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Query multiple frontier models in parallel and return one consensus answer.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Roundtable" yet — see the docs or source repo.
Send this question to multiple models in parallel: 'Should we choose Kafka, Pulsar, or Kinesis for a high-throughput logging system? Compare them on performance, operational cost, ecosystem, and scalability, then give a final recommendation.' Enable deliberation and return one final answer.
A consolidated comparison with a clear final recommendation and supporting rationale.
Route this question to multiple models: 'Explain the execution flow of this Python async code and identify possible race conditions or exception-handling issues.' If the models disagree, deliberate and return a unified answer.
A more reliable code analysis covering execution flow, risks, and one unified conclusion.
Ask multiple models in parallel: 'Based on the following market information, which user segment should an AI note-taking product prioritize this year, and why?' Collect the model opinions first, then return a consensus conclusion.
An integrated target-segment recommendation with key evidence and a concise final conclusion.
Coordinate multiple AI agents in parallel for debate, review, and synthesis.
Run structured multi-model debates and synthesize less sycophantic conclusions.
Run multi-agent debates and produce consensus recommendations with ranked options.
Gather independent multi-model plans and debates for implementation and architecture decisions.
Enable local AI agents with debate, memory, trust scoring, and governance.
Runs structured multi-agent debates to compare viewpoints and reach stronger conclusions.