N8n Self Hosting
Romuald CzlonkowskiCommunityCreated by Romuald Czlonkowski
- Skill
- Workflow
- Automation and integrations
- MIT
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured procedure for deploying n8n on a fresh Linux VM via SSH. It automates the setup of Docker, Caddy for automatic HTTPS, and the necessary Docker Compose configuration. The skill supports two deployment architectures: a single-instance mode for simpler setups and a queue-based mode for horizontal scaling. It includes guidance on secret management, firewall configuration, and the integration of external task runners for Python Code nodes, ensuring a secure and functional self-hosted environment.
What it does
- Deploys n8n using Docker Compose and a Caddy reverse proxy.
- Configures automatic HTTPS via Let's Encrypt.
- Supports both single-instance and queue-based deployment modes.
- Manages fresh secret generation and environment variable security.
- Integrates external task runners for Python Code node execution.
- Provides procedures for updates, backups, and instance hardening.
When to use it
- When you need to install n8n on your own infrastructure or VPS.
- When you require a specific deployment mode like queue mode for scaling.
- When you need to enable Python Code nodes using external task runners.
- When you need to update, back up, or restore an existing self-hosted n8n instance.
Advantages
- Ensures consistent deployment through standardized templates.
- Automates complex tasks like TLS certificate management.
- Promotes secure practices by enforcing fresh secret generation.
- Provides clear paths for scaling from single to queue-based architectures.
Usage examples
- “Deploy n8n on my new Ubuntu server.”
- The agent will initiate the preflight check, ask for your deployment mode preference, and guide you through the installation of Docker and the n8n stack.
- “I need to set up n8n in queue mode with workers.”
- The agent will collect the necessary domain and SSH details, then configure the stack with Redis and Postgres to support horizontal scaling.
- “How do I enable Python Code nodes on my self-hosted n8n?”
- The agent will guide you through adding the n8nio/runners sidecar to your existing Docker Compose configuration.
- “Help me back up my self-hosted n8n instance.”
- The agent will provide the steps to safely export your encryption key, database, and volume data.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/czlonkowski/n8n-self-hosting/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip n8n-self-hosting.zip -d .agents/skills
Documentation by Romuald Czlonkowski
Deploying self-hosted n8n
This skill takes a fresh Linux VM (Ubuntu/Debian, root or sudo SSH) to a running, HTTPS, production n8n via Docker Compose behind Caddy (automatic Let's Encrypt TLS). It is for self-hosted n8n on Docker — not n8n Cloud, and not for building workflows (that's the rest of this pack).
Two deployment modes. The architectures differ, so pick the mode before doing anything.
You drive this end-to-end over SSH: preflight → install Docker → lay down the project →
generate secrets → launch → verify TLS → hand off. The template files live in assets/;
the per-mode and security depth live in the reference files named below.
Rule 0 — choose the mode (ask the user)
Do not guess. Ask, then commit to one:
| Single / regular | Queue | |
|---|---|---|
| Processes | one n8n | main + N workers |
| Extra services | none (SQLite) | Redis (queue) + Postgres (DB) |
| Executes workflows | in the main process | on workers, in parallel |
| Good for | 1 user, light/moderate load, simplest ops | high volume, heavy/long executions, horizontal scale |
| Compose | assets/docker-compose.single.yml | assets/docker-compose.queue.yml |
| Deep dive | SINGLE_MODE.md | QUEUE_MODE.md |
If unsure, start single — it's the simplest correct thing and covers most needs. Moving to queue later means swapping the compose file and migrating SQLite→Postgres, so if the user already expects real volume, start queue.
Rule 1 — secret hygiene (non-negotiable)
A misstep here leaks client credentials. Be diligent:
Generate every secret fresh, on the target box. Never copy an encryption key, DB password, or
.envfrom another n8n instance into this one. SeeSECURITY.mdfor theopensslcommands.Secrets live only in
.env(mode 600), referenced by the compose as${VAR}. Never inline a secret intodocker-compose.yml, the Caddyfile, or anything you commit.The
N8N_ENCRYPTION_KEYis sacred. It encrypts every stored credential. If it's lost or changes, all saved credentials become undecryptable. Set it explicitly, and tell the user to back it up off the box. Don't echo it into long-lived logs or chat history beyond what's needed to hand it over.Never expose internal services. Only Caddy (80/443) is public. n8n (5678), Postgres (5432), Redis (6379) stay on the private Docker network — the templates already omit their host port mappings. Don't add them.
