GitHub Agent HQ alternatives: other ways to run a fleet of agents

Published September 13, 2026 · by the AQ team

The best GitHub Agent HQ alternatives, as of September 2026: AQ, if you want the real agent CLIs running live on infrastructure you control, with the whole team watching and steering the same session; Cursor cloud agents, if you want delegation bundled with the editor you already use; Warp's Oz, if you want a dedicated orchestration platform for large agent fleets; OpenHands, if you want open source you can self-host end to end; and a plain VM with tmux, if you want the pattern with no platform at all. Agent HQ is GitHub's answer to the agent fleet: coding agents from multiple vendors assigned work inside GitHub, through a paid Copilot subscription. It is the least disruptive option for a GitHub-standardized organization, and every alternative below exists because of a boundary it draws: work runs asynchronously in GitHub's cloud, lands as draft pull requests, and stays inside GitHub.

What Agent HQ is, and what it gets right

GitHub announced Agent HQ at Universe on October 28, 2025, as "any agent, any way you work": coding agents from Anthropic, OpenAI, Google, Cognition, and xAI available on GitHub as part of a paid Copilot subscription. The center is what GitHub calls mission control, a single command center to assign, steer, and track the work of multiple agents across github.com, VS Code, GitHub Mobile, and the CLI. As of September 2026, two of the five announced partner agents are documented as available: Anthropic's Claude and OpenAI's Codex, in public preview since February 4, 2026, on every paid Copilot plan since February 26. You can assign an issue to Claude, Codex, Copilot, or all three at once, and each works up a draft pull request for review.

The enterprise layer is real: what GitHub calls a control plane governs which agents an organization allows, with security policies, audit logging, and access management in one place, plus agentic code review and a metrics dashboard. Custom agents are file-based: an .agent.md file (Markdown with YAML frontmatter) in a repository's .github/agents folder, or in the organization's .github repository, appears in the agent picker. Partner agents cost nothing beyond the Copilot plan; sessions consume its metered allowance (GitHub AI Credits, which replaced premium requests on June 1, 2026, billed by tokens) plus GitHub Actions minutes. Copilot Pro is $10 per month with $15 in monthly credits, Pro+ is $39 with $70, and Business and Enterprise cover organizations. All of this as of September 2026, from GitHub's own announcements, changelog, and pricing pages.

Why teams look for alternatives

Four boundaries come up repeatedly, and none of them is a bug. They are the shape of the product.

• Execution happens in GitHub's cloud. Agent sessions run on GitHub's infrastructure, not machines you control: there is no way to point Agent HQ's agents at your own VM, your VPN-internal services, or your private package registry.
• The loop is asynchronous, PR-shaped delegation. You assign work, the agent runs in the background, and the result arrives as a draft pull request with a session log. Mission control lets you follow progress and steer with follow-up instructions, but you are managing tasks, not sitting in the terminal where the agent works. And the review stays lonely: a July 2026 LeadDev analysis of 25,264 agent-generated pull requests across 2,361 popular GitHub repositories found that in 79 percent of agentic PRs the same developer both reviewed and modified the agent's contribution, and only about one in eight workflows involved multiple humans.
• The multi-vendor promise is still partial. Of the five announced vendors, Claude and Codex are the two documented as available as of September 2026, still labeled public preview; Google's, Cognition's, and xAI's agents are not yet.
• It is GitHub, all the way down. It requires a paid Copilot plan and repositories on GitHub, and agent usage is metered in AI credits on top of the subscription. Teams on GitLab or self-hosted git, and teams who want their existing Claude or OpenAI subscriptions to carry the work, sit outside the model.

Agent HQ alternatives at a glance (September 2026)

1. AQ: the fleet on your own machines, with the team in the room

AQ is the multiplayer coding harness where engineering teams run AI coding agents like Claude Code and Codex together: shared live terminals, a code editor, and app previews, in your own cloud.

