9router managed rollout

Run 9router as the control plane for every AI coding tool.

Plan route fallback, token policy, Docker persistence, and Pro annual checkout for Codex, Cursor, Antigravity, npm, and Docker teams without losing the product page.

Choose Pro annual Plan Codex routing

Problem

AI coding teams need one routing policy instead of tool-by-tool guesswork.

9router Space is for teams that run multiple AI coding tools and need a single operational plan for model choice, provider fallback, token limits, Docker persistence, and usage review. It keeps Codex, Cursor, Antigravity, local npm installs, and hosted endpoints on the same rollout map.

Solution

Use 9router as a managed AI router control plane.

The service turns routing decisions into a documented workspace: primary models, fallback models, budget controls, CLI setup, Docker deployment notes, and checkout-ready implementation support. Operators can start with installation planning, compare npm setup with Docker setup, then move to a paid plan from 9router Space pricing.

Evidence

The public site exposes crawlable pages for every key route.

Search engines and answer engines can reach dedicated pages for Codex routing, Cursor routing, Antigravity routing, AI router operations, GitHub workflow context, pricing, legal pages, sitemap.xml, and llms.txt.

Plans

Start with Pro annual when the team is already using AI coding tools.

  • Starter annual covers one operator validating a 9router workflow.
  • Pro annual is the default for Codex, Cursor, Antigravity, fallback policies, and team usage review.
  • Enterprise adds secured endpoint planning, provider governance, and heavier rollout support.

Compare pricing and checkout

FAQ

Common 9router Space questions

What does 9router Space do?

9router Space plans and manages an AI routing rollout across coding tools, model providers, fallback rules, token policy, Docker persistence, and operational reporting.

Who is it for?

It is for developers, small teams, and operations owners who already use AI coding assistants and need a repeatable control plane instead of one-off local configuration.

Which setup paths are documented?

The public pages cover npm installs, Docker deployment, Codex, Cursor, Antigravity, GitHub workflow context, and broader AI router planning.