The OpenClaw Foundation introduced Multiplayer, a feature that lets a team share one AI agent, in a blog post on 5 November 2026. The author, Joe Pishgar, describes how the feature was demonstrated at GitHub Universe in San Francisco.

Pishgar wrote that AI has increased siloing. Each department uses its own agent, often with its own model. When work passes to a colleague, the colleague can describe the previous person’s work to their own agent only roughly. Key information is often lost along the way.

In the demonstration, two laptops were connected to the same OpenClaw agent. A large display showed a 3D model of the venue, Fort Mason. When a visitor typed a prompt on the first laptop asking for the Statue of Liberty to be added to the model, the text appeared on the second laptop letter by letter before it was sent.

Someone at the second laptop then asked for the statue to be made three times larger. Pishgar said nobody had to tell the agent what the request referred to, or copy or summarise the earlier conversation. Both users were working with the same agent and the same context: the information the agent sees about earlier prompts, responses and changes.

Multiplayer routes requests into a shared queue. The queue shows users when the agent is busy, so they do not send it conflicting instructions blindly. The post does not say how Multiplayer handles access permissions.

The foundation claims Multiplayer breaks down organisational silos, something it says corporate initiatives have failed to do for decades. It supports the claim only with its own observations. It counted 11 spontaneous gasps of amazement from audiences at the demonstrations. It says around 50 or more people at the foundation have worked in the same shared environment. Pishgar also qualifies the claim: Multiplayer does not fix bad management. The foundation says it is continuing to develop the feature.

OpenClaw is developed by a non-profit foundation. The software is free and open source under the MIT licence, and the blog says Multiplayer is included. Users run OpenClaw on their own machine, a virtual server or elsewhere, and choose the language model themselves, such as an OpenAI model, Qwen, Claude or a local model. The foundation gives more information about Multiplayer on a separate page.