Flowith

Freemium

Flowith is an AI agentic workspace for image generation, video, and multi-step research tasks. You work on a visual canvas instead of chat threads.

You place prompts as nodes you can fork, compare, and rearrange. Agent Neo runs longer tasks with up to 10 million tokens of context while you watch the steps unfold.

The tool sits in image generation but stretches into research, writing, and simple websites. It is built for complex work, not quick one-offs.

Open it if you manage multi-step AI workflows across models and formats. Skip it if you want simple chat or finished video production.

You get the most from it when your work looks like this.

• Researchers needing deep AI-powered investigation: Neo runs multi-day investigations and produces polished reports. You inspect each step before it continues.
• Content creators managing complex multi-document projects: The Knowledge Garden builds memory from your uploads. You stop repeating context in every prompt.
• Marketers iterating on visuals across many rounds: You fork one prompt three ways and compare outputs side by side. No scrolling through buried chat history.
• Creators and designers doing heavy image iteration: You switch between GPT Image, Seedream, Flux, and others in one canvas. The Image Agent searches the web to cut your retry cycles.
• Teams wanting visual collaboration on AI-assisted work: Multiple people work the same canvas in real time. Tasks stay visible to everyone.
• Power users willing to trade simplicity for capability: The first week feels slow. After that, the spatial workflow speeds up complex projects.
• Product managers maintaining context across multiple workstreams: You keep parallel projects visible as separate branches. Nothing gets lost in a long thread.
• Solo operators automating complex business tasks: Neo turns broad goals into visible recipes of subtasks. You approve or edit at each node.
• Users who compare multiple AI models regularly: GPT-5, Claude Opus, DeepSeek, Llama, and image models live in one workspace. You pick per task without switching tabs.
• Researchers running multi-day investigations: The 10 million token window and 1000+ inference steps hold continuity across sessions. You resume where you left off.

These are the parts that change how you work.

• Infinite canvas for branching workflows: Your prompts live as movable nodes you can fork and revisit. Linear chat feels cramped after you get used to this.
• Agent Neo with inspectable steps: Neo shows you the search queries, sources, and plan before it acts. You catch bad directions early instead of after a long wait.
• Side-by-side model comparison: You run the same prompt through GPT and Claude in one view. Picking the best output takes seconds, not tab switches.
• Knowledge Garden that compounds: Upload your documents once. The AI pulls from them accurately instead of guessing. The value grows the more you feed it.
• 40+ models in one workspace: You stop managing separate subscriptions. Image, text, and video models live where you work.
• Image Agent with web search: It finds reference material and applies it to your generation. You spend less time tweaking prompts blindly.

Skip it when these limits block your work.

• Steep learning curve: The first sessions feel slow and confusing. You need several days before the canvas feels natural.
• Credit system burns fast: Video and Agent Neo chew through credits unpredictably. One video costs 475 to 6,000 credits. You must watch usage carefully.
• Pricing changes without clear warning: Image generation jumped from 1 credit to 160 credits per image for some users. Support rejected refund requests.
• Not a finished video tool: You get raw AI clips with no voiceover, captions, music, or editor. You still need other tools to complete a video.
• No terminal or file access: Neo makes reports and artifacts, not runnable code. Developers cannot automate files directly.
• Credits do not roll over: Use your monthly allotment or lose it. Heavy users face constant pressure to spend.