Key features

Every answer Cairni gives — whether from the wiki or the chat assistant — traces back to the exact source page it came from. You always know *why* the wiki believes what it says, and you can click through to verify.

Cairni includes a daily chat assistant that answers questions grounded in your wikis. Alongside it is a private Memory wiki — a page about you that Cairni builds as it learns your context. Unlike a black box, you can read and edit your Memory wiki directly.

You start as a team of one. When you're ready, invite colleagues into a shared workspace. Notebooks have per-notebook access control, so you decide who can read or edit what. Teams also get approvals and comments to keep knowledge changes deliberate and trackable.

Any wiki can be published publicly with a single click. Once public, anyone can read it, and search engines and AI answer engines can pick it up — useful for open research, documentation, or community knowledge bases.

Your knowledge stays yours. You can export your wikis at any time, so you're never locked in.

Cairni exposes an MCP (Model Context Protocol) interface, letting you connect AI agents and external tools to read and query your wikis programmatically.

Want to explore further? See how Cairni compiles your sources, what you can add, what people use Cairni for, or pricing plans.