Andrej Karpathy, Google, and Garry Tan are all adopting Markdown as the primary format for agent memory and organizational context. While Karpathy focuses on personal knowledge, Google targets enterprise runbooks, and Tan defines agent roles, they all share a reliance on versioned Markdown files. This shift suggests that the strategic advantage is moving from the specific large language model used to the curated knowledge base a team accumulates.
- Karpathy's LLM Wiki for personal knowledge bases
- Google's Open Knowledge Format for enterprise context
- Garry Tan's gstack for defining agent roles
- The migration of the competitive moat from models to portable data files
Google Cloud introduces the Open Knowledge Format (OKF), a vendor-neutral specification designed to formalize documentation patterns into a portable, interoperable standard for Large Language Models and agents. By using markdown files with YAML frontmatter, OKF provides a way to represent metadata, context, and curated knowledge that is readable by both humans and machine-parseable systems without requiring specialized SDKs or proprietary platforms.
Key points:
* Addresses the fragmentation of internal knowledge across disparate systems like wikis, databases, and code comments.
* Enables "knowledge as a living wiki" where information can be managed alongside code in version control.
* Employs a minimally opinionated design that separates content producers from consumers.
* Provides reference implementations including an enrichment agent and a static HTML visualizer.