What is Langflow?
Langflow is an open-source (150K+ GitHub stars) low-code platform for building and deploying LLM-powered agents and retrieval-augmented generation (RAG) apps. You assemble a flow visually from prebuilt components - models, vector stores, tools, memory - then drop into Python when you need custom logic.
Every flow can be exposed as a REST API or an MCP server, so it becomes a tool other apps or AI clients can call directly.
Key features
- Visual drag-and-drop flow builder for agents and RAG pipelines
- Python code access to customize any component
- Interactive playground to test flows step by step before deploying
- Multi-agent orchestration with conversation management and retrieval
- One-click deploy as a REST API or an MCP server
- Observability integrations with LangSmith and LangFuse; supports all major LLMs and vector databases
How to get started
- Install Langflow locally (pip/Docker) or sign up for the free cloud account
- Start from a template flow or an empty canvas
- Drag in model, retriever, memory, and tool components and wire them together
- Test the flow live in the playground and adjust prompts or logic
- Deploy as an API endpoint or MCP server for use in your own app
Langflow pricing
Langflow itself is free and open-source under the MIT license, and can be self-hosted on any major cloud for free. A free-tier cloud account is also available for those who don't want to manage hosting; paid cloud tiers exist for teams needing more scale and enterprise features.
| Plan | Price | Best for |
|---|---|---|
| Open Source | $0 (self-hosted) | Developers comfortable running their own infra |
| Cloud (Free) | $0 | Trying Langflow without hosting it yourself |
| Cloud (Team/Enterprise) | See langflow.org | Teams needing managed scale and support |
Our take: One of the more mature open-source options in this space (backed by DataStax); the MCP-server export is the feature worth checking out first if you already use Claude or Cursor.
Prices verified 2026-09. Plans change often — confirm on the official site above before you buy.
Use cases
- Prototyping RAG chatbots over internal documents without writing orchestration code
- Building multi-agent workflows visually before hardening them into production code
- Exposing a custom agent as an MCP tool for Claude, ChatGPT, or other MCP clients
- Teams standardizing how different LLM providers and vector stores get wired together
Langflow vs. alternatives
| Tool | How it compares |
|---|---|
| Langflow | Drag-and-drop visual builder for LLM agents, RAG pipelines, and MCP servers - no boilerplate required. |
| Flowise | Flowise is a similar open-source visual LLM-flow builder with a slightly different component ecosystem. |
| Dify | Dify packages a comparable visual builder together with hosting and app management in one product. |
FAQ
Is Langflow free to use?
Langflow's plans: Free, open-source (MIT), self-hosted or free cloud account; paid cloud tiers for scale. Pricing and free-tier limits change over time, so check the official site above for the latest details.
What is Langflow used for?
Drag-and-drop visual builder for LLM agents, RAG pipelines, and MCP servers - no boilerplate required.
Who is Langflow best for?
Langflow is a good fit for prototyping RAG chatbots over internal documents without writing orchestration code, or building multi-agent workflows visually before hardening them into production code.
What are the alternatives to Langflow?
Commonly compared alternatives include Flowise and Dify, see the comparison above for how they differ.
How much does Langflow cost?
Langflow the software is free and open-source (MIT license) with no usage cap when self-hosted. A free cloud account removes the need to host it yourself; higher-volume or team usage on the managed cloud has paid tiers listed on the official site.
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DLast updated: 2026-09 · Reviewed by AIKetra editors · How we evaluate tools · Embed a Featured badge