Ai Automation Workflows v2

ai-workflows-v2: One-click AI automation stack combining n8n-style workflow orchestration with LLM steps. Design intelligent automations that call AI models from a visual canvas.

Deploy from this page: TryDirect provisions the server, starts the services, generates the deployment credentials and wires the 6 containers together. Nothing is shared between deployments and no secrets ship with the stack.

What's included

Service	Port	Description
app	3000 (public on 3001)	flowiseai/flowise:2.1.3
ai-workflows-db	internal	Database
ai-workflows-redis	internal	Cache
ai-workflows-ollama	11434 (public on 11435)	LLM runtime
ai-workflows-n8n	5678 (public on 5679)	n8nio/n8n:1.64.0
ai-workflows-qdrant	6333 (public), 6334 (public)	Vector database

What you configure

• Domain (commonDomain): the hostname the stack is served on

All 7 credentials (passwords and keys) are generated per deployment and stored in your project's secret store.

Requirements

• A cloud account connected to TryDirect (the deploy form provisions

the server) or one of your own servers

• A server that fits 6 containers (4 GB RAM or more recommended)
• A DNS record for the domain you set in the deploy form

Alternative: deploy with the Stacker CLI

Everything above also works from the command line:

git clone https://github.com/trydirect/awesome-selfhosted-stacker.git
cd awesome-selfhosted-stacker/stacker-projects/ai-automation-workflows

# Generate secrets
cp .env.example .env
./scripts/generate-secrets.sh

# Deploy
stacker deploy