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Workflow & Productivity · Head-to-head

Dust vs Lindy

Dust and Lindy are both workflow & productivity. Dust is Custom AI agents connected to your company knowledge and tools, while Lindy is build AI agents that handle email, scheduling, and business workflows in minutes. Here's an independent, side-by-side look at how they compare — and which fits.

Dust

Platform· Paid product

Custom AI agents connected to your company knowledge and tools.

Visit Dust
Lindy

Platform· Freemium

Build AI agents that handle email, scheduling, and business workflows in minutes.

Visit Lindy

Bottom line

Dust and Lindy are both commercial workflow & productivity. GitHub stars don't measure commercial adoption, so weigh them on pricing model, capabilities, and how you want to buy — not on a star count.

Building one yourself? How to build AI workflow automation

Side by side

SpecDustLindy
TypePlatformPlatform
ModelCommercialCommercial
PricingPaid productFreemium

Key differences

  • Pricing model differs — Dust is paid product, Lindy is freemium.

Choose Dust if

you'd rather buy paid product than freemium.

Choose Lindy if

Business users delegating email, scheduling, and CRM workflows to no-code agents.

About Dust

Custom AI agents connected to your company knowledge and tools.

Full Dust profile →

About Lindy

Build AI agents that handle email, scheduling, and business workflows in minutes.

Full Lindy profile →

Frequently asked

What's the main difference between Dust and Lindy?
Pricing model differs — Dust is paid product, Lindy is freemium.
Is Dust or Lindy better?
Neither is universally better. Dust is the stronger fit for paid product pricing; Lindy for Business users delegating email, scheduling, and CRM workflows to no-code agents. Use the side-by-side specs to decide by your own constraints.
Is Dust or Lindy free?
Dust is a paid product; Lindy is free to start (freemium), with paid tiers.
Which is more popular, Dust or Lindy?
We rank open-source projects by GitHub adoption, but at least one of these is a commercial product and stars don't measure commercial adoption — so compare them on capabilities and pricing instead.
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