Running OpenClaw in Europe: GDPR compliance, data residency and US AI APIs

OpenClaw is fun until you have to explain it to your data-protection officer. This article walks through what it takes to run a personal or team AI assistant on OpenClaw inside the EU and still sleep at night under GDPR. I run the stack for a 40-person SaaS company in Vienna; the notes below are the things I wish someone had given me before our DPO review.

Why GDPR applies even to a “personal” AI assistant

The EU definition of personal data is broad. If your OpenClaw agent ever touches customer names, Slack DMs, or Jira ticket IDs, you are processing personal data. The moment that data leaves your laptop — for example to an LLM API — you have a controller/processor relationship and the GDPR paperwork enters the chat.

If you are an employee running OpenClaw at work, your employer is the controller, you (or IT) are the processor.
If you self-host at home and only process your own data, GDPR technically still applies but you get the household exemption. The second you add a team-wide Slack integration, exemption gone.

Data residency: self-host beats hosted, but only if you configure it right

The cleanest GDPR story is still self-hosting inside the EEA. When you run the OpenClaw daemon on your own hardware (or an EU cloud region), you decide where the data sits, how long it is stored, and who has shell access. ClawCloud's Frankfurt and Stockholm regions are good enough for most auditors, but on rare occasions you need to prove nobody outside the EU can access the box. In that case keep it on-prem or in something like Hetzner.de with EU-only support contracts.

Minimal EU-only docker-compose

Below is the exact snippet we use on an Ubuntu 24.04 VM in Hetzner's NBG1 datacenter:


version: '3.9'
services:
  openclaw:
    image: ghcr.io/openclaw/gateway:3.4.1
    environment:
      - NODE_ENV=production
      - MEMORY_DRIVER=postgres
      - DATABASE_URL=postgres://oc:...@db/openclaw?sslmode=disable
      - LLM_PROVIDER=ollama
      - OLLAMA_BASE_URL=http://ollama:11434
      - DATA_RETENTION_DAYS=30
    volumes:
      - ./agent-config.json:/app/config/agent.json:ro
    networks: [claw]

  db:
    image: postgres:16-alpine
    environment:
      - POSTGRES_PASSWORD=...
    volumes:
      - dbdata:/var/lib/postgresql/data
    networks: [claw]

  ollama:
    image: ollama/ollama:0.1.26
    volumes:
      - ./models:/root/.ollama
    networks: [claw]

networks:
  claw:
volumes:
  dbdata:

LLM runs locally through Ollama so no personal data leaks to a third party. Swap in LLM_PROVIDER=openai and suddenly you have international transfers to the U.S. mainland. That one line decides whether you need SCCs and a transfer impact assessment (TIA).

Using ClawCloud: what the DPA actually says

Not every team wants to babysit containers. ClawCloud has a frankfurter & stockholm option; both run on AWS eu-central-1/eu-north-1 and respect data-in-region. The platform’s Data Processing Agreement (version 1.3, April 2024) makes ClawCloud the processor and you the controller. The interesting clauses:

Sub-processors: AWS (Ireland), Grafana Cloud (Germany), Postmark (US, SCCs on file). There is no fancy AI vendor in the default pipeline.
Data retention: 90 days after account deletion unless you trigger the erasure API. More on that below.
Access controls: Root login disabled, SOC 2 audited. Your DPO will still ask for ISO 27001; that is “in progress”.

If the auditor is happy with SCCs to Postmark, you can sign the DPA inside the dashboard. If not, self-host.

Right to erasure: teaching OpenClaw to forget

OpenClaw ships with a surprisingly decent memory layer, but “delete” used to be an rm -rf party trick until community PR #1897. Since gateway 3.3.0 we get a legit DELETE /agents/<id>/memory endpoint. The call nukes both vector embeddings and the Postgres source rows.


# curl example (replace TOKEN)
curl -X DELETE \
  -H "Authorization: Bearer $TOKEN" \
  https://claw.example.eu/api/agents/42/memory?before=2024-01-01

The optional before param helps implement rolling retention. We wired a daily cron inside the container:


0 3 * * *  oc-admin curl -s -X DELETE \
  -H "Authorization: Bearer $TOKEN" \
  http://localhost:3000/api/agents/42/memory?before=$(date -I -d "90 days ago")

Because nothing says GDPR like automating delete-by-default.

Don’t forget backups

Deleting the primary rows is meaningless if your S3 backups keep them forever. We use aws s3 lifecycle rules:


aws s3api put-bucket-lifecycle-configuration --bucket openclaw-backups-eu \
  --lifecycle-configuration '{
    "Rules": [{
      "ID": "30-day-retention",
      "Prefix": "",
      "Status": "Enabled",
      "Expiration": {"Days": 30}
    }]}
'

Large language model choices and the Schrems II fallout

Every GDPR story sinks or swims on the LLM. Local models: no problem. EU-hosted APIs: manageable. US-based endpoints: complicated but not impossible. Let’s break it down.

Local models (Ollama / llama.cpp)

No international transfer.
No DPA overhead.
You need a GPU – a legit blocker for MacBook Air users.

