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design-graph

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In short

Design Graph visualizes AI-generated user flows and product experiences, mapping screens as nodes and user actions as edges on a single canvas.

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What is design-graph?

Design Graph is an open-source, AI-powered canvas tool that maps complete product experiences as interactive flow diagrams — built for designers, developers, and product teams who need to see the whole user journey, not just individual screens. Unlike conventional AI design tools that generate isolated pages or screen variants, Design Graph treats each AI-generated screen as a node and each user action as a directed edge, giving teams a holistic, flow-based view of their product's structure and interaction logic. The canvas works directly with files on disk and integrates with any coding agent, making it a natural fit for developer-led design workflows. Because it stores outputs as local files rather than in a proprietary cloud, teams retain full ownership of their work. Released under the MIT license, Design Graph is free to use, fork, and extend — ideal for startups, indie developers, and product studios looking for an open alternative to locked-in SaaS design platforms.

What is design-graph used for?

AI tool for slides & web design workflows

How much does design-graph cost?

Free

Free

Fully open-source under the MIT license. Free to use, fork, and self-host with no restrictions.

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Pros and cons

Pros

• Visualizes entire user flows as a connected graph — screens as nodes, actions as edges — rather than isolated screen variants • Works with files on disk and integrates with any coding agent, fitting naturally into developer-led workflows • MIT-licensed and fully open-source, giving teams complete ownership with no vendor lock-in • Holistic product-experience view helps teams spot gaps in navigation and interaction pathways early • Lightweight canvas-based approach requires no proprietary cloud — all outputs stay local

Cons

• Early-stage open-source project; may lack polish, documentation, and enterprise support compared to commercial tools • No built-in design system or component library — teams must supply their own visual assets • Requires familiarity with coding agents or CLI workflows; less accessible for non-technical designers • Community and plugin ecosystem is nascent compared to established tools like Figma or Framer

Questions about design-graph

What is Design Graph and how does it differ from other AI design tools?

Design Graph is an open-source AI canvas that maps full product experiences as flow diagrams, where each node is an AI-generated screen and each edge is a user action. Unlike tools that produce isolated screen variants, Design Graph lets you visualize the entire user journey on a single canvas.

Is Design Graph free to use?

Yes. Design Graph is released under the MIT license, making it completely free to use, modify, and distribute. It is hosted on GitHub at github.com/noemica-io/design-graph.

Does Design Graph work with coding agents like Cursor or GitHub Copilot?

Yes. Design Graph stores outputs as files on disk and is explicitly designed to integrate with any coding agent, making it compatible with tools like Cursor, Copilot, and similar AI-assisted development environments.

Who is Design Graph best suited for?

Design Graph is best suited for developers, product designers, and product teams who want a flow-centric view of their product experience and prefer open-source, file-based tooling over proprietary SaaS design platforms.

Can Design Graph replace Figma or Framer for UX flow mapping?

Design Graph focuses specifically on AI-generated flow mapping rather than pixel-perfect design. It can complement tools like Figma for flow-level planning, but it does not currently offer the component libraries or real-time collaboration features found in mature commercial design tools.

What are the best alternatives to design-graph?

Compare this tool against close alternatives in the same category, focusing on output quality, onboarding speed, and workflow fit.

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