Cort
Improves AI reasoning by enabling it to recursively argue with itself through a Chain-of-Recursive-Thoughts process.
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Leveraging the Chain-of-Recursive-Thoughts (CoRT) methodology, this MCP server empowers AI to think more critically by simulating internal debates. Through iterative self-argument, the AI refines its responses, leading to more accurate, clear, and complete solutions. It enhances the original CoRT approach with features like multi-LLM inference and updated evaluation prompts.
Características Principales
- Supports multi-LLM inference by randomly selecting different LLMs for each alternative.
- Implements Chain-of-Recursive-Thoughts (CoRT) methodology for enhanced AI reasoning.
- Provides different tool options to control output verbosity and evaluation prompt style.
- 1 GitHub stars
- Offers enhanced evaluation prompts to encourage AI to explain its reasoning.
- Configurable via MCP with logging options.
Casos de Uso
- Improving the quality of AI responses by simulating internal debates.
- Exploring the diverse perspectives of different language models.
- Evaluating AI responses with enhanced prompts that encourage reasoning.
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