A new open-source project called HATS has been released, enabling the creation of multi-agent AI systems designed to debate and improve decision-making. Inspired by the Six Thinking Hats framework, HATS assigns distinct roles to each AI agent, such as fact-finding, risk assessment, or creativity, to simulate structured team dynamics. The system supports various LLM providers like OpenAI and Claude, offers voice and 3D avatar rendering, and integrates with a Kanban board for task management. AI
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IMPACT Enhances decision-making by simulating structured debate among diverse AI agents, offering multiple perspectives beyond single-model outputs.
RANK_REASON Release of an open-source project that provides a novel application of existing LLMs.