Flowith

Overview

Flowith is a canvas-based AI agent tool designed for creators and professional users. Through node-based and visual interaction, it allows users to process multiple questions, ideas, or tasks in parallel on the same canvas, making it suitable for divergent thinking and complex task breakdown. It supports access to various mainstream large models and multimodal models, and can be used for scenarios such as text creation, image generation, video production, material analysis, and automated task execution.

Compared with traditional single-turn conversational AI tools, Flowith places greater emphasis on multithreaded workflows and visual process management. Its built-in Agent mode can break down complex goals into multiple steps, which are then executed step by step by the agent, while users can check progress and intervene at any time. In addition, the platform also provides knowledge management capabilities such as the "Knowledge Garden," making it easy to accumulate personal materials and reuse existing knowledge.

Key Features

• Node-based interactive canvas
  Create multiple nodes on a visual canvas, where each node can correspond to a question, topic, or task, making parallel thinking, information integration, and multi-track progress easier.

• Multiple model options
  Supports various large language models and multimodal models, including GPT, Claude, Grok, Gemini, as well as Midjourney, SDXL, Veo, etc. Users can switch according to task requirements.

• Agent mode
  Based on Agent Neo, it automatically breaks down complex tasks, generates execution plans, and advances step by step, making it suitable for workflows such as research, writing, planning, and design.

• File upload and content analysis
  Supports file formats such as PDF, DOC, and Excel, and has OCR capabilities for document understanding, material extraction, and data organization.

• Multimodal content generation
  Supports multiple forms of content generation such as text, images, and video, meeting the needs of content creation and visual expression.

• Knowledge Garden
  Lets users build a personal knowledge base to organize materials, documents, and reference content, and call on the knowledge base during creation so that outputs better match personal background and business needs.

• Workflow visualization and project management
  The task execution process is displayed in a workflow format, making it easy to view the status of each stage; at the same time, it supports archiving content by project to improve organizational efficiency.

Pricing

Flowith uses a tiered model consumption mechanism, which is known to include the following types:

• T-1 tier models: Focused on higher performance and higher cost, suitable for complex reasoning or high-quality generation tasks, such as GPT-5, Claude 4.5, Veo 3, etc.
• T-2 tier models: More balanced and cost-effective, suitable for daily creation and routine analysis tasks, such as GPT-4.1, Gemini 2.5 Flash, Kimi-K2, etc.

Specific package prices, credit consumption, and benefits may change with official adjustments. Please refer to the latest page on the official website.

FAQ

• Who is Flowith suitable for?
  It is suitable for researchers, content creators, students, professional consultants, enterprise employees, and developers who want to build automated workflows.

• What is the difference between Flowith and regular chat-based AI?
  It places more emphasis on canvas-based node management, parallel task processing, and visual workflows, making it suitable for complex tasks rather than just single-turn Q&A.

• Does it support generation combined with a knowledge base?
  Yes. Users can manage personal knowledge in the "Knowledge Garden" and call relevant materials during task execution or content creation.

• Does it support image and video generation?
  Yes, provided that the selected model has the corresponding multimodal generation capabilities.