Lindy review: AI teammate for teams that works across Slack, email and your business tools

What Lindy does

Lindy is presented by its vendor as an AI employee for a whole team. Instead of only answering questions, it is meant to take on jobs such as pulling reports, updating a CRM, clearing an inbox or putting together a slide deck, using the tools your company already runs. It connects to Gmail, Slack, Notion, HubSpot and 1,500+ more apps, and it supports MCP.

You can reach it in Slack, iMessage, email and your browser. It keeps memory in plain files that you can open and edit, comes with 40+ skills, and lets you save your own way of doing a task so teammates reuse it. Recurring work can run on a schedule, and it can record meetings, write notes and share a meeting library. Actions with outside impact, like sending an email, wait for approval.

Pricing is credit-based. A Free plan gives $50 in credits with no credit card, and those credits last 7 days. The Team plan starts at $29.99 per user per month for 3,000 credits, with credits pooled across the team and larger monthly bundles available. Extra credits can be topped up at $10 per 1,000 credits. Enterprise has custom credits and billing and adds HIPAA with a signed BAA, SSO & SCIM and audit logs. Monthly credits do not roll over.

• 1,500+ app integrations plus MCP
• 40+ built-in skills, plus custom ones
• Scheduled routines
• Editable plain-file memory
• Meeting recording, notes and shared library
• Email replies drafted in your voice
• Works in Slack, iMessage, email and browser
• Approval required for outside-impact actions

Our take

Lindy suits teams that already live in Slack, email and a stack of SaaS tools and want one shared assistant that remembers context, follows saved skills and runs routines. The shared credit pool and admin controls fit small groups that want to budget usage in one place. It is a weaker fit for solo users who want a permanently free tool, since the free credits last only 7 days, or for anyone who needs predictable flat costs, because every active user is billed and heavier jobs consume more credits. The official pages publish no annual discount and no API details, so check those before committing.