OKF: The Open Standard for LLM Wikis OKF — Open Knowledge Format is an open standard for organizing LLM Wikis: personal, team, or project knowledge bases designed to be read, maintained, and updated by AI agents. Direct Summary The idea is simple: instead of dumping loose documents into a RAG system, you create a structured wiki in Markdown, with organized pages, links between concepts, entities, summaries, and metadata. With this structure, the AI agent does more than search documents. It reads, understands, extracts important information, and integrates that knowledge into a living system that can evolve over time. The problem is that everyone builds their wiki differently. One person uses one folder structure, another uses a different one. Field names change. Metadata changes. Links between pages change. This makes it harder to share knowledge bases across agents, teams, and systems. OKF solves this by creating a simple standard for organizing these wikis. It mainly defines two things: 1. How files and folders should be organized. 2. Which metadata fields should appear at the top of each document. The most important field is type, which identifies the kind of content: concept, video, entity, note, decision, resource, project, and so on. Other fields may include title, tags, relationships with other content, links, related videos, and connections between concepts. The Big Advantage OKF allows different agents to understand knowledge bases created by other people or teams. This opens the door to: - a more organized personal second brain; - shareable knowledge bases; - team wikis; - knowledge packages from content creators; - agents that navigate concepts more accurately; - better integration with Markdown, Obsidian, Notion, GitHub, and coding agents; - reuse of knowledge across different projects. n practice, OKF tries to do for knowledge bases what standards like MCP do for tools: create a common way for systems to communicate. The agent no longer depends on a random structure. Instead, it can find information inside a predictable organization.