What Is the Open Knowledge Format (OKF)?

Open Knowledge Format: The Open Knowledge Format is an open standard from Google Cloud for packaging an organization's facts, definitions, and data as plain markdown files with structured metadata, so both people and AI agents can read the same source without a proprietary system in between.

In Plain Terms

The Open Knowledge Format is an open standard Google Cloud published for describing an organization's knowledge — data tables, business facts, internal definitions — as plain markdown files with a small amount of structured metadata at the top of each one. The idea is that an AI agent, or a person, can read the same files directly without needing a proprietary tool or API to unlock them.

It was built to solve a specific problem inside large organizations: knowledge about what a dataset means, or how a term is defined internally, is usually scattered across wikis, code comments, and people's heads, and every AI tool trying to use that knowledge has to be taught it from scratch. OKF standardizes the format so that knowledge, once written down, can be read by any tool built to understand it.

Structurally, it's simple on purpose — a folder of linked markdown documents, each with a short metadata header (what type of thing this document describes, a title, a description, a link to the real resource) and a markdown body underneath. Files link to each other the normal markdown way, building up a connected map of an organization's knowledge over time.

Example

A company with a large internal database might use OKF to document what each table actually contains — "orders.md" describing the orders table's columns, in plain language, linked to "customers.md" for the related customer table. Any AI agent working with that data can read those markdown files directly and understand the data's meaning, instead of guessing from column names alone.

Why It Matters for Manufacturers

Most manufacturers don't have a data catalog in the sense OKF was built for, but the underlying principle applies directly to a public website: facts about the business — what it does, who it serves, how to reach it — are far more useful to an AI tool when written down in a structured, dedicated place than when the tool has to infer them from scattered marketing pages. The same logic behind OKF is exactly why files like llms.txt exist for websites.

How MFG Web Design Handles This

We don't publish a literal OKF bundle on mfgwebdesign.com today — OKF is aimed mainly at internal data catalogs, not public websites — but the AI Facts page and site llms.txt file apply the same underlying idea: structured, plainly written, machine-readable facts about the business that an AI tool can read directly instead of guessing from marketing copy.

Frequently Asked Questions

Is OKF the same thing as schema markup or llms.txt?

No, though they solve related problems. Schema markup labels individual pieces of content inside a web page, and llms.txt summarizes a site for AI crawlers. OKF is broader — a format for packaging an organization's knowledge as a whole, originally built for data catalogs, using linked markdown files rather than code embedded in a page.

Does a manufacturer need an OKF bundle specifically?

Not necessarily. OKF was introduced by Google Cloud primarily for data catalogs and internal knowledge systems. For a manufacturing website, the more immediately useful version of the same idea is a well-maintained llms.txt file and AI Facts page — the same principle of portable, structured, agent-readable knowledge, applied to a public site rather than an internal data warehouse.