Flowith is a canvas based AI workspace where users interact with models and agents through a visual, branching interface rather than a single linear chat. Instead of one conversation thread, work is organized on an infinite canvas where nodes represent prompts, responses, and steps that can branch in multiple directions. It supports multiple models and lets users build agent driven workflows that carry out multi step tasks. This structure is meant to help with exploration, research, and content creation where different lines of thinking and iterations benefit from being laid out visually and revisited.
The platform is aimed at knowledge workers, creators, and individuals who want a more flexible way to work with AI than standard chat interfaces. It fits people doing research, writing, brainstorming, and complex tasks that involve exploring several directions at once. Because it emphasizes a visual canvas and branching, it appeals to users who think spatially and want to keep context organized across many threads. Its multi model support and agent features also attract users who want to combine different capabilities and automate longer tasks within a single flexible workspace.
In practice, users add nodes to a canvas, branch conversations, and connect steps into workflows that agents can execute. Multiple models can be used within the same space depending on the task. The visual layout keeps parallel ideas and iterations organized, making it easier to compare directions and build on earlier work.
