Enables deep reasoning and cognitive enhancement through multi-agent debate, bias detection, and structured thinking, with privacy-first local execution.
Deliberation primitive for multi-agent coordination — agents submit positions, vote on a 5-point scale, and the server returns crux detection, vote clustering, bridging statements, and consensus. Inspired by Polis and Talk to the City.
A structured tool that enables multiple AI agents to simulate reflective debate, where LLMs critique and refine each other's ideas to produce higher-quality solutions.
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.