AQ inverts Agent HQ's two central choices. Execution: agents run as the real CLIs (Claude Code, Codex, Cursor Agent, Kimi, Grok, and plain shells) in persistent tmux sessions on a VM you own or a dedicated always-on AQ-managed VM, inside your network, with no shared multi-tenant execution tier. Interaction: instead of a task queue that emits draft PRs, every session is live. Teammates open the same workspace and watch the same terminal as the agent works; typing into someone else's terminal is delegated by its owner approving a control request in one click. Sessions survive a closed laptop and resume from any device. Monitoring multiple coding agent sessions covers what that looks like with several running at once.

The GitHub-shaped parts still work the way you expect: one isolated git worktree per workspace, agents commit, push, and open PRs under each user's own GitHub auth, and PRs are tracked per workspace. Each engineer logs into the CLIs with their own Claude or OpenAI account, and AQ never marks up usage on your own subscriptions, so there is no second metering layer. Pricing is two plans: Free is a personal sandbox for one person (AQ creates a private machine in an isolated network, nothing to install, no time limit), and Team is $50 per user per month early access (standard $200, billed monthly), covering VMs you connect from your own cloud or a dedicated AQ-managed VM, rate locked for your first 12 months. Fit: the strongest option if what you want from a fleet is control and shared visibility rather than async delegation. If your team never wants to watch an agent work, Agent HQ's queue model may genuinely suit you better.

2. Cursor cloud agents: delegation bundled with the editor

Cursor's plans include cloud agents launched straight from the editor; as of September 2026 each session runs on a dedicated VM in Cursor's cloud, and a September 2026 update lets enterprises run tool execution on self-hosted machines while the agent loop, planning, and inference stay in Cursor's cloud. Fit: the lowest-friction alternative for a team already on Cursor, with the same asynchronous shape as Agent HQ but anchored to the editor instead of the repository host. Full comparison: AQ vs Cursor cloud agents.

3. Warp Oz: a dedicated fleet orchestration platform

Warp launched Oz in February 2026 as an orchestration platform for cloud coding agents: launch agents interactively or programmatically, run large batches in parallel, schedule recurring workflows, and trigger runs from GitHub, Slack, Linear, or webhooks. Enterprise plans add self-hosted workers that execute on your infrastructure while orchestration and inference routing stay with Warp. Fit: the closest thing to Agent HQ's fleet ambition outside GitHub, aimed at scale and automation rather than live collaboration. Comparison: AQ vs Warp Oz.

4. OpenHands: the open source route

OpenHands is the most established open source harness for autonomous coding agents. As of September 2026 it is MIT-licensed, runs hosted (with a free individual tier) or fully self-hosted up to an enterprise Kubernetes deployment, and takes your own model keys, so every piece can live inside your network. The tradeoff: you operate it. Fit: the pick when the objection to Agent HQ is vendor custody itself. Full write-up: OpenHands alternatives and where it fits.

5. A plain VM with tmux: the no-platform baseline

Everything a fleet platform sells can be approximated by hand at small scale: a Linux VM, SSH, tmux, and the agent CLIs you already pay for. One named tmux session per task keeps agents alive through laptop closes, and git worktrees keep parallel tasks from trampling each other. What you give up is everything shared: nobody sees a session without SSH access, and there is no dashboard, queue, or governance. Fit: one engineer, a handful of agents, zero platform cost. The always-on coding agents guide walks the pattern and its limits.

How to choose

Start from the boundary that sent you looking. If it is execution custody (agents must run on machines you control), the field is AQ, OpenHands, a plain VM, or the partial self-hosted modes of Cursor and Warp. If it is the interaction model (watching and steering work live, together, rather than reviewing draft PRs alone), AQ is the only option here built around that; the wider harness of harnesses category is where that model lives. If it is fleet automation at scale, compare Warp Oz against staying put. And if none of the boundaries bothers you and your organization already pays for Copilot, Agent HQ is a reasonable default: trial it against one alternative on your own backlog for a few weeks. The best cloud coding agents guide covers the wider field.