Gumloop vs Lindy

A side-by-side look at Gumloop and Lindy — pricing, features and where each one wins. Both are reviewed independently on Curata AI.

GumloopLindy
SummaryVisual AI agent and workflow builder for teams, letting non-engineers automate work with AI agents across integrations.AI executive assistant that manages email, meetings, calendars and follow-ups by learning how you communicate.
PricingFreemiumPaid
CategoryAI AgentsAI Agents
PlatformsWebWeb, API
Key features
  • Visual AI Agent Builder
  • Unlimited Seats on Pro
  • 20,000 Monthly Credits (Pro)
  • Integration Library
  • Email triage and reply drafting in your own writing style
  • Autonomous meeting scheduling and rescheduling
  • Pre-meeting briefings, live notes and post-meeting recaps
  • Action-item extraction, reminders and follow-up tracking
  • Hundreds of integrations (Gmail, Outlook, Google Calendar, Slack, Notion)
  • Custom agent building for sales, support, recruiting and ops workflows
Pros
  • Confirmed self-serve pricing (Pro $37/month) with unlimited seats, not per-user
  • 14-day free trial on Pro to test before committing
  • Has a public 'Gumloop Creators' affiliate program (20% of referred subscription revenue for 1 year)
  • Core identity is genuinely an agent/workflow-building platform, not a broader workspace with agents bolted on
  • Learns and adapts to an individual's writing and scheduling style rather than using generic templates
  • Hundreds of integrations cover most common productivity tools (Gmail, Outlook, Slack, Notion, calendars)
  • Clear, published tiered pricing — a rarity in the AI agent category, where most competitors hide behind 'contact sales'
  • Reported adoption inside recognizable companies (Shopify, Apple, Adobe, McKinsey, Nvidia)
  • No long-term contract required — cancel anytime after the 7-day trial
Cons
  • 20,000 monthly credits on Pro is a usage cap that heavy users could exhaust
  • Newer, less established brand than larger workflow-automation platforms
  • No ongoing free tier — only a 7-day trial, then it's a paid plan starting at $49.99/month or nothing
  • Credit-based usage makes real monthly cost unpredictable; reviewers report overages with limited warning
  • Error handling can be weak — a failed action may fail silently instead of alerting you
  • Independent reviews report a low Trustpilot score (2.4/5) despite endorsements from tech influencers
  • Not built for high-volume phone/call automation the way Vapi or Retell AI are

Which one should you choose?

Gumloop

Best for: Teams that want a self-serve, no-code way to build and run AI agents without engineering involvement.

Lindy

Best for: Busy professionals and teams who want to delegate inbox, scheduling and meeting admin work to an AI assistant.

Read the full Gumloop review

Gumloop is a visual builder for running AI agents and workflows with a team, letting non-technical users automate work across integrations without writing code. It's positioned as a self-serve agent platform for teams that want to build and run their own AI agents rather than relying on IT or engineering to build automations for them.

Read the full Lindy review

Lindy is an AI executive assistant that handles email management and drafting, meeting scheduling, meeting notes and recaps, and task/follow-up tracking, communicating with users over SMS/iMessage. It observes how a user writes emails, responds to messages and handles their calendar to match their communication style, and connects to hundreds of tools including Gmail, Outlook, Google Calendar, Slack and Notion, cross-referencing multiple apps without needing explicit commands. Beyond the built-in assistant, Lindy can be used to build custom agents for sales, support, recruiting, operations and healthcare workflows. Plans run Plus at $49.99/month, Pro at $99.99/month (3x usage, computer use, model selection), Max at $199.99/month (7x usage), and a custom Enterprise tier with HIPAA, SSO, SCIM and audit logs. There's no ongoing free tier — only a 7-day free trial with Plus features — and no long-term contract is required.