Langflow hosting

A visual builder for LangChain flows and multi-agent systems.

Agents & RAGMITfrom $11.99/mo

In short

Langflow hosting at AIHostBox means a dedicated, single-tenant Langflow instance on our infrastructure: we install it, pin it to a reviewed release, put it behind TLS on your domain, back it up nightly and keep it patched. Plans start at $11.99 per month and the admin account, the data and any API keys are yours.

LangChain componentsPlaygroundAPI exportMulti-agent

Langflow is an MIT-licensed visual builder for AI flows, developed in the open by the langflow-ai team. It grew out of LangChain, and its canvas still maps closely to that way of thinking: models, prompts, retrievers, vector stores and tools are components you wire together, and each one opens up as editable Python when the defaults are not enough. A built-in playground lets you chat with a flow while you build it, and the same flow is then callable as an API without extra code.

What sets it apart from neighbours such as Flowise is how many ways a finished flow can leave the canvas: a REST run endpoint, an OpenAI Responses-compatible endpoint, a webhook trigger, or an MCP server that exposes your flows as tools to Claude, Cursor and other MCP clients. All of those need an address that stays up when your laptop sleeps, which is the practical reason to run Langflow on a server with a proper database behind it.

Langflow hosting plans

PlusRecommended minimum

4 GB RAM · 2 vCPU · NVMe

$11.99/mo

Order

ProTeams & heavier load

8 GB RAM · 3 vCPU · NVMe

$18.99/mo

Order

Every plan is a dedicated single-tenant instance with NVMe storage, nightly off-box backups, TLS and managed patching. Quarterly, semi-annual and annual terms are discounted at checkout. Model tokens are not included — you bring your own key.

How we run Langflow

We run the official langflowai/langflow container on port 7860 with PostgreSQL 16 as its database, following the project’s docker-compose example, and keep the Langflow config directory on persistent storage.

What we configure for you

LANGFLOW_DATABASE_URL pointed at the bundled PostgreSQL instead of the default SQLite file
LANGFLOW_AUTO_LOGIN=False with LANGFLOW_SUPERUSER and LANGFLOW_SUPERUSER_PASSWORD set
A unique LANGFLOW_SECRET_KEY, which encrypts stored credentials
LANGFLOW_NEW_USER_IS_ACTIVE off, so new sign-ups wait for approval
LANGFLOW_CONFIG_DIR on a persistent volume for uploads, logs and keys
TLS on your domain so the API and MCP endpoints are reachable from outside

Which plan fits

Plus (4 GB) suits one or two builders working on flows that call hosted model APIs. Pro (8 GB) is the better fit for a team, for flows that parse larger documents, or for flows being called often through the API or MCP.

The honest limits

Langflow orchestrates; it does not make models faster, so a flow calling a CPU-hosted model will be as slow as that model. Components that run heavy local work, such as embedding models or document parsers inside the flow, use the instance’s own CPU and RAM.

What people run Langflow for

Prototype in LangChain

Assemble a chain visually and export it as an endpoint.

Teach the stack

Show colleagues how retrieval and tool calls fit together.

Flows as MCP tools

Publish a retrieval or agent flow as an MCP tool that desktop assistants and IDEs can call.

Webhook-driven agents

Trigger a flow from a form, CRM or ticket system and let it act on the payload.

Licence and version policy

Item	Position
Upstream licence	MIT
Sold as managed hosting	Yes
Tenancy	Single tenant — one customer per instance
Patching	Critical advisories within 24 hours, high severity within 72

Our full position on licences, including the applications we decline to sell, is on the licensing page.

Reading on Langflow

ComparisonDify vs Flowise vs Langflow

Works well with Langflow

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Questions

Langflow hosting: your questions

Which models and vector stores does Langflow support?

Components ship for the major model providers, including OpenAI, Anthropic, Google and Mistral, plus Ollama for self-hosted models. Vector store bundles include Qdrant, Weaviate, Chroma, pgvector and more. You bring your own keys; they are stored as global variables in Langflow rather than typed into each flow.

How do other applications call my flows?

Every flow gets a run endpoint at /api/v1/run/, authenticated with a Langflow API key in the x-api-key header. Langflow also offers an OpenAI Responses-compatible endpoint, webhook triggers, and an MCP server per project that uses streamable HTTP, so MCP clients can call selected flows as tools.

Can I move flows from my local Langflow?

Yes. Export a flow or a whole project as JSON from your local install and import it on the hosted instance, in the UI or through the import API. If your keys live in global variables, only their names travel with the flow, so you create global variables with the same names once on the new instance and the flows run unchanged.

Where is my data stored and how is it backed up?

Out of the box Langflow uses a SQLite file, which is fine on a laptop but a poor fit for a shared server. We point LANGFLOW_DATABASE_URL at PostgreSQL instead, and keep LANGFLOW_CONFIG_DIR, which holds uploaded files and secret keys, on a persistent volume. Both are in the nightly off-box backup.

Can we use single sign-on?

Langflow has its own username and password logins managed by a superuser. For SSO, recent versions support external authentication: set LANGFLOW_EXTERNAL_AUTH_ENABLED and Langflow validates tokens from an OIDC provider or SSO gateway such as Keycloak, creating local users automatically. We can set that up if you already run an identity provider.

Run Langflow without running a server

A dedicated Langflow instance, deployed and maintained by us. Month to month, cancel whenever.

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