OpenClaw Launches Multiplayer Collaborative Feature, Letting Multiple People Share the Same AI Agent
The OpenClaw Foundation has launched the OpenClaw Multiplayer collaborative feature, which allows multiple people to connect to the same AI agent, share a 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, and instructions typed on one appeared in real time on the other. OpenClaw says 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. Currently, about 50 or more people are collaborating in an internal shared environment.
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OpenClaw Launches Multiplayer Collaboration Feature, Multiple People Share the Same AI Agent Phoenix Tech Download the App for Exclusive Early Access November 06, 2026 08:56:24 From Beijing Updated November 06, 2026 09:40:38
Phoenix Tech News, Beijing Time, November 6 — According to an OpenClaw blog report, the OpenClaw Foundation has launched a multiplayer 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 the "AI agent silo" problem. Its blog says that engineering, product, marketing, sales, QA, DevOps, and other departments each use different agents and different models, prompting independently and forming their own contexts; when collaborating, they often have to explain verbally, relay prompts and results, leading to context loss, instruction distortion, and modification conflicts. 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 in internal use, with about 50-plus people participating in collaboration in the same shared environment. The blog also says the feature is free, open source, uses the MIT license, and is not tied to a 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 says 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 their own 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 part of the sources of friction in organizational collaboration. The above judgments about the effects come from OpenClaw.