Langflow
Low-code AI builder for agentic and RAG applications·langflow.org
Langflow is an open-source, Python-based, low-code platform for building agentic and retrieval-augmented generation (RAG) AI applications. It provides a visual drag-and-drop editor to connect and configure components into functional flows, supporting major LLMs, vector databases, and a growing library of AI tools. Flows can be tested in a Playground, run via an API, or deployed to production, either self-hosted or on a cloud platform.
What it's for
Features 15
- Agent orchestration (single or fleet of agents as tools)
- Cross-platform desktop application
- Deploy as a containerized application
- Enterprise-grade cloud deployment option
- Flow as an API
- Hundreds of pre-built flows and components
- Langflow API to embed flows into applications
- MCP (Model Context Protocol) server support
- Playground for real-time flow testing
- Pre-built templates and components
- Python customization of components
- Reusable, composable components
- Run individual components in isolation
- Support for major LLMs and vector databases
- Visual drag-and-drop flow builder
At a glance
Integrations
Resources
Pricing
Only a free open-source offer is available; the site also mentions a 'free, enterprise-grade cloud' option with no separate pricing details given.
From structured markup Offer; a free enterprise-grade cloud option is also mentioned on the homepage but no separate price is stated.