.envand Caddy'scaddy_datavolume (the issued certs + ACME account key) are not artifacts to share. If you're working inside a git repo, confirm.envis git-ignored before any commit.
Inputs to collect up front
SSH target —
user@hostand how you authenticate (key path or the user confirms the agent already has access). Root or a sudo user.Domain — the full hostname n8n will live at, e.g.
n8n.example.com(→SUBDOMAIN=n8n,DOMAIN_NAME=example.com). The user must control its DNS.TLS email — for Let's Encrypt (
SSL_EMAIL).Timezone — IANA name for Schedule/Cron nodes (e.g.
Europe/Warsaw), elseEtc/UTC.Mode — single or queue (Rule 0). Queue → confirm the box has enough RAM (rough floor ~4 GB; each worker wants ~1–2 GB).
Optional modules — some features (currently Agents) are backend modules that stay off unless listed in
N8N_ENABLED_MODULES. Ask only if the user brings one up; if they do, read the modules section ofQUEUE_MODE.mdbefore enabling it, because in queue mode it has to reach the workers as well.Python Code nodes / who edits workflows — ask "Will workflows use Python Code nodes, or will anyone besides you edit workflows?" A yes to either means task runners in external mode: a
n8nio/runnerssidecar (one per worker in queue mode). The stockn8nio/n8nimage has no Python 3, so in the default internal mode every Python Code node fails withPython runner unavailable: Python 3 is missing from this system. ReadTASK_RUNNERS.mdbefore step 3.
The deploy flow
Work through these in order. SINGLE_MODE.md / QUEUE_MODE.md give the mode-specific command
detail; SECURITY.md covers secret generation and hardening; DAY2.md covers update/backup/restore.
1. Preflight (the cheapest failure is the one you catch here)
SSH in; confirm the OS is Debian/Ubuntu-like (
. /etc/os-release).DNS must already point at the box. Compare the box's public IP (
curl -s ifconfig.me) withdig +short <fqdn>(run it from the box AND ideally your laptop). If they don't match, stop — Caddy's ACME challenge will fail. Have the user create the A record, wait for it to propagate, then continue.Ports 80 and 443 must be reachable from the internet. Check the host firewall AND any cloud security group / network firewall (Hetzner Cloud, AWS SG, etc.) — these are outside the box and a common silent blocker.
2. Install Docker (if absent)
Check
docker --versionanddocker compose version. If missing, install Docker Engine + the Compose plugin (Docker's officialget.docker.comscript on Ubuntu/Debian is fine). Re-checkdocker compose versionbefore proceeding.
3. Lay down the project
Pick
DATA_FOLDER— an absolute path, e.g./opt/n8n. TheDATA_FOLDERvalue in.envmust equal this exact directory (the compose mounts${DATA_FOLDER}/caddy_config/Caddyfile, andinit-data.shis mounted via a relative./path), so always rundocker composefrom here. Create it, pluscaddy_config/andlocal_files/inside.Get the template files onto the box. They live in this skill's
assets/on your machine, not on the server — transfer each one. Eitherscpthem up, or (no local copy needed) write each file's contents over SSH, e.g.ssh <target> 'cat > <DATA_FOLDER>/docker-compose.yml' < assets/docker-compose.single.yml. Land them with these exact names:the chosen compose →
<DATA_FOLDER>/docker-compose.yml(rename it to exactly this)Caddyfile→<DATA_FOLDER>/caddy_config/Caddyfilequeue only:
init-data.sh→<DATA_FOLDER>/init-data.sh, thenchmod +xitthe matching
.env.*.example→<DATA_FOLDER>/.env
External task runners (Python): add the runner env vars and the
task-runnerssidecar to the compose now (TASK_RUNNERS.mdhas the snippet for each mode). GenerateN8N_RUNNERS_AUTH_TOKENin step 4 with the other secrets.
