Deployment options

Every plan level can self-host the agent core. This page goes from lightest to heaviest.

Zero-install (recommended start)

No infrastructure at all — agents run in-process with in-memory adapters, ideal for evaluation and for individual engineers:

claude mcp add data-workers -- npx -y dw-claw

In-memory adapters are suitable for development and evaluation; production deployments should use real infrastructure adapters (below).

From source

git clone https://github.com/DhanushAShetty/data-workers.git
cd data-workers
npm install
./start-agent.sh dw-connectors   # any agent by name

Agents run from source via tsx — no build step. Cross-platform (Windows-safe) equivalents:

node plugin/scripts/install.mjs          # prereq check + install
node plugin/scripts/start-agent.mjs <agent>

Docker

Single image:

docker pull ghcr.io/dhanushashetty/data-workers:latest
docker run -it ghcr.io/dhanushashetty/data-workers:latest

Full stack with real infrastructure via Compose:

docker compose -f docker-compose.yml -f docker/docker-compose.agents.yml --env-file .env up -d

The production profile expects PostgreSQL 16 (with pgvector) and Redis 7, plus one LLM provider key; Neo4j 5, Kafka, and Airflow are optional, enabled when the matching agents need them.

Requirements: Node.js ≥ 20, npm ≥ 10, Docker ≥ 24 (Kubernetes ≥ 1.28 for the manifests below).

Kubernetes

Example manifests — per-agent Deployments plus the shared services — are in the repo’s deployment guide (DEPLOYMENT.md). Sizing guidance: agents are I/O-bound; start small and scale replicas on the agents your team actually uses (usage intelligence will tell you which those are).

Air-gapped (Enterprise)

Fully offline installs are supported and documented in the repo’s air-gap deployment guide (docs/DEPLOYMENT-AIRGAP.md): mirrored registries for npm and OCI images, offline licensing, and local model inference (Ollama/vLLM) so zero external network calls leave the boundary — including model calls. Air-gap installs are set up with our team as part of Enterprise onboarding.

Which one am I supposed to pick?

Situation	Path
Evaluating, or an individual engineer	Zero-install npx
A team rollout	Zero-install per engineer + shared service credentials
You want to modify agents	From source
Production self-hosting with persistence	Docker Compose or Kubernetes
Regulated / offline environment	Air-gapped, with us