wsg/docs/rules/fragments/01_Motivation.md

type, title

type	title
Section	Motivation

Motivation

The space of knowledge representation for AI agents is evolving quickly, and many incompatible conventions are emerging. OKF takes the position that knowledge is best represented in commonly accessible, established formats that are:

• Readable by humans without tooling.
• Parseable by agents without bespoke SDKs.
• Diffable in version control.
• Portable across tools, organizations, and time.

Increasingly, a knowledge corpus is not authored once and then read: it is continuously written and maintained by agents. When most concepts are machine‑generated, a consumer needs answers that a plain markdown‑plus‑frontmatter convention does not make first‑class:

1. What was this created from, and how was it verified? (provenance)
2. How much should I trust it? (trust)
3. Is it still true? (freshness)
4. Is it the current version? (lifecycle)
5. Was this number produced the way we said it must be? (attestation)