Overview / Description
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.
Used For
AI tool for chat bot workflows
Pricing
Open Source (Free)
Fully open-source and self-hosted. Free to use; you supply your own model API keys.
Pros & Cons
Pros
• Structured panel of six specialized agents (moderator, scout, architect, critic, synthesizer, executor) covers the full problem-solving cycle • Agents debate in real time before execution, surfacing blind spots a single model would miss • Delivers structured artifacts (plans, reports, code) rather than raw conversational output • Fully open-source — fork role definitions, swap models, or extend the executor with custom tools • Well-suited for research-heavy and technical planning workflows requiring multi-perspective reasoning
Cons
• Self-hosted setup requires technical knowledge to configure and run locally • No managed cloud version or GUI — onboarding friction for non-developers • Multi-agent coordination adds latency compared to a single-model query • Role definitions and agent logic must be manually customized for domain-specific use cases
Questions & Answers
Alternatives
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