Your AI agent, live in 10 minutes. Zero DevOps required.
No servers to provision. No SSL to configure. No DNS to manage. Cortex handles the entire infrastructure stack so your team can focus on what the agent does — not how it runs.
Get StartedDeploying an AI agent shouldn't take a week.
Open-source agent frameworks are powerful. Standing one up requires provisioning servers, configuring SSL, wiring up integrations, managing secrets, writing system prompts, setting up monitoring, and maintaining everything. That's a week of DevOps work — minimum.
This keeps AI agents locked inside technical teams. Marketing can't have one. Sales can't have one. Customer support can't have one. Not because the technology isn't ready, but because the deployment story isn't.
What happens when you sign up
You do this:
Cortex does this (in the background):
All 8 provisioning steps happen automatically while you're still answering onboarding questions. By the time you finish, your agent is already running.
| Step | What's provisioned | Details |
|---|---|---|
| 1. Knowledge base | Structured docs from your onboarding answers | Markdown knowledge hub the agent can search |
| 2. Server | Dedicated cloud server | Ubuntu, 2vCPU/4GB RAM, isolated |
| 3. DNS | your-agent.agents.launchcortex.ai | Automatic routing |
| 4. SSL | TLS certificates | Automated provisioning via Caddy |
| 5. Memory | Memory tenant + Memory API + QMD hooks | Full memory stack, dedicated per agent |
| 6. Runtime | OpenClaw agent + knowledge hub loaded | Agent framework initialized |
| 7. Channel | Bot integration configured | Slack/Telegram connected |
| 8. Live | Agent started, deployment marked active | 🟢 Your agent is live |
Not a container. A dedicated server.
Every Cortex agent runs on its own isolated server. This isn't a multi-tenant container sharing resources with other customers' agents.
What each agent gets
- • Its own Ubuntu server (2vCPU, 4GB RAM)
- • Its own memory stack and Memory API
- • Its own SSL certificates and DNS subdomain
- • Its own secrets (env files, root-owned, mode 0600)
- • Its own knowledge base
- • Its own systemd services and health monitoring
Why this matters
- • Isolation — Your data never touches another customer's infrastructure
- • Reliability — No noisy-neighbor problems
- • Security — Secrets scoped to your server
- • Performance — Dedicated resources, predictable response times
Automatic updates
When the underlying OpenClaw framework ships updates, Cortex propagates them to every deployment automatically.
What you'd need without Cortex
For comparison, here's what standing up an equivalent agent requires manually.
| Task | DIY time | Cortex |
|---|---|---|
| Provision a cloud server | 30 min | Automatic |
| Configure firewall rules | 15 min | Automatic |
| Set up DNS routing | 20 min | Automatic |
| Provision SSL certificates | 15 min | Automatic |
| Install and configure reverse proxy | 30 min | Automatic |
| Deploy agent framework | 1–2 hours | Automatic |
| Write system prompt / knowledge base | 2–4 hours | Guided interview |
| Set up memory system | 4–8 hours | Automatic |
| Configure channel integrations | 1–2 hours | Automatic |
| Set up monitoring and health checks | 1–2 hours | Automatic |
| Manage secrets securely | 1–2 hours | Automatic (Vault) |
| Ongoing maintenance | Ongoing | Automatic |
| Total | ~15–30 hours | ~10 minutes |
Built for non-technical teams
No terminal required
Everything happens through a guided web interface.
No infrastructure knowledge needed
You'll never see a server, a config file, or an SSL certificate.
No prompt engineering
The knowledge interview translates your business context into structured knowledge automatically.
No maintenance
Updates, monitoring, and health checks are handled by the platform.
Your first agent is 10 minutes away.
No DevOps required. No infrastructure expertise needed.