Agora replaces the single-assistant model with a structured panel of agents, each with a distinct job. A moderator routes the work, a scout gathers information, an architect proposes solutions, a critic flags risks, a synthesizer produces action items, and an executor runs approved steps. The agents debate in real time before anything gets executed, which surfaces blind spots that a solo model would typically miss. Results are delivered as artifacts — structured outputs like plans, reports, or code — rather than raw chat. Being open-source, teams can fork the role definitions, swap in their own models, or extend the executor with custom tools. Best suited for research-heavy workflows, technical planning, and anyone who wants a transparent, multi-perspective AI process rather than a single opaque answer.