GitHub Agent HQ: Run Claude, Codex & Copilot in One Workflow

For the past two years, developers have debated which AI coding assistant is "the best." Claude for reasoning. Codex for rapid generation. Copilot for tight IDE integration. In February 2026, GitHub settled the debate by saying: use them all.

GitHub Agent HQ is a new platform layer that lets you run multiple AI coding agents — Claude by Anthropic, OpenAI Codex, and GitHub Copilot — inside the same repository, the same PR, and the same workflow. No context switching. No copy-pasting between tools. One unified surface for multi-agent development.

Here's why this matters and how to make it work for your team.

The Problem Agent HQ Solves

Before Agent HQ, using multiple AI coding tools meant juggling browser tabs, CLI sessions, and editor extensions that didn't talk to each other. You'd ask Claude to architect a solution in one window, then manually feed that context to Copilot in your editor, then switch to Codex for test generation. Each agent started from scratch.

The result: fragmented context, duplicated effort, and no unified review trail.

Agent HQ fixes this by embedding all three agents directly into GitHub's existing infrastructure — issues, pull requests, code review, and VS Code — with shared session history and centralized audit logs.

How It Works

Launching Agents

You can spin up agent sessions from three entry points:

1. Repository Agents Tab — Browse available agents and start sessions on any branch or issue
2. Issues & PRs — Mention @Copilot, @Claude, or @Codex in any comment to assign work
3. VS Code — Choose from three session modes: Local (interactive pairing), Cloud (autonomous background work), or Background (async tasks)

Each session produces reviewable artifacts — code changes, comments, draft PRs — that appear in your standard GitHub workflow like contributions from any team member.

Parallel Agent Execution

The real power is running agents in parallel on the same task. Assign an issue to both Claude and Codex, and you get two independent approaches you can compare:

• Claude tends to produce well-structured, carefully reasoned solutions with thorough error handling
• Codex often delivers faster, more direct implementations optimized for common patterns
• Copilot excels at incremental changes within your existing codebase style

This turns code review from evaluating one solution into choosing between competing approaches — a fundamentally better position for code quality.

Session Logging and Review

Every agent session includes detailed reasoning logs. You can see exactly what the agent considered, which files it read, and why it made specific choices. This transparency is critical for enterprise teams that need to audit AI-generated code.

Practical Workflow: From Issue to Merged PR

Here's a concrete workflow using Agent HQ on a typical feature request:

Step 1 — Triage with Claude: Assign your issue to Claude for initial analysis. Claude reads the codebase, identifies affected files, and posts a technical breakdown as an issue comment — including edge cases and potential risks.

Step 2 — Implement with Codex: Based on Claude's analysis, assign implementation to Codex. Codex generates a draft PR with the feature code, tests, and documentation updates.

Step 3 — Review with Copilot: Use Copilot's code review capabilities to check the PR for style consistency, potential bugs, and alignment with your repository patterns.

Step 4 — Human review: You review the final result with full context: Claude's analysis, Codex's implementation, and Copilot's automated review — all in one PR thread.

Enterprise Controls

For organizations, Agent HQ includes a centralized governance layer:

• Agent policies — Define which agents are permitted across your org, per-repository or globally
• Code quality gates — Automated checks that evaluate maintainability impact before human review
• Usage metrics — Dashboard showing agent activity, session counts, and premium request consumption
• Audit logging — Complete trail of what each agent accessed and modified

This addresses the biggest enterprise concern with AI coding tools: lack of visibility and control when developers use different AI tools independently.

Availability and Pricing

Agent HQ is currently available to Copilot Pro+ and Copilot Enterprise subscribers. Each agent session consumes one premium request from your plan quota. Claude and Codex require explicit enablement in your organization settings.

GitHub plans to expand access to additional subscription tiers and add agents from Google, Cognition, and xAI in the coming months.

What This Means for Developer Teams

Agent HQ signals a shift from "which AI tool should we standardize on?" to "how do we orchestrate multiple AI tools effectively?" The competitive advantage moves from tool selection to workflow design.

Teams that learn to leverage each agent's strengths — Claude for architecture and reasoning, Codex for rapid prototyping, Copilot for incremental work — will ship faster and with higher quality than teams locked into a single tool.

The multi-agent future of coding isn't theoretical anymore. It's a tab in your GitHub repository.

Getting Started

1. Ensure you have a Copilot Pro+ or Enterprise subscription
2. Enable Claude and Codex in your organization's Copilot settings
3. Navigate to any repository's Agents tab to start your first session
4. Try assigning the same issue to two different agents and compare their approaches

The best way to understand multi-agent workflows is to experiment. Pick a medium-complexity issue, run parallel agents, and see how their different reasoning styles complement each other.