4. Fill .env + generate secrets
Set
DATA_FOLDER,DOMAIN_NAME,SUBDOMAIN,SSL_EMAIL,GENERIC_TIMEZONE.Generate each secret on the box with
openssl(SECURITY.mdhas the commands) and write it into.env, replacing the matchingREPLACE_WITH_…placeholder:N8N_ENCRYPTION_KEY; queue alsoPOSTGRES_PASSWORD+POSTGRES_NON_ROOT_PASSWORD.Before launching, confirm none are left unset:
grep REPLACE_WITH_ .envmust return nothing — a leftover placeholder becomes the literal password and Postgres/n8n fail to connect.chmod 600 .env. Record the encryption key so the user can back it up off-box.
5. Firewall
ufw: allow OpenSSH + 80 + 443, then enable. Do not open 5678/5432/6379.
6. Launch
cd <DATA_FOLDER> && docker compose up -d.Queue mode brings up Redis + Postgres + main + workers (workers via
replicas). To add capacity:docker compose up -d --scale n8n-worker=N.
7. Verify (don't declare success without this)
docker compose ps— every serviceUp/healthy (queue: postgres & redishealthyfirst).n8n itself up (internal):
docker compose exec n8n wget -qO- http://localhost:5678/healthz→{"status":"ok"}. This separates "n8n is running" from "TLS isn't ready yet."Cert issued:
docker compose logs caddy | grep -i 'certificate obtained'. First-boot ACME can take a minute or two; until it finishes, a publichttps://request fails TLS — that means the cert is still pending, not that n8n is down.Public reachability (with retry):
curl -fsS --retry 5 --retry-delay 10 https://<fqdn>/healthz→{"status":"ok"}. (/healthzonly proves the process is reachable;/healthz/readinessadditionally confirms the DB is connected and migrated — use it when debugging a boot loop.)Queue mode — main and workers must agree. Diff their environments:
diff <(docker compose exec -T n8n env | sort) <(docker compose exec -T --index 1 n8n-worker env | sort). Only the public-URL/proxy vars should differ. Anything else means a behavioural setting reached the main but not the workers — and workers are what execute workflows, so it fails at runtime in one node rather than at boot.QUEUE_MODE.mdexplains the rule.External task runners:
docker compose logs n8n | grep 'Registered runner'must show bothlauncher-javascriptandlauncher-python(queue: check every worker). Then smoke-test a Python Code node (TASK_RUNNERS.md→ Verify).Open
https://<fqdn>→ the owner setup screen. Whoever completes that signup form first claims the instance — an exposed un-owned instance is a race, so create the owner account immediately, before sharing the URL. Enable 2FA. (Automated deploys can pre-provision the owner via env vars instead — see the owner row inSECURITY.md.)
8. Hand off
Give the user: the URL, where the project lives, the encryption key to store safely, and the Day-2 basics (update / backup / restore) from
DAY2.md.
What NOT to do
Don't skip the DNS/ports preflight. A wrong A record or a closed cloud firewall is the #1 reason Caddy can't get a cert and n8n looks "broken."
Don't publish 5678/5432/6379 to the host. Caddy reaches n8n over the private network.
Don't reuse another instance's encryption key or
.env. Fresh secrets per box.Don't run queue mode on SQLite. Queue requires Postgres (the template already wires it).
Don't put secrets in
docker-compose.ymlor the Caddyfile..envonly.Don't add a behavioural env var to the main only (queue mode). Modules, DB, queue, binary-data and encryption settings belong in the shared
x-n8n-envanchor so workers get them too; only the public-URL/proxy vars are main-only. SeeQUEUE_MODE.md.Don't use
:latestblindly. PinN8N_IMAGE_TAG; update deliberately (DAY2.md).Don't promise Python Code nodes on the stock image in internal mode. They need the
n8nio/runnerssidecar, on exactly the n8n version, with imports allowlisted in the launcher config. By default evenimport jsonis rejected. SeeTASK_RUNNERS.md.Don't
--scalequeue workers once runners are external. A sidecar serves exactly one worker. Add worker + runner pairs instead (TASK_RUNNERS.md).
