---
okf_version: "0.1"
updated: 2026-07-05
---

# ARIA-RD OKF Knowledge Bundle — the Open Knowledge Format, in OKF

**A self-demonstrating bundle.** Everything you need to *understand* and *adopt* the **Open Knowledge Format (OKF v0.1)** — Google Cloud's open spec for agent-readable knowledge — packaged *as* an OKF Knowledge Bundle. The thing it describes is the thing it is: markdown + `type` frontmatter, a reserved `index.md`/`log.md`, and an untyped cross-link graph.

Read top-to-bottom for the full arc, or let an agent drill in via progressive disclosure: `python okf-cli.py find <query>` → `read <concept>`.

## Concepts (4)

- [llm-wiki-template](./llm-wiki-template.md) — MIT template repo for Karpathy's 'LLM Wiki' pattern (raw/ + wiki/ + CLAUDE.md), self-maintaining via ingest/lint — an alternative to query-time RAG.
- [okf-knowledge-bundles-cole-medin](./okf-knowledge-bundles-cole-medin.md) — Cole Medin reads OKF as the standard making Karpathy's 'LLM wiki' shareable between agents, and gives away an OKF bundle of his AI-coding videos.
- [okf-seo-selling-knowledge-to-agents-haynes](./okf-seo-selling-knowledge-to-agents-haynes.md) — Marie Haynes reads OKF as SEO's next shift: making knowledge usable by agents, not just crawlable, and a new revenue stream selling Knowledge Bundles.
- [open-knowledge-format-okf](./open-knowledge-format-okf.md) — OKF v0.1 (Google Cloud, June 2026): an open spec formalising the 'LLM-wiki' pattern as portable markdown + YAML, one required frontmatter field: type.

## How to read this bundle

- **Human:** open any `.md` above — plain markdown, renders on GitHub or in any editor.
- **Agent / CLI:** `python okf-cli.py index` · `find <query>` · `read <concept>` · `selftest`.
- Related concepts elsewhere in the wider **ARIA-RD** vault are annotated inline as "(outside this bundle)" — they are intentionally not shipped here, so no local link dangles.

See [log.md](./log.md) for change history and [README.md](./README.md) for provenance and usage.


---

---
type: readme
title: ARIA-RD OKF Knowledge Bundle
description: A self-demonstrating OKF v0.1 bundle whose subject is the Open Knowledge Format itself.
okf_version: "0.1"
source_bundle: "okf"
---

# ARIA-RD OKF Knowledge Bundle

## What this is

A **self-contained, shareable Knowledge Bundle conforming to the Open Knowledge Format (OKF) v0.1** — and its subject *is OKF itself*. It is deliberately **self-demonstrating**: a bundle that explains the format, packaged in the format. If you can `cat` a file you can read it; if you can `git clone` a directory you can ship it.

It bundles four cross-linked concepts:

| Concept | Lens |
|---|---|
| `open-knowledge-format-okf` | the canonical spec — Google Cloud blog + SPEC.md v0.1 |
| `okf-seo-selling-knowledge-to-agents-haynes` | the SEO → AEO + monetisation lens (Marie Haynes) |
| `okf-knowledge-bundles-cole-medin` | a worked practitioner example + free shareable bundle (Cole Medin) |
| `llm-wiki-template` | the upstream Karpathy "LLM Wiki" pattern OKF specifies |

Alongside them: `index.md` (the progressive-disclosure catalog), `log.md` (change history), and `okf-cli.py` (a dependency-free consumer). These three are bundle scaffolding, not knowledge concepts.

## How to use

**Human:** open any `.md` — plain markdown, renders on GitHub or in any editor. Start with `index.md`, then `open-knowledge-format-okf.md`.

**Agent / CLI** (Python stdlib only; run from inside the bundle, or set `OKF_BUNDLE` to its path):

```
python okf-cli.py index              # print the catalog (index.md)
python okf-cli.py find <query>       # ranked keyword search across concepts
python okf-cli.py read <concept>     # print a concept, e.g. read open-knowledge-format-okf
python okf-cli.py selftest           # OKF-conformance check
```

To mount it in your own agent / second brain: clone the folder, hand `okf-cli.py` (or the OKF SPEC.md) to your agent, and point it at this directory — then just ask questions.

## Conformance

Conforms to OKF v0.1: every knowledge concept is one markdown file whose YAML frontmatter carries the single required field `type`; `index.md` and `log.md` are the reserved files; cross-links form an untyped directed graph; `okf_version: "0.1"` is declared in `index.md`. Verify with `python okf-cli.py selftest`.

> Note: the reference `okf-cli.py` reserves only `index.md` and `log.md`, so it also validates this `README.md` as a conformant concept (`type: readme`). That is why `selftest` reports one more concept than the four knowledge pages — expected, not an error.

## Provenance

Extracted **2026-07-03** from the **ARIA-RD** R&D AI-knowledge vault (`_aria/topics/ai-products/`), where these four pages form the OKF cluster. The source pages were **copied, not moved or modified** — the vault remains intact. Cross-links *between* the four members were rewritten to bundle-relative `./concept.md` links; links to other vault pages were annotated inline as "(outside this bundle)" so no local link dangles. Each page's own `# Citations` — primary sources: Google's OKF blog, SPEC.md v0.1, Karpathy's "LLM Wiki" gist, and the source videos — are preserved verbatim.