Flowith

What is Flowith?

Flowith is an AI canvas platform that pairs a Miro-style visual workspace with autonomous AI agents. The platform's official tagline — "Think, create, execute, flow in one" — points to its core thesis: that real creative and knowledge work is non-linear, branching, and multi-modal, while the dominant AI interface (the chat thread) is linear, single-modality, and stateless. Where ChatGPT, Claude, and Gemini each give you one conversation at a time, Flowith gives you an infinite canvas where AI tasks become nodes you arrange and connect, with outputs flowing from one node into the next across modalities. A draft you generated as text can become a brief that feeds an image generator, whose output feeds a slide generator, whose output feeds a website generator — all visible side by side, all rerunnable, all sharing context.

The product is organized around three concepts that reinforce each other. Canvas is the visual workspace itself — an infinite zoomable board where AI nodes (text, image, video, slide, code, website generators) connect via lines, the way nodes connect in tools like Figma's FigJam, Miro, or n8n. The output of one node becomes the input of the next, so a "campaign brief" text node can pipe into "hero image", "video teaser", "deck", and "landing page" nodes in parallel branches. FlowithOS is the AI Agent Operating System that orchestrates these multi-step workflows behind the scenes — handling routing across underlying LLMs (the platform leverages OpenAI, Google, and other major model providers), managing state across long-running sessions, and recovering when individual generations fail. Users do not interact with FlowithOS directly; it runs underneath the canvas and quietly makes the multi-agent choreography work. Knowledge Garden is the unified context layer where uploaded documents, websites, and prior canvas outputs become reusable knowledge that any agent on any future canvas can pull from. Functionally it acts as personal retrieval-augmented generation (RAG) — instead of pasting the same context into every prompt, you upload it once and reference it across projects.

Agent Neo is Flowith's flagship autonomous agent, designed for what the team calls "non-stop creation": long-running tasks where the agent continues working and producing outputs while the user is offline or focused on other work. Most AI tools require turn-by-turn prompting — you ask, the model answers, you read, you ask again. Agent Neo flips this: you give it an objective ("research the competitive landscape for AI canvas tools and produce a 12-slide deck with positioning recommendations") and it runs persistently, generating progress as it works. This pattern matters because the most valuable AI work is often hours-long synthesis, not a single answer, and humans should not have to babysit a chatbot through every step. Agent Neo is best suited to multi-hour creative or research workflows; it is overkill for quick lookups.

As of May 2026 Flowith reports over a million users worldwide and runs across web, a native macOS desktop app, and an iOS app — unusual for an AI workflow platform, since most competitors ship web-only. The platform also markets first-class generation in five modalities: AI Image (text-to-image with model selection), AI Video (text-to-video and image-to-video), AI Slides (full presentation deck generation), AI Website (generate-and-deploy landing pages and full sites from canvas-based briefs), and the standard text generation that every node implicitly uses. Most AI tools specialize in one modality and require users to stitch together a separate stack for the rest; Flowith's positioning is to be the single workspace where all five live together and share context. The trade-off versus simpler tools like ChatGPT or Notion AI is that Flowith has a real learning curve — you have to learn the canvas paradigm, the node-connection patterns, and how Knowledge Garden references work — but for creators running multi-step or multi-modal projects, that paradigm shift is the whole point.

In market terms, Flowith competes on a different axis from most AI assistants. ChatGPT, Claude, Gemini, and Perplexity all share a chat-thread interface and compete on raw model capability. Notion AI competes by being already inside the document editor where teams work. Mem and similar tools compete on memory and personal-context depth. Flowith competes on workflow paradigm: it argues that the canvas is the right primitive for AI work that branches and that involves multiple modalities, the way Figma argued the canvas was the right primitive for design work. Whether the canvas paradigm becomes the dominant interface for AI work is an open question for 2026 and 2027 — but Flowith is the most developed bet on that thesis right now.

Flowith Pricing

Flowith uses a tiered, credit-based pricing model. Credits are consumed by AI generations across modalities — text generations are inexpensive, image and especially video generations consume more credits per output. Knowledge Garden storage is metered separately. The exact tier names and monthly amounts shift periodically with promotions (the homepage has run "Unlimited Pack" promotions in 2026), so always verify current rates at flowith.io/pricing before committing.

Free tier — $0 · Includes Canvas access, Knowledge Garden uploads (capped storage), monthly credit allotment for AI generations across text/image/video/slide/website, basic Agent Neo runs, web app access. The free tier is enough to evaluate whether the canvas paradigm fits how you work and complete one or two end-to-end multi-modal projects per month before hitting limits.

Pro tier (paid) · Higher monthly credit allotments suitable for daily use, longer Agent Neo run times, expanded Knowledge Garden storage, priority queue for image and video generations, and access to higher-quality model options where applicable. Best for solo creators or freelancers running daily multi-modal work.

Higher / Unlimited tiers (paid) · Designed for power users running heavy video and image generation workloads. The Unlimited Pack promotional tier removes most credit limits for a flat monthly fee. Best for content production teams generating dozens of assets per day.

