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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. Both are free to use. Only Langflow ships a public API.

FloneumLocal drag-and-drop editor for chaining language-model steps, extended by sandboxed WebAssembly pluginsLangflowOpen-source visual builder for LLM agents and RAG flows, deployable as an HTTP API or an MCP server.

Side by side

FactFloneumLangflow
CategoryAI Workflow BuildersLLM Orchestration Frameworks
Pricing modelFreeFree
Public APINoYes
PlatformsmacOS, Windows, LinuxWeb, macOS, Windows, Linux, API
CompanyFloneumLangflow
Launched2023—
Last verifiedSep 6, 2026Sep 6, 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 is a real design decision rather than a checkbox — third-party nodes get only the capabilities you grant. The catch is momentum: the graphical app has not shipped a release since 0.2.0 in 2023 and the team's published work now lands in the Kalosm Rust crates instead.

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 tagged release is 0.2.0 from 2023 while newer releases are Kalosm crates
  • 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

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