Managed FlowiseAI Hosting — production-ready from $15 a month
Drag-and-drop LLM flow builder. Deployed on your own dedicated instance in AWS, Azure, or GCP, kept patched, backed up, and monitored by ManageStacks — standard FlowiseAI, no lock-in.
FlowiseAI is an open-source low-code tool for building LLM flows and AI agents with a drag-and-drop interface — deployed and fully managed by ManageStacks on AWS, Azure, or GCP with persistent storage and monitoring.

100+ LLM & vector store integrations
What does FlowiseAI do, and why do teams deploy it?
FlowiseAI is an open-source low-code tool for building customized LLM orchestration flows and AI agents. Its drag-and-drop interface makes it easy to create chatbots, AI assistants, and document analysis tools without extensive coding.
Flowise supports a wide range of LLMs, embeddings, vector stores, and tools. It enables rapid prototyping and deployment of AI applications with built-in features for conversation memory, document loaders, and API endpoints.
- Drag-and-drop LLM flow builder
- 100+ integrations with LLMs and tools
- Custom chatbot and AI agent creation
- Document loaders and vector store support
- API endpoints for production deployment
- Conversation memory and context management
Drag-and-drop LLM flow builder
What does managed FlowiseAI hosting cost?
Flat per-app pricing, in your chosen AWS, Azure, or GCP region. No per-user pricing — a busy deployment costs the same as a quiet one.
Starter
Staging and internal tools. Dedicated instance, TLS, daily backups, managed upgrades.
Standard
Production workloads. Adds monitoring, staging environment, region choice, priority support.
Business
High-traffic and compliance workloads. Adds a high-availability replica and same-day support.
24×7 SRE retainer
Round-the-clock on-call across every hosted application, for teams that need a pager answered at 3am.
When is self-hosting FlowiseAI the right answer instead?
“Managed hosting is not always the correct call.”
Self-host when a platform team already runs the infrastructure and on-call rotation to operate FlowiseAI at genuinely low marginal cost. Self-host when compliance requires an air-gapped or on-premises deployment that no hosted option can satisfy. And self-host when the deployment depends on heavy customisation with a fast internal build-deploy loop, because an internal release process will beat any managed change process.
For everyone else — teams whose engineers have better things to do than shepherd upgrades — managed hosting is cheaper than the hours it replaces.
Which cloud should FlowiseAI run on — AWS, Azure or GCP?
For most workloads, the choice of cloud matters less than proximity: run FlowiseAI in the same cloud and region as the applications and data it talks to, because every request between them adds a round trip. The underlying compute performs equivalently across AWS, Azure, and GCP.
In practice, an existing cloud footprint decides it. All plans support all three clouds, and moving regions later is a scheduled migration, not a rebuild.
Deepest managed-service catalog, default when there's no existing footprint
Best fit for teams already on Microsoft 365 or Entra ID
Strongest for data/analytics-adjacent workloads
Every plan supports AWS, Azure, and GCP — region choice included.
Common questions about FlowiseAI on ManageStacks
How long does it take to deploy FlowiseAI on ManageStacks?
Under 5 minutes. ManageStacks provisions FlowiseAI with persistent storage, SSL, and monitoring automatically — no Docker setup required.
Can I connect FlowiseAI to multiple LLM providers?
Yes. FlowiseAI supports 100+ integrations including OpenAI, Anthropic, local models, and various vector stores. Configure them through the visual interface.
Does ManageStacks handle FlowiseAI version upgrades?
Yes. We test each release for stability and ensure persistent storage for flows and chat history is preserved during upgrades.
Run FlowiseAI without carrying the pager
Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $15/mo.