Flowith
Overview
Flowith is a node-based canvas for designing branching LLM workflows and keeping parallel threads of work in context. The workspace runs multiple models side-by-side, attaches web search and image generation, and preserves shared memory across branches. It fits teams and individuals who manage complex, multi-path projects, including product planners, developers, writers, and researchers. Collaboration tools help teams review alternatives and maintain evolving knowledge.
Use cases
- Map product features and plan releases with branching scenarios.
- Prototype system architecture and developer workflows across models.
- Outline long-form content and expand sections into separate branches.
- Explore research hypotheses and counter-arguments without losing the main thread.
How it helps
- Reduce time lost to context switching by keeping related threads visible.
- Improve decision quality with side-by-side model comparisons.
- Accelerate iteration by reusing shared knowledge across branches.
Key features
- Branching node canvas to organize parallel options and preserve context.
- Multi-model support for side-by-side output comparison (LLM).
- Enable Automation to trigger multi-step actions from nodes.
- Unified memory system to connect and evolve project knowledge.
- Desktop and tablet optimized for focused AI co-creation.
Pricing
Paid plans available. Check the official site for current details.
Why to choose Flowith?
Flowith uses a visual node canvas to keep parallel threads in view, letting teams compare model outputs and retain shared context across branching workflows.
