Lindy Review (2026): Pricing, Features, Pros & Cons

Lindy builds AI agents that do work rather than workflows that move data. The distinction matters in this category, where Zapier, Make and n8n all start from "when this happens, do that" and have added AI as a step inside it. Lindy starts from an agent you delegate to, which then decides which of its skills and integrations to use.

In practice that means a Slack-native assistant you mention in a thread, meeting recording and notes, inbox management, drafting replies in your voice, and computer use — the agent operating software directly. Lindy claims more than 1,500 integrations and over 40 built-in skills, with the ability to define your own.

Pricing is credit-based and the company is unusually clear about what a credit buys: everyday tasks cost 2–250 credits, while complex projects such as building a dashboard or an internal tool run 1,000–2,500. The Free plan gives $50 in credits for seven days with no credit card. Team starts at $29.99 a month for 3,000 credits and scales in tiers up to $3,999.80 for 700,000. Enterprise is quoted individually.

Be clear-eyed about the credit model. It is honest here — you consume credits only when the agent works, and the per-task ranges are published — but it still makes monthly cost a function of how much you use rather than a number you can commit to in advance. The seven-day free window is short for working that out, especially for something whose value only shows once you have trusted it with real work.

Choose Lindy when the job is open-ended and you want something to handle it end to end. Choose Zapier, Make or n8n when the job is a defined sequence of steps between known apps, where a deterministic workflow is cheaper, faster and far easier to debug when it breaks.