Floneum is a graph editor for local LLM workflows, positioned as a versatile tool for handling language tasks. At its core, it lets users build AI workflows driven by large language models through a visual drag-and-drop interface, enabling them to orchestrate language task flows without writing code.
Main capabilities include:
- Visually build AI workflows: construct workflows that use large language models by dragging and dropping nodes to connect them in a graph editing manner.
- Secure plugin extension: use WebAssembly to load plugins in a sandboxed environment, granting plugins only the resources they need rather than giving them full system access.
- Multilingual plugin development: write plugins in any language that can compile to WebAssembly. An easy-to-use wrapper is officially provided for Rust, and C, Java, and Go are also supported.
- 41 built-in plugins.
How to use: build workflows through the drag-and-drop interface; if you need to extend functionality, write plugins in a language that can compile to WASM and load them securely via the sandbox mechanism.
Use cases: suitable for users who want to visually orchestrate LLM language tasks in a local environment, and for developers who need to extend AI workflow capabilities in a secure sandboxed way.
Limitations: official materials do not provide information such as pricing, platform support, or specific system requirements, and none is currently provided.
