About Mekra

Mekra takes its name from the Korean word 맥락, meaning context: the background that makes a fact understandable — why it matters, under which conditions it holds, and how it relates to other knowledge.

Mekra is a way of looking at how knowledge, context, and judgment fit together when people and AI agents use knowledge together, and a commitment to keeping that context readable where it is needed.

Name	Role
Mekra	The underlying perspective on knowledge, context, and judgment
Mekra Method	The method for practicing Mekra with today’s AI capabilities
Mekra Lab	The lab that researches, develops, and maintains Mekra and its methods

Mekra grew out of research into and practical work with Open Knowledge Format (OKF). Along the way, the project carried its knowledge and history through the names OKF Lab → OKF Method → Mekra Method.

Keep sources of truth clear, share context where it is needed, and delegate judgment.

Mekra Method’s principles grow out of two ideas.

The first idea is to keep definition and change responsibility clear while deliberately distributing the context needed for understanding. A fact has a clear place where it is defined and changed, and its effect on the meaning, conditions, and exceptions of other concepts is explained where those concepts are discussed. A single source of truth does not imply a single location for context.

The second idea is to trust capable agents to interpret context and exercise judgment. Instead of prescribing every sequence of work, provide the reasons, conditions, and relationships that support judgment, and leave the concrete way of working to the agent. That autonomy rests on evidence and context the agent can actually find and read — and distributing context brings a responsibility to maintain it together.

Ideas still under investigation are developed in Mekra Lab’s research repository. They appear here as principles only once they are adopted.