EU-hosted proprietary models (Aleph Alpha, Mistral Mixtral Large on AWS France)

Processing stays in the EEA.
You still sign a DPA with the vendor. Both give themself “processor” status, fine for most.
Latency from an EU OpenClaw deployment is sub-100 ms, good enough for chat UX.

US-based APIs (OpenAI, Anthropic Claude)

This is where Slack channels start to fill with Linklaters memos. Post-Schrems II, Privacy Shield is dead and SCCs are the fallback. Both OpenAI and Anthropic ship SCCs + TIA templates. We compared them:

Vendor	SCC version	Optional TIA annexes	Data retention
OpenAI	2021/EU standard	CloudFlare logs, service provider list	0-30 days (configurable)
Anthropic	2021/EU standard	Detailed surveillance risk narrative	90 days hard-coded

Is that compliant? The EDPB says SCCs can work if you do a realistic risk assessment. Our DPO signed off because:

Only non-sensitive personal data is sent (customer support text, no medical).
We apply encryption in transit (TLS 1.3) and no data at rest ever lands in US storage.
OpenAI committed to contest FISA §702 requests.

Good enough for our risk appetite, maybe not for a hospital. Know your vertical.

Configuring OpenClaw to use regional endpoints

OpenAI EU West (coming in private beta) will simplify things. Until then, place a reverse proxy in front of the API so at least traffic leaves the EU encrypted and pinned to specific IPs:


# envoy.yaml snippet
clusters:
  - name: openai
    connect_timeout: 5s
    type: LOGICAL_DNS
    dns_lookup_family: V4_ONLY
    lb_policy: ROUND_ROBIN
    load_assignment:
      cluster_name: openai
      endpoints:
        - lb_endpoints:
            - endpoint:
                address:
                  socket_address:
                    address: api.openai.com
                    port_value: 443
transport_socket:
  name: envoy.transport_sockets.tls
  typed_config:
    '@type': type.googleapis.com/envoy.extensions.transport_sockets.tls.v3.UpstreamTlsContext
    sni: api.openai.com
    common_tls_context:
      tls_params:
        tls_maximum_protocol_version: TLSv1_3

Then point the gateway:


LLM_PROVIDER=openai
OPENAI_BASE_URL=https://envoy.localdomain/v1

It’s not bulletproof (the data still ends up in the US) but your network diagram looks better.

DPAs you probably need to sign

Quick checklist for a typical European OpenClaw setup:

ClawCloud – if you use hosted. Available in dashboard. Processor.
Composio – if you connect Gmail/Notion. Self-service DPA, SCCs included.
LLM vendor – OpenAI, Anthropic, or Mistral. Sign their template.
Hosting provider – Hetzner, Scaleway. Usually a sub-processor addendum.

Make sure the hierarchy lines up: you → ClawCloud → AWS, you → LLM, you → Composio, etc. Auditors love a neat RACI matrix.

Audit logging and “accountability” principle

Article 5(2) says you must be able to demonstrate compliance. Raw gateway logs are noisy; enabling audit mode v2 helps:


AUDIT_MODE=sql
AUDIT_DATABASE_URL=postgres://oc_audit:...@db/openclaw_audit

You get an audit_events table with actor_id, subject_type, ip_address, and payload. We ship those into Loki and keep 180 days. Our DPO can now ask, “who asked the assistant about GDPR article numbers on May 3?” and we can answer in two clicks.

PII detection and automatic redaction before it hits the model

One neat experiment: run a simple PII regex filter via a pre-tool in OpenClaw. It’s a poor man’s DLP but catches the obvious stuff:


module.exports = async function redact(ctx) {
  const patterns = [/([\w.%+-]+@[\w.-]+\.[A-Za-z]{2,})/g, /(\+?\d[\d -]{8,}\d)/g];
  let text = ctx.input;
  for (const re of patterns) text = text.replace(re, '[REDACTED]');
  ctx.input = text;
  return ctx.next();
};

Add it as the first middleware in agent.json:


"middlewares": ["./middlewares/redact.js", "@openclaw/middlewares/tokens"]

Now your LLM request logs show anonymised content, reducing the Special Category headache.

Things the community still wants

Encryption at rest on ClawCloud. Right now data volumes are encrypted but database layer keys are managed by AWS KMS. Option for customer-managed keys is open issue #6024.
Selective memory scopes. Per-conversation memory so the assistant forgets after each project. Prototype in PR #2138.
EU-only support staff. A German-language on-call rotation is being discussed but no ETA.

Practical takeaway for European users

OpenClaw can be run in a GDPR-compliant way, but the default “npm install, hook up GPT-4” path is not it. Decide early:

Self-host in the EEA or trust ClawCloud EU regions.
Pick an LLM that matches your risk appetite; local > EU API > US API.
Wire up the new memory erasure endpoint and actually automate it.
Sign the DPAs before the pentesters show up.

If you tick those four boxes you can demo an AI agent to your board without turning the compliance meeting into a hostage situation. If you skip them, don’t be surprised when Legal kills your Slackbot in week two.