Getting started
read as.mdGuuey hosts agents. You describe what your agent should do and Guuey runs it on isolated, always-on infrastructure — conversations stream live, and history is saved for you. There are two ways in: create in the console, or scaffold with code. Both end at the same place — a deployed, live agent.
What you’ll build
Section titled “What you’ll build”An agent on Guuey is a declarative definition: instructions (its system prompt), a model, and its capabilities — including MCP servers it can call. There is no code to write and nothing to keep running yourself.
Create your first agent
Section titled “Create your first agent”- Sign up at platform.guuey.com — sign-up is open, no invite needed. Email and password always work; Google and GitHub sign-in are offered where available. One account carries you across Guuey.
- Create. A fresh account lands on a short onboarding pointed straight at creating your first agent — one create page does the rest. (Building with code instead? The onboarding hands you the CLI path too — see below.)
- Describe it. Write what your agent should do — a short brief is enough, and the template chips give you a starting point. Have a website? Point the form at it and Draft from your site writes the brief from your own pages in seconds — and allows your site’s origin for embedding before you’ve deployed anything. You can also add materials right here — price lists, FAQs, policies: your agent answers from them (they become its resources at create), and drafting reads them too. All of it stays editable before you create.
- Choose who can chat, and where. Guests, signed-in users, or both (both is the default), and the surfaces your agent meets them on — the widget on your site, its own page, Portal.
- Create my agent. Creating deploys: your agent comes up live, with the playground a click away, a ready-to-copy
npxstart command for the code-inclined, and the trial meter in view.
Generative UI is on by default — your agent replies with interactive screens, not just text:

That card is the live Trimly demo answering “what appointment times are open tomorrow afternoon?” — an agent built exactly this way.
Your first deployed app starts a 7-day trial — it runs fully during the trial, then pauses until you pick a plan (your history, settings and domains are kept; choosing a plan resumes it). See Plans & billing for plans, pod sizes, and what happens at expiry.
Test it
Section titled “Test it”The playground talks to your actually-deployed agent — the same live endpoint your users will reach, streaming responses in real time. To change the instructions once it’s live, pull the definition into a project with npx guuey pull --app-id <id>, edit prompts/system.md, and npx guuey deploy — nothing about a running conversation is lost (see the CLI guide). The agent’s Design & distribution page gives you the share link, access controls, and the embed snippet with its allowed-origins list beside it — see the Console guide.
Prefer code?
Section titled “Prefer code?”The console is one of two ways in. Developers can scaffold a code-mode agent — bring Claude Agent SDK, OpenAI Agents SDK, or Google ADK code — run it locally, and deploy it with the CLI:
npx @guuey/create-agentic-app my-agentcd my-agentpnpm installpnpm dev # run locally with hot reload
npx guuey loginnpx guuey deploy # hosted on GuueyNo CLI install and no endpoint setup needed: the scaffold pins @guuey/cli, so in-project npx guuey … runs the matching version — and the CLI talks to Guuey’s production API out of the box. See the CLI guide for the full workflow.
Next steps
Section titled “Next steps”- Follow Your first agentic app — the code path above as a full tutorial, step by step with expected output.
- Read the Console guide for a tour of every screen.
- See Hosting & runtime for how your agent runs — isolation, streaming, plans, and the trial.
- Learn how generative UI works in the ggui docs — the open protocol behind those interactive replies.