Official · AI/ML · 1 db · 1 docker
langflow
Langflow
Drag-and-drop interface for building AI-powered agents and workflows.
preflight
topology
How this stack is wired
Each card is a service this deploy creates. A line means one service reads another through env.
listen
Ports the stack publishes
Service on the left. Host port, then the container port and scheme.
- langflow80→7860/http
you set
Values this template leaves for you
Literals and placeholders. Wiring to another service lives on the topology, not here.
LANGFLOW_PORT
langflow
7860
LANGFLOW_LOG_LEVEL
langflow
debug
LANGFLOW_SUPERUSER
langflow
admin
notes
Context for this stack
Written with the template. Topology, binds, and values you set live in the sections above.
Langflow is an open-source visual platform for building, testing, and deploying AI workflows and agents. Using a drag-and-drop interface, you can connect LLMs, prompts, memory, tools, vector databases, and APIs to create production-ready AI applications.
About Hosting Langflow
This dFlow template deploys the official Langflow Docker image along with a PostgreSQL database for persistent storage. Once deployed, Langflow is accessible via your dFlow URL, where you can complete the initial setup and start building AI workflows.
Common Use Cases
- Build AI workflows visually without writing boilerplate code
- Develop Retrieval-Augmented Generation (RAG) pipelines
- Create and deploy AI agents with REST APIs
- Experiment with prompts, models, and AI integrations
- Connect to vector databases and external APIs
Dependencies
- Langflow (Official Docker image)
- PostgreSQL
Environment Variables
The template includes the following default configuration:
1LANGFLOW_PORT=78602LANGFLOW_SECRET_KEY=<your-secret-key>3LANGFLOW_DATABASE_URL=<Automatically configured PostgreSQL connection>
Why Deploy on dFlow?
Deploy Langflow in minutes with automatic networking, HTTPS, PostgreSQL provisioning, persistent storage, custom domains, and centralized application management—all from a single dashboard.