Reference files
SINGLE_MODE.md— single-instance specifics, SQLite vs Postgres, when to graduate to queue.QUEUE_MODE.md— queue architecture, workers/concurrency/scaling, shared encryption key, the main-vs-worker env-parity rule, optional backend modules (N8N_ENABLED_MODULES, e.g. Agents), binary data (databasemode — filesystem is unsupported in queue mode; S3/Azure = Enterprise), webhook processors, multi-main licensing.SECURITY.md— generating secrets, the encryption-key rules, the full hardening checklist (telemetry off, env-access block, public API, firewall, secure cookies).CREDENTIAL_OVERWRITES.md— managed OAuth: register one OAuth app instance-wide so users never see a client ID/secret ("Sign in with Google" on self-hosted). The endpoint-vs-env choice, the mandatory endpoint auth token, parent-type inheritance, persistence and worker reload.TASK_RUNNERS.md— task runners in external mode: why Python Code nodes need then8nio/runnerssidecar, the compose snippet for single mode and the one-sidecar-per-worker pattern for queue mode, allowlisting Python/JS modules via/etc/n8n-task-runners.json, the builtin deny list, verification, failure signatures, and upgrading n8n and the runners together.DAY2.md— changing a setting (env var) safely, updating the image, backing up (encryption key + volume + Postgres), and restoring.assets/— the templates:docker-compose.single.yml,docker-compose.queue.yml,Caddyfile,.env.single.example,.env.queue.example,init-data.sh.
Authoritative upstream reference: the official hosting docs live at
https://docs.n8n.io/deploy/host-n8n (restructured mid-2026 from the old /hosting/ paths —
prefer these URLs). The env-var reference index is at
https://docs.n8n.io/deploy/host-n8n/configure-n8n/basic-configuration/use-environment-variables.
When this skill and the live docs disagree, trust the docs and tell the user.
Files
- ATTRIBUTION.mdAdded by AutoGineer889 B
- CREDENTIAL_OVERWRITES.md7.9 KiB
- DAY2.md8.6 KiB
- LICENSELicence file added by AutoGineer1.1 KiB
- QUEUE_MODE.md10.3 KiB
- README.md5.2 KiB
- SECURITY.md8.4 KiB
- SINGLE_MODE.md3.6 KiB
- SKILL.md13.7 KiB
- TASK_RUNNERS.md9.5 KiB
- assets/.env.queue.example1.8 KiB
- assets/.env.single.example1.4 KiB
- assets/Caddyfile1.1 KiB
- assets/docker-compose.queue.yml6.7 KiB
- assets/docker-compose.single.yml3.0 KiB
- assets/init-data.shScript924 B
QUEUE_MODE.md
Queue mode
Executions are pulled off a Redis queue by a pool of worker processes, so work runs in
parallel and scales horizontally. Template: assets/docker-compose.queue.yml.
Architecture
| Service | Role |
|---|---|
caddy | public reverse proxy, HTTPS |
n8n (main) | editor UI, REST API, triggers/timers, receives webhooks and enqueues executions — it does not run them |
n8n-worker | pulls jobs off the queue and executes workflows; scale the replica count for more throughput |
redis | the Bull message queue holding pending executions |
postgres | the shared database (workflows, credentials ciphertext, execution data) — required |
The docs mark SQLite as not recommended for queue mode; this skill treats Postgres as
mandatory — don't deploy queue mode without it. init-data.sh creates the non-root DB user
n8n connects as, separate from the Postgres superuser. Official guide:
https://docs.n8n.io/deploy/host-n8n/configure-n8n/scaling/enable-queue-mode.
The settings that make it queue mode
Set on main and every worker (the x-n8n anchor applies them to both):
EXECUTIONS_MODE=queueQUEUE_BULL_REDIS_HOST=redis,QUEUE_BULL_REDIS_PORT=6379(Redis auth/TLS/cluster vars exist for external Redis;QUEUE_BULL_REDIS_USERNAMEneeds Redis ≥ 6 — full list: https://docs.n8n.io/deploy/host-n8n/configure-n8n/basic-configuration/use-environment-variables/queue-mode)QUEUE_HEALTH_CHECK_ACTIVE=true(workers expose/healthzfor probes — off by default)DB_TYPE=postgresdb+ theDB_POSTGRESDB_*connection varsN8N_ENCRYPTION_KEY— identical everywhere. Workers decrypt credentials to run nodes; a mismatched key means workers can't decrypt and executions fail. The anchor sets it once from.env; never override it per-service.OFFLOAD_MANUAL_EXECUTIONS_TO_WORKERS=true— even "Test workflow" runs go to workers.
