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Docker (SQLite)

Default

For Homelab, small teams, evaluation, proof-of-concept

One container. SQLite bundled in the image. No env vars required.

Homelab Small team Evaluation

Sources

Current release: v1.6.5 (released 2026-05-27)

Image: z4jdev/z4j:1.6.5 (pin version) or z4jdev/z4j:latest (track current)

Multi-arch: linux/amd64, linux/arm64. The SAME image handles SQLite and Postgres - the database is selected at runtime via Z4J_DATABASE_URL.

Architecture

What runs: 1 process

z4j ships one image for the brain. Backend and dashboard are bundled. There is no separate frontend container.

1

z4j-brain

z4jdev/z4j:latest

One image. Bundles the FastAPI backend, the React dashboard, and the SQLite driver. Auto-generates secrets on first boot, persists them to the z4j_data volume, auto-runs migrations. Exposes port 7700.

Install

Get running in minutes

bash
# The default. One file. SQLite bundled in the image.
git clone https://github.com/z4jdev/z4j.git && cd z4j
cp .env.example .env       # fill Z4J_SECRET + Z4J_SESSION_SECRET
docker compose up -d

# Tail logs for the first-boot admin setup URL.
docker compose logs -f z4j-brain

# Or skip interactive setup with bootstrap env vars in .env:
#   [email protected]
#   Z4J_BOOTSTRAP_ADMIN_PASSWORD=<long random>

# Add Caddy auto-HTTPS on top:
docker compose -f docker-compose.yml -f docker-compose.caddy.yml up -d

After the brain is running, open http://localhost:7700 and sign in.

Verify

Confirm everything is wired up

Each framework adapter ships a `doctor` command that probes brain reachability, TLS, WebSocket upgrade, and the on-disk buffer path. Run it as the same user the service runs under.

Django

bash
python manage.py z4j_doctor

Flask

bash
python -m z4j_flask doctor

FastAPI

bash
python -m z4j_fastapi doctor

Bare / Celery / RQ / etc.

bash
python -m z4j_bare doctor

Exits 0 on all-green, 1 on any failure. Add --no-websocket to skip the WS round-trip, --json for scripts. Catches the common www-data-can't-write-$HOME startup failure (the agent now auto-relocates the buffer to $TMPDIR/z4j-{uid} and logs a single WARNING). See service-user deployments.

Hostname / domain access

Reach the brain via any name you want

The brain validates the HTTP `Host:` header on every request to defend against cache-poisoning. Auto-detect handles the common cases; the `z4j allowed-hosts` CLI handles the rest.

What's auto-allowed (no config)

  • localhost, 127.0.0.1, [::1]
  • The system hostname + FQDN (incl. Tailscale's <host>.<tailnet>.ts.net)
  • Every LAN IP bound on the host (covers 192.168.x.x, Docker bridges, Tailscale)

Adding a custom domain (one-time, persisted)

For a public DNS name (reverse proxy, Cloudflare Tunnel, internal LB), persist it once via the CLI:

bash
z4j allowed-hosts add tasks.example.com
z4j allowed-hosts list                  # show current set
z4j allowed-hosts remove old.example     # idempotent
z4j allowed-hosts path                   # ~/.z4j/allowed-hosts
# Restart `z4j serve` to pick up the change.

Precedence (highest first)

  1. Z4J_ALLOWED_HOSTS env - pins the list, replaces auto-detect
  2. --allowed-host CLI flag - additive, repeatable
  3. ~/.z4j/allowed-hosts file - persistent, additive
  4. Auto-detect - localhost + hostname + FQDN + LAN IPs

Security

Rejected requests get a generic 400 in production mode (no internal hostname leakage). Dev mode shows a verbose response with the rejected host and a fix command. Operators always get the verbose detail in the server log via request_id correlation.

Requirements

  • Docker 20.10 or newer
  • Port 7700 bound to localhost by default (reverse-proxy for public access)
  • Persistent volume for SQLite database and persisted secrets
Database

SQLite, stored in the z4j_data named volume

Scale envelope

Up to ~50 agents, ~5k events/minute, single container deployment

Decision helper

Is this the right tier for you?

Use this when

  • First-time evaluation: clone the repo, docker compose up, done
  • Internal tools for a team of 2 to 20 developers
  • Homelab Docker Compose stacks (Synology, Unraid, TrueNAS)
  • Customer demos and sales engineering POCs
  • Single-instance production where ops simplicity wins over scale

Not ideal when

  • You already run Postgres and want central backups
  • You need brain-side horizontal scaling
  • Dozens of simultaneous admins issuing bulk actions
What ships

Capabilities in this tier

HTTPS

Put a TLS terminator in front

The brain image binds HTTP on port 7700. In production, route traffic through a reverse proxy that terminates TLS. z4j does not bundle one because your infrastructure likely already has one.

For a homelab with a public DNS name, the optional Caddy compose overlay shipped in the repo gives you auto-HTTPS via Let's Encrypt in about two minutes. Teams with existing Traefik, Cloudflare, or nginx plug z4j in with a few lines of config.

TLS setup guide
Upgrade path

How to move up a tier

Switch to docker-compose.postgres.yml when you outgrow SQLite. The same image binary auto-detects Postgres from Z4J_DATABASE_URL. Your settings, projects, and audit chain transfer.

Install adapters

Works with every engine and framework

Framework adapters

Engine adapters

Other deployments

Compare with

Ready to run z4j with Docker (SQLite)?

Copy the install command above, run it, and open the dashboard on port 7700.