Langflow is a low-code visual builder for RAG, agents, and AI applications. Build, test, and share AI workflows through a browser-based interface.
Launch in your Sealos workspace.
Start with the resources defined by the Langflow 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.
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Langflow is a visual low-code builder for RAG, agentic workflows, and AI applications. This template deploys Langflow 1.10.2 as a persistent service on Sealos Cloud, with SQLite by default and optional PostgreSQL.
Langflow provides a browser-based canvas for building AI workflows from reusable components. You can connect language models, tools, vector stores, prompt chains, and agents, then test and iterate flows directly in the web interface.
This Sealos template runs the official langflowai/langflow container, exposes it through a managed HTTPS endpoint, and stores Langflow data on persistent volumes. Auto login is disabled for public deployments, so users sign in with the initial superuser credentials configured during deployment.
When enable_database is turned on, the template provisions PostgreSQL 16 through KubeBlocks and initializes a dedicated langflow database. If it is left off, Langflow uses the built-in SQLite database stored on the persistent data volume.
The Sealos template includes the Langflow application container, persistent storage for /app/data and /app/flows, a managed Ingress endpoint, and optional PostgreSQL.
Architecture Components:
This template deploys the following resources:
enable_database is set to true.Configuration:
admin_username sets the initial Langflow superuser username and is required.admin_password sets the initial superuser password and is required.enable_database switches storage from persistent SQLite to PostgreSQL for larger or production-oriented deployments.LANGFLOW_AUTO_LOGIN is set to false, so the visual editor requires sign-in instead of anonymous superuser access.LANGFLOW_SECRET_KEY is generated per deployment for encryption-sensitive Langflow internals.License Information:
Langflow is released under the MIT License. This Sealos template is provided under the license terms of the templates repository.
Sealos is an AI-assisted Cloud Operating System built on Kubernetes that unifies deployment, networking, storage, and lifecycle operations. By deploying Langflow on Sealos, you get:
admin_username: Required initial superuser username.admin_password: Required initial superuser password used to sign in after deployment.enable_database: Set to true to use PostgreSQL, or keep false to use persistent SQLite.admin_username and admin_password.After deployment, you can manage Langflow through:
For public deployments, keep auto login disabled and use a strong superuser password. Configure provider API keys inside Langflow or through Sealos-managed environment variables when needed.
Langflow is deployed as a single persistent StatefulSet. To scale resources:
The Langflow container uses a 500m CPU limit and a 4Gi memory limit. Validation measured a SQLite cold-start peak of about 1851Mi, steady SQLite usage of 1264-1279Mi, and steady PostgreSQL usage of about 1249Mi. The 4Gi tier preserves cold-start headroom for component loading.
This is expected. Auto login is disabled, so use the admin_username and admin_password configured during deployment.
Langflow loads many Python components during cold start. If you manually reduce memory and the pod is OOMKilled, restore the template memory setting or choose a larger Sealos memory tier.
Confirm that the relevant API key is configured in Langflow and that the provider is reachable from your deployment.
This Sealos template is provided under the templates repository license. Langflow is licensed under the MIT License.
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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