Every answer cited. Every architecture exportable. Runs on your machine — and already knows AWS, Azure and Google Cloud.
docker compose up -d
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Not a chatbot that guesses — a grounded agent that cites its sources and visualizes the build.
Every answer is built from your cloud’s official docs & whitepapers, and every step links to the exact source page. No hallucinated APIs.
Say “design a data lake” and get components, data flow, trade-offs, clarifying questions — plus an interactive 3D architecture you can orbit.
Runs on your machine with an embedded vector store. No Docker, no database to set up. Your questions stay yours.
Work in your shell with agtcld, or open the immersive web app. Answer the agent’s follow-ups to refine a design in place.
Diagrams reflect the actual architecture — fan-out, tiers, monitoring and scaling links — with real service icons, not a straight line.
One workflow across AWS, Azure and Google Cloud — all three live today, same agent, same 3D designs.
Point it at the cloud’s docs (or your own). It chunks + embeds them locally into an embedded vector store — GPU-accelerated.
Ask a how-to, or “design …”. It retrieves the right sources across services and composes a grounded, cited answer.
Designs render as a live 3D architecture — real service icons, animated data flow, labeled connections you can orbit & zoom.
Two commands and it’s running — nothing to install, nothing to configure. It arrives already knowing AWS, Azure and Google Cloud.
# 1. grab the compose file curl -LfO https://raw.githubusercontent.com/agentcloudai/agentcloud/main/docker-compose.yml # 2. start it docker compose up -d # then open http://localhost:8000 and paste your OpenAI key when it asks
The first launch takes a few minutes while it downloads itself and everything it knows about AWS, Azure and Google Cloud. After that it opens instantly — and runs entirely on your machine, so your questions and your key never leave it.
Prefer Python? pip install agtcld