GitHub just brought Codex, Claude, and Jules together in one agentic development platform. Here’s how it works and why it matters.
GitHub launches Agent HQ to unite Codex, Claude, and Jules.
Developers can now manage multiple AI agents side by side.
Mission Control gives coders one command center for all AI tools.
Today, at GitHub’s GitHub Universe event in San Francisco, GitHub and OpenAI announced the integration of OpenAI’s Codex into GitHub.
But wait, you may ask (as I did), „Isn’t Codex already integrated into GitHub?“ I mean, I used it and wrote about it months ago. It’s the fit that’s new, not the idea that Codex is available for GitHubbers.
GitHub is announcing its „next evolution“, an agentic development platform. At the same time, OpenAI is announcing that Codex will be available directly from the paid GitHub Copilot Pro+ subscription.
Alexander Embiricos, Codex product lead at OpenAI, said, „Our collaboration with GitHub has always pushed the frontier of how developers build software. The first Codex model helped power Copilot and inspired a new generation of AI-assisted coding.“
According to an email conversation with the GitHub folks, I was told, „This is a move only GitHub can realize because it’s the only place that combines the community, the code context, and the complete workflow needed to make any AI agent a truly impactful teammate.“
The core approach is what GitHub calls an „Agent HQ“, where coders and AI agents work together. Given that many (maybe even most) developers build their projects using GitHub’s source control and scaffolding, this is a fairly logical, if ambitious, extension.
GitHub serves two key purposes for the software development world: a giant repository of open-source code (and some private code as well) and what is probably the single largest collaboration community in history (and that is not hyperbole).
During my big four years of coding in four days project sprint, I talked about how coding with Codex did feel collaborative. Yes, granted, it was like collaborating with a brilliant, if stubbornly obtuse, colleague, but that’s what collaborating with many developers is like anyway.
So, if you think of AI agents as members of the programming team, then it makes sense that they be tightly integrated into the GitHub environment. But to make this work, GitHub and the various coding agent models can’t be walled gardens.
Mike Krieger, chief product officer at Anthropic, addressed this concern. He said, „We’re partnering with GitHub to bring Claude even closer to how teams build software. With Agent HQ, Claude can pick up issues, create branches, commit code, and respond to pull requests, working alongside your team like any other collaborator.
