Hello, World: Deploy AI Agents to Production in One Click

Hello, and welcome to the HollowHost blog!

If you've ever built an AI agent that works beautifully on your laptop but stalls the moment you try to ship it to production, this one's for you. HollowHost is the platform that takes you from a GitHub repository to a running, isolated, serverless AI agent — in one click, with zero infrastructure to manage.

The problem: getting AI agents to production is hard

Writing an autonomous agent or an LLM-powered workflow is the easy part. Deploying and hosting AI agents reliably is where most projects stall: containers, IAM roles, secrets, schedulers, logging, least-privilege permissions… it's a lot of undifferentiated infrastructure work before your agent ever runs for a real user.

HollowHost exists to delete that work.

What is HollowHost?

HollowHost is a serverless AI agent hosting platform. You point it at a GitHub repository and it builds, deploys, and runs your code as an AI Job — a containerized, on-demand workload running on AWS, with its own isolated execution environment.

It's built for autonomous AI agents: LLM-powered workflows, automation bots, data pipelines, and scheduled tasks that need to run on demand or on a cron schedule — without you ever touching a Dockerfile, an IAM policy, or a deployment pipeline.

How it works: from GitHub to a live AI agent

Deploying an AI agent on HollowHost is four steps:

1. Connect a repository. Give HollowHost a GitHub repo URL (public or private) — optionally a branch or a sub-directory for monorepos.
2. Validate. HollowHost checks the repository is reachable and well-formed.
3. Publish. It builds a container image from your code and deploys it as an isolated AI Job, ready to run.
4. Trigger. Run your agent manually, via API, or on a cron schedule — and get full logs and run history for every execution.

flowchart LR
    A[GitHub repo] --> B[Validation]
    B --> C[Container build]
    C --> D[AI Job]
    D --> E[Runs + logs]

Why teams choose HollowHost

• One-click deployment. Push code, not infrastructure. No Dockerfiles, no Terraform, no pipelines to babysit.
• Serverless and on-demand. Your AI agents scale to zero when idle — you don't pay for idle compute.
• Built-in scheduling. Run AI jobs on a cron schedule, or trigger them via the dashboard, API, or CLI.
• Secrets and environment variables. Manage non-sensitive config and encrypted secrets per agent, through a clean UI.
• Full observability. Every run is recorded with status, duration, token usage, and logs.

Security: isolation by default

Every AI agent on HollowHost runs under its own dedicated, least-privilege execution role. There is no cross-agent access and no privilege escalation: an agent can read only its own secrets and write only its own logs. GitHub tokens never land in image layers and are never stored in plaintext.

For teams running autonomous AI agents in production, that isolation isn't a nice-to-have — it's the whole point.

Deploy your first AI agent

Ready to ship? The fastest path is our Getting Started guide — you can deploy a working demo agent in a few minutes, no code required.

This blog is where we'll share product updates, engineering deep dives, and lessons from running AI agents at scale. Welcome aboard.