Defang

Deploy AI agent applications from a Docker Compose file to any cloud provider in minutes.

Verified API available Works with n8n Free tier
Quick facts
What is it Deploy AI agent applications from a Docker Compose file to any cloud provider in minutes.
Pricing Freemium — from $10/mo
Free tier Yes
Platform Web Application
API Yes
Works with n8n
Best for deploying AI agent applications to the cloud, simplifying infrastructure setup for hackathons
Domain registered 2021

Data updated Aug. 1, 2026

What does Defang do?

Defang is a deployment platform that lets developers instantly deploy AI agent applications to any major cloud provider. It works directly from a standard Docker Compose file, eliminating the need for complex Infrastructure-as-Code (IaC) tools like Terraform. You can deploy applications built with any framework (like CrewAI, LangGraph, or AutoGen) and written in any language, and Defang handles the cloud configuration for compute, storage, and networking.

What makes Defang stand out is its deep integration with developer workflows. It offers an MCP (Model Context Protocol) integration, allowing you to deploy directly from popular AI-powered IDEs like Cursor, Windsurf, and VS Code. The platform automatically configures everything from security groups and IAM roles to load balancing and auto-scaling, including GPU support. It also integrates with managed LLM services like AWS Bedrock and Google Vertex AI, so you don't have to modify your application code.

This tool is a major time-saver for developers and AI engineers building agentic applications, from students at hackathons to startup founders moving prototypes to production. It's ideal for anyone who wants to go from a working Docker Compose setup on their laptop to a secure, scalable, cloud-hosted application in minutes, without becoming an expert in each cloud provider's specific infrastructure services.

#ai agents#cloud infrastructure#deployment#devops#docker compose#mcp

Key features

What makes it stand out
01
Deploy from Docker Compose files without complex IaC
02
Integrate with major AI frameworks like CrewAI and LangGraph
03
Deploy to AWS, GCP, and other clouds with automatic configuration
04
IDE integration via MCP for deployment from Cursor, VS Code, etc.
05
Automatic handling of security, networking, and scaling

Who is Defang for?

Who benefits most from this tool
deploying AI agent applications to the cloud
simplifying infrastructure setup for hackathons
scaling prototype applications to production

Pricing

Free tier available — start without a credit card

Hobby

Free
  • Defang Playground
  • Max 1 project x 1 environment
  • Max 4 services, 1 GB memory, 1 vCPU
  • 2 ingress ports
  • Ephemeral Postgres and Redis
  • Bring-Your-Own-Domain (but no apex domains)
  • Generate + Debug with small model
  • Data may be used for AI Training
  • Community support via Public Discord Channel

Personal

$10.0/month
  • Defang Playground + BYOC (1 cloud)
  • Max 1 project x 3 environments
  • Container Service with Spot instances only
  • App. Load Balancer
  • Managed Postgres and Redis Services
  • Bring-Your-Own-Domain with apex domain support
  • Generate + Debug with small model
  • Data not used for AI training unless explicitly opted in
  • Team support via Public Discord Channel - 3 day response time

Pro

$30.0/month
  • Defang Playground + BYOC (2 clouds)
  • Max 10 projects x 3 environments
  • Container Service with GPUs, Autoscaling, On-demand
  • App. Load Balancer
  • Managed Postgres and Redis Services
  • Bring-Your-Own-Domain with apex domain support
  • Generate + Debug with large model
  • Data not used for AI training unless explicitly opted in
  • Team support via Public Discord Channel - 1 day response time

Trust & presence

Domain Domain registered 2021

Gallery

Click any image to enlarge

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