Langflow
Open-source drag-and-drop builder for RAG and agent apps
Overview
Langflow is a free, MIT-licensed visual canvas for assembling LLM chains, RAG pipelines and agents, then exporting them as APIs. Now part of IBM via its DataStax acquisition, with the OSS core staying free.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
What you can produce with Langflow
- Drag-and-drop visual flow builder
- Pre-built RAG and agent components
- One-click export of flows as callable APIs
- Self-hostable, MIT-licensed, free
- 150,000+ GitHub stars, active release cadence
- Backed by IBM (via DataStax acquisition) for long-term maintenance
ASEAN Perspective
Langflow in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Langflow lets you wire up an LLM chain, a RAG pipeline or a multi-tool agent by dragging nodes on a canvas instead of writing LangChain boilerplate, and it exports the result as a callable API when you're done. That combination — visual, fast to prototype in, but still backed by a real framework underneath — is why it's one of the most-starred open-source AI projects going. It's a genuine fit for product teams and solo builders who want to see a flow before committing code to it.
The caveats are the usual ones for visual programming: canvases get messy once a flow has more than a handful of branches, and teams that outgrow the prototype stage usually end up re-implementing the serious parts in code anyway. DataStax's own hosted Langflow Cloud was shut down in April 2026 as IBM completed its acquisition of DataStax, so if you want managed hosting today you're either self-hosting or waiting on whatever IBM ships under watsonx. The open-source core itself remains free and MIT-licensed, with IBM committing to keep it that way.
What people say
Langflow's GitHub numbers do a lot of the talking: the repository has passed 150,000 stars, putting it among the most-followed open-source AI projects on the platform, with active releases (v1.10.2 shipped July 2026) and thousands of open issues and PRs — a sign of a genuinely large, if noisy, contributor base rather than an abandoned showcase project.
Review aggregators tell a consistent story about who it's for. Capterra and SoftwareSuggest listings skew toward praise for how quickly a non-specialist can get a working RAG demo running, and Automation Atlas's 2026 review lands around 7.2/10, citing the visual builder's low barrier to entry as the main draw and canvas complexity on larger flows as the recurring knock. Several review sites note the same thing independently: it's excellent for prototyping and internal tools, and teams doing serious production work tend to graduate out of the canvas into hand-written code, using Langflow's exported flow as a starting reference rather than the final deployment artifact.
The DataStax-to-IBM transition generated its own round of coverage in 2026. IBM's announcement (originally February 2025, closing through 2026) framed Langflow as deepening its watsonx.ai generative AI studio, and Langflow's own blog post framed the deal as good news for continuity — IBM committing to keep the project "forever open, free, and agnostic." That said, the DataStax-hosted Langflow Cloud offering itself was deprecated on 9 March 2026 and fully shut down a month later on 9 April 2026, which forced existing hosted-tier customers to migrate to self-hosting or wait for whatever IBM's version of managed Langflow becomes. Pricing-comparison sites (Miniloop, Lindy) that tried to price out "real" Langflow costs all land in the same place: the software itself is free, but realistic total cost runs from roughly $30–100/month for a hobbyist self-host up to several thousand a month once you add LLM API spend, a vector database and monitoring for a production deployment. No official public pricing page exists for any commercial tier as of this writing.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Langflow's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Langflow unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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