
Langflow
by IBM (DataStax)
Open-source visual low-code builder for AI agents and RAG apps
Open-source visual low-code builder for AI agents and RAG apps
What it can do
Build flows on a visual canvas
SupervisedArrange components (prompts, models, data connectors, tools) on a drag-and-drop canvas to define agent and RAG logic.
sourceDeploy flows as API and MCP servers
SupervisedBuilt-in API and MCP servers turn every flow into a tool that can be integrated into apps built on any framework or stack.
sourceBuild RAG and multi-agent applications
SupervisedSupports major LLMs and vector databases to prototype, build, and deploy RAG and multi-agent applications.
source
Overview
Langflow is an open-source, low-code visual builder for AI agents and RAG applications. It began at Logspace, was acquired by DataStax, and is now under IBM after IBM acquired DataStax; it remains open source with a large GitHub following.
What it does
Developers arrange components (prompts, models, data connectors, tools) on a drag-and-drop canvas to define logic, then deploy each flow with built-in API and MCP servers so it becomes a tool callable from any stack. It supports major LLMs, vector databases, and a growing tool library.
Classification note
Langflow is a building platform, not an end-user agent. The autonomy of any app you create is configured by you, so we list it as supervised-agent conservatively.
Integrations & setup
Self-host the open-source project, or use managed/cloud options. Model-agnostic, with MCP and API servers built in.
Pricing
Self-hosting is free and open source; managed and cloud options are available.
Best for / not for
Best for developers and teams who want to visually prototype and deploy agents and RAG apps and expose them as APIs/MCP tools. Less suited to those wanting a fully managed product or guaranteed autonomous behavior out of the box.
Alternatives
Flowise is the closest visual builder; Dify adds model management; Stack AI targets enterprise no-code; LangChain is the code-first library.
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