Managed Langflow hosting
Langflow is the visual, Python-native framework for building multi-agent and RAG applications. Connect 100+ components on a canvas, customize any node with Python, and deploy production flows — all without managing infrastructure.
Backed by DataStax, open-source, and now available as fully managed hosting on HostAgentes from $9.99/mo.
What is Langflow?
Langflow is an open-source, Python-native framework for building multi-agent and retrieval-augmented generation (RAG) applications through a visual node canvas. Originally forked from React Flow-style graph editors and now backed by DataStax, Langflow lets developers drag LLM nodes, memory stores, vector retrievers, and custom Python components onto a canvas and connect them into working pipelines — no boilerplate wiring required. Every node on the canvas is a Python class, so the jump from visual prototype to customized production code is a single step.
HostAgentes managed Langflow hosting deploys your Langflow instance on dedicated infrastructure with automatic SSL, daily backups, and zero-downtime updates. Plans start at $9.99/mo (Basic, 1 vCPU) and scale to $29.99/mo (Pro, 2 vCPU, integrated vector store) and $79.99/mo (Scale, 4 vCPU, enterprise SLA). Unlike DataStax Langflow Cloud, HostAgentes does not require AstraDB — choose any vector store supported by Langflow.
Deployment takes under 5 minutes. No Docker, no pip install, no managing Python virtual environments or LangChain dependency conflicts.
Popular Langflow projects on HostAgentes
What teams are actually building with Langflow's visual multi-agent canvas.
Multi-agent research workflow
A supervisor agent dispatches sub-agents for web search, summarization, and fact-checking. Results are merged and returned as a structured report. Useful for competitive intelligence and market research.
SQL + Python data analysis agent
Natural-language questions translated into SQL queries, executed against a Postgres database, and then processed by a Python node for charting or anomaly detection before the answer is returned.
Document processing pipeline with OCR and entity extraction
PDFs or scanned images ingested via a document loader, text extracted and chunked, then passed through an entity-extraction prompt to pull out names, dates, and amounts for downstream use.
Code generation agent with tool use
An agent that writes code, runs it in a sandboxed Python node, observes the output, and iterates until tests pass — all within a single Langflow flow, without leaving the canvas.
Customer support routing to specialist agents
Incoming messages classified by a routing agent and forwarded to product, billing, or technical specialist agents, each with their own system prompt, memory, and knowledge base.
Voice-to-insights pipeline
Audio transcribed via a Whisper node, transcript split into semantic chunks, embedded into a vector store, and queried by a QA agent to surface key decisions or action items from meetings.
Simple, transparent pricing
No run limits. No AstraDB dependency. Pay for compute, not for executions.
Basic
For experimenting with Langflow and building your first visual multi-agent flows.
- 1 vCPU, 2 GB RAM
- 20 GB storage
- Unlimited flows
- Unlimited runs
- 100+ built-in components
- SSL and automatic backups
- Community support
Pro
For teams building production multi-agent and RAG apps with Python customization.
- Everything in Basic
- 2 vCPU, 4 GB RAM
- 50 GB storage
- Team management + roles
- Integrated vector store
- Email support
- Automatic updates
Scale
For organizations running multiple high-traffic Langflow projects in production.
- Everything in Pro
- 4 vCPU, 8 GB RAM
- 100 GB storage
- Multiple workspaces
- Enterprise SSO
- Priority support
- Uptime SLA
7-day money-back guarantee. Cancel at any time.
The price you see is the price you pay. No renewal surprises, no hidden fees.
Built for the Python-native builder
Visual speed with code-level control. No compromises.
Visual flow canvas with Python node editing
Drag components onto the canvas and connect them visually. Every node exposes a Python code editor — swap out the default logic, add pre/post-processing, or wire in any library from PyPI.
Multi-agent orchestration primitives
Build systems where agents call other agents, share tool outputs, and hand off work across session boundaries. Langflow's agent node handles routing, memory, and tool selection natively.
100+ built-in components
LLMs (OpenAI, Anthropic, Gemini, Mistral, Ollama), memory stores, web search, document loaders, retrievers, code execution, and more — ready to wire together without writing boilerplate.
Astra DB vector store + any alternative
DataStax Astra DB is natively integrated for vector storage and RAG retrieval. Prefer Pinecone, Weaviate, Chroma, or FAISS? Those work too — HostAgentes does not lock you into any specific provider.
Custom Python escape hatch
When 100+ built-in components are not enough, write a Custom Component in pure Python. Define inputs, outputs, and logic — Langflow renders it as a first-class node on your canvas.
Fully managed infrastructure
Automatic SSL, daily backups, zero-downtime version updates, and a persistent database for flow storage. No Docker, no pip, no virtual environments to manage on your side.
Custom Python components in Langflow
When the 100+ built-in components do not cover your use case, write a CustomComponent in Python. Define typed inputs and outputs, and Langflow renders it as a native node on your canvas. The example below creates a web scraper node that fetches a URL and returns a LangChain Document — ready to connect to any retriever or embedding node.
from langflow.custom import CustomComponent
from langchain.schema import Document
from typing import Optional
import httpx
class WebScraperComponent(CustomComponent):
display_name = "Web Scraper"
description = "Fetches a URL and returns its text content as a Document."
def build_config(self):
return {
"url": {"display_name": "URL", "info": "Target URL to scrape"},
"timeout": {"display_name": "Timeout (s)", "value": 10},
}
def build(self, url: str, timeout: int = 10) -> Document:
response = httpx.get(url, timeout=timeout, follow_redirects=True)
response.raise_for_status()
return Document(page_content=response.text, metadata={"source": url}) Once saved, this component appears on the Langflow canvas under "Custom Components" and accepts connections like any built-in node. No restart required.
From sign-up to first flow in 5 minutes
Choose your plan
Basic at $9.99/mo is enough to experiment with multi-agent flows and RAG. Upgrade to Pro when you need an integrated vector store and team management.
Your instance deploys automatically
Langflow, its Python runtime, a persistent database for flow storage, and SSL are all configured without any action on your part. No Docker, no pip install, no virtual environments.
Open the canvas and build
Drag an Agent node, connect a web search tool, add a memory store, and wire in your LLM of choice. Hit Run. Iterate visually, drop into Python when you need more control.
The managed Langflow host that gets out of your way
Your flows are the product. The infrastructure should be invisible.
No AstraDB lock-in
DataStax Langflow Cloud nudges you toward AstraDB as the vector store. With HostAgentes, every Langflow-supported vector store is a first-class option — Pinecone, Weaviate, Chroma, FAISS, Qdrant, or our integrated store.
Flat pricing — not per-run fees
Other managed platforms charge per flow execution or per LLM call routed through their proxy. HostAgentes charges for dedicated compute. Run as many flows as your instance can handle.
Persistent flow storage
Flows, component configurations, and run history are stored in a managed database. Nothing is lost on restart. Export your flows as JSON at any time.
Paperclip integration
Langflow flows are callable as REST APIs. Wire them as tool actions inside Paperclip's multi-agent orchestration layer for higher-level goal planning across specialized Langflow sub-agents.
Frequently asked questions
How is Langflow different from Flowise or Dify?
Can I write custom Python components in Langflow?
Does Langflow work with Paperclip for orchestration?
What vector stores are supported?
Can I export a Langflow flow as standalone Python?
Build your first multi-agent flow with Langflow
Visual canvas, Python-level control, and managed infrastructure. Your instance is live in under 5 minutes from $9.99/mo.