Enables AI agents to read and edit entity-relationship diagrams and SQL database schemas on the liz-whiteboard collaborative whiteboard through natural language, supporting table, column, and relationship management.
Turns relational schemas into editable entity-relationship diagrams in draw.io, supporting live databases, SQL DDL, YAML/JSON specs, and existing .drawio files, with tools for managing tables, columns, and relations.
Enables AI assistants to turn natural-language architecture and data descriptions into 25 kinds of auto-laid-out, hand-drawn-style Excalidraw diagrams that stay editable, and to export them as SVG or PNG. Diagrams can also be revised in natural language and optionally persisted as a queryable architecture knowledge graph, all offline with no API keys.
Lets Claude Code, Cursor, VS Code and other AI agents draw and edit draw.io diagrams from your project's files, on a live browser canvas you can also edit by hand. Includes version history, undo, cloud shape libraries (AWS, Azure, GCP) and PNG or SVG export.
Enables AI assistants to turn natural-language descriptions of systems, processes, and data into auto-laid-out, hand-drawn editable diagram files across 25 diagram types — architecture, flowcharts, sequence, swimlanes, ER models, Gantt, timelines and charts — with optional natural-language revision and SVG/PNG export. It can also persist an architecture as a version-controlled knowledge graph that the AI can query and lint, running fully offline in Cursor, Claude Code and Windsurf without API keys.
