No Dockerfile
The platform detects Django from requirements.txt / pyproject.toml, picks the build and start commands, and lists the environment variables your code reads.
Django deploy guide · Agent Lab Deploy
Upload your Django project as it is — no Dockerfile — or tell Claude Code, Codex or Cursor "deploy this". Agent Lab builds it into a web service, gives every version a preview URL with rollback, and checks uploads for leaked keys. Apps and databases run on Google Cloud in Taiwan.
> deploy this Django app
sites_createmy-django
sites_deployDjango detected
sites_deploy_statusbuilt · secret scan passed
Live at my-django--acme.hosting.agentlab.run
Why deploy Django on Agent Lab
Python project, built from source with no Dockerfile, deployed as a web service.
The platform detects Django from requirements.txt / pyproject.toml, picks the build and start commands, and lists the environment variables your code reads.
Every upload is a new version with its own URL. Look first, then go live; switch back to any version in one click.
Uploads are checked for API keys and credentials before they can go live. Secrets go in the console, never in the code.
Create a database and connect it; the connection is written into the app's environment and the password is never shown.
Your options
Scroll the table sideways.
| What you care about | Agent Lab Deploy | Your own VPS |
|---|---|---|
| Setup | Upload or say one sentence; no Dockerfile | SSH, a runtime, a process manager, a reverse proxy |
| HTTPS and domains | Automatic, custom domains on paid plans | Certbot and DNS by hand |
| Preview and rollback | Every version has its own URL; roll back in one click | Write your own scripts |
| Before going live | Uploads checked for leaked keys | Nothing unless you set it up |
| Database | PostgreSQL in one click, connection written into the app | Install and back it up yourself |
| Cost to start | Free plan: NT$0, one size-S app (sleeps when idle) | A VPS at roughly NT$200–600 a month, plus your time |
Steps
Keep requirements.txt / pyproject.toml at the top of the project and commit the lockfile. Leave out node_modules, .git, dist and .env.
Drop the folder on a project's Deploy tab, push from GitHub, or ask your AI tool through Agent Lab MCP.
The platform builds the version and checks it for leaked keys. Enter any secrets it lists in Settings.
The first version goes live once it builds. Later ones get a preview URL; go live when you're happy.
Setup
Serve static files with WhiteNoise and run collectstatic at build time; the filesystem is read-only at run time. Read DATABASE_URL with dj-database-url and connect an Agent Lab PostgreSQL. Don't run migrate on every start; have your AI tool run it once before going live.
# Agent Lab 偵測到 Django 後自動產生 WSGI 伺服器指令
# Agent Lab detects Django and generates the WSGI server command
pip install -r requirements.txt # 也支援 Poetry、uv
# 啟動 WSGI app,監聽 $PORT(預設 8080)
# Python 版本:.python-version → pyproject → 3.12SECRET_KEY generate it in the console; keep it out of settings.py.ALLOWED_HOSTS must include your Agent Lab address and any custom domain.DEBUG set False in production.DATABASE_URL written for you when you connect an Agent Lab PostgreSQL.Read https://app.agentlab.cresclab.com/agent/deploy.md and deploy this Django project to Agent Lab. Show me the build plan and the environment variables it needs first, tell me where to enter any secrets, and wait for my OK before it goes live.FAQ