Deploy Your Local Agent to the Cloud: Run AI Agents Without Keeping Your Laptop Open
If you've built an AI agent locally — Claude Code, a custom LLM agent, an MCP-powered workflow — you've hit the same wall every builder hits: the agent works perfectly until you close your laptop.
The goal of deploying your local agent to the cloud is simple: your agent keeps working 24/7, your channels stay connected, and you get a full audit trail of everything it did — without managing servers, billing for compute cycles, or stitching together infrastructure.
The Problem With Running Agents Locally
You've spent time building something useful. Your agent answers customer questions, handles a support inbox, runs scheduled tasks, or qualifies leads. It has the right MCP tools configured, the right system prompt, the right channels connected.
Then:
- You close your laptop → agent stops
- You need to leave the house → agent stops
- Your machine goes to sleep → agent stops
- Customers message at 11pm → nobody answers
This isn't a failure of your agent. It's a deployment problem. Your agent is good. It just has nowhere to live.
The traditional fix — a VPS, a Fly.io deployment, a container on Railway — solves the uptime problem but creates three new ones: you manage the infrastructure, you lose the channel connections (WhatsApp, email, website widget), and there's no audit trail of what your agent did and why.
What You Actually Need
To deploy a local agent to the cloud properly, you need:
- Persistent runtime — the agent runs 24/7, not only when your machine is on
- Channel connections — WhatsApp, email, website widget stay connected without you maintaining them
- Audit trail — every turn logged: what the agent received, what it decided, what it sent
- Daily reports — a summary of agent activity so you know what happened overnight
- No infrastructure to manage — no servers, no Dockerfiles, no cloud billing dashboards
That's what Optimly provides for builders.
How Optimly Works for Builders
Optimly is an AI employee platform. For small business owners, it's a no-code tool to hire an AI employee. For builders, it's a managed cloud runtime that lets you deploy an existing agent without changing your code or managing infrastructure.
What you bring:
- Your agent's configuration (what it knows, what it's allowed to do, its persona)
- Your MCP tool setup
- Your channel connections (WhatsApp number, email address, website)
What Optimly runs for you:
- The managed cloud runtime — your agent stays on 24/7, not only while your laptop is open
- Channel adapters — WhatsApp, email, and website widget are managed for you
- Logging — every conversation turn is stored with a full trace
- Decision policy — a reviewable YAML file declaring when the agent escalates, when it asks, when it acts
- Daily report — what your agent handled overnight, sent to you every morning
What you don't touch:
- Servers, containers, or cloud billing
- Channel API management (WhatsApp Business API, email relay)
- Uptime monitoring
Deploy Your Local Agent: Step by Step
Step 1: Describe the job in Optimly's hiring interface. Optimly uses plain language to define what your agent does. For builders with an existing agent, this maps directly to your system prompt: what the agent knows, what channels it uses, what it may do autonomously, and when to escalate.
Step 2: Configure your decision policy. Your agent declares its policy in a reviewable YAML file: when does it escalate? When does it ask for clarification? When does it act without asking? This is the audit-friendly governance layer that makes it safe to leave the agent running unsupervised.
Step 3: Connect your channels. Link your WhatsApp Business number, your email address, and add the website widget script. These stay connected through Optimly's channel adapters — no API key rotation, no webhook management on your side.
Step 4: Clone and deploy. Your agent goes live. It starts handling conversations immediately, on all connected channels, 24/7. Optimly runs the compute on its infrastructure — you get one flat invoice.
Why Not Just Deploy to a VPS or Railway?
Good question. Here's the honest comparison:
| VPS / Railway / Fly.io | Optimly | |
|---|---|---|
| Uptime | ✅ You manage it | ✅ Managed for you |
| WhatsApp connection | ❌ You build and maintain | ✅ Built-in |
| Email channel | 🟡 You configure | ✅ Built-in |
| Website widget | ❌ You build | ✅ Built-in |
| Audit trail | ❌ You build your own logging | ✅ Every turn logged |
| Daily reports | ❌ You build | ✅ Automatic |
| Decision policy | ❌ Implicit in code | ✅ Explicit, reviewable YAML |
| Ops overhead | ❌ You own it | ✅ None |
| Pricing | Variable (compute + API costs) | $49/month flat |
A VPS gives you maximum flexibility. Optimly gives you a working deployment with channels, logging, and reporting already built — in exchange for running on Optimly's managed runtime rather than your own infrastructure.
For most builders who want their agent working while their laptop is closed, Optimly's tradeoff is the right one.
Who Is This For?
Claude Code users who have built an agent that works in a session and want it to keep running between sessions — answering customers, handling a support inbox, running scheduled tasks.
Builders with MCP-configured agents that have external tool connections (calendar, database, CRM lookups). Optimly's MCP support keeps those connections intact in the cloud runtime.
Developers who want zero ops overhead. You built the agent. You don't want to also build the deployment, the channel adapters, the logging system, and the monitoring stack.
Anyone who's ever come back from a weekend to find three unanswered customer messages. The agent was ready. The laptop wasn't.
What Stays in Your Control
Deploying to Optimly doesn't mean losing control of your agent:
- The decision policy is yours — you write what the agent may do autonomously and what requires escalation
- Every turn is logged — you can replay any conversation and see exactly what the agent received, decided, and sent
- You can update the agent's knowledge and behavior anytime — changes take effect immediately
- You get the daily report — a summary of what your agent handled, every morning
The governance plane (what the agent may do, the full audit trail, the daily report) is what makes it safe to run an agent unsupervised. That's not an afterthought in Optimly — it's the architecture.
Pricing
$49/month for one AI employee (agent). $199/month for up to five.
That's the flat cost: compute, channel adapters, logging, reports, and all infrastructure. No separate bills for WhatsApp API, email relay, or hosting.
First 14 days free, no credit card required.
Deploy your agent to Optimly →
Frequently Asked Questions
What local agents can I deploy to Optimly? Optimly is designed for agents that handle customer conversations, inbox management, and scheduled tasks. If your agent uses a system prompt, a knowledge base, and external tools — it maps directly to Optimly's hiring interface. MCP tool configurations are supported.
Do I need to change my agent code to deploy to Optimly? No. You map your agent's configuration (what it knows, what it may do) to Optimly's plain-language hiring interface. Your underlying agent logic translates directly to Optimly's runtime without rewriting code.
How is Optimly different from deploying to a VPS? A VPS gives you uptime but not channels, logging, or reports. Optimly gives you all four: managed uptime, built-in WhatsApp/email/website channels, full per-turn logging, and a daily activity report — with no infrastructure to manage.
What happens to my agent when my laptop is off? Nothing — it keeps running. Your agent lives in Optimly's cloud runtime. It answers messages, runs scheduled tasks, and handles its channels independently of whether your machine is on.
Is there a free trial for builders? Yes. Optimly offers a 14-day free trial with no credit card required.
See also: What Is an AI Employee? · How to Measure AI Employee Performance · Add an AI Employee to Your Website