OpenClaw Launches Multiplayer Collaborative Feature, Allowing Multiple People to Share the Same AI Agent
The OpenClaw Foundation has launched the OpenClaw Multiplayer collaborative feature, allowing multiple people to connect to the same AI agent, share the same workspace and context, and simultaneously view and modify the same task. The feature was demonstrated live at the GitHub Universe event in San Francisco, where two laptops connected to the same agent; instructions entered by one party appeared in real time on the other, and further modifications could be appended. OpenClaw says the feature is free and open source, uses the MIT license, is not tied to any model, allows users to bring their own OpenAI, Qwen, Claude, or local models, and says it already has 83,000 forks.
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The original article provides a live demonstration of multiple people sharing the same agent along with open-source licensing details, which can be used to assess changes in how teams collaborate.
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On November 6 Beijing time, according to an OpenClaw blog report, the OpenClaw Foundation launched a multi-person collaboration feature called OpenClaw Multiplayer, which allows multiple people to connect to the same AI agent, share the same workspace and context, and simultaneously view and modify the same task.
The feature was demonstrated live at the GitHub Universe event in San Francisco: two laptops connected to the same OpenClaw agent, with a large screen displaying a real-time 3D rendering of Fort Mason. Visitors were asked to type "Add the Statue of Liberty" on the first computer, and the input process appeared in real time on the second computer; then, on the second computer, they typed "Make that three times bigger," and the Statue of Liberty was immediately enlarged three times. OpenClaw said that during the demonstration, there was no need to explain which object was being referred to, nor to copy previous prompts or have the agent rebuild someone else's work.
OpenClaw positions Multiplayer as a tool to solve "AI agent silos." Its blog says that departments such as engineering, product, marketing, sales, QA, and DevOps each use different agents and different models, prompt independently and form their own contexts, and when collaborating often have to explain verbally and relay prompts and results, leading to lost context, distorted instructions, and conflicting modifications. Multiplayer coordinates requests through a shared queue, and users can see whether the agent is busy, avoiding blindly submitting conflicting instructions.
OpenClaw said Multiplayer is already used internally, with about 50-plus people participating in collaboration in the same shared environment. The blog also said the feature is free and open source, uses the MIT license, and is not tied to any model; users can bring their own OpenAI, Qwen, Claude, or local models, and can run, modify, and extend it on their own machines, VPS, or other environments. The article said OpenClaw already has 83,000 forks.
The OpenClaw blog believes the feature is expected to reduce collaboration friction within organizations caused by AI agents operating in silos, and even "eliminate organizational silos." The report also acknowledges that it will not solve problems such as poor management or excessive meetings, but it can address some sources of friction in organizational collaboration. The above judgments about its effects come from OpenClaw.