Lindy combines an AI work assistant with a flexible builder for multi-step, trigger-based agent workflows.
Editorial score
Broad workflow builder with triggers, branching, parallel actions, timers, exception handling, testing, and templates.
Credit consumption varies by model, complexity, premium actions, and run duration; unused credits do not roll over.
Lindy is an AI work assistant and no-/low-code platform for building trigger-based agent workflows. It combines a ready-made assistant for inbox, calendar, meeting, and follow-up tasks with a visual builder for multi-step automations, code, webhooks, and connected apps. Its technical scope is substantial, but prospective buyers should closely test reliability and credit consumption: the available user-review aggregate is predominantly negative on value, support, and reliability.
Lindy is an AI work assistant and no-/low-code AI agent workflow platform. Its ready-made assistant handles email, calendars, meetings, scheduling, follow-ups, messaging, and ad hoc delegation, while custom agents support multi-step workflows built with integrations, AI steps, memory, logic, and code.
Typical assistant tasks include triaging and prioritizing email, drafting replies, scheduling and preparing for meetings, creating notes and follow-ups, and accepting delegated work through iMessage, SMS, Slack, email, or the web app.
Lindy supports both event-driven and scheduled workflows. Available triggers include new emails, new calendar events, scheduled times, chat messages, and webhooks. Builders can sequence actions, run actions simultaneously, route with natural-language conditions, process lists in parallel, and use timers, delays, and waits.
For advanced workflows, Lindy supports Python and JavaScript steps, authenticated HTTP requests, browser-based Computer Use, task monitoring, and observability data. Agent Builder enables prompt-to-agent creation, while persistent memory and integrations extend agents across multi-step work. Lindy advises using deterministic actions and conditions where possible because AI agents can cost more and be less reliable.
Lindy states that it connects with hundreds of apps. Named examples include Gmail, Google Calendar, Google Docs, Google Drive, Google Sheets, HubSpot, LinkedIn, Microsoft Outlook, Microsoft Teams, Notion, Salesforce, Slack, Telegram, Twilio, YouTube, and Zoom.
For systems outside the connector set, inbound webhooks can start workflows, HTTP Request can call external APIs, Python and JavaScript can add custom logic, and Computer Use can operate systems without an available API or integration. This gives technical teams several options for extending workflows beyond prebuilt connections.
Lindy is best suited to professionals and teams that want AI assistance for inboxes, calendars, meetings, follow-ups, sales, support, operations, research, and custom business processes. Templates and visual workflows help non-programmers get started, while webhooks, HTTP, code, model calls, and observability give advanced builders more control.
Enterprise buyers can access shared usage, onboarding, dedicated support, SSO, SCIM, audit logs, custom company context, and HIPAA support with a signed BAA. It is a weaker fit for organizations that only need deterministic, inexpensive, high-volume routing or cannot actively monitor credit usage.
Where the product fits — and where to be careful
Good fit for professionals and heavy individual operators willing to monitor usage.
Strong fit for teams that need flexible AI-assisted automation rather than only fixed routing.
Lindy supports event and schedule triggers, sequential and parallel execution, conditions, looping, timers, webhooks, code, HTTP requests, exception handling, testing, task monitoring, and observability.
The platform provides prompt-to-agent creation, AI steps, persistent memory, integrations, code, Computer Use, and Agent Builder, although its own guidance notes that agent behavior can be less reliable than deterministic actions.
Lindy connects with hundreds of apps and provides common productivity, CRM, messaging, and data connectors alongside inbound webhooks, outbound HTTP requests, Python, JavaScript, and Computer Use.
Pricing is public, but usage is credit-based, credits do not roll over, agents pause at exhaustion, and the user-review aggregate is strongly negative on value for money.
Category scores use the linked comparison rubric and can differ from a product’s overall review score.
| Product | Category score | Best for | Key tradeoff |
|---|---|---|---|
| | 3.8/5 | Professionals and teams that want an AI assistant for communication and scheduling plus customizable automation for repeatable business tasks. | Credit consumption varies by model, complexity, premium actions, and run duration; unused credits do not roll over. |
| | 4.5/5 | No-code business and operations users building AI-powered workflows for research, document handling, and connected browser or business-app tasks. | Credit consumption can vary with model choice, tokens, tools, and task length. |
| | 4.5/5 | Teams building and deploying AI agents for multi-step operational workflows, sales processes, and customer-facing use cases. | Usage is metered through separate Actions and Vendor Credits, so buyers should model expected tool and model consumption. |
| | 4.0/5 | Businesses that need fast, accessible AI automation across a vast app integration ecosystem. | Task-based billing, AI model multipliers, tool calls and overages can raise costs for high-volume workflows. |
Based on 37 public customer reviews. Source mix: 35 from trustpilot.com, and 2 from capterra.com.
Customer sentiment is analyzed separately and does not determine the Reviews.vc editorial score.
| Theme and finding | Mentions | Positive | Negative |
|---|---|---|---|
Value for money Buyers frequently describe poor value because credits can be consumed quickly or unpredictably, while several also report disputed or continued charges and difficult cancellation. | 28 | 2 | 27 |
Support Support is commonly described as hard to reach or slow to resolve billing, cancellation, and technical problems, though a small number of reviewers report helpful outcomes. | 20 | 3 | 17 |
Reliability Reviewers report unreliable automations and integrations, including missed or misrouted email actions, duplicate triggers or messages, failures, and long delays. | 13 | 0 | 13 |
AI capabilities The AI is seen as useful for some basic automation, but reviewers report that it can misunderstand instructions, hallucinate, and struggle with more complex tasks or external services. | 10 | 3 | 7 |
Workflow building Workflow building can enable customizable task automation, but reviewers describe a steep or unintuitive setup process and workflows that can behave unpredictably or require manual correction. | 8 | 4 | 5 |
Mentions count unique reviews. One review can count as both positive and negative for the same theme when it describes a mixed experience.
This analysis reflects public customer reviews we could identify and access at the time of collection; the displayed source mix may influence the patterns shown.
| Period | n | Positive | Mixed | Negative |
|---|---|---|---|---|
| 2025 Q4 | 5 | 0 | 1 | 4 |
| 2026 Q1 | 6 | 0 | 0 | 6 |
| 2026 Q2 | 8 | 0 | 1 | 7 |
| 2026 Q3Limited sample | 1 | 0 | 0 | 1 |
Only periods containing dated reviews are shown; gaps between labels mean no dated reviews were available for those periods.
Lindy publishes monthly Plus, Pro, and Max plans, plus custom Enterprise pricing. New accounts receive a 7-day trial with full Pro features.
| Plan | Price | Includes |
|---|---|---|
Plus | $49.99 per month | Plan for professionals getting started. |
Pro | $99.99 per month | Plan for heavier use, including daily delegation, multiple inboxes, research, meetings, and ad-hoc tasks. |
Max | $199.99 per month | Plan for very heavy use. |
Documented connections and access methods for Lindy.
Salesforce Native
HubSpot Native
Slack Native
Gmail Native
Google Calendar NativeRecent product and company updates
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