision-makers for exposure, recommendation, review, and commercialization are the platform.

This script has played out many times in China’s internet history. From ride-hailing to food delivery, from short video platforms to cloud marketplaces, almost every “ecosystem boom” has been accompanied by a similar structural outcome—platforms initially attract users with free and open offerings, then build walls, and leverage traffic and advertising to turn the ecosystem into an extension of their own.

Big companies know that traditional entry points like search, social, content, and e-commerce are saturated, and that Agents might be the next promising entry point. So rather than waiting for OpenClaw to grow wildly on its own, they prefer to seize it early, encapsulate it, and cultivate user habits of “controlling lobsters” within their systems.

Therefore, everyone is too familiar with what happens after big companies rush to solve OpenClaw’s installation difficulties: what comes next is predictable. And Peter, unfamiliar with China’s internet landscape, naturally can’t understand why Tencent wouldn’t communicate with him beforehand or share data simultaneously.

OpenClaw represents a different AI future: local operation, personal control, community expansion, open connectivity. Its most promising aspect is making Agents truly the user’s own execution layer. But once this ecosystem is repackaged by big companies as “localized mirrors,” “domestic adaptations,” “unified distribution,” and “security review,” the flavor changes. In their view, the entry point, distribution, and ultimately payment and commercialization should all belong to them.

Big companies are not “embracing lobsters,” but “borrowing the AI era’s territory through lobsters.” This is the most unsettling aspect behind this minor controversy.

Walls are never built overnight; they grow gradually under the guise of “more convenience” and “greater stability.” When developers, users, and traffic are all enclosed within the same shell, what is called openness and autonomy may ultimately just be another component within the big company’s ecosystem.

Currently, OpenClaw faces a paradoxical situation in China: the “lobster” hasn’t fully grown, but the big companies have already started fencing it in.