
GitHub Agent HQ is a multi-provider AI coding agent platform that runs directly inside GitHub and Visual Studio Code. It is designed for Copilot Pro+ and Copilot Enterprise subscribers who need to leverage coding agents like GitHub Copilot, Claude by Anthropic, and OpenAI Codex without leaving their development environment. The core value of Agent HQ is eliminating context switching by keeping all agent interactions, history, and review attached to the repository. Instead of copying code between tools, developers can run multiple agents simultaneously and review their output as they would any teammate's contribution. This integration transforms how teams approach AI-assisted coding by making agents a native part of the existing GitHub workflow.
Context switching is a major source of friction in software development. Developers often jump between chat windows, documentation, and IDEs to gather feedback, run experiments, or get code suggestions from AI tools. Agent HQ directly addresses this problem by allowing coding agents to operate where the code already lives: on GitHub and in VS Code. This means no more copying and pasting context, losing conversation history, or managing separate dashboards. Instead, all agent-generated proposals, comments, and draft pull requests appear within the same repository where team members collaborate. By keeping every interaction attached to the work, the platform ensures that valuable reasoning and decision-making are never lost. The outcome is faster iteration and reduced cognitive load for developers.
One of the key features of Agent HQ is the Agents tab, available in any repository where agents are enabled. From this tab, users can enter a request and select which agent to run: Copilot, Claude, or Codex. Once submitted, the agent runs asynchronously by default, allowing developers to continue working while the agent processes the task. Users can follow progress in real time or review completed sessions later, with detailed logs showing what the agent did and why. Each session produces artifacts such as comments, drafts, and proposed changes that can be reviewed just like any other contribution. This design makes agent output reviewable and auditable, fitting naturally into existing code review workflows. It also lowers the barrier for trying multiple agents on the same problem.
Agent HQ also integrates deeply with GitHub's collaboration tools. Developers can assign an issue directly to Copilot, Claude, or Codex, or even assign the same issue to all three to compare results. Agents can submit draft pull requests that are then reviewed by human teammates. Similarly, agents can be assigned to existing pull requests to request changes or perform further analysis. A powerful workflow is mentioning @Copilot, @Claude, or @Codex in pull request comments to prompt follow-up work. All agent activity is logged and reviewable, so their output fits the same evaluation criteria as developer contributions. This tight integration means that agents become active participants in the development lifecycle, not just external tools that produce code snippets.
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In addition to GitHub, Agent HQ works seamlessly in Visual Studio Code (version 1.109 or later). Developers can open the Agent sessions view and choose from three session types: Local (for fast interactive assistance with Copilot), Cloud (for autonomous tasks that run on GitHub), and Background (for asynchronous local work with Copilot only). This allows exploring ideas in the editor and then delegating longer-running work to GitHub without losing context. For enterprise teams, Agent HQ provides org-wide visibility and control. Features include agent controls for managing access and security policies, GitHub Code Quality checks for maintainability and reliability, automated first-pass review by Copilot, a Copilot metrics dashboard for tracking usage and impact, and audit logging for full traceability.
Agent HQ's approach is to make coding agents native to the GitHub workflow rather than external tools. All agent interactions start from within the repository, issues, or pull requests, so context is automatically preserved. When a developer assigns a task to an agent, the agent runs asynchronously and produces draft pull requests, comments, or proposed changes. These are reviewed exactly the same way as contributions from a teammate—using pull request reviews, comments, and status checks. The platform encourages comparing different agents on the same problem, letting developers see how Copilot, Claude, and Codex reason about tradeoffs. This methodology shifts reviews from focusing on syntax to strategy, helping teams surface issues earlier and make better architectural decisions.
Agent HQ supports a variety of concrete use cases that improve code quality and team efficiency. For architectural guardrails, developers can ask one or more agents to evaluate modularity and coupling, identifying changes that could introduce side effects. For logical pressure testing, another agent can hunt for edge cases, async pitfalls, or scale assumptions that might cause production issues. A pragmatic implementation agent can propose the smallest backward-compatible change to keep refactor blast radius low. Teams can also use agents to explore tradeoffs early by running multiple agents in parallel before code hardens. Another scenario is assigning an agent to an existing pull request to request changes or further analysis, effectively getting a second opinion without scheduling a synchronous review. The outcome is faster, more informed decision-making.
Agent HQ is built for individual developers, development teams, and enterprise organizations that rely on GitHub for their software lifecycle. It is available to Copilot Pro+ and Copilot Enterprise subscribers, with plans to expand to more subscription types. The platform currently supports GitHub (web), GitHub Mobile, and VS Code, with Copilot CLI support coming soon. Enterprise administrators benefit from centralized agent controls, audit logs, and the Copilot metrics dashboard to track usage and impact across the organization. By integrating Claude, Codex, and Copilot directly into GitHub and VS Code, Agent HQ enables teams to move from idea to implementation using different agents for different steps without switching tools or losing context, ultimately reducing friction and accelerating development.
Copilot Pro+ and Copilot Enterprise subscribers, including individual developers, development teams, and enterprise organizations that use GitHub for their software lifecycle. Ideal for teams looking to reduce context switching, improve code quality, and leverage multiple AI coding agents (Copilot, Claude, Codex) directly within GitHub and VS Code. Enterprise administrators benefit from centralized agent controls, audit logs, and metrics dashboards for overseeing agent usage across the organization. The platform is designed for any developer or team that wants to run coding agents asynchronously, compare agent outputs, and keep all AI interactions attached to the repository.