The GitHub Blog 10月29日 00:25
GitHub Agent HQ:统一AI开发新平台
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GitHub推出Agent HQ,旨在整合各种AI开发工具,为开发者提供一个统一的平台。Agent HQ将AI能力原生集成到GitHub工作流程中,允许开发者在一个平台上协同使用来自Anthropic、OpenAI、Google等公司的编码助手。新功能包括“任务中心”(Mission Control),一个统一的指挥中心,用于分配、指导和跟踪多代理任务;VS Code中的新功能,用于规划和定制代理行为;以及企业级功能,如新一代代理代码审查、AI访问控制平面和AI影响度量仪表板。Agent HQ致力于简化AI开发流程,提高开发效率和信心。

🎯 **统一的AI开发生态系统**:Agent HQ将GitHub打造成一个开放生态系统,汇集各类AI代理(Agents),打破现有AI工具分散的局面。开发者可以在一个平台上无缝使用来自Anthropic、OpenAI、Google、Cognition、xAI等公司的编码助手,这些代理将作为付费GitHub Copilot订阅的一部分提供,确保AI能力融入现有信任的工作流程。

🕹️ **任务中心(Mission Control)**:作为Agent HQ的核心,任务中心提供了一个统一的指挥中心,让开发者无论身在何处(GitHub、VS Code、移动端或CLI)都能指派、监控和管理AI驱动的任务。它支持并行处理复杂任务,并提供精细化的分支控制、身份识别功能以及与Slack、Linear等工具的集成,提升协作效率和可控性。

💡 **VS Code深度集成与定制**:在VS Code中,Agent HQ引入了“规划模式”(Plan Mode),帮助开发者在项目初期就制定详细的步骤化方案,从而优化Copilot的产出。此外,通过AGENTS.md文件,开发者可以创建自定义代理,设定明确的规则和约束,进一步塑造Copilot的行为,实现更精细化的控制和个性化开发体验。

🛡️ **增强的代码质量与控制**:Agent HQ关注提升开发者的信心,通过“GitHub代码质量”(GitHub Code Quality)功能,提供组织级的可见性、治理和报告,系统性地改进代码可维护性、可靠性和测试覆盖率。此外,引入了代理代码审查步骤,并提供Copilot指标仪表板和控制平面,以管理AI访问、策略和了解AI对工作的影响,确保企业级安全和合规性。

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.

In this post

GitHub is your Agent HQ: An open ecosystem for all agents  

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.

Mission control: Your command center, wherever you build

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: 

Try mission control today.

New in VS Code: Plan, customize, and connect

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. 

Increased confidence and control for your team

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 planeyour 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.

For developers, by developers 

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. 

See everything we shipped this year >

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