The main additionally gets the public-URL vars (N8N_HOST, WEBHOOK_URL,
N8N_EDITOR_BASE_URL, N8N_PROTOCOL=https, N8N_PROXY_HOPS=1, N8N_SECURE_COOKIE=true) —
workers don't serve the UI so they don't need them.
Env parity: the rule for every var you add later
Those public-URL vars are the only legitimate difference between the main and a worker. Everything else is behavioural — which database, which queue, which encryption key, which optional modules, how binary data is stored — and a worker that disagrees with the main about behaviour is a worker that executes your workflows wrongly.
That is why the template declares the common environment once, in the x-n8n-env anchor, and
has the main merge it (<<: *n8n-env) before adding its public-URL vars. Add new behavioural
vars to the anchor, not to the main's own environment: block.
This failure mode is nastier than it sounds, because the main is what you look at. The editor
UI, the REST API and every node's dropdown are served by the main, so a feature enabled only
there looks configured — it's the execution, on a worker, that fails. And with
OFFLOAD_MANUAL_EXECUTIONS_TO_WORKERS=true even a manual "Test workflow" run lands on a
worker, so there is no local sanity check that would catch it.
Check parity whenever you change the environment:
diff <(docker compose exec -T n8n env | sort) \
<(docker compose exec -T --index 1 n8n-worker env | sort)Only the public-URL/proxy vars above (plus per-container noise like HOSTNAME) should differ.
Anything else in that diff is a bug you just introduced.
Optional modules
Some n8n features ship as backend modules that are off unless you list them in
N8N_ENABLED_MODULES (comma-separated). The Agents feature is the current example:
N8N_ENABLED_MODULES=agents. The template carries it commented out in the x-n8n-env anchor —
uncomment it there and it reaches main and workers together.
Enabling a module on the main only produces a characteristic failure: the module's REST routes
answer (so the UI populates), but the workers never registered the module's database entities,
so any node that touches it dies at runtime with a TypeORM error like
EntityMetadataNotFoundError: No metadata for "Agent" was found. If you see an error of that
shape after enabling a feature, check env parity first — it is almost always this.
On Agents specifically, be straight with the user. The docs say "Queue mode isn't supported
for agents yet, and connecting channels (such as Telegram) can fail" and recommend regular mode.
That sentence is broader than what the code actually gates: the leader/multi-main checks apply to
agent schedules and chat channels, while the Message an Agent node just runs the agent inline
in whichever process executes the workflow — so it does work on a worker once the module is
enabled there. Treat that as unsupported territory rather than a supported configuration: it can
break on any upgrade, and the agent knowledge base additionally needs the sandbox vars
(N8N_AGENTS_AI_SANDBOX_*, DAYTONA_*) on the workers too. If the user's main use of n8n is
agents, single/regular mode is the honest recommendation.
Instance-wide OAuth apps (credential overwrites)
If you register a shared OAuth app with CREDENTIALS_OVERWRITE_*, only the main serves the
registration endpoint, but CREDENTIALS_OVERWRITE_PERSISTENCE=true belongs on the workers too:
a save is broadcast over pubsub so running workers reload immediately, yet a worker that
cold-starts without the flag never reads the stored row and silently loses the overwrite.
That is the classic parity failure from the section above — fine in the editor, broken in
execution. See CREDENTIAL_OVERWRITES.md.
