
Build and Deploy Containerized AI Agents at Scale
March 26, 2026
Every AI agent needs a place to live. A runtime environment with the right tools installed, the right permissions configured, and the right network access provisioned. Do that once and it's a container. Do it a hundred times, reproducibly, and you have a container factory.
A container factory is an automated pipeline that builds, configures, and deploys container images at scale. Instead of hand-crafting Dockerfiles and hoping they work the same way in production, a container factory takes a declarative specification — what packages to install, what services to enable, what security policies to enforce — and produces a reproducible image every time.
Think of it as CI/CD for infrastructure itself. You don't write the container image by hand. You describe what you need, and the factory builds it.
AI agents are increasingly autonomous. They write code, call APIs, manage files, and interact with external services. Each agent needs:
Containers solve all of these. But building the right container image for each agent role — with the right language runtimes, CLI tools, API keys, and security hardening — is where the factory comes in.
OpenFactory lets you define what goes inside each container through a visual builder or a JSON recipe. Specify the base image, add features (Docker, SSH, monitoring, development tools), configure services, set security policies, and the factory builds a production-ready image.
“Build me an Ubuntu 24.04 container with Python 3.12, Docker, SSH, and the Claude Code CLI pre-installed. Harden it to CIS Level 1.”
That's a recipe. OpenFactory turns it into a bootable image — either a full ISO for bare metal deployment or a container image for orchestrated environments. The same factory that builds your OS images also builds your container images.
For AI agent deployments, OpenFactory uses systemd-nspawn containers inside a host VM. Each agent gets its own container with a full filesystem, its own process tree, and network namespace — but shares the host kernel for efficiency. This gives you:
Docker is a container runtime. It runs images that someone already built. The container factory is the step before — it builds those images. Here's what OpenFactory adds beyond a Dockerfile:
Deploy an entire org of AI agents — SDRs, content writers, community managers — each in their own container with role-specific tools and credentials. The container factory builds a custom image per role, and the orchestrator deploys them as a team.
Spin up isolated development environments for every developer or every PR. Each container is a fresh, reproducible copy of your production stack — no “works on my machine” issues.
Build hardened containers for sensitive workloads — healthcare data processing, financial calculations, or government systems. The factory enforces compliance requirements at build time, not as an afterthought.
OpenFactory is your container factory. Define what goes in each container, let the factory build it, and deploy at scale.