Why I Built Knovum: A Local-First Infinite Canvas AI Workspace with Tauri 2 and Vue 3

Notes shouldn't go to die in nested folders.

When working on complex software architectures, researching papers, or synthesizing meeting recordings, thinking is rarely linear. It's an interconnected graph—a spatial topology where an audio memo contradicts a design hypothesis, or a markdown snippet bridges two technical references.

Yet most existing productivity software forces us into rigid tree directories, or locks our private thoughts behind proprietary cloud subscriptions.

To solve this, I built Knovum: a modern, local-first desktop knowledge space that merges high-performance infinite visual canvases with embedded on-device AI.

🏗️ Architectural Foundations

1. Tauri 2 + Rust vs. Electron

When deciding the desktop foundation, Electron was ruled out immediately:

• Memory Footprint: Electron apps routinely idle at 300MB–800MB RAM. With Tauri 2 and the OS's native webview, Knovum stays exceptionally light and boots in milliseconds.
• Security & System Primitives: Tauri 2's fine-grained capability model enforces strict boundaries around filesystem and network access.
• Rust Backend: Long-running background operations—such as vector indexing and audio processing—run safely on native Rust threads without freezing the UI.

2. Infinite Canvas & Spatial Cognition (Konva + Vue 3)

Knovum provides an unconstrained 2D visual canvas running at 60fps:

• Built with Vue 3 (Script Setup) and Konva with viewport culling, allowing hundreds of cards, images, and live connections without frame drops.
• JSON Canvas Compliant: Full compatibility with the open JSON Canvas specification. No vendor lock-in.
• Dual-mode visualization: Switch fluidly between unstructured visual boards and structured Mind Maps.

3. Local-First Privacy (SQLite & LanceDB)

Knowledge is an individual's most sensitive digital asset:

• Zero Cloud Dependence: Everything is stored in local SQLite databases on your machine.
• On-Device Vector Search: Powered by LanceDB, an embedded columnar vector database for instantaneous semantic search and RAG retrieval.
• Traceable Citations: AI answers directly link and pan to the exact cards and text spans on your canvas.

4. Local Voice Transcription & MCP Integration

• Whisper + FFmpeg: Drop audio recordings or meeting logs directly onto the canvas; they are transcribed locally and automatically sliced into time-coded note cards.
• Model Context Protocol (MCP): Native support for Anthropic's Model Context Protocol, enabling seamless bi-directional integration with developer AI agent workflows.

🚀 Open Source & Getting Started

Knovum is 100% open source under permissive licensing. We support both macOS and Windows.

• ⭐️ GitHub Repository: https://github.com/madebyzan/knovum
• Tech Stack: Tauri 2, Rust, Vue 3, TypeScript, Konva, Tailwind CSS, SQLite, LanceDB.

Check out the code, star the project to support development, or open an issue if you have ideas on the future of spatial knowledge tools!