Change thinking processes between analytical, intuitive, creative, critical, or meta-cognitive modes to adapt reasoning approaches for different tasks.
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.
Enables dynamic creation and orchestration of hierarchical AI agent teams with role-based personas and domain knowledge injection. Supports multi-agent collaboration, session management, and complex task execution through structured team workflows.
A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.
Facilitates structured, progressive thinking through defined cognitive stages (Problem Definition, Research, Analysis, Synthesis, Conclusion), enabling users to break down complex problems, track thought progression, and generate summaries of their thinking process.