Flowith

Freemium

Flowith is an AI agent workspace that sits in the AI Agents category. It wraps 40+ models from OpenAI, Anthropic, Google, and others into one visual canvas.

You work on an infinite 2D board where prompts become nodes you can branch, compare, and revisit. Agent Neo runs autonomous multi-step tasks while you watch and approve each node.

The credit system is volatile and burns fast on video or image work. The learning curve is real—plan on a few days before the canvas feels natural.

Open it if you juggle complex, multi-threaded work across models and need one place to track it. Skip it if you want simple chat or predictable flat-rate pricing.

These are the jobs where it actually earns its keep.

• Researchers doing parallel exploration: You run three headline directions or source paths side by side. You keep your history visible without scrolling through buried chat threads.
• Content creators managing complex multi-document projects: You feed the Knowledge Garden papers and briefs, then pull grounded answers instead of generic web results.
• Marketers iterating on visuals across many rounds: You fork image prompts and compare Seedream, Nano Banana, GPT Image, or Flux outputs in one view.
• Power users juggling complex, exploratory work: You trade simplicity for capability—Agent Neo plans its own steps, and you inspect before you approve.
• Teams wanting visual collaboration on AI-assisted work: You share a live canvas where teammates see branches and leave the session with context intact.
• Researchers running multi-day investigations: The 10M token window and 1000+ inference steps let you keep long context alive across sessions.
• Product managers maintaining context across multiple workstreams: You keep specs, research, and drafts on one board instead of scattered docs.
• Technical writers working through large documentation libraries: Knowledge Garden grounds answers in your uploaded docs, cutting down hallucinations.

These are the parts that keep you coming back once the learning curve flattens.

• Infinite canvas for branching workflows: You stop losing old prompts in long chat threads. You fork, compare, and step back to any earlier node.
• Agent Neo with visible reasoning: You see the recipe and each step before it runs. You catch bad plans early instead of discovering them in the output.
• Knowledge Garden that compounds: The first month feels thin. After steady uploads, answers pull from your docs and cut the generic noise.
• 40+ models under one roof: You switch between GPT-5, Claude, DeepSeek, and image models without losing your place or copying prompts between tabs.
• Side-by-side model comparison: You run the same prompt through different models and judge outputs on one screen.

These limits kill the fit for some jobs.

• Credit system with no rollover: You must watch usage closely. Image generation jumped from 1–10 credits to ~160 credits per image without clear warning for some users. Video burns 475–6,000 credits depending on settings.
• Steep learning curve: Your first sessions feel slow and frustrating. The canvas only clicks after several days of forced habit change.
• No finished video pipeline: You get raw AI clips, not scripted videos with voiceover, captions, or music. You still need another tool to polish.
• Limited file access and integrations: Agent Neo makes artifacts, not executable code. Direct app integrations are thinner than dedicated automation tools like Zapier or n8n.
• Support and refund friction: Pricing changes have hit existing subscribers without clear notice at renewal. Refund requests get template rejections.