Deploy a LangGraph Agent in one command.

Start here: https://github.com/DefangSamples/sample-agentic-langgraph-template

Set your Tavily API key: defang config set TAVILY_API_KEY
Run locally: docker compose -f compose.dev.yaml up --build
Deploy: defang compose up

Connect Defang to your IDE with the MCP Server and deploy straight from your editor. Works with VS Code, Cursor, Claude, Windsurf, and more.

Run: defang mcp setup --client=

Then try prompts like “deploy this with defang.”
Learn more: https://docs.defang.io/docs/concepts/mcp

Deploy a Strands Agent in one command.

Start here: https://github.com/DefangSamples/sample-agentic-strands-template

1-click deploy to the Defang Playground or your own cloud (AWS, GCP, DigitalOcean).

Run locally: docker compose -f compose.dev.yaml up --build
Deploy: defang compose up

Have a Docker compose.yaml?

Authenticate your cloud account, then run:

defang compose up --provider=aws

Or switch out aws for gcp or digitalocean if that's what you use.

Defang provisions the resources and deploys your services, all in your own account.

Check out docs.defang.io for more info.

Start deploying AI agents with n8n running in your own AWS account. Easy to do with Defang.

#aws #cloud #n8n #ai

introducing defang mcp ✨
deploy your vibe coded project from any ide to the cloud

watch it in action w/ cursor

Deploying Defang with Defang: Part 1

Deploying applications is hard. Deploying complex, multi-service applications is even harder.

When we built Defang Portal, deploying its six services, including auth, databases, and frontend, was more complex than we wanted, even with early Defang tooling.