AI RESEARCH
CompanionCast: Toward Social Collaboration with Multi-Agent Systems in Shared Experiences
arXiv CS.CL
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ArXi:2512.10918v2 Announce Type: replace-cross Shared experiences are fundamental to social connection, yet media consumption is increasingly solitary. While AI companions offer real-time reactions and emotional regulation, existing systems either rely on single-agent designs or lack the social awareness and multi-party interaction required to replicate authentic group dynamics. We present CompanionCast, a general framework for orchestrating multiple specialized AI agents as social collaborators within a live shared context.