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Canto

Your private AI notebook — local models, code execution, and semantic linking

Paid Personal Knowledge Management

Overview

Canto is a privacy-first AI-powered notebook for macOS that runs entirely on-device. It combines writing, coding, and knowledge management with six local LLM models (Mistral 7B, Llama 3.1, Qwen 3, Gemma 2) accelerated via WebGPU — no cloud, no subscriptions, no data uploads. Features include Memory Links for automatic semantic connections across notes, Jupyter-style code notebooks supporting Python (via Pyodide), JavaScript, and TypeScript, and AI assistance through Cmd+K prompts, agent chat, selection AI, and real-time autocomplete. All notes are stored in an encrypted local SQLite database.

Pricing: $24.99

Minimum macOS: 14.0 (Sonoma)

Architecture: Apple Silicon

Key Features

  • 6 local AI models (Mistral 7B, Llama 3.1 8B, Qwen 3, Gemma 2 9B) with WebGPU acceleration
  • Memory Links — automatic semantic linking that surfaces related notes as you write
  • Code notebooks with Python (Pyodide), JavaScript, and TypeScript execution inline
  • Cmd+K instant AI prompts, Agent Chat for multi-step tasks, Selection AI for quick actions
  • Real-time AI autocomplete from your notes as you type
  • Semantic search across all notes with AI embeddings
  • Encrypted SQLite database — nothing ever leaves your device
  • Auto-install Python packages (numpy, pandas, matplotlib)
  • WikiLinks and backlinks for manual note connections
  • Works 100% offline after initial model download
  • 32K–128K context window support across models
  • One-time purchase with lifetime updates

Tags

text generationchatautocompletesearchcode generationsummarizationdocument analysis