Every team we talk to has the same shape of problem. The knowledge exists. It lives in developer documentation, help articles, onboarding guides, and policy pages. What is missing is a reliable way for the people who need that knowledge, and increasingly the AI agents working alongside them, to get a trustworthy answer from it.
GraphStaff is our answer to that problem.
Three products, one graph
GraphStaff publishes your knowledge as three products that share one foundation: Developer Docs for guides, API references, and the coding agents your users already run; Customer Knowledge Hubs so customers find the answer before they open a ticket; and Company Brain for the internal knowledge your employees and internal AI tools depend on.
Each product stands on its own. You can start with one and expand when another use case becomes useful.
Grounded means grounded
Underneath all three sits the same graph-based retrieval engine. Instead of treating your content as a pile of disconnected text chunks, GraphStaff represents pages, concepts, and policies as a connected graph and follows those connections to assemble complete, traceable context before a language model writes a single word. Answers cite the pages they came from, so readers can verify instead of trusting blindly.
Permissions travel with the knowledge. If a collection is customer-only, partner-only, or internal, those rules apply to navigation, search, and AI answers alike.
Built for the second audience
Your knowledge now has a second audience: AI agents. Every GraphStaff site ships with an automatic MCP server, llms.txt, and machine-readable Markdown for every page, so Claude, ChatGPT, and coding agents can answer from your maintained content instead of guessing.
If that sounds like the knowledge platform your team has been assembling by hand, see pricing or request a demo. We would love to show you the magic.