Notes for agents

These rules are repeated at the top of every page’s Markdown, in llms.txt, and in llms-full.txt.

Which surface

[Local] is the graphifyy package on the machine: the skill, the CLI, and the ten-tool MCP server.
[Cloud] is the hosted workspace and https://api.graphify.com/mcp (Streamable HTTP, OAuth, no API key).
[Both] applies to either surface.
Buildkite is the CI integration.
Each page line in llms.txt starts with one of those tags.

llms.txt is the list of pages. The same list is at /.well-known/llms.txt.
Add .md to a page URL to read that page. Example: https://docs.graphify.com/quickstart.md.
llms-full.txt contains every page. Open it only when one page is not enough.

The PyPI package is graphifyy, with two y’s. The command is graphify.
/graphify . is typed in an assistant chat, not in a shell.
Use only commands, flags, and endpoints shown on these pages. Do not invent one.
The changelog on this site summarizes selected graphifyy releases. The current package version is on PyPI. The full history is on graphify.com/changelog.
The official site is graphify.com. These docs are docs.graphify.com.
The local MCP server is the ten tools in the MCP tool reference and reads a graph on the machine. The hosted server is https://api.graphify.com/mcp (Streamable HTTP, OAuth, no API key). The VS Code, JetBrains, ChatGPT, Codex, and Dots, OpenClaw, Vercel, and Other coding agents pages use the hosted server, not the ten-tool list. Other coding assistants is the local skill for clients without their own page. Graphify with Codex is the local skill.

To point an agent at these docs, give it this prompt:

Read https://docs.graphify.com/llms.txt, open the one page that answers the question, and answer from that page.