Floneum
Description
🖼️ Tool Name:
Floneum
🔖 Tool Category:
Productivity & Automation — it falls under visual AI workflow automation tools that let users build and run intelligent pipelines locally.
✏️ What does this tool offer?
Floneum is a local-first, open-source automation tool that allows users to create visual AI workflows through a node-based interface. It enables drag-and-drop composition of tasks involving AI models, APIs, file systems, and logic without coding. Designed with safety and modularity in mind, Floneum runs entirely on your machine, with support for plugins built in languages like Rust, Go, C, and Java through WebAssembly (WASM).
⭐ What does the tool actually deliver based on user experience?
• A no-code/low-code visual interface for building complex AI workflows
• Runs entirely on local machines — privacy-focused and offline capable
• Easily connects to OpenAI, local LLMs, file inputs, browser actions, and more
• Modular block system for constructing logic, loops, conditions, and triggers
• Custom plugin system allows for extending capabilities securely via WASM
• Ideal for non-technical users, researchers, or engineers needing safe, repeatable AI pipelines
🤖 Does it include automation?
Yes — Floneum is fully designed around automation:
• Drag-and-drop interface to automate tasks involving LLMs, APIs, files, browsers
• Can run headless tasks continuously or triggered by events
• Supports reusability and chaining of workflows for multi-step AI tasks
• Automatically executes steps with configurable parameters and outputs
💰 Pricing Model:
Open-source (Free)
🆓 Free Plan Details:
• 100% free to use under an open-source license
• Download and run locally — no cloud dependency
• Includes full access to the editor, local execution, and plugin system
💳 Paid Plan Details:
• None — there is no premium or commercial plan as of now
🧭 Access Method:
• Available as a downloadable desktop app for macOS, Windows, and Linux
• Entirely local runtime — no internet connection required
• Plugin system available for advanced extensions via WebAssembly
🔗 Experience Link: