Home Projects x-cmd
x-cmd
Awk

x-cmd

Shell Superpowers for AI Agents.

by x-cmd · GitHub
Stars
Forks
License
Created
Last commit
Category
Awk
Language
agentaibashApache-2.0Awk
View on GitHub
In plain words

Detect 3D objects and create maps for self-driving cars using images from multiple cameras.

✓ Claimed by its maintainer
What it doesShell library and toolbox for Human and agents
Who it is forx-cmd turns your terminal into an AI-powered command center by seamlessly blending human intent with autonomous agent ex
What it does not doIt does not replace your primary shell or system-level package managers like APT or Homebrew. It avoids heavy runtimes like Node.js or Python, keeping your syst

Written by the person who maintains this project, verified through the repository.

x-cmd — GitHub preview card
📈 Star history
4.6k4.5k
2026-07-072026-08-31
📈 Track x-cmd

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Shell Superpowers for AI Agents.

x-cmd has 4.6k stars on GitHub. It has been forked 162 times. x-cmd is written mainly in Awk. It has been in active development since 2022. x-cmd is available under the Apache-2.0 license. Its main topics are agent, ai, bash, cli.

Frequently asked questions

What is x-cmd?

Shell Superpowers for AI Agents.

Is x-cmd open source?

x-cmd is an open-source project. It is released under the Apache-2.0 license.

Is x-cmd free?

Yes. x-cmd is free and open source — you can use, modify and self-host it.

What license does x-cmd use?

x-cmd is available under the Apache-2.0 license.

What language is x-cmd written in?

x-cmd is written mainly in Awk.

🏅 Maintainer of this project?
olud.ai badge — x-cmd

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=x-cmd-x-cmd)](https://olud.ai/project/x-cmd-x-cmd.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.