Scaling the workers
Each worker runs
worker --concurrency=5(5 simultaneous executions per worker; the flag's upstream default is 10 — the template pins 5 as a safer floor for modest boxes; raise for many light executions, lower for heavy ones).More throughput = more workers. The template sets
deploy.replicas: 2, which Docker Compose v2 honors underdocker compose up(here it is not Swarm-only). To change the count, either editdeploy.replicasand re-rundocker compose up -d, or override at launch withdocker compose up -d --scale n8n-worker=N— a--scalevalue supersedesreplicas(passing both at once just prints a harmless conflict warning).With external task runners (required for Python Code nodes) replicas stop working. Each worker needs its own
n8nio/runnerssidecar pointed at that worker's broker. A single runner service behind then8n-workerDNS name serves one random replica, and Code nodes on the other workers time out. Define explicitn8n-worker-N+task-runners-Npairs and scale by adding pairs. SeeTASK_RUNNERS.md.Rough capacity ≈
replicas × concurrencysimultaneous executions, bounded by CPU/RAM andDB_POSTGRESDB_POOL_SIZE(default 2 per process — raise it if many workers exhaust the pool).Optionally cap load with
N8N_CONCURRENCY_PRODUCTION_LIMIT(default-1= off). Caveats: it counts only production executions (webhook/trigger) — manual, sub-workflow, error, and CLI runs bypass it — and in queue mode a value other than-1supersedes the worker--concurrencyflag. Details: https://docs.n8n.io/deploy/host-n8n/configure-n8n/scaling/control-concurrency.
Binary data: database or external storage — NOT filesystem
Queue mode does not support
filesystembinary mode (the docs are explicit), even with a shared volume — workers wouldn't reliably resolve each other's files. The template setsN8N_DEFAULT_BINARY_DATA_MODE=database: binary data lives in Postgres, visible to main and every worker. Doc: https://docs.n8n.io/deploy/host-n8n/configure-n8n/scaling/handle-binary-data.databasemode makes execution pruning load-bearing — big payloads now grow Postgres, so the template setsEXECUTIONS_DATA_PRUNE=true+ age/count caps explicitly (binary data is pruned as part of execution-data pruning).External storage (S3 / Azure Blob) is Enterprise-licensed — n8n won't even start in
s3mode without a valid license. If licensed:N8N_DEFAULT_BINARY_DATA_MODE=s3+N8N_EXTERNAL_STORAGE_S3_*vars, and an S3 lifecycle policy is mandatory (in s3 mode n8n delegates binary pruning to the bucket instead of doing it itself). Doc: https://docs.n8n.io/deploy/host-n8n/configure-n8n/scaling/use-external-storage.
Optional: dedicated webhook processors
For very webhook-heavy instances you can run n8n webhook processes (same env as a worker) and
route /webhook/* + /webhook-waiting/* to them at the proxy, keeping the main process
responsive. Set N8N_DISABLE_PRODUCTION_MAIN_PROCESS=true on the main so it stays out of the
webhook pool. Most deployments don't need this — add it only when webhook intake is the
bottleneck. Doc: https://docs.n8n.io/deploy/host-n8n/configure-n8n/scaling/enable-queue-mode.
Not in this template: multi-main (HA)
Running multiple main processes with leader election/failover exists but is
Enterprise-only (N8N_MULTI_MAIN_SETUP_ENABLED=true on every main). On the community
edition the main process stays a singleton; scale workers instead. If a user asks for "HA n8n"
without an Enterprise license, that's the honest answer.
Memory
Queue mode wants more RAM than single: a practical floor is ~4 GB, with each worker wanting
~1–2 GB depending on workload — rules of thumb from real deployments; the docs don't publish
sizing tables. For OOM crashes the docs' first advice is to redesign the workflow (batches,
sub-workflows, less Code node), then raise the heap via NODE_OPTIONS=--max-old-space-size:
https://docs.n8n.io/deploy/host-n8n/configure-n8n/scaling/fix-memory-issues. Confirm the box
is sized before deploying.
Verify
docker compose ps # postgres & redis healthy, then n8n (main) + workers Up
docker compose logs caddy | grep -i 'certificate obtained'
curl -fsS --retry 5 --retry-delay 10 https://<fqdn>/healthz
docker compose logs n8n-worker | grep -iE 'ready|listening|jobs' # worker is up + listening
# main and workers must agree on everything except the public-URL vars
diff <(docker compose exec -T n8n env | sort) <(docker compose exec -T --index 1 n8n-worker env | sort)A real test: run a workflow from the editor and confirm a worker logs that it executed it.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs network access, Needs Python, Needs Node.js
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Attribution and licence
- Created by
- Romuald Czlonkowski
- Publisher
- Romuald Czlonkowski (Community)
- Source
- czlonkowski/n8n-skills · skills/n8n-self-hosting · commit e037563
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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