Floneum

A visual graph editor for building local LLM workflows with sandboxed plugins

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Screenshot of Floneum, A visual graph editor for building local LLM workflows with sandboxed plugins

What is Floneum?

Floneum is a drag and drop graph editor for building local LLM workflows, with 41 built in nodes and WebAssembly plugins that run in a sandbox with tightly scoped resource access.

Floneum is a graph editor for composing language model workflows on your own machine. Instead of chaining prompts in code, you drag nodes onto a canvas and wire them together, connecting text generation, structured output, embeddings, searches and file operations into a single pipeline. The homepage frames it as a multi tool for language tasks, and the demo shows a question answering flow assembled from connected blocks rather than written scripts. Under the hood the editor is extensible through plugins. Floneum ships with 41 built in nodes grouped by function: embedding and embedding database nodes, text and structured text generation, search, file read and write, Python execution, browser control, RSS reading, string splitting, list handling, arithmetic, comparisons and boolean logic. Because these blocks are ordinary nodes, a workflow can branch, loop over lists and transform data between model calls without leaving the canvas. Plugins run inside a WebAssembly sandbox. Each one receives access only to the specific resources it needs, such as a model, an embeddings service or an embedding database, rather than full system access. That isolation is the main security argument for the design. Developers can write plugins in any language that compiles to WebAssembly, with ergonomic wrappers provided for Rust and support noted for C, Java and Go. The developer documentation covers building a first plugin end to end. The tool suits people who want private, local language model pipelines but prefer a canvas to a codebase: tinkerers assembling retrieval and question answering flows, and developers packaging custom logic as reusable nodes for less technical colleagues. It sits closer to node based automation editors than to chat interfaces or hosted agent builders, and its emphasis on running models locally and restricting plugin permissions separates it from cloud first alternatives. The homepage does not publish pricing, so it is unclear whether commercial editions exist. Expect a learning curve around the graph model and, for plugin authors, around the WebAssembly toolchain.

How do you use Floneum?

  1. 1Read the user guide
    Start with the user documentation to learn the canvas, node types and how connections carry data between them.
  2. 2Install Floneum
    Download the release from the project's GitHub releases page and open the graph editor on your machine.
  3. 3Assemble a first workflow
    Drag nodes such as Generate Text and Embedding onto the canvas and connect them into a simple question answering flow like the demo.
  4. 4Add logic and side effects
    Extend the graph with nodes for If Statement, Split, Search or Write To File so the pipeline can branch and persist results.
  5. 5Build a custom plugin
    Follow the developer guide to create a WebAssembly plugin, choosing Rust or another supported language, and declare the resources it may access.

Pros and cons

Pros

  • Visual graph editor makes multi step language pipelines readable at a glanceAI
  • 41 built in nodes cover text generation, embeddings, search, file access, Python and logicAI
  • WASM plugin sandbox grants each plugin only the resources it needsAI
  • Plugins can be written in Rust, C, Java, Go or any language that compiles to WebAssemblyAI
  • Runs models locally, which keeps prompt data off third party serversAI

Cons

  • No pricing information is published, so cost and licensing terms are unclearAI
  • Node graph editors demand a mental model shift for people used to writing prompts in codeAI
  • Custom plugin development requires WebAssembly tooling and is not aimed at casual usersAI
  • No detail on which language models are supported or how they are configuredAI
  • Documentation is split between user and developer guides with no visible support channelAI

How much does Floneum cost?

Integrations

Plugins can reach large language models, embeddings and embedding databases through scoped permissions. The browser and Python nodes plus file and RSS nodes connect workflows to local and web data.

Features

A drag and drop graph editor for LLM workflows, with 41 built in nodes spanning text generation, structured text generation, embeddings, embedding databases, search, RSS reading, browser control, Python execution, file read and write, string splitting, list operations, arithmetic, comparisons and boolean logic. Plugins extend the node set and run in a WebAssembly sandbox with scoped resource access.

Frequently asked questions about Floneum

  • How do you use Floneum?
    The walkthrough on this page covers 5 steps: 1. Read the user guide 2. Install Floneum 3. Assemble a first workflow 4. Add logic and side effects 5. Build a custom plugin.
  • What platforms does Floneum support?
    Floneum is available on MacOS, Windows and Linux.
  • What does Floneum integrate with?
    Plugins can reach large language models, embeddings and embedding databases through scoped permissions. The browser and Python nodes plus file and RSS nodes connect workflows to local and web data.
  • What are the limitations of Floneum?
    No pricing information is published, so cost and licensing terms are unclear. Node graph editors demand a mental model shift for people used to writing prompts in code. Custom plugin development requires WebAssembly tooling and is not aimed at casual users.

Status

StatusActive
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Added10/21/2026

Platforms

MacOSWindowsLinux

Pricing

Free