Multiplayer AI, where many people in an organization can use AI together to accomplish goals, remains one of the biggest (non-technical) problems in using AI right now. Approaches tend to be pretty primitive and based around AI-as-a-person-in-your-group-chat. That is limiting.

I built a multiplayer Catan-inspired game entirely with Astra. It's free to play: It's mobile-friendly and has narration, guides, customizations, multiple expansions and a game lobby where anyone can join, chat, and use voice chat. It took 4 days to build and hundreds of dollars in tokens. Becoming a game dev in 2026 wasn't on my bingo card, but here we are. AI has advanced so much that you can finally make the game you've always dreamed of, even without a team.

great use case for multiplayer agents is to "pre-compute" work, eg pull request reviews for example, at @openclaw we built a dashboard + automation to: - monitor community discord for PR review requests - assign to a maintainer - kick off a team session automatically

Deepagents is becoming a multiplayer harness Auth, memory, etc If you’re building an agent that you want to expose to multiple users in same thread and are thinking about these issues - reach out! Would love to chat