Orchestrates sequential debates between multiple AI models across four phases (constructive, challenge, closing, synthesis) with host intervention and anti-sycophancy enforcement.
Enables a host AI agent to trigger a multi-agent debate, running N-rounds where agents critique each other's answers, then synthesizes a consensus recommendation with ranked options.
Enables multi-round brainstorming debates between multiple AI models like GPT, DeepSeek, and Ollama to produce synthesized final outputs. Users can orchestrate parallel model interactions where AI agents critique and refine each other's ideas to reach a consolidated conclusion.
Enables AI assistants to facilitate structured multi-model debates that synthesize multiple perspectives into clear categories like ground truths and blind spots. It provides tools for running real-time debates, checking model health, and managing history via the Model Context Protocol.