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Kiori vs Obsidian
Cloud AI Workspace vs Local-First PKM
The short version
Obsidian is a local-first, file-based note-taking tool with a deep plugin ecosystem. Your data stays on your machine in plain markdown files. It's private, customizable, and free. I use it myself for quick notes.
Kiori is the cloud-native AI knowledge workspace I'm building. You upload documents, query them with cited AI answers, organize insights on visual canvases, and build pages that feed back into your knowledge base. It's designed around compounding what you know over time.
Two different philosophies. Both good at what they do.
Feature Comparison
| Feature | Kiori | Obsidian |
|---|---|---|
| AI retrieval | Built-in — natural language Q&A with confidence scores and source citations | Plugin-dependent (Copilot, Smart Connections) — no native AI, varying reliability |
| Data storage | Cloud (EU servers by default) | Local files on your machine |
| Editor | Block editor — 30+ block types, slash commands | Markdown editor — powerful, keyboard-first |
| Visual mapping | Canvases with 14+ card types, drag-and-drop | Graph view + basic Canvas (limited card types) |
| Organization | Automatic re-indexing. Knowledge flywheel. Minimal manual filing. | Manual — folders, tags, links. Requires discipline. |
| Team collaboration | Built-in — shared workspaces, real-time | Not designed for teams. Sync is add-on ($4-8/mo). |
| Public sharing | Native public workspaces — visitors can ask AI questions | Obsidian Publish ($8-16/mo) — static pages, no AI |
| Document import | 15+ formats with OCR (PDF, DOCX, XLSX, slides, images) | Markdown files only. Everything else requires manual conversion. |
When to choose Obsidian
- •Offline access and local-first privacy are non-negotiable
- •You love tinkering with plugins and building custom workflows
- •You think in interlinked markdown files and prefer a keyboard-first editor
- •You work primarily solo and don't need real-time collaboration
- •You want your data in plain files on your own machine, never touching a server
- •You value the depth of 1,000+ community plugins over built-in features
When to choose Kiori
- You want AI-powered retrieval with confidence scores and cited sources, built in
- You need to query across documents (PDFs, slides, spreadsheets) — not just markdown notes
- You want visual knowledge mapping with rich card types, not just a graph view
- You collaborate with others and need shared workspaces
- You want to share knowledge publicly with AI search for visitors
- You'd rather your knowledge auto-organize than maintain a manual folder/tag system
- You want a system that compounds over time with automatic re-indexing
The honest tradeoff
Local-first privacy is unbeatable by design. Your files never leave your machine. No cloud service can match that.
What Kiori offers is a different deal. Cloud infrastructure and AI APIs unlock capabilities — retrieval, collaboration, public sharing — that local-only tools can't provide. So I built Kiori to be as private and secure as a cloud platform can be: EU data residency by default, GDPR-compliant from day one, Cloud KMS encryption, PII detection. Not because a compliance checklist required it, but because it's how software that handles people's knowledge should be built.
The code is closed, but the community is open. Public workspaces, transparent development, and a bet that trust is earned through behavior, not licensing models.
If the idea of your notes touching a server is a dealbreaker, Obsidian is the clear choice. If you want cloud-powered AI retrieval and collaboration with EU-hosted privacy built in from the start, that's what Kiori offers.
Neither is universally better. They serve different needs.