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