Self-Hosted AI Coding Agents for the Enterprise

Yes — you can run AI coding agents on your own infrastructure. Helix deploys inside your security perimeter (Kubernetes or Apple Silicon) and runs dozens of fully isolated agent desktops per node, each with its own filesystem, credentials, and network. Enterprise controls include RBAC, SSO, ephemeral per-task git credentials, human review gates before any merge, and SOC 2 Type II and ISO 27001 certification. Deployments start with an 8-week pilot from $75K.

The problem hiding in plain sight

Walk the floor of any engineering-forward company today and you'll find the same thing: developers with dedicated Mac Minis on their desks, running a single AI coding agent around the clock. They bought the hardware themselves. They're paying for API keys themselves. And they're getting real work done — faster than their colleagues who aren't doing this.

This is the signal. The demand for autonomous agents running on dedicated hardware is already here. It's just happening outside your infrastructure, outside your security perimeter, and outside your visibility.

The question isn't whether your team will run autonomous coding agents. They already are. The question is whether you'll give them the right tool for it — one that scales, one that's secure, and one that actually fits how engineering teams work.

Self-hosted coding agents vs single-agent tools

Most of the tools developers are using today — and there are many variations — share a fundamental architecture: one agent, one workspace, one machine. They're designed for personal use. They work well for personal use. They were never designed for teams.

The architectural gap is real. Single-agent tools were designed to connect one AI assistant to consumer messaging apps. Helix was designed to run a fleet of autonomous agents inside an enterprise security boundary.

A secure environment for AI coding agents

A full computer for every agent

Every Helix agent gets a GPU-accelerated streaming desktop — browser, terminal, filesystem, GUI applications. Not a container. Not a terminal session. A complete 4K desktop you can watch in real time.

This matters for two reasons. First, it means agents can do work that headless tools can't: interact with web UIs, run GUI test suites, work with design tools, operate any application a human engineer would use. Second, it means you can see what's happening — which is the foundation of trust at scale.

Multi-agent density without contention

A single Helix node runs 15+ fully isolated agent desktops simultaneously. Each agent's filesystem, credentials, and network access are isolated from every other agent. You can run a whole team of agents on a Mac Studio or a single Kubernetes node — without the isolation problems that come from a shared workspace model.

The control center

See every running agent from a 30,000-foot view. Zoom into any agent's live screen. Jump in with multi-cursor pair programming when an agent gets stuck. Back out when it doesn't need you. This is what managing a team of agents actually looks like — not reading log files.

Spec coding and the kanban pipeline

Helix structures work through specs. A PM agent helps break down projects into spec documents. Those specs are reviewed before a single line of code is written. Workers pick up approved specs from the kanban backlog, implement them in isolated desktops, and submit PRs that require human sign-off before merge.

The board moves: Backlog → Design (review) → Implementation (review) → Done. At every review gate, a human approves before work continues. This is the right model for autonomous agents working on production codebases.

Security that enterprise requires

• Ephemeral per-task git credentials — tokens issued at task start, revoked at task end. No long-lived keys stored anywhere.
• Branch-scoped access — agents can only push to the branch they were assigned. No accidental access to main.
• RBAC and SSO — role-based access control and single sign-on from day one.
• Token metering per project — full visibility into LLM spend by team, project, and agent.
• SOC 2 Type II and ISO 27001 certified — independently audited.
• Slack & Teams integration — agents communicate through enterprise channels, not consumer apps.
• Air-gapped deployment support — for environments with no outbound internet access.

The 8-week pilot

Enterprise deployments start with an 8-week structured pilot on your own Kubernetes cluster.

What's included:

• Full Helix cluster deployed on your infrastructure (no data leaves your environment)
• Dedicated onboarding with the Helix team
• RBAC and SSO configuration
• Integration with your existing git workflows and CI/CD pipelines
• Slack or Teams integration
• Up to unlimited concurrent agent desktops
• Token metering dashboards
• Weekly check-ins and a final readout

Pilot cost: from $75K. At the end of 8 weeks, you'll have a production-grade agent computer cluster running in your infrastructure, and a clear picture of what full deployment looks like for your team.

The right time to move

The teams that move first on this will compound their advantage over the teams that wait. The developers who are already running agents on personal hardware know this intuitively — that's why they bought the Mac Mini themselves.

Helix gives you a way to bring that same energy inside your infrastructure: controlled, observable, compliant, and built to scale from a pilot to an org-wide deployment.

Talk to us about an enterprise pilot →

Frequently asked questions