Scout

Made by: ScoutOS Type: Agent Deployment Platform Best for: Building and running production AI agents, teams deploying agents at scale

What it is

Scout is a platform for deploying, managing, and monitoring AI agents in production. Where a model like Claude is the brain and a framework like LangChain is the wiring, Scout is the building — the infrastructure that makes agents real, observable, and reliable.

If you've built an agent that works great in a Jupyter notebook but you're not sure how to run it 24/7, share it with your team, or know when it breaks — Scout is the answer.

The core problem Scout solves

Running an agent locally is easy. Running it in production is not:

Scout addresses all of these.

Core features

Deploy from source

Push your agent code and Scout builds, containerises, and deploys it — no Docker expertise required. Behind the scenes, it runs on Alpine Linux + Kubernetes.

# Deploy your agent
scout deploy --name my-agent --entry agent.ts

Or via the build API:

curl -X POST "https://scoutos.live/api/build?subdomain=my-agent" \
  -H "X-API-Key: YOUR_KEY" \
  -F "artifact=@agent.tar.gz"

Managed scheduling

Set agents to run on a schedule — hourly, daily, on a cron expression — without managing cron servers or dealing with silent failures. Scout logs every run and alerts on failures.

Agent memory and storage

Scout provides persistent storage that agents can read and write across runs. Your agent doesn't restart from scratch every time it wakes up — it remembers.

Tool integrations

Pre-built connectors for common services: email, Slack, Google Workspace, databases, REST APIs. Plug them in without writing boilerplate authentication code.

Observability dashboard

Every agent run is logged: what it was asked, what tools it used, how long it took, how much it cost. You can replay runs, compare performance across versions, and debug failures without guesswork.

Multi-model support

Switch between Claude, GPT-4, Gemini, or your own fine-tuned model via a config change — no code changes required.

Getting started

npm install -g @scoutos/cli
scout login

scout init my-first-agent
cd my-first-agent

// agent.ts
import { Agent, tool } from '@scoutos/sdk'
 
const agent = new Agent({
  name: 'my-first-agent',
  model: 'claude-sonnet-4-5',
  systemPrompt: 'You are a helpful assistant that...',
  tools: [
    tool.webSearch(),
    tool.sendEmail(),
  ]
})
 
export default agent

scout deploy

Scout vs DIY infrastructure

Who uses Scout

• Product teams building AI features that need to be reliable in production
• Operations teams deploying agents to automate repetitive workflows
• Founders who want to ship an AI product without hiring a DevOps engineer
• Enterprises that need audit trails, access controls, and cost management

Pricing

Scout offers a free tier for development and small deployments, with team and enterprise plans based on compute usage and feature requirements. See scoutos.live/pricing (opens in a new tab) for current rates.