--- title: "Local + Cloud, StepClaw lets you define your lobster" type: "News" locale: "en" url: "https://longbridge.com/en/news/279723939.md" description: "StepClaw is an AI work partner launched by JieYueXingChen, aimed at lowering the usage threshold for ordinary users. It is based on OpenClaw's deep optimization, supports Windows and Mac, and requires no server or command line; users can install it with one click and use it directly. StepClaw can automatically remember the computer's status, grow personalized, and become the user's permanent desktop AI assistant, providing comprehensive cloud and local desktop support" datetime: "2026-03-19T05:31:01.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/279723939.md) - [en](https://longbridge.com/en/news/279723939.md) - [zh-HK](https://longbridge.com/zh-HK/news/279723939.md) --- # Local + Cloud, StepClaw lets you define your lobster Is there anyone like me who spent 4 hours deploying OpenClaw, and after setting it up, couldn't use it, then spent another half hour uninstalling it? Installing Docker, configuring environment variables, and jumping back and forth between Stack Overflow and GitHub Issues with a bunch of error messages. After finally getting the floating window to appear on the screen for the first time, I ran a few tasks, but some features inexplicably didn't work, and I couldn't figure out why after checking everywhere. In the end, I decided to give up—uninstalling wasn't clean, and I had to manually clean up some residual environment. After OpenClaw gained popularity, various alternative solutions emerged rapidly. I tested more than a dozen domestic alternatives and found that cloud-based Claw basically had no local capabilities: it couldn't see your files, couldn't control your computer, and had no idea what you were doing. Just when I was about to give up on this matter, StepClaw was launched, turning the lobster into a cute desktop pet sitting on your screen, lowering the usage threshold while adding many key and practical features. One thing it truly accomplishes is: transforming technical issues into product issues. Ordinary users don't need to understand any deployment knowledge; the lobster automatically remembers your computer's status and fills in the context in the background, ready to use right out of the box. ## Zero-threshold lobster care, and can it grow personalized? StepClaw (Step Lobster) is an AI work partner launched by StepStar, with the core positioning of "defined by you"—the interface, personality, and capabilities can all be customized and can continuously evolve autonomously, becoming more aligned with your habits the more you use it. It is deeply optimized based on OpenClaw, requiring no server, no command line, and can be adopted with one click in the "Step AI Desktop Partner," providing a resident AI Agent on your desktop, supporting both Windows and Mac. The cloud-based StepClaw was first launched with the Step AI APP; the desktop version followed suit, achieving comprehensive coverage of APP cloud and desktop local, truly becoming a 24/7 online work partner. The launch of the PC version answers the above question: **How to let ordinary users use the lobster without hassle and without spending money?** The answer is: package the environment well, bundle it into a desktop application, install it with one click, and use it directly. No command line, no Docker, no API Key configuration interface. Open the installation package, go through a guided process, click "Install and Adopt," and the lobster will appear in your desktop floating window, ready to initiate a conversation at any time. !\[\](https://cdn.pingwest.com/portal/2026/03/19/portal/2026/03/19/pPeJPpQdHmyN9SGeT7MX7wR8eHW7s7SK? x-oss-process=style/article-body) I followed the path of an ordinary user completely, without using any technical means. At no point did I need to input commands, there were no pop-ups asking me to fill in keys, and I wasn't prompted to choose a model version. Under the desktop floating window, I could still run tasks, operate the computer, and remotely manage messages from Feishu and DingTalk. My biggest impression is that it resolves all the bottlenecks for beginners using OpenClaw. StepClaw supports connections to IM software such as Feishu, WeChat Work, and DingTalk, and it allows you to manage multiple AI Agents with different roles directly from the toolbox. StepClaw can also search, install, update, and publish Agent Skills in ClawHub, and it conducts a preliminary security screening to protect the computer from virus attacks. StepClaw has integrated the most active Agent application ecosystem in China, "Aquatic Market," where you can directly tell it, "Go check out what useful skills are in the Aquatic Market," and it will browse on its own to help you find suitable ones to install. You can also find what you want in the Aquatic Market, copy and paste the installation link, and StepClaw will recognize it and install it directly, without you needing to type a single command. **Currently, the "Aquatic Market" has over 5,000 creators on board, with over 5,000 selected application resources continuously being updated, covering five major asset types: Skills, plugins, triggers, channels, and experience packs, all available in one place.** But what the Aquatic Market offers you is not just functionality. You can directly install desktop pets, pixel office interfaces, progress boards, and other exclusive skins for your lobster, making it both visually appealing and functional. If you want it to be more like "your lobster," you can edit the soul file (soul.md) to set its personality: talkative or reserved, serious or playful, it's all up to you. The dressed-up lobster can even be placed in someone else's virtual space for display, like raising a truly personal digital creature. This detail and growth state determine whether ordinary users will continue to use it. If skills require self-experimentation, most people will give up after the first failure But a low threshold is just the first step. What truly makes the lobster useful is whether it can understand you—without needing you to explain the background every time, and without it always acting as if it just met you for the first time. ## Proactive memory is the solution to Claw's context **What surprised me the most, and is also the biggest differentiator of StepClaw, is that it observes what you are doing.