📰 Story

Introducing the Open Knowledge Format

As foundation models continue to improve, the lack of relevant context often limits what they can do, especially as they are used to build agentic systems. While these models can help you write code, summarize documents, or analyze a dataset, they still need the right information to produce accurate and actionable results. That’s why today, we’re introducing the Open Knowledge Format (OKF), an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format. This is a vendor-neutral, agent- and human-friendly standard for representing the metadata, context, and curated knowledge that modern AI systems need. As published, OKF v0.1 represents knowledge as a directory of markdown files with YAML frontmatter, with a small set of agreed-upon conventions that let wikis written by different producers be consumed by different agents without translation. That's it. No complex compression scheme, no new runtime, no required SDK. A bundle of OKF documents is: Just markdown — readable in any editor, renderable on GitHub, indexable by any search tool Just files — shippable as a tarball, hostable in any git repo, mountable on any filesystem Just YAML frontmatter — for the small set of structured fields that need to be queryable: type , title , description , resource , tags , and timestamp If you've used Obsidian, Notion, Hugo, or any of the LLM wiki patterns that have emerged over the past year, the shape will feel familiar. OKF formalizes the small set of conv