Langflow
An open-source, low-code canvas for building AI agents and RAG apps - drag, connect and test flows, then export or deploy. Free to self-host, with a free cloud tier and paid plans from about $25/month. Backed by DataStax (now joining IBM), committed to keeping it open and model-agnostic.
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Our take
Langflow is an open-source, low-code canvas for building AI agents and RAG apps - drag, connect, test, then export or deploy. Free to self-host, with a free cloud tier and paid plans from about $25/month. Backed by DataStax (now joining IBM), committed to keeping it open and model-agnostic. It overlaps with Dify and Flowise; the visual builder is the draw.
Best for
Developers and technical builders who prefer a visual, drag-and-drop way to prototype agents and RAG pipelines, then drop into Python when they need to.
Pros
- Visual drag-and-drop builder makes agent and RAG prototyping fast
- Open-source and free to self-host; free cloud tier to start
- Python-extensible, so you can customise components beyond the canvas
- Backed by DataStax/IBM with a public commitment to stay open and model-agnostic
Cons
- Overlaps heavily with Dify and Flowise - evaluate which fits your stack
- Self-hosted total cost rises once you add LLM and infra spend
- Complex production flows still need real engineering
How it compares
Langflow and Dify both build agents and RAG apps openly; Langflow leans into a visual, Python-extensible canvas and DataStax/IBM backing, while Dify ships more LLMOps and observability out of the box.
Full review
Langflow is a low-code canvas for wiring up AI agents and retrieval apps: you drag components onto a board, connect them, test the flow live, and then export or deploy it. It is aimed at people who want to see the pipeline rather than write all of it by hand, but it stays Python-extensible for when the visual blocks run out.
It is open-source and free to self-host, with a free cloud tier and paid cloud plans from roughly $25/month; realistic self-hosted costs depend mostly on your LLM and infrastructure choices. It is maintained by DataStax, which is being acquired by IBM, and both have said Langflow will stay open, free and model-agnostic. The honest caveat is overlap - Dify and Flowise solve a similar problem, so the choice comes down to which fits your team's workflow.
Cloudkart Trust Graph
4.0/5- Actual Utility4/5
Source: Initial LLM-authored rubric (backfill)
- Ease of Use4/5
Source: Initial LLM-authored rubric (backfill)
- Pricing Fairness5/5
Source: Initial LLM-authored rubric (backfill)
- Reliability4/5
Source: Initial LLM-authored rubric (backfill)
- Differentiation3/5
Source: Initial LLM-authored rubric (backfill)
Scored as of . Each score is versioned and auditable; vendors cannot buy it.
How this score is set
- Editorial rubric
- Primary signal — five dimensions, 4.0/5 average.
- Community reviews
- None yet.
- Pricing verified
- Not yet verified
- Independence
- Score set by our editorial team before any affiliate relationship is considered. No vendor can buy it.
Frequently asked questions
- Is Langflow free, and how much does it cost?
- Langflow is open source and free to self-host.
- Who is Langflow best for?
- Developers and technical builders who prefer a visual, drag-and-drop way to prototype agents and RAG pipelines, then drop into Python when they need to.
- How is Langflow rated on Cloudkart.ai?
- Langflow scores 4.0 out of 5 on the Cloudkart.ai rubric, which weighs actual utility, ease of use, pricing fairness, reliability and differentiation. Scores are set editorially and can never be bought.
Community reviews
No community reviews yet. Be the first to share how Langflow works for you.
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