** This feature is called global memory. Regular lobsters have a hidden usage threshold: **You have to provide the context yourself.** You need to clearly explain what you are doing, what the background is, and what you just did for it to understand your commands. It doesn't sound like a big deal, but after frequent use, you'll find that a lot of time is spent on the action of "feeding information"—pausing what you're doing, switching to the chat window, clearly describing the current state, and only then can you give commands. This friction is the real reason most people end up not using lobsters much. StepClaw's solution is: it automatically takes a screenshot of your computer screen every 15 minutes and saves it locally. The screenshots are not uploaded and do not leave your machine; they are kept there as contextual memory. Each time the lobster is activated, it first looks at the recent screenshots to understand what you are currently doing: which document you are writing, which project is open in the code editor, and what information you were just looking up. With this cross-application and cross-browser memory, it can directly help me organize today's work report: what specific tasks were done, how the timeline is distributed, and which tasks are worth reviewing. Whether an agent can be truly utilized depends on its ability to autonomously acquire context. Not requiring the user to actively "feed" memory is what truly lowers the threshold. The screenshot memory mentioned earlier addresses the context issue on the PC side. However, people's work is not limited to the computer; much information and content first land on mobile devices The Step AI app also integrates the cloud-based StepClaw. The content seen on the phone and the commands sent can be linked to the working status on the PC. The lobster follows mobile scenarios on the phone while controlling local files and workflows on the PC: the context obtained from both ends comes together to form the complete you. The context of a single terminal is fragmented, while the context of all terminals is the complete working status. Currently, among the domestic lobster trio, MaxClaw and KimiClaw primarily operate in the cloud or on the PC. StepClaw achieves "cloud lobster on the app + local lobster on the PC," and it is an agent that can "self-evolve" during each multi-terminal interaction. The division of labor between the two ends is very clear: the PC is the main force, viewing files, taking screenshots, and controlling workflows; the mobile end serves as a remote entry point, allowing you to issue commands to the lobster via Feishu, WeChat Work, or QQ even when you are away from the computer, with tasks continuing to run on your computer. When you're not there, the lobster is. While others are still addressing the question of "can it be deployed," StepClaw is already solving the issue of "wherever the person is, the lobster is there." This is not just a simple functional upgrade; it is a true closed loop of usage scenarios. ## Conclusion Looking back, the answer given by StepClaw this time is not complicated: zero-threshold adoption, self-exploration of ecological skills, global memory to eliminate repetitive instructions, triggers to make it work proactively, and remote command even when not in front of the computer. Each of these aspects individually reduces the usage threshold. However, truly integrating the lobster into daily work cannot overlook the bottom line of safety. StepClaw co-created a safety configuration template with the "aquatic market" and comes pre-installed by default, covering identity authentication, data isolation, and prompt injection protection; addressing the skill poisoning issue through dual defenses of command analysis and code analysis to intercept risks at the source; all user data is stored locally, not uploaded to the cloud or shared externally. These capabilities may not be perceived in daily use, but they are the prerequisites for the lobster to genuinely enter the workflows of ordinary people. Zero-threshold, self-evolution, and ensuring safety are three things that, if achieved, would mean the lobster can truly enter the daily work of ordinary people, rather than just being a toy for geeks. Now, domestic lobster trio members such as Step AI, Kimi, and MiniMax are successively launching their own Claw services, making it easier and more fun to raise lobsters, whether on the PC or the app. The development of technology often requires a leap in technology and a universal shift, making it possible for most people to use Claw, which may be more important than Openclaw itself ### Related Stocks - [159998.CN](https://longbridge.com/en/quote/159998.CN.md) - [512720.CN](https://longbridge.com/en/quote/512720.CN.md) ## Related News & Research - [SAS earns recognition on the 3rd annual CRN AI 100 list](https://longbridge.com/en/news/281769613.md) - [Semidynamics Secures a Strategic Investment to Advance Memory-Centric AI Inference Chips](https://longbridge.com/en/news/282013234.md) - [Napster is Evolving in the AI Era](https://longbridge.com/en/news/281749361.md) - [XMax Launches Strategic Cloud-Based AI Platform Initiative](https://longbridge.com/en/news/282099919.md) - [Finnovation Tech Solutions Private Limited announced that it has received $220 million in funding from a group of investors](https://longbridge.com/en/news/281980934.md)