mskayyali/nodepad
A spatial note-taking application where AI works autonomously in the background to classify, connect, and synthesize user notes.
Not currently ranked — collecting fresh signals.
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nodepad is a spatial research tool where notes are placed on a canvas and AI quietly operates in the background to classify them into 14 types, infer connections between notes, and surface emergent syntheses. Users interact through three views (tiling, kanban, graph) while AI handles note enrichment, connection detection, and synthesis generation. The tool requires an API key from a supported AI provider.
Frequently asked
- What is mskayyali/nodepad?
- A spatial note-taking application where AI works autonomously in the background to classify, connect, and synthesize user notes.
- Is nodepad open source?
- Yes — mskayyali/nodepad is open source, released under the MIT license.
- What language is nodepad written in?
- mskayyali/nodepad is primarily written in TypeScript.
- How popular is nodepad?
- mskayyali/nodepad has 1.1k stars on GitHub.
- Where can I find nodepad?
- mskayyali/nodepad is on GitHub at https://github.com/mskayyali/nodepad.