AI AGENT OPERATIONS

The operations layer
for autonomous agents

RunLoop monitors, coordinates, and reports on your AI agents — 24/7. When they break, you know. When they drift, you catch it. Before it costs you.

3 agents healthy
0 failures today
7-day streak

The Problem

Agents go dark.
Nobody knows why.

You've deployed AI agents into production. They're doing real work — qualifying leads, handling support, coordinating data pipelines. And then they stop. Or worse: they keep running but produce garbage.

There's no ops layer for agents. No dashboards. No alerts. No heartbeat. Just hope.

// AGENT STATUS: UNKNOWN
agent_id: "lead_qualifier_v3"
last_seen: 4 hours ago
tasks_completed: 12,847
drift_score: high
⚠ Alert suppressed: no channel configured

What RunLoop Does

Everything your ops team would do
— if you had one watching 24/7

◎

Heartbeat Monitoring

Every agent pings RunLoop on a configurable cadence. Miss a beat, we alert you — with context, not just a red dot.

⚡

Drift Detection

Agents that complete tasks but produce off-target output. RunLoop flags drift before it compounds — not after the damage is done.

⚙

Autonomous Remediation

When an agent stalls or errors, RunLoop can restart it, reassign the task, or escalate — without a human in the loop.

☰

Ops Dashboard

One view: every agent, every task, every failure. Filter by team, agent type, failure mode, or time window.

✉

Smart Escalation

Triaged alerts routed to Slack, email, or PagerDuty. You decide thresholds, escalation paths, and quiet hours.

◈

Audit Trail

Every agent action logged, timestamped, and searchable. Compliance-ready out of the box. When something goes wrong, you know exactly what happened.

How It Works

Three steps. Zero overhead.

01

Instrument

Drop a 3-line SDK call into your agent. One import, one init, one start. Takes under 5 minutes.

02

Watch

RunLoop starts monitoring immediately. Heartbeats, drift scoring, error logs — all flowing into your dashboard in real time.

03

Sleep

Configure your alert thresholds once. RunLoop watches everything. You only get notified when it actually matters.

// runloop.py — instrument your agent in 3 lines
from
runloop
import
monitor, Alert
agent =
YourAgent
()
monitor
.
start(agent, alerts=[Alert(slack="#ai-ops")])

Why This Exists

"We've built tools to deploy AI agents. Nobody built the tool to make sure those agents actually do what they're supposed to do."

The first wave of AI agent tools made it easy to launch agents. The second wave will make it impossible to ignore what happens after they launch. RunLoop is that second wave. It's not a nice-to-have. It's the only way to run agents in production without crossing your fingers.

Stop flying blind.
Run your agents with confidence.

Every agent that breaks silently is a problem you won't know about until a customer tells you.

● Alpha access — coming soon