Build Flowise AI agents and LLM workflows on a visual canvas. Host on Sealos with persistent storage and optional PostgreSQL and object storage.
Launch in your Sealos workspace.
Start with the resources defined by the Flowise template. Review CPU, memory, persistent storage, and network allocations for every service in Canvas. Capacity needs depend on your data and workload; monitor usage as they grow.
Template configuration and setupUse the application URL or connection details shown in Canvas. Follow the deployment guide for first-time account setup or client configuration, and keep generated credentials available for that step.
Sealos monthly plans include compute, memory, storage, and traffic. Size your plan for all deployed services. Software licenses and external AI or API services may have separate terms and charges. Confirm the applicable plan and optional charges in Cost Center.
Compare Sealos resource plansFor current cloud charges, refer to Sealos plan pricing. Upstream documentation may reference earlier billing models.
Flowise is a visual platform for building AI agents and LLM workflows. This template deploys Flowise 3.1.2 on Sealos with persistent storage, automatic HTTPS, and optional managed PostgreSQL and private S3-compatible object storage.
Flowise provides a drag-and-drop canvas for connecting language models, tools, memory, document loaders, and vector stores. It supports chatflows, agentflows, assistants, API access, and reusable credentials from one web interface.
The default deployment stores application data in SQLite on a 1 GiB persistent volume. PostgreSQL 16.4 can be enabled for a managed database, and Sealos Object Storage can be enabled for uploaded files. Each storage option is selected independently during deployment.
The template includes the Flowise application, a 1 GiB persistent volume, a public HTTPS endpoint, and generated authentication secrets. Optional dependencies are provisioned by Sealos when selected.
Architecture Components:
Deployment Options:
| Parameter | Default | Description |
|---|---|---|
USE_POSTGRESQL | false | Store application data in managed PostgreSQL instead of SQLite. |
USE_S3_STORAGE | false | Store uploaded files in a private Sealos Object Storage bucket. |
The application runs with a 100 millicore CPU limit and a 1 GiB memory limit. The persistent volume keeps account and workflow data across pod restarts.
License Information:
Flowise uses Apache 2.0 for its open-source components, with separately identified enterprise components covered by the upstream commercial license.
The first visit opens the Flowise account setup screen. Enter your name, email address, and a strong password to create the administrator account.
Later visits open the sign-in screen. Use the same email address and password. The account remains available after pod restarts because Flowise data is stored on the persistent volume or in PostgreSQL.
Use the Flowise interface to add model credentials, create chatflows or agentflows, and configure document stores. Credentials are encrypted with generated deployment secrets.
For infrastructure changes, open the deployment Canvas and use the AI dialog or resource cards. Keep the generated authentication secrets stable when updating an existing deployment.
Flowise initializes nodes and database migrations before opening port 3000. Check the StatefulSet logs and wait for Flowise Server is listening at :3000.
Confirm that USE_S3_STORAGE is enabled and the Object Storage bucket is ready. The template injects the bucket endpoint and credentials automatically.
This Sealos template is provided under the repository license. Flowise licensing details are available in the upstream license file.
A shorter path from an app you want to an app you can run. Sealos brings deployment and ongoing operations into one place.
Start with a ready-made template. Review its configuration and launch from the Sealos console.
Run on managed infrastructure with built-in workload scheduling and recovery.
Give your application a public HTTPS endpoint with certificates managed for you.
Keep application data on persistent volumes across container restarts.
Adjust CPU, memory, and replicas from the console as your workload changes.
Sealos provisions the resources defined by your template and brings them together in your workspace.
Container workloads with configurable CPU, memory, and replicas.
An address for your app, with managed TLS certificates.
A database provisioned alongside your app when the template calls for one.
Storage for the files and data your application needs to keep.
Application settings and secrets configured in one place.
Inspect container logs and resource usage from the console.
Resources and their configuration vary by template. Review the deployment form for this app’s exact setup.
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