Generate visual representations of memory data using dashboards, timelines, networks, heatmaps, distributions, trends, or custom visualizations to analyze and understand memory usage patterns.
Create, manipulate, and interpret diagrams, graphs, and visual representations to facilitate insight generation, hypothesis testing, and problem-solving. Supports various visual elements and operations for structured reasoning and decision-making.
Detect and extract visual features from images to generate mode maps for AI image processing, supporting modalities like canny, depth, pose, and segmentation.
A neuromorphic visual processing system that combines visual memory storage with creative generation capabilities, using a 7-database architecture to simulate brain regions for comprehensive sensory-cognitive AI processing.
A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.