Apply a 9-step reasoning framework to systematically analyze complex problems, breaking them down with structured logical thinking and methodical approaches for clear solutions.
Analyze complex problems with enhanced AI reasoning, validate logical steps, ensure consistency, and track progress for accurate solutions across specialized domains.
Search the reasoning memory system to retrieve related insights, hypotheses, and evidence. Use this tool to find solved problems, understand idea connections, and build on prior reasoning sessions within a specific session ID.
Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.
An enhanced sequential thinking tool optimized for programming tasks that helps break down complex coding problems into structured, self-auditing thought steps with branching and revision capabilities.
A Model Context Protocol server that enhances Claude in Cursor AI with advanced reasoning capabilities including Monte Carlo Tree Search, Beam Search, R1 Transformer, and Hybrid Reasoning methods.