research librarian

Knowledge-Ops

In development

Every answer with receipts: one grounding layer over your wiki, vectors, graphs, and files, so your AI cites company truth instead of inventing it.

Product proof

Product images are being prepared.

The workflow below is sourced from the product record.

Access

Live and in daily production use across our own agent fleet. External signup isn't open yet; follow the build log and you'll see it open.

The work

What it does

Answers company questions with cited evidence, blending your wiki, Qdrant vector collections, FalkorDB knowledge graphs, indexed files, and metrics in a single query
Runs a living internal wiki with an edit UI, full doc history, and API upsert, so SOPs and runbooks become machine-groundable the moment they're written
Serves your whole agent fleet over MCP with 10 JWT-validated tools, so any agent can ground against company truth before it opens its mouth

Watch · 3:01

See Knowledge-Ops handle the work in a short, practical walkthrough.

The workflow

01
Point Knowledge-Ops at what you already have: your wiki, vector collections, knowledge graphs, file shares, and metrics. It indexes and federates, it doesn't duplicate.
02
Ask in the web UI, or let your agents ask over REST and MCP. The Librarian, our dedicated grounding agent, fields questions the same way a great reference librarian would.
03
Get an answer with an evidence trail: which sources were searched, what was found, and exactly where each claim came from. Weak evidence gets flagged, not papered over.

Source record

Live at knowledge-ops.magicunicorn.dev behind Unicorn Commander SSO. We run our own company's knowledge on it every day.

Keep exploring

For humans and for agents

Unicorn Commander is built for people and agents. Start with the connection details and the permissions for the product you want to use.

Machine discovery

/.well-known/agent-card.json

The card describes the available identity and capabilities. It does not grant anonymous access.

A useful next step

Start with the job, the product state, and the way you want to run it.