Perform complex reasoning with meta-cognitive reflection, hypothesis testing, and memory integration to systematically analyze problems and track confidence.
Enhance complex reasoning with meta-cognitive assessment, hypothesis testing, and graph-based memory. Track confidence, validate evidence, and manage session context for systematic problem-solving and decision-making.
Conduct competitive hypothesis tournaments to identify root causes by testing multiple theories in parallel. Uses evidence-based scoring and elimination rounds for efficient issue resolution.
Apply structured scientific reasoning to solve problems by guiding users through hypothesis testing, variable identification, and evidence evaluation. Ideal for systematic inquiry and decision-making.
Enables AI-powered academic research workflow from keyword search to hypothesis generation. Integrates multiple AI models to automatically search ArXiv papers, extract key information, and generate innovative research hypotheses for researchers.
Provides a tool for dynamic and reflective problem-solving by breaking complex problems into manageable steps with support for revision, branching, and hypothesis generation.
An MCP server that enhances sequential thinking with meta-cognitive capabilities including confidence tracking, hypothesis testing, and organized memory storage through graph-based libraries and structured JSON documents.