Relume vs Kittl
Side-by-side trajectory, velocity, and editorial themes.
Relume rebuilds itself around the AI editor, shipping its component library as an MCP server.
Relume has spent the last year moving its 1000+ component library out of its own canvas and into wherever designers and developers now work. After native exports into Figma Sites and Claude Design, it has now packaged the full library as an MCP server that plugs directly into Cursor, Claude, Windsurf, and VS Code. The through-line is distribution: Relume increasingly wants to be the design system your AI assistant builds against, not a destination site builder.
The product is converging on a single bet — that the component library is more valuable as connective tissue for AI coding tools than as a standalone builder. Each release widens the set of surfaces (Figma, Claude, now IDEs) that can pull real, on-system components instead of letting the model improvise markup. Expect the canvas features (Design View, wireframing, copywriting) to keep feeding the library while the library itself gets pushed further out to third-party editors.
The next move is likely deeper MCP capability — write-back, live component updates, or design-token sync — so the AI editor stays in step with the Relume system rather than pulling a one-time snapshot.
Kittl goes agentic: design by intent, with the tools you use wired in.
Kittl is a browser-based design tool that has moved aggressively into AI-native creation. Its weekly product-update cadence carries steady craft improvements (brand kits, on-brand generation), but the last two headline releases are directional: an Apps panel that pulls external tools into the canvas, and now an Agentic AI mode that shifts creation from manual prompt-and-parameter tuning toward stating intent and letting the system drive. Kittl is compressing the distance between idea and finished design.
The product is consolidating the whole design workflow inside one surface — first by integrating outside tools (Apps), then by automating the decision-making inside creation (Agentic AI). Together they point at Kittl as an AI design environment where the user sets direction and the agent handles model, format, and style choices, with connected services feeding assets and distribution.
Expect Kittl to widen the Apps ecosystem and give the agent more reach — chaining multi-step design tasks and acting across the connected apps rather than generating single artifacts.
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