Advanced Reasoning
Empowers AI with advanced cognitive capabilities for meta-reasoning, hypothesis testing, and structured knowledge management through integrated memory libraries.
About
This sophisticated MCP server transforms standard sequential thinking into a powerful cognitive reasoning system, offering advanced features like meta-cognitive assessment and systematic hypothesis testing. It incorporates a dual-storage architecture: a graph-based Cognitive Memory for connected thoughts, hypotheses, and evidence across sessions, and a document-based SystemJSON for structured storage of workflows, instructions, and domain-specific knowledge. This comprehensive approach allows AI agents to track their confidence, evaluate reasoning quality, integrate evidence, and manage context-specific knowledge, significantly enhancing the clarity, reliability, and self-awareness of AI-driven processes.
Key Features
- Meta-Cognitive Assessment: Tracks confidence and evaluates reasoning quality (low/medium/high).
- Hypothesis Testing: Formulates, tests, and validates hypotheses with systematic evidence tracking.
- Integrated Memory Libraries: Manages graph-based memory with named libraries for different contexts and projects.
- SystemJSON Structured Storage: Stores searchable workflows, instructions, and domain knowledge as categorized JSON data.
- Enhanced Visualization: Provides rich console output with confidence bars and quality indicators for reasoning processes.
- 2 GitHub stars
Use Cases
- Managing project-specific reasoning and domain expertise with separate memory libraries for clean context separation.
- Storing and retrieving reusable workflow documentation and instruction sets for automated processes.
- Building structured repositories of domain-specific knowledge accessible and searchable by AI agents.
