Agent HQ unifies diverse AI coding agents directly within GitHub, streamlining development workflows. This integration provides a central command center for agent orchestration, enhancing productivity, code quality, and control over AI-assisted processes for engineers.
The current AI landscape presents a challenge we’re all too familiar with: incredible power fragmented across different tools and interfaces. At GitHub, we’ve always worked to solve these kinds of systemic challenges—by making Git accessible, code review systematic with pull requests, and automating deployment with Actions.
With 180 million developers, GitHub is growing at its fastest rate ever—a new developer joining every second. What’s more, 80% of new developers are using Copilot in their first week. AI isn’t just a tool anymore; it’s an integral part of the development experience. Our responsibility is to ensure this new era of collaboration is powerful, secure, and seamlessly integrated into the workflow you already trust.
At GitHub Universe, we’re announcing Agent HQ, GitHub’s vision for the next evolution of our platform. Agents shouldn’t be bolted on. They should work the way you already work. That’s why we’re making agents native to the GitHub flow.
Agent HQ transforms GitHub into an open ecosystem that unites every agent on a single platform. Over the coming months, coding agents from Anthropic, OpenAI, Google, Cognition, xAI, and more will become available directly within GitHub as part of your paid GitHub Copilot subscription.
To bring this vision to life, we’re shipping a suite of new capabilities built on the primitives you trust. This starts with a mission control, a single command center to assign, steer, and track the work of multiple agents from anywhere. It extends to VS Code with new ways to plan and customize agent behavior. And it is backed by enterprise-grade functionality: a new generation of agentic code review, a dedicated control plane to govern AI access and agent behavior, and a metrics dashboard to understand the impact of AI on your work.
We are also deeply committed to investing in our platform and strengthening the primitives you rely on every day. This new world of development is powered by that foundational work, and we look forward to sharing more updates.
Let’s dive in.
The future is about giving you the power to orchestrate a fleet of specialized agents to perform complex tasks in parallel, not juggling a patchwork of disconnected tools or relying on a single agent. As the pioneer of asynchronous collaboration, we believe it’s our responsibility to make sure these next-generation async tools just work.
With Agent HQ what’s not changing is just as important as what is. You’re still working with the primitives you know—Git, pull requests, issues—and using your preferred compute, whether that’s GitHub Actions or self-hosted runners. You’re accessing agents through your existing paid Copilot subscription.
On top of that foundation, we’re opening the doors to a new world of capability. Over the coming months, coding agents from Anthropic, OpenAI, Google, Cognition, and xAI will be available on GitHub as part of your paid GitHub Copilot subscription.
Don’t want to wait? Starting this week, Copilot Pro+ users can begin working with OpenAI Codex in VS Code Insiders, the first of our partner agents to extend beyond its native surfaces and directly into the editor.
The power of Agent HQ comes from mission control, a unified command center that follows you wherever you work. It’s not a single destination; it’s a consistent interface across GitHub, VS Code, mobile, and the CLI that lets you direct, monitor, and manage every AI-driven task. With mission control, you can choose from a fleet of agents, assign them work in parallel, and track their progress from any device.
We’re also providing:
Mission control is in VS Code, too, so you’ve got a single view of all your agents running in VS Code, in the Copilot CLI, or on GitHub.
Today’s brand new release in VS Code is all about working alongside agents on projects, and it’s not surprising that great results start with a great plan. Getting the context right before a project is critical, but that same context needs to carry through into the work. Copilot already adapts to the way your team works by learning from your files and your project’s culture, but sometimes you need more pointed context.
So today, we’re introducing Plan Mode, which works with Copilot, and asks you clarifying questions along the way, to help you to build a step-by-step approach for your task. Providing the context upfront improves what Copilot can do and helps you find gaps, missing decisions, or project deficiencies early in the process—before any code is written. Once you approve, your plan goes to Copilot to start implementing, whether that’s locally in VS Code or using an agent in the cloud.
For even finer control, you can now create custom agents in VS Code with AGENTS.md files, source-controlled documents that let you set clear rules and guardrails such as “prefer this logger” or “use table-driven tests for all handlers.” This shapes Copilot’s behavior without you re-prompting it every time.
Now you can rely on the new GitHub MCP Registry, available directly in VS Code. VS Code is the only editor that supports the full MCP specification. Discover, install, and enable MCP servers like Stripe, Figma, Sentry, and others, with a single click. When your task calls for a specialist, create custom agents in GitHub Copilot with their own system prompt and tools to help you define the ways you want Copilot to work.
Agent HQ doesn’t just give you more power—it gives you confidence. Ensuring code quality, understanding AI’s influence on your workflow, and maintaining control over how AI interacts with your codebase and organization are essential for your team’s success, and we’re tackling these challenges head-on.
When it comes to code quality, the core problem is that “LGTM” doesn’t always mean “the code is healthy.” A review can pass, but can still degrade the codebase and quickly become long-term technical debt. With GitHub Code Quality, in public preview today, you’ve got org-wide visibility, governance, and reporting to systematically improve code maintainability, reliability, and test coverage across every repository. Enabling it extends Copilot’s security checks to look at the maintainability and reliability impact of the code that’s been changed.
And we’ve added a code review step into the Copilot coding agent’s workflow, too, so Copilot gets an initial first-line review and addresses problems (before you even see the code).
As an organization, you need to know how Copilot is being used. So today, we’re announcing the public preview of the Copilot metrics dashboard, showing Copilot’s impact and critical usage metrics across your entire organization.
For enterprise administrators who are managing AI access, including AI agents and MCP, we’re focused on providing consistent AI controls for teams with the control plane—your agent governance layer. Set security policies, audit logging, and manage access all in one place. Enterprise admins can also control which agents are allowed, define access to models, and obtain metrics about the Copilot usage in your organization.
We built Agent HQ because we’re developers, too. We know what it’s like when it feels like your tools are fighting you instead of helping you. When “AI-powered” ends up meaning more context-switching, more babysitting, more subscriptions, and more time explaining what you need to get the value you were promised.
That ends today.
Agent HQ isn’t about the hype of AI. It’s about the reality of shipping code. It’s about bringing order and governance to this new era without compromising choice. It’s about giving you the power to build faster, with more confidence, and on your terms.
Welcome home. Let’s build.
The post Introducing Agent HQ: Any agent, any way you work appeared first on The GitHub Blog.
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