What is Langflow?
Design agent and RAG workflows on a canvas, then serve them as an API or MCP server.
Who is Langflow best for?
Langflow is best for Python developers who build AI agents and RAG apps on a visual canvas and then serve them as APIs.
Prototyping agents
The visual editor and the Playground let you wire components together and test a flow before you write any application code.
Serving flows to apps
Every flow can be called through the Langflow API, and Langflow can also run as an MCP server so other agents use your flows as tools.
Teams that customise in Python
Any component can be edited in Python, and you can write custom components and share them with other Langflow users.
Self-hosters
It installs from pip, a Docker image or a desktop app for Mac and Windows, and the Docker Compose example adds a persistent PostgreSQL database.
How much does Langflow cost?
Langflow is free: the MIT-licensed app runs on your own machine or server through the desktop app, Docker or pip, and you pay only for the models and hosting you use.
- Docker image, pip package or source install
- SQLite by default, PostgreSQL through Docker Compose
- Model and hosting costs paid to your own providers
- macOS 13 or later and Windows
- Download after a short contact form
- No Shareable Playground or Voice Mode
Langflow lists no paid plan of its own. Model calls are billed by the providers you connect, such as OpenAI or Anthropic, and hosting by whoever runs your server. Full pricing on github.com. We checked these prices on .
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Is Langflow open source?
Yes. Langflow's code is public under the MIT licence, so you can run it on your own server.
On GitHub
156,578stars
+936 (+0.6%) in the last 30 days
- Last commit
- 13 Nov
- Repository age
- 3 years
- Latest release
- 10 Nov
- Licence
- MIT
- Self-hosted
- Yes
- Repository
- langflow-ai/langflow
What are the best Langflow alternatives?
Langflow is an open source alternative to Dify, Stack AI, Voiceflow and 2 more. Tiledesk does the same job and is open source too.
Build and manage LLM apps and agent workflows.
Build and deploy enterprise-grade AI agents via visual, no-code workflows.
Visual builder for chat and voice agents.
Build, deploy and improve AI agents on your own infrastructure.
Agents designed and deployed without code.
Open-core support agents with visual flows and live handoff.
Questions about Langflow
What is Langflow?
Design agent and RAG workflows on a canvas, then serve them as an API or MCP server.
Who is Langflow for?
Langflow is best for Python developers who build AI agents and RAG apps on a visual canvas and then serve them as APIs.
Is Langflow free?
Yes. Langflow has a free Self-hosted plan: docker image, pip package or source install.
Is Langflow open source?
Yes. Langflow's code is public under the MIT licence, so you can run it on your own server.
What are the best Langflow alternatives?
The closest alternatives on Recaply are Dify, Stack AI, Voiceflow, Context, MindStudio and Tiledesk.
Where can I try Langflow?
On its official website, langflow.org.
Can Langflow run as an MCP server?
Yes. Langflow can expose your flows as an MCP server so other agents can call them as tools, and it can also act as an MCP client that connects to outside MCP servers.







