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Artificial Intelligencedocker-ready1-click-deploypermissive-licenseOpen-Core🟢 Lightweight · ~256MB

LangFlow: Open-Core alternative to Voiceflow in 2026

LangFlow is a visual editor built on LangChain for designing AI flows with LLMs, agents and vector stores, exportable as an API, an alternative to Voiceflow.

Core is open source, but advanced features or enterprise support may be behind a paid tier — check the license.

Alternative to Voiceflow
License MIT155.6k starsWebsite GitHub Repository

Audit Snapshot

View notes →

  • License — Matches GitHub

  • GitHub — Active

  • Latest release — v1.12.5 · 6 days ago

  • Docker Compose — Partial

  • Production — Not production-tested by AltFreeStack

LangFlow vs. Voiceflow

Pros

  • Directly leverages the LangChain integration ecosystem

Things to consider

  • Can feel more technical than Flowise for non-developers

Quick Docker installation guide

Copy this docker-compose.yml, adjust the example passwords and run docker compose up -d on your server. See the full step-by-step guide →

💡 Official SaaS or self-hosted with AltFreeStack?

  • On the official cloud: a recurring monthly fee and usage limits on Voiceflow.
  • On your own VPS: the core is free to self-host on your own server — no more monthly SaaS fee, though some advanced features stay behind a paid plan.
docker-compose.yml
version: "3.9"
services:
  langflow:
    image: langflowai/langflow:1.12.4
    restart: unless-stopped
    ports:
      - "7860:7860"
    volumes:
      - langflow_data:/app/langflow
volumes:
  langflow_data:

🚀 Deploy in 1 command

Recommended for beginners

Copy this single command and paste it into your freshly created VPS's console (Vultr, DigitalOcean...). It downloads the script, prints it to your screen so you can see exactly what it's about to do (never a blind direct pipe), and only then installs Docker if needed, writes the files with secrets already generated, and starts everything — no nano, no pasting code blocks.

curl -sSL ".../api/deploy?stack=langflow" -o deploy.sh && cat deploy.sh && bash deploy.sh
See what this script does →

This docker-compose corresponds to an actively maintained project — last commit today.

This docker-compose not working for you? Report it on GitHub →

Technical profile

License
MIT
Category
Artificial Intelligence
Replaces
Voiceflow
Tech stack
PythonReact

Under the hood

Database

SQLite

Language

Python

Platforms

Web

Key features

  • Built on the LangChain ecosystem
  • Flows exportable as a REST API
  • Supports multiple LLM and vector providers

Preview

LangFlow interface preview

Public image provided by LangFlow on its own website.

💾 Backups in 3 steps (Day 2)

As long as the ./data folder (the "volume" mapped into the container) exists on your server, your data survives any restart or container update — that's the only thing you need to back up.

1. Create a compressed backup on the server

tar -czvf backup-$(date +%F).tar.gz ./data

2. Download it to your computer

From your computer's terminal (not your server's):

scp root@YOUR_IP:~/app/backup-*.tar.gz ./

3. Restore in case of emergency

tar -xzvf backup-file.tar.gz
🌐 Connect your domain with free SSL

Step 1 — Set up the DNS

In your domain registrar's dashboard (Cloudflare, Namecheap, GoDaddy...), create a record:

Type
A
Name/Host
@ (root domain) or a subdomain, e.g. app
Content/Value
Your server's public IP

Wait 5 to 15 minutes for the record to propagate across the internet.

Step 2 — Automatic reverse proxy with Caddy

One single file, no Nginx config or manual certificates — Caddy issues and renews Let's Encrypt HTTPS on its own.

Create a file called Caddyfile:

yourdomain.com {
    reverse_proxy localhost:7860
}

Start Caddy with this command (pulls the image and runs it in the background):

docker run -d -p 80:80 -p 443:443 --name caddy --restart always -v $PWD/Caddyfile:/etc/caddy/Caddyfile -v caddy_data:/data caddy