Agent HQ – GitHub’s Integrated AI Agent Platform

What is Agent HQ？

Agent HQ is an innovative platform launched by GitHub that integrates AI agents directly into developers’ workflows. It provides a unified Mission Control center, allowing developers to easily assign, guide, and track multiple AI agents across GitHub’s website, VS Code, mobile apps, or command-line interfaces. Through the AGENTS.md file, developers can define custom rules and behavior patterns for agents to meet specific project needs.

Agent HQ introduces a Plan Mode feature that helps developers clarify task requirements through guided questions before execution, proactively identifying potential issues and improving both code quality and development efficiency. GitHub has partnered with leading AI companies such as Anthropic, OpenAI, and Google to integrate their coding agents directly into the GitHub Copilot subscription. The platform enhances the development experience and provides enterprises with powerful governance and monitoring tools—such as code quality analytics and AI usage dashboards—to ensure safe and efficient use of AI within teams.

Key Features of Agent HQ

• Unified Mission Control Center:
  Provides a consistent interface for assigning, guiding, and tracking multiple AI agents, whether on GitHub’s website, VS Code, mobile devices, or the command line.

• Plan Mode:
  Before executing tasks, Plan Mode guides developers through a series of questions to clarify objectives, identify potential issues early, and enhance both code quality and productivity.

• Custom AI Agents:
  Developers can define rules and behavior models for AI agents via an AGENTS.md file to tailor their actions for specific development needs.

• Enterprise Governance:
  Offers tools like code quality analysis and AI usage dashboards to help teams monitor and manage AI activity, ensuring high code standards and organizational compliance.

• Multi-Platform Integration:
  Seamlessly integrates with tools such as Slack, Linear, Atlassian Jira, and Microsoft Teams, boosting team collaboration and workflow efficiency.

Official Website

https://github.blog/news-insights/company-news/welcome-home-agents/

How to Use Agent HQ

• Assign Tasks via Mission Control:
  Use Mission Control within GitHub, VS Code, mobile, or CLI interfaces to select and assign tasks to different AI agents.

• Plan Tasks with Plan Mode:
  In VS Code, activate Plan Mode to answer structured questions that clarify task goals, generate a detailed execution plan, and then let Copilot carry it out.

• Create an AGENTS.md File:
  Define specific rules and behaviors for agents—such as logging methods or testing workflows—to customize how they operate.

• Monitor and Manage Progress:
  Use Mission Control to track real-time task progress, ensuring all assigned agents are completing their work as planned.

• Leverage Enterprise Features:
  Utilize code quality analytics and AI usage dashboards to assess the impact of AI agents on code quality and workflow, ensuring compliance with corporate standards.

Application Scenarios

• Code Development and Optimization:
  AI agents in Agent HQ assist in writing and optimizing code. Plan Mode helps developers structure logic early, reducing errors and improving efficiency.

• Project Management and Planning:
  Mission Control coordinates complex, multi-agent workflows, ensuring timely project delivery and task alignment.

• Code Review and Quality Assurance:
  Built-in code quality analysis improves maintainability, reliability, and test coverage across projects.

• Enterprise Governance and Monitoring:
  Administrators can manage AI access permissions, enforce security policies, and audit Copilot usage to ensure AI is used safely and responsibly across the organization.