Zero-ops Agent Infrastructure

Deploy agents.
Not infrastructure.

You write the agent logic. AgentRail handles hosting, scaling, state management, tool integrations, and monitoring. One command. Production ready.

Open Dashboard →
# write your agent
$ agentrail init my-agent
$ agentrail deploy
# that's it. it's running.

Building agents is easy.
Running them is the job.

Every AI framework gets you to a working demo in hours. Then you spend weeks wiring up state, scheduling, monitoring, failover, and scaling. That's not agent development. That's DevOps.

95% of agent work is
software engineering
$47B AI agent market
by 2030
×
State persistence between runs? Build it yourself.
×
Tool integrations and MCP? Wire them manually.
×
Scheduling and triggers? Set up your own cron.
×
Observability and cost tracking? Hope you logged it.
×
Scaling from 1 to 1,000 agents? Re-architect everything.
×
Failover and recovery? Pray it doesn't crash at 3am.

Everything agents need to run

Six problems. One platform. Zero ops overhead.

01

Persistent State

Agent memory and context survive across runs. No database setup, no serialization headaches. State just works.

02

Tool Registry

Connect APIs, MCP servers, and custom tools through a unified registry. Your agent gets capabilities, not config files.

03

Smart Scheduling

Cron, webhooks, event-driven triggers. Agents wake up when they need to, sleep when they don't. You set the rules.

04

Full Observability

Every decision, every tool call, every token. See what your agent did, why, and how much it cost. Real-time.

05

Auto Scaling

From prototype to production fleet without re-architecting. One agent or a thousand, same deploy command.

06

Failover & Recovery

Agents crash. AgentRail catches them. Automatic retries, state checkpoints, and alerts. No 3am pages.

The future isn't building agents.
It's running them at scale.

AgentRail is the infrastructure layer between your agent code and production. Write the logic. We handle the rest.