Langflow
Low code builder for agentic and RAG apps with visual nodes deployments and MCP servers that is open source and easy to self host for teams.
Overview
Langflow provides a visual canvas for composing LLM applications with nodes for models prompts retrievers tools and control flow. Engineers and analysts drag connections to build agents or RAG pipelines then test inputs and outputs live with reproducible runs. The project is open source so you can self host and connect your own API keys which keeps data flow transparent and costs predictable.
Recent versions add support for agent runtimes MCP servers vector stores and popular providers, plus exportable JSON that fits version control. Teams adopt Langflow to align product managers and developers on logic without handoffs while still shipping real code to production. You can deploy flows as APIs or share interactive UIs for internal users, and many hosts offer one click installs with predictable compute prices.
For organizations already on LangChain or custom stacks, Langflow serves as a frontend and does not lock you in, which makes it ideal for quick prototyping and demos that later harden into services.
Key features
- Visual node editor that builds agent and RAG graphs without boilerplate
- Open source core that you can self host with your own keys
- Live testing panel for prompts retrievers and tool calls
- Exports and imports as JSON for version control and reviews
- Deploy as an API or shareable UI for quick stakeholder testing
- Supports major LLMs vector stores and tool libraries
- Environment variables and secrets management for safe configs
- Community templates that speed onboarding for new users
Best for
- Prototype an LLM answer engine with retrieval and feedback
- Design an agent that calls APIs and checks constraints
- Let analysts tweak prompts without touching backend code
- Share an internal UI for reviews and red team sessions
- Export flows to git for code review and change tracking
- Spin up demos for sales or research without devops work
- Host a private instance for compliance and data control
- Teach LLM concepts with a visual interface and examples
Capabilities
Visual canvas
Build graphs from models retrievers and tools so non specialists can follow logic and collaborate effectively.
Live runs
Probe prompts and responses in place then capture runs for reproducibility and team review.
APIs and UIs
Host flows as endpoints or lightweight frontends so stakeholders can experiment safely.
Self hosted
Keep keys configs and data in your environment to meet privacy and cost goals.
Frequently Asked Questions
Is Langflow free to use?
Yes, the core project is open source and free, you pay only for your infra and API usage.
Can I deploy flows as an API?
Yes, deployments expose endpoints or shareable UIs for quick stakeholder access.
Does it lock me to a single LLM provider?
No, it supports many models and vector stores so you can switch as needs evolve.
How do teams collaborate?
Export flows to JSON and store in git for reviews branches and rollbacks.
Is there a hosted option?
Third party hosts provide one click deploys with simple monthly compute pricing.
