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Canto
Canto is a private, local-first AI notebook for macOS that runs models offline and stores notes in an encrypted database. It features a semantic knowledge graph, code execution, and tools for research and writing—all without cloud uploads.
Use Cases
- 🟢 Create an encrypted, searchable research wiki from PDFs and clipped web pages using Canto's PDF import and semantic knowledge graph, automatically generate concise summaries and citations with on-device models, and keep all notes private in encrypted SQLite storage on your Mac.
- 🟢 develop reproducible data-processing pipelines and experimental notebooks using Canto's code cells (Python/JavaScript/TypeScript), run and iterate models locally with Metal-accelerated inference, capture results and links in the semantic knowledge graph for easy reuse and collaboration offline.
- 🟢 Create a private on-device knowledge assistant for sensitive company data by ingesting internal PDFs and research, use selection-based AI actions and semantic search to produce briefings, action items, or code snippets, and ensure everything stays local and encrypted for compliance.