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Floneum vs Langflow

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both are free to use
Public API
Langflow has one; not confirmed by us for Floneum
Best fit
Floneum: Rust developers who want a node graph over local models · Langflow: teams prototyping RAG and agent flows visually before coding them
Platforms
Floneum: macOS, Windows, Linux · Langflow: Web, macOS, Windows, Linux
Trust score
About even — Floneum 83, Langflow 83

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactFloneumLangflow
CategoryAI Workflow BuildersLLM Orchestration Frameworks
Pricing modelFreeFree
Public APINot confirmedYes
Trust score83 / 10083 / 100
PlatformsmacOS, Windows, LinuxWeb, macOS, Windows, Linux, API
CompanyFloneumLangflow
Launched2023—
Last verifiedOct 16, 2026Oct 15, 2026

What our research says

Floneum

A rare visual LLM workflow tool that runs on your own machine with no account, and its plugin sandbox was a real design decision rather than a checkbox - third-party nodes get only the capabilities you grant. The catch is that it looks abandoned: the repository has been renamed to Kalosm, the editor's source folder is gone from the main branch, and the only app build is still 0.2.0 from 2023.

Pros

  • 41 built-in nodes cover generation, embeddings, scraping, files and control flow out of the box
  • Plugins run in a WebAssembly sandbox with scoped access instead of full system rights
  • Plugins can be written in any language that compiles to WebAssembly, with Rust wrappers provided
  • Runs entirely offline against local models, so no per-token bill

Cons

  • The GUI app's last release is 0.2.0 from 2023, and its source folder is no longer on the repository's main branch
  • No hosted version, no collaboration and no shared workflow library
  • Binaries live only on GitHub releases, with no installer or auto-update story
  • Documentation assumes you are comfortable in the Rust ecosystem

Langflow

Langflow is the visual layer most teams reach for when a flow needs to be shown to someone who does not write Python, and the escape hatch into real code keeps it from becoming a toy. Deploying a flow as an API or MCP server in one step is the feature that earns it a place in production. The gap is commercial: no published pricing, no named vendor on the site, and support only via a contact form.

Pros

  • MIT-licensed with roughly 154,000 GitHub stars and an active release cadence
  • Any flow deploys as an HTTP API or an MCP server
  • Runs identically self-hosted, in the free cloud, or as a desktop app
  • Components can be edited as Python when the visual layer runs out

Cons

  • No pricing or support tiers published anywhere on the site
  • Desktop download requires a signup form and covers only Mac and Windows
  • The site names no operating company or jurisdiction
  • Visual flows get hard to reason about once they grow past a screen

Which one fits

Choose Floneum if you need

  • Rust developers who want a node graph over local models
  • People who need LLM workflows with no cloud account
  • Anyone writing workflow plugins in a compiled language

Choose Langflow if you need

  • teams prototyping RAG and agent flows visually before coding them
  • self-hosters who want an MIT-licensed orchestration layer
  • exposing a flow to other tools as an MCP server

Floneum vs Langflow: the questions people ask

Does Floneum or Langflow have a free tier?

Both: Floneum is free to use, and Langflow is free to use.

Which has a public API, Floneum or Langflow?

Langflow ships a public API, as of our last verification. A public API for Floneum is not confirmed by us — check its developer docs before you plan an integration.

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