Agora is an open-source multi-agent system built for research, discussion, and execution. Instead of relying on a single assistant, Agora splits work across roles: moderator for routing, scout for information gathering, architect for solution design, critic for risk review, synthesizer for action items, and executor for approved execution. It brings multi-agent workflows, real-time discussion, and artifact generation into one UI.
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Hi everyone — I’m the maker of Agora.
I built Agora because I kept feeling that complex tasks shouldn’t always be handled by one model in one pass. For research-heavy or execution-heavy work, I wanted a workflow where different AI roles could contribute different perspectives before anything gets done.
So in Agora:
* a moderator routes the task
* a scout gathers outside information
* an architect proposes solutions
* a critic challenges risks and assumptions
* a synthesizer turns the discussion into action items
* and an executor carries out approved actions and generates artifacts
It’s still early, but the core workflow is already there: discussion, execution, and artifacts in one interface.
I’d especially love feedback on two things:
1. In what kinds of tasks do you think multi-agent discussion is genuinely better than a single strong model?
2. What would make a system like this actually useful in real daily work?
Thanks for checking it out — happy to answer questions and would love your feedback.
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