Siennabase
Siennabase is a comprehensive multi-tenant Docker stack designed for technical AI agencies building AI agents with n8n. It bundles together n8n, PostgreSQL with schema-per-tenant isolation, Qdrant vector database, Caddy for automatic HTTPS, and Grafana monitoring. A command-line interface (CLI) allows provisioning of a new client in minutes with a single command, creating dedicated Postgres schemas, n8n containers, and subdomains. It includes a white-label client dashboard so end users can monitor their workflows under your brand, plus three pre-built n8n workflows for common use cases like RAG chatbots, lead capture, and document processing. The solution is delivered as a private GitHub repository with a commercial license, enabling agencies to reclaim the time typically lost on repetitive infrastructure setup.
- Category
- Analytics
- Pricing
- Paid
Problem solved
AI agencies waste days setting up the same infrastructure—n8n, databases, SSL, monitoring, and client dashboards—for each new client. Siennabase automates this with a one-command provisioning system, reducing deployment time from three days to thirty minutes and preventing margin erosion from repetitive DevOps work.
Use cases
- Onboarding a new client for AI agent development in under 30 minutes
- Providing each client with isolated n8n environments and databases
- Offering a white-labeled dashboard for clients to view their automation workflows
- Quickly deploying standard AI workflows like RAG chatbots and lead qualification
- Managing backup and restore operations for individual client instances
- Monitoring multiple client deployments via integrated Grafana dashboards
Audience
- Developers
- ML Engineers
- Startups
Pros
- Drastically reduces client onboarding time from days to minutes
- One-time purchase with no recurring fees (optional annual update subscription)
- Multi-tenant architecture ensures data isolation per client
- White-label dashboard enhances professional branding for clients
- Includes ready-to-use AI workflows to accelerate initial deliveries
Cons
- Requires intermediate Docker and CLI knowledge; not suitable for non-technical users
- Limited to n8n-centric stacks; not flexible for other automation platforms
- Deployment limited to VPS environments (Hetzner, DigitalOcean, etc.); no cloud-managed option
- Not open source; code access restricted to private repository
- Updates included only for first 12 months; thereafter requires paid subscription
Official website: https://www.siennabase.dev/
Canonical LambdaBase page: https://www.lambdabase.com/tools/siennabase