Mac & iOS apps · The native macOS desktop app and iOS app are included with any plan, including free. The desktop app provides better performance for large canvases than the browser version.

Credit consumption guide — text generations use minimal credits, single image generations consume noticeably more, and video generations are the most expensive per output. Slide and website generations sit in between depending on length and complexity. Heavy video users should plan for higher tiers; text-heavy users get more out of lower tiers than the headline credit numbers suggest.

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Key Features

• Canvas — infinite visual board where AI nodes (text, image, video, slides, code, website) connect via output-to-input lines. Supports branching for parallel alternatives, side-by-side comparison, zoom, grouping, and rerunning individual nodes without redoing the whole flow
• FlowithOS — the AI Agent Operating System that orchestrates multi-step workflows behind the scenes. Routes tasks across underlying LLMs, manages state, and recovers gracefully when individual generations fail. Invisible to the user but powers the canvas
• Agent Neo — flagship autonomous agent for "non-stop creation" across long-running tasks. Given an objective rather than turn-by-turn prompts; runs persistently and produces progress as it works. Best for multi-hour creative or research workflows
• Knowledge Garden — unified context layer where uploaded files (PDFs, docs, web pages), prior canvas outputs, and reference materials become persistent, queryable context that any future canvas agent can pull from. Functions as personal RAG
• AI Image generation — text-to-image directly on the canvas with model selection, style controls, and editing. Output flows into downstream nodes
• AI Video generation — text-to-video and image-to-video as canvas nodes. Output is itself a canvas asset that can be referenced by later nodes
• AI Slides — generate full presentation decks from canvas-context. Decks can be exported to standard formats (PPTX, PDF) and edited iteratively
• AI Website — generate complete websites from canvas-based briefs and assets. Includes one-click publish so output is a live URL, not just a mock
• macOS desktop app — native macOS application with better performance for large canvases than the web version. Supports offline-first patterns where applicable
• iOS app — mobile companion for capturing inputs, reviewing canvas progress, and triggering Agent Neo runs from a phone
• Multi-modal output flow — outputs cross modalities seamlessly: a generated image becomes a slide hero becomes a website banner; a transcript becomes a text node becomes a video script
• Branching & alternatives — natively explore multiple parallel approaches without losing your place. Compare outputs side by side instead of regenerating one at a time
• Reusable canvas templates — save canvas patterns as templates ("campaign brief → multi-modal output") and instantiate them with new inputs
• Citation tracking — when Knowledge Garden context is used, agents can cite the source for traceability
• Real-time collaboration — share canvases with collaborators for joint creative work (availability varies by plan)

How Flowith Compares to ChatGPT, Notion AI, and Gamma

The fairest way to think about Flowith is as a different paradigm rather than a direct feature-for-feature competitor. ChatGPT is the conversational AI standard — a single thread, deep on language, with strong reasoning and code abilities. If your work is one question or one back-and-forth, ChatGPT wins on simplicity and capability density. Notion AI is the in-document AI standard — embedded directly in the workspace where teams already write. If your work happens inside Notion docs and wikis, Notion AI removes the context-switch tax entirely. Gamma is the slide-generation specialist — much narrower than Flowith but deeper on slide-specific output quality.

Flowith does not try to beat any of these on their home turf. Instead it asks a different question: what if your work involves text + image + video + slide + website together? In that case, doing the work in ChatGPT means stitching together five separate tools (ChatGPT for text, Midjourney for image, Runway for video, Gamma for slides, Framer for website). Doing it in Flowith means one canvas where outputs flow between modalities. The bet is that the integration tax of stitching five tools is real and worth a learning-curve trade-off in the other direction.

For users running daily multi-modal projects (campaign creators, brand designers, content marketers, founders building landing pages), Flowith is materially differentiated. For users doing primarily text work, ChatGPT or Notion AI remain better defaults; Flowith's canvas overhead is unjustified for single-modality tasks.

Pros & Cons

Best For

Creators running multi-modal projects. Campaign briefs, marketing collateral, brand asset packs — work where one source idea needs to spawn copy, images, video, slides, and a landing page in parallel rather than sequentially. This is Flowith's core sweet spot, and the canvas paradigm pays back the learning curve here within the first complete project.

Knowledge workers who think in branches. Researchers, strategists, product designers, content planners who want to explore multiple alternatives side by side rather than working a single linear thread. The canvas's branching and side-by-side comparison capabilities map directly to how this kind of work actually happens in the head — pulling that out of the head and onto a board is the whole value.

Solo founders and small teams. A single AI workshop instead of stitching together ChatGPT + Midjourney + Runway + Gamma + Framer. The integration tax of running five separate tools is real for solo founders who do all the work themselves; consolidating into Flowith makes that work tractable.

Anyone running long-horizon AI work. Agent Neo is purpose-built for tasks that take hours rather than minutes — competitive research, document synthesis, multi-step content production. If your AI use case is "kick off and check back later" rather than "ask and read," Agent Neo's persistent run pattern is differentiated.

Mac power users. The native macOS desktop app is unusually capable for an AI workflow tool. If you live in macOS and want native performance over a browser tab, Flowith's app experience is better than most competitors who ship web-only.

FAQ