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Self-host Langflow

updated Sep 2026prices checked · Jul 2026Install verified on Ubuntu 26.04 · Sep 2026 · how we test
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A visual builder for AI agents and workflows: connect models, vector stores and tools as components on a canvas, then serve each flow through an API or as an MCP server. Runs on SQLite by default, or PostgreSQL for production.

Key facts

CategoryAI Agent Platforms
LicenseMIT
StackPython, FastAPI, React, TypeScript
Min RAM2048 MB
Official imageyes
Measured idle RAM1229 MB
Difficulty

What you need

  • Any VPS with at least 2048 MB of RAM
  • A domain you control — most self-hosted setups need HTTPS in front of them
  • Under an hour if you've used Docker before
Where to host itaffiliate disclosure
Hetzner Cloudrun it on
From $23.59/mo · 2 vCPU / 4 GB / 80 GB · EU + US
Get Hetzner Cloud (opens in new tab)
Kamaterafree trial
From $4/mo · 1 vCPU / 1 GB / 20 GB · US + EU + Asia
Start free on Kamatera → (opens in new tab)
DigitalOceanalso works on
From $6/mo · 1 vCPU / 1 GB / 25 GB · US + EU + Asia
Deploy on DigitalOcean → (opens in new tab)

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Install

Run these commands on your server:

# Langflow — official image (docs.langflow.org → Deploy Langflow on Docker), pinned to the 1.12.3 release
# the image sets LANGFLOW_AUTO_LOGIN=false, so a superuser password is required; generate one and keep it
export LANGFLOW_SUPERUSER_PASSWORD="$(openssl rand -hex 16)" && echo "$LANGFLOW_SUPERUSER_PASSWORD"
docker run -d --name langflow --restart unless-stopped \
  -p 7860:7860 \
  -e LANGFLOW_SUPERUSER=admin -e LANGFLOW_SUPERUSER_PASSWORD \
  -e LANGFLOW_CONFIG_DIR=/app/langflow -v langflow-data:/app/langflow \
  langflowai/langflow:1.12.3
# SQLite in the langflow-data volume; for PostgreSQL use the repo's docker_example/docker-compose.yml
# log in as admin  →  http://SERVER_IP:7860

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