--- title: "Fully embracing Agent, Tencent is quietly initiating a round of horse racing-level \"shrimp farming\"" type: "News" locale: "en" url: "https://longbridge.com/en/news/278371953.md" description: "Tencent's version of Lobster has arrived" datetime: "2026-03-09T10:22:58.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/278371953.md) - [en](https://longbridge.com/en/news/278371953.md) - [zh-HK](https://longbridge.com/zh-HK/news/278371953.md) --- > Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/278371953.md) | [繁體中文](https://longbridge.com/zh-HK/news/278371953.md) # Fully embracing Agent, Tencent is quietly initiating a round of horse racing-level "shrimp farming" Author | Huang Yu There should be no doubt about Tencent's speed in embracing new trends. Last year, when Deepseek became a sensation, Tencent was the most proactive among major internet companies in integrating Deepseek into its products; this year, with the rise of OpenClaw, the "lobster," Tencent is also acting swiftly to compete for the super entry point of AI Agents, supporting the public in "raising lobsters" both online and offline. According to Wall Street News, Tencent's PC Manager team is currently developing a product called QClaw, an OpenClaw one-click startup package. After downloading the QClaw application, users can easily deploy "lobster" on their local computers with one click. An insider from Tencent revealed that QClaw is currently in the internal testing phase and is expected to be launched soon. According to its introduction, the core product form of QClaw is a local one-click startup package that allows users to deploy "lobster" on their local computers after installation. If users have previously installed OpenClaw on their machines, they can directly link it with one click. As per the current official website of QClaw, it supports Mac & Windows, comes with the Kimi-2.5 model, and allows switching; it supports direct linking to WeChat with zero configuration, enabling users to remotely let AI work anytime and anywhere; all data remains local and does not go through the cloud. Tencent is actively embracing "lobster" in more ways. Just last week, Tencent launched a free on-site deployment event for OpenClaw at its headquarters in Shenzhen, attracting over a thousand participants and catching the attention of Peter Steinberger, the father of lobster, on the X platform. It seems that Tencent has initiated a "lobster-raising" race internally, with QClaw being one of the products alongside similar offerings like WorkBuddy, as well as support for calling OpenClaw through WeChat and QQ. Currently, major cloud service providers, large model manufacturers, and ecological products of OpenClaw, such as Tencent Cloud Lighthouse, Kimi, Minimax, EasyClaw, Coze programming, Lobster AI, uCloud, TCADP, Codebuddy, Huawei Cloud, Baidu Intelligent Cloud, etc., are gradually launching support for accessing OpenClaw through WeChat. Users can quickly enhance their WeChat capabilities with AI through lightweight solutions provided by vendors. Earlier, Tencent had already launched its own Agent products. For example, WorkBuddy, developed by Tencent Cloud's CodeBuddy team, started internal testing in early February and officially launched on March 9, marking Tencent's formal entry into the desktop Agent tool market. However, compared to OpenClaw, which can access system-level permissions and offer more flexible operations, WorkBuddy is more focused on "achieving various autonomous operations by reading authorized folders on the computer." The product focuses on "easier to use, safer" — no complicated deployment steps are required, and it can connect to WeChat Work in as fast as 1 minute after installation. It currently supports "remote control" of lobster tasks through communication tools such as WeChat Work, QQ, Feishu, and DingTalk. During the initial launch period, WorkBuddy also introduced a no-threshold experience subsidy: offering 5,000 Credits to all domestic version users without any conditions. Users can directly use these credits to drive Claw to execute tasks. An emerging industry consensus is that the war of Chatbots has essentially ended, and the next competitive focus is shifting to "capable" AI Agents. In this context, all major internet companies and AI startups are fully targeting AI Agents. Tencent has formed a full-chain layout in the AI Agent field, including underlying technology, cloud platform, open-source framework, C-end entry, and industry applications. The core is to rely on the mixed Yuan model and cloud infrastructure to create an intelligent agent ecosystem that is "accessible to everyone, easy for enterprises, and open to the ecosystem," seizing the entry and service distribution rights in the AI era. Regarding consumer-facing Agent products, Tencent's management has previously revealed that they will categorize Agent products into two types: one is a general Agent that anyone can create — it acts on behalf of users to complete tasks in the external world; the other is an AI agent embedded in the WeChat ecosystem, operating based on WeChat's unique ecosystem. In terms of general AI Agents, Tencent is building this capability through AI-native products like Yuanbao and IMA. According to Tencent's plan, initially, they will be able to quickly answer questions; then, they will incorporate "chain reasoning" models for longer reasoning to handle more complex inquiries; subsequently, they will be able to execute more complex tasks, gradually evolving "embodied intelligence" capabilities to interact with other applications, programs, and even external APIs to assist users. The AI Agent that Tencent plans to build within the WeChat ecosystem will be a differentiated product that is difficult for other manufacturers to replicate. Tencent President Liu Chiping pointed out at last year's earnings conference that WeChat will eventually launch an AI agent to help users complete many tasks using AI within WeChat. WeChat encompasses five major ecosystems: communication, social networking, content (public accounts, video accounts), mini-programs, payment, and commerce, enabling the intelligent agent to understand users' needs, intentions, and interests, as well as to execute tasks in a closed loop. Such an intelligent agent is the "ideal assistant for users." 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