How DevOps engineers can run agents on infrastructure scripts
Steps for DevOps engineers running agents on infrastructure scripts, with tools to compare and common mistakes to avoid.
SupaKeeper is published by LunarWerx, which makes some of the tools compared here.
Running agents on infrastructure scripts works best when the scripts are under version control, the agent has only the access it needs, and a person reviews each change before it reaches a live system. A tool can help you watch and direct several agent sessions at once, but check each option against the exact job before choosing it.
| Option | What it can do | What to check |
|---|---|---|
| AgentHydra | Lists Claude Code, Codex and OpenCode sessions on your machine in one searchable list, updated live while they run. [1] | Check whether its session list and other actions match how your agents run. |
| Plain terminal workflow | Use your own shell scripts to start, watch and log each agent run. | Check how you will see which runs are active and what each one changed. |
| Session management tool | A separate tool may provide a way to organize session details. | Check the sessions, actions and systems it supports before choosing it. |
What you need before you start
Before an agent touches any infrastructure script, keep the scripts in version control so every change can be reviewed and reversed. List the environments the scripts reach, such as test, staging and production, and confirm which ones an agent should never touch.
Store credentials in a secrets manager and give the agent read access first, adding write access only for a test environment. Set up a non-production environment where a bad run can fail without harm.
Decide who approves changes before any agent output is applied, and write down the commands the agent may run. A short written list of allowed actions makes it much easier to judge what an agent did and whether it stayed inside its limits. Confirm that you can stop a running agent quickly.
Step by step
Work through these steps with one small script first, then widen the scope once each run behaves as expected.
- Pick one script with a narrow job, such as checking a configuration file, and run the agent against it in a test environment.
- Give the agent a precise goal, the files it may read, and the commands it may run.
- Keep credentials in a secrets store and grant only read access at the start.
- Run the script in a dry-run or plan mode where one exists, and review every proposed change.
- Have the agent write its proposed changes to a separate branch or file so a person can compare them with the current state.
- Apply changes only after a person has checked the diff and the expected effect on the system.
- Keep a record of what the agent ran and what changed, so a later run can be compared against it.
- Repeat the cycle, widening scope only when earlier runs produced the output you expected.
Tools that can do it
AgentHydra is made by the team that publishes this site.
AgentHydra shows Claude Code, Codex and OpenCode sessions on your machine in one searchable list, updated live while they run. [1]
AgentHydra lets you type a reply into a Claude session's own desktop chat, or send one message to several sessions. [1]
AgentHydra splits a task's pieces across Claude Code CLI sessions on your accounts, and moves a worker to another account when one nears its limit. [1]
AgentHydra exposes its features as tools an AI agent can call, including a check of the current account and a check of usage, so the agent knows how much quota is left. [1]
AgentHydra is free, with no account or subscription. [1] It is open source under the MIT License. [1]
The tray app needs Windows. macOS and Linux builds exist but have not been verified. [1]
On Windows, you can install it with a one-line PowerShell script, download a build from GitHub Releases, or run it from source with Bun, a JavaScript tool. [1]
Other approaches include a plain terminal workflow built from your own shell scripts, or a separate session management tool. Compare each one against the job of running agents on your scripts, and check what it shows and what it can change before you choose.
Common mistakes to avoid
Avoid running an agent directly against a live system before a test run has shown what it does. A script that works in a test environment can still behave differently in production.
Avoid giving agents broad credentials for convenience. A single token that can change everything turns a small mistake into a large one.
Avoid skipping review of the planned changes because the output looks correct. Read the diff, not only the summary the agent writes about it.
Avoid repeating a failed fix without recording it. AgentHydra can pair each failed shell command with the command that fixed it, and copy those pairs out as a rules file for your agents. [1]
Avoid assuming that every tool handles approvals, rollback and scheduling in the same way. Check each option against the steps above before you rely on it.
Frequently asked questions
How can DevOps engineers run agents on infrastructure scripts safely?
Start with version control, a test environment and read-only credentials. Run each script in a dry-run or plan mode where one exists, and have a person review every proposed change before it is applied. Keep a written list of commands the agent may run, and record what each run changed. Widen the agent's access only after several test runs behaved as expected. Confirm that stopping a run is quick and simple before the first real use.
Does AgentHydra run infrastructure scripts?
AgentHydra splits a task's pieces across Claude Code CLI sessions on your accounts, and moves a worker to another account when one nears its limit. [1] Its session list shows Claude Code, Codex and OpenCode sessions on your machine as they run. [1] Check how those features map onto your scripts, including which commands the sessions are allowed to run, before using it on infrastructure.
Is AgentHydra free for DevOps engineers?
AgentHydra is free, with no account or subscription. [1] It is open source under the MIT License. [1] Review the license text itself if you plan to change or redistribute the code. Also check the terms of the Claude and Codex accounts your sessions use, since those accounts are separate from this tool.
Can AgentHydra run on Linux servers?
The tray app needs Windows. macOS and Linux builds exist but have not been verified. [1] On Windows, installation can be done with a one-line PowerShell script, a download from GitHub Releases, or running from source with Bun. [1] If your infrastructure scripts run on Linux servers, confirm the build works there in a test environment before planning any real use.
Can an AI agent check its account and quota through AgentHydra?
AgentHydra exposes its features as tools that an AI agent can call, known as MCP tools. [1] Among them are a check of the current account and a check of usage, so an agent can learn which account it is on and how much quota is left. [1] Test these checks in a non-production setting first, and confirm that the agent reads the results before it acts on them.
Free, with no account or subscription. [1]
Try AgentHydraSources
Related comparisons
- Audit What an Agent Ran in Each Session for DevOps
- How freelance coders avoid hitting limits mid-task
- How to check release dates before publishing for tech journalists
- How to collect helpful AI tutor prompts for bootcamp students
- How startup engineers compare agent outputs before merging
- How to compare odds across markets for prediction market traders
- How to compare rumored AI lab launch dates in 2026
- How to decide when to buy more capacity for engineering leads
- How to decide when to switch model providers in 2026
- How to drop the right prompt into any AI tool (2026)