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The MCP specification repository demonstrates how Markdown can define a protocol surface while keeping normative specification material, schemas, and contribution mechanics separately navigable.
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Transformers uses Markdown to position the library, show immediate executable examples, explain model coverage, and route users into task-specific documentation.
LangChain's README frames the project around building applications with language models and then routes readers toward installation, examples, integrations, and deeper conceptual docs.
The OpenAI Cookbook treats examples as reusable knowledge objects: the README explains scope and routes developers into practical notebooks and guides rather than duplicating them.
AutoGen's repository documentation illustrates how an agent framework can introduce abstractions through minimal examples, installation paths, and links into a broader documentation system.
CrewAI's README emphasizes fast conceptual onboarding: roles, crews, flows, installation, and examples are presented as a product narrative for developers evaluating agent orchestration.