Agent orchestration

Nitro Fleet Agents NFA

One console for running a fleet of AI agents — the workflows they follow, the tools they can reach, and the record of everything they did.

What it is

A control room for agents, not a chat box.

Most agent work starts life as one script calling a model in a loop. That holds up until you need a second agent, a tool with real consequences, or an answer to “what did it actually do at 2am?”

Fleet Agents is the layer above that script. You describe the fleet — which agents run, in what order, and which tools each one is allowed to touch — and the console handles the running: queues, retries, schedules, and long jobs that outlive a browser tab.

Every run is recorded. Steps, tool calls, token spend, and the exact point where a person said yes or no.

Capabilities

What the console gives you

Six things that turn a working prototype into something you can leave running.

Multi-agent workflows

Chain agents into a workflow with explicit hand-offs, so each step has one job and one owner.

Scoped tool access

Give each agent only the tools its job needs, and see every call it made with the arguments it used.

Run observability

Traces, timings, and token spend per run, so a slow or expensive workflow is easy to find and fix.

Human-in-the-loop approvals

Pause a run before anything irreversible and route it to a person for a plain yes or no.

Enterprise-grade guardrails

Policy checks on inputs and outputs, with hard limits an agent cannot talk its way past.

Schedules and queues

Nightly jobs, long runs, and bursty workloads sit on a queue instead of an open browser tab.

How it works

From script to fleet in four moves

01

Define the fleet

Name the agents, the order they run in, and the tools each one is allowed to call.

02

Wire your tools

Point agents at your own APIs and data using scoped credentials, not one shared key.

03

Run and watch

Start a run or put it on a schedule, then follow it live as each step reports in.

04

Review the record

Every run leaves a trace: steps, tool calls, spend, and who approved what.

Who it’s for

Built for the second week of an agent project

Teams past the prototype

You have an agent that works on a laptop and now needs somewhere real to live.

Back-office automation

Repetitive work that crosses several systems and still wants a person on the final step.

Regulated workflows

Anywhere “show me exactly what happened” is a requirement rather than a nice-to-have.

Want to see it run?

Tell us the workflow you’re trying to hand over.

Talk to us