SupaKeeper Plain comparisons of AI coding tools

How to review what each agent changed before committing for AI agent orchestrators in 2026

Learn how AI agent orchestrators can review each agent's changes before committing, and what to check in tools that list agent sessions.

By SupaKeeper ยท

SupaKeeper is published by LunarWerx, which makes some of the tools compared here.

To review what each agent changed before committing, keep each agent's changes separate, read every change against the task it was given, run your project's checks, and commit only the parts you have checked.

OptionWhat it doesWhat to check
AgentHydraShows Claude Code, Codex and OpenCode sessions on your machine in one searchable list, updated live while they run. [1]Check whether its session view shows the file edits each session made before you commit.
Version control your project already usesKeeps the history of changes to your files.Check which changes it lists for each agent and whether it keeps agents apart.
Separate code review tool, if your team has oneLets reviewers read proposed changes before they are committed.Check which agents' changes it can separate and what it needs in order to read them.

What you need before you start

Before you review anything, you need each agent's work to be visible in one place, with the task that agent was given written down next to it. Keep the original instruction for each agent, because a change is easy to judge only when you can compare it with what was asked.

Know which repository and branch each agent is writing to. If two agents write to the same branch, you need to be able to tell their changes apart before you decide what to keep.

Decide what counts as a finished change for your project. This might be passing tests, a clean build, or a short written check. Have your team's commit rules ready, including who signs off and what a commit message must say.

Make sure the changes stay on disk until you have reviewed them, so that nothing is lost while you read.

Step by step

  1. Pause each agent before it commits anything. Let it finish its current step, then stop it from writing further, so the set of changes stays fixed while you read.
  1. List the files each agent changed. Group them by agent and by task, so you can read one agent's work from start to finish.
  1. Read each change against the original instruction. Ask whether the change does what was asked and nothing more.
  1. Look for changes outside the task's scope, such as edits to configuration files, dependency lists, or unrelated code.
  1. Run the checks your project uses, such as tests and a build, on each agent's changes separately. Then run them on the combined changes if the agents touched shared files.
  1. Resolve overlaps. Where two agents changed the same lines, decide which version to keep and write down why.
  1. Commit each agent's approved changes as its own commit, with a message that names the task. Send unapproved changes back to the agent with notes on what to fix.
  1. Record what you reviewed and what you rejected, so the next review starts from a clear record.

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, so you can see which agents are active and find the session behind a given change. [1] Before you rely on it for reviewing file changes, check whether its session view shows the edits each session made before you commit.

AgentHydra is free, with no account or subscription. [1] It is open source under the MIT License. [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. [1] The app needs Windows, and macOS and Linux builds exist but have not been verified. [1]

Other options include the version control your project already uses and a separate code review tool, if your team has one. For each, check which agents' changes it can keep apart, which changes it lists before a commit, and what it needs to run on your machine.

Common mistakes to avoid

Avoid committing all agents' changes in one batch. A single commit that mixes several tasks makes it hard to undo one agent's work without losing another's.

Avoid reading a change without the original instruction next to it. Without the task, a change can look correct while missing what was asked.

Avoid skipping the checks because the changes look small. Small edits to shared files can break work from another agent.

Avoid letting agents keep writing while you review. A moving set of changes makes it hard to know what you approved.

Avoid choosing a tool without checking whether it can separate each agent's changes. A list of sessions helps you find work, but you still need to confirm what each session changed.

Frequently asked questions

How do you review what an AI agent changed before committing?

Pause the agent so its changes stop moving, list the files it changed, and read each change against the task it was given. Check for edits outside that task, run your project's tests and build, and then commit only the changes you have approved. Keep each agent's work in its own commit so that one bad change can be undone without affecting the others. Write down what you accepted and what you sent back, so the next review is easier.

Is AgentHydra free?

AgentHydra is free, with no account or subscription. [1] It is open source under the MIT License, so you can read its license terms before you use it. [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. [1]

Does AgentHydra show which agent made a change?

AgentHydra shows Claude Code, Codex and OpenCode sessions on your machine in one searchable list, updated live while they run. [1] You can use that list to find the session behind a change. Check whether its session view also shows the file edits each session made, since that is what you need before committing.

Which operating systems does AgentHydra run on?

The app needs Windows. macOS and Linux builds exist, but they have not been verified. [1] If you use macOS or Linux, check the current build status before you plan a review workflow around AgentHydra.

What should you check before committing changes from several AI agents?

Check that each agent's changes can be seen separately, that you have the original task for each one, and that your project's tests and build pass on the changes. Confirm that no agent is still writing while you review, and that unapproved changes stay out of the commit. Finally, check that your tool or workflow can tell you which session produced each change.

Free, with no account or subscription. [1]

Try AgentHydra

Sources

  1. AgentHydra's own description of itself (the product of this site's publisher)

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