Note

Transforming Daisy into a more AI-centric workflow. A new release is currently in progress.

Daisy AI Orchestrator is an AI orchestration platform built around a visual editor and a typed DSL. The runtime executes directed acyclic graphs (DAGs) of plugin actions, supports parallel execution with retries and batch fan-out, evaluates FEEL expressions in user-supplied placeholders, and protects credentials with KMS envelope encryption. The platform exposes both in-process and HTTP-transport plugins, supports OIDC authentication, and emits audit, observability, and rate-limit signals suitable for production deployments.

See the Wiki for full documentation.

Architecture

Quick start (Docker)

The fastest way to try Daisy is to pull the pre-built images from Docker Hub and bring the whole stack up with one command.

Prerequisites

• Docker 24+ and Docker Compose v2 (bundled with Docker Desktop).
• Roughly 1 GB of free RAM for Postgres + Redis + backend + frontend.
• Ports 5173, 3000, 5432, and 6379 free on the host.

1. Bring up the stack

Clone the repo (you only need the compose files — the rest comes from Docker Hub):

git clone https://github.com/vivekg13186/Daisy-workflow.git
cd Daisy-workflow

Pull and start everything:

BACKEND_IMAGE=vivek13186/daisy-workflow-backend:latest \
FRONTEND_IMAGE=vivek13186/daisy-workflow-frontend:latest \
  docker compose --profile full up -d

Compose brings up four containers:

Service	Image	Host port
dag_postgres	postgres:16-alpine	5432
dag_redis	redis:7-alpine	6379
dag_backend	vivek13186/daisy-workflow-backend:latest	3000
dag_frontend	vivek13186/daisy-workflow-frontend:latest	5173

The backend waits for Postgres + Redis to report healthy before starting. First boot takes ~20 seconds.

For the dev images (watch mode, debugger port exposed, looser logging) swap the tag:

BACKEND_IMAGE=vivek13186/daisy-workflow-backend:dev \
FRONTEND_IMAGE=vivek13186/daisy-workflow-frontend:dev \
  docker compose --profile full up -d

If you omit the BACKEND_IMAGE / FRONTEND_IMAGE env vars, compose builds the images locally from the Dockerfiles in ./backend and ./frontend.

2. Apply database migrations

The schema lives in backend/migrations/. Run it once against the freshly-started Postgres:

docker compose exec backend npm run migrate

Migrations are idempotent; rerun any time after git pull to pick up new schema.

3. Create the first admin user

docker compose exec backend npm run create-admin

The CLI prompts for email + password and creates the user in the default workspace. Rerun to add more admins.

4. Open the UI

Point a browser at:

http://localhost:5173

Sign in with the credentials you just created. You'll land on the Home page with sidebar entries for Workflows, Triggers, Agents, Configurations, Instances, and Plugins.

The backend API and WebSocket channel live at:

http://localhost:3000 — REST + /ws for live execution updates.

5. Try a sample workflow

The repo ships sample flows under backend/samples/. Import one to make sure the engine is wired correctly:

1. UI → + New flow → toolbar Import (upload icon) → pick backend/samples/hello-world.json.
2. Click Save, then Run (▶).
3. The execution opens in the read-only Instance Viewer with the graph coloured by per-node status. You should see every node land on success within a second.

Optional features

Feature	How to enable
AI assistant + agents	Set ANTHROPIC_API_KEY or OPENAI_API_KEY in .env before up -d. The Prompt tab, agent plugin, Diagnose this failure, and the Plugin generator all become available.
External plugin containers	docker compose -f docker-compose.yml -f docker-compose.plugins.yml --profile full up -d.
TLS edge (nginx / Caddy)	docker compose -f docker-compose.yml -f docker-compose.tls.yml --profile full up -d. See TLS edge.
Scheduled backups	docker compose -f docker-compose.yml -f docker-compose.backup.yml --profile full up -d.
Observability (Grafana + Tempo)	docker compose -f observability/docker-compose.yml up -d.

Day-to-day commands

# Status
docker compose ps

# Tail logs (Ctrl+C to stop tailing)
docker compose logs -f backend frontend

# Restart after a config change
docker compose restart backend

# Pull newer images and recreate
docker compose pull
BACKEND_IMAGE=vivek13186/daisy-workflow-backend:latest \
FRONTEND_IMAGE=vivek13186/daisy-workflow-frontend:latest \
  docker compose --profile full up -d

# Shut everything down (volumes preserved)
docker compose down

# Wipe Postgres volume (start over from scratch)
docker compose down -v

Troubleshooting

• http://localhost:5173 shows a blank page — frontend container is still starting. Check docker compose logs frontend. The nginx healthcheck takes ~5 s after first boot.
• 401 from /api/... — you're not signed in. Visit /login directly or hard-refresh.
• AI button is hidden — neither ANTHROPIC_API_KEY nor OPENAI_API_KEY is set. Visit http://localhost:3000/ai/status to see what the backend received.
• npm run migrate fails with ECONNREFUSED — Postgres isn't healthy yet. Wait a few seconds and retry.
• Want to inspect the DB? docker compose exec postgres psql -U dag -d dag_engine.

For a local-dev setup (no containers, npm run dev against host Postgres) see Getting started on the wiki.

Screenshots

Home page

Flow designer