Your code is ready. Ship it to the AI-Native Cloud.
Sealos unifies container builds, managed PostgreSQL and Redis, S3 buckets, LLM gateway, and live observability in one cloud platform. Describe your stack in plain English, approve the deploy plan, and run in production with confidence.
Between “runs on localhost” and “live in production” Sealos closes the gap.
AI coding assistants help you build software in hours. Sealos takes the baton from your local folder or Git repository and delivers a live, monitored production service on the cloud.
Build with your favorite AI coder
Write features fast in Cursor, Claude Code, or your local IDE until your project runs cleanly on your machine.
Point Sealos to your project
Select your local directory, connect a Git repository, pick a template, or describe your architecture in the task chat.
Approve the deploy plan and go live
Sealos builds the container image, provisions managed databases, wires environment references, assigns an HTTPS domain, and monitors health.
Here is what a real cloud deployment looks like.
The built-in agent inspects your project and proposes a structured Deploy plan. Every service, database, and resource spec waits for your click on Deploy.
DATABASE_URL=${{acme-postgres.DATABASE_URL}} · REDIS_URL=${{acme-redis.REDIS_URL}}One cloud workspace for the entire application lifecycle.
From initial build to Day-2 monitoring and incident response, every operational surface lives right beside your project chat.
Ship from five starting points onto a live project canvas.
Start from a local source folder, a Git repository, a Docker image, a managed database, or hundreds of ready-to-run templates.
- Automatic runtime detection and container builds from local folders or Git branches.
- Wire service-to-service variable references (
${service.NAME}) automatically.
Monitor CPU, memory, and storage curves across every instance.
Track resource consumption from 1 hour to 30 days with deployment markers plotted directly on the timeline and one-click version rollback.
Encountered a crash? Let the AI agent inspect logs first.
Stream live logs across the project, filter by severity level, and let the built-in agent correlate status, identify root causes, and propose fixes.
Every cloud capability your application needs, unified in one platform.
Run web backends, stateful databases, object storage buckets, and LLM-powered agents on Sealos.
Conversational Deploy Plan
Describe your stack in natural language. Review and edit services, CPU/RAM specs, and variables on a structured card before deployment.
Visual Project Canvas
Map every service, database, and AI Gateway key in your project with live health indicators and instant public HTTPS links.
Managed Databases
Provision standalone or replicated PostgreSQL, Redis, MySQL, and MongoDB instances in seconds with automated backups and point-in-time restore.
S3-Compatible Buckets
Create private or public-read object storage buckets for user uploads, static assets, and backups with workspace-wide S3 access keys.
Live Metrics & Inspector
Track 1h to 30d CPU, memory, and storage charts, manage environment variables, mount config files, and roll back deployments.
AI Log Troubleshooting
Stream runtime and build logs with time-range brushing while the agent diagnoses crashes, networking issues, and database bottlenecks.
Unified AI Gateway
Call mainstream chat, embedding, rerank, audio, and PDF models through one endpoint supporting OpenAI-compatible and Anthropic protocols.
Workspaces & Multi-Region
Isolate projects by workspace, invite team members as Owner, Manager, or Developer, and switch across global cloud regions.
Building an AI app or autonomous agent? Wire LLM access in one click.
Create an API key in the built-in AI Gateway, connect the AI Gateway node to your service on the Project Canvas, and track token usage, latency, and call logs in real time.
import OpenAI from 'openai';
const client = new OpenAI({
baseURL: process.env.SEALOS_AI_GATEWAY_URL, // ${{ai-gateway.ENDPOINT}}/v1
apiKey: process.env.SEALOS_AI_KEY, // ${{ai-gateway.API_KEY}}
});Know your cloud cost before you deploy.
Start with a 7-day free trial. Choose a fixed monthly plan that bundles compute, storage, networking, and AI credits into one predictable bill.
Start building for free
7-Day TrialDownload the desktop workspace for macOS or Windows, sign in with Google, GitHub, or Email, and deploy full-stack projects with trial CPU, memory, storage, and AI credits included.
Fixed monthly resource packages
All-InclusiveEvery monthly plan provides clear workspace quotas for CPU, Memory, Storage, Pods, Ports, and monthly resetting AI Credits that power your built-in agent and AI Gateway calls.
Upgrade as your traffic grows
PredictableMove smoothly from Starter and Hobby plans for side projects to Standard plans with expanded memory, high-availability databases, and priority support.
Built for developers and teams who ship to production.
From the first prompt in your IDE to thousands of live requests, Sealos keeps your stack online.
AI Builders & Indie Hackers
You built a full-stack web app or AI tool over the weekend with Cursor or Claude Code and want real users on a live HTTPS domain today.
"Turn a weekend AI prototype into a live production app with PostgreSQL and HTTPS in minutes."
Product & Full-Stack Teams
You want application deployments, managed databases, S3 buckets, LLM keys, and monitoring unified in one collaborative cloud workspace.
"Apps, databases, object storage, AI Gateway, and logs—managed in one clean workspace."
DevOps & Platform Engineers
You want an AI agent to handle first-pass log analysis, health checks, and routine diagnostics while you retain human approval over production changes.
"Let the agent read thousands of log lines and surface the root cause; you review and approve the fix."
Frequently asked questions
Everything you need to know about deploying full-stack applications, databases, and AI agents on Sealos.
AI coding tools help you write and edit source code on your machine. Sealos takes that local project folder or Git repository and runs the entire cloud delivery lifecycle: building container images, provisioning managed databases, wiring environment variables, issuing HTTPS domains, and monitoring live production services.
Sealos is an AI-native cloud platform built for complete, stateful full-stack applications. You can run any Docker container, attach persistent volumes, provision PostgreSQL, Redis, MySQL, and MongoDB, manage S3-compatible buckets, and route LLM calls through the unified AI Gateway—all backed by predictable monthly plans and a built-in AI operations agent.
Plain English is all you need to get started. Describe your project and Sealos generates a complete Deploy plan automatically. Experienced engineers also have full access to customize container images, ports, environment variable references, config files, persistent volumes, and cluster kubeconfig files.
You stay in control at every step. In the default Auto review permission mode, every deployment, resource upgrade, configuration change, or deletion presents an explicit Deploy plan or approval card in chat and waits for your confirmation. You can also switch to Confirm before changes or Full access at any time per task.
The Sealos desktop workspace is free to download, and new accounts include a 7-day free trial. Production cloud resources run on fixed monthly plans (Starter, Hobby, Standard) that include dedicated workspace quotas for CPU, Memory, Storage, Pods, Ports, and monthly resetting AI Credits.
Your applications, databases, and buckets run in your dedicated Sealos cloud workspace across selectable global regions. The Sealos desktop workspace is available for both macOS (Apple Silicon and Intel) and Windows.
From local code to the AI-Native Cloud, in one conversation.
Download Sealos for macOS or Windows and ship your next full-stack project to production today.