GitHub has launched Agent HQ, a centralized dashboard that lets development teams run and manage AI coding agents from multiple providers — including Anthropic's Claude, OpenAI's Codex, and GitHub's own Copilot — within a single interface.
One Dashboard, Many Agents
The product, announced at GitHub's Universe developer event, addresses a growing pain point: as AI coding agents multiply and compete, engineering teams increasingly juggle separate tools, billing, and workflows for each provider. Agent HQ provides a unified control plane where teams can assign agents to issues, monitor their progress in real time, and review generated pull requests before merging.
"Developers shouldn't have to pick one agent and hope it's the best for every task," said GitHub CEO Thomas Dohmke during the keynote. "Agent HQ lets you route the right agent to the right problem."
How It Works
Agent HQ integrates directly into GitHub's existing repository interface. Teams can configure routing rules — for example, sending complex refactoring tasks to Claude while using Copilot for boilerplate generation and Codex for test writing. Each agent operates in a sandboxed environment with access only to the repositories and branches it's been assigned.
The dashboard tracks agent activity, token usage, and success rates across providers, giving engineering leads visibility into which agents perform best on different types of tasks.
Early Reactions
Beta testers reported productivity gains from being able to compare agent outputs side by side. "We had Claude and Codex both attempt a database migration. Claude's approach was cleaner, but Codex caught an edge case Claude missed," said a senior engineer at Shopify who participated in the preview program.
Pricing and Availability
Agent HQ is available immediately for GitHub Enterprise customers at no additional cost beyond existing agent subscriptions. GitHub Team plans will gain access in March, with free-tier support planned for Q2 2026.
The move positions GitHub as a neutral orchestration layer in the rapidly growing AI coding market, rather than tying developers exclusively to its own Copilot product. It also signals a broader industry shift toward multi-agent workflows, where the value lies not in any single model but in intelligent coordination between them. Open-source alternatives like Moonshot's Kimi Code are also emerging for teams that prefer terminal-native agents. For an in-depth comparison, see this Claude Code vs Copilot CLI vs Gemini CLI guide.
