Machine-readable docs for AI agents

Anyknown publishes machine-readable versions of all documentation pages so that Local Builder agents (Claude Code, Codex, Gemini CLI) can load the full SDK surface into context without a browser.

Available endpoints

Endpoint	Contents
/llms.txt	Index of available pages with titles and descriptions — the starting point for agents
/llms-small.txt	Curated corpus: every generally-available page, with coming-soon pages excluded
/llms-full.txt	Complete corpus: full prose of every page, including coming-soon pages
/<page-slug>.md	Raw markdown for a single page, e.g. /capabilities/object-storage.md

Pages with coming-soon status are excluded from the /llms.txt index and from /llms-small.txt because they do not describe working functionality yet. They do appear in /llms-full.txt (the complete corpus), where each one opens with an explicit coming-soon notice in its body prose — treat those pages as a contract preview, not a working feature.

Usage

Fetch the index and pipe it to your agent:

curl https://docs.anyknown.com/llms.txt

Fetch a specific capability reference:

curl https://docs.anyknown.com/capabilities/object-storage.md

Fetch the full docs for broader context:

curl https://docs.anyknown.com/llms-full.txt

For platform documentation, use the curl approach above to load relevant capability pages into your agent’s context before building.