Open Knowledge Format
Open Knowledge Format, or OKF, is Google Cloud's proposed open specification for representing AI-usable knowledge as markdown files with YAML frontmatter and shared conventions.
Key points
- Google Cloud describes OKF v0.1 as a vendor-neutral, agent- and human-friendly standard for metadata, context, and curated knowledge [src-100].
- The format formalizes the Karpathy LLM Wiki Pattern: directories of markdown files, YAML frontmatter, readable content, and conventions that agents can consume without translation [src-100].
- OKF is strategically important because it treats enterprise context as portable infrastructure rather than a proprietary memory silo [src-100].
- It also validates Robin's knowledge graph design choices: markdown, frontmatter, source IDs, explicit relationships, and human-readable pages can serve both people and agents [src-100].
Related entities
Related concepts
- Karpathy LLM Wiki Pattern
- Context Engineering
- Enterprise Knowledge Graph
- Agentic Data Cloud
- Machine-Scannable Content
Source references
- [src-100] Sam McVeety and Amir Hormati – "How the Open Knowledge Format can improve data sharing" (2026-06-12)
Recommended next
Keep reading from this thread
From 491 indexed pages and articles.
- Wiki concept Google Cloud Blog Google Cloud's official publication for product announcements, customer stories, and technical updates. Related by format
- Wiki concept Google Cloud Google's cloud computing business and enterprise AI platform. In [src-044], Thomas Kurian positions Google Cloud around the "Agentic Enterprise": a vertically integrated AI stack Related by format
- Insight Agentic Web Readiness A practical checklist for making websites understandable, navigable, and useful for AI agents and answer engines Readers have engaged with this next