Lindy

What is Lindy?

Lindy is a platform for building AI “agents” without writing code. The idea is to create a digital workforce that can handle specific, repetitive business tasks. You describe what you want done in plain English, connect the apps you already use, and the agent carries out the task.

The system is presented as a way to create an **“AI employee”** for different departments. For example, you could build an agent to monitor support emails, understand the issue, and draft a reply. Or you could have one act as an inbound sales development rep, researching and qualifying leads as they come in.

Where Lindy starts to stand out is in how these agents can sit between multiple tools and keep systems in sync. For instance, it can connect to platforms like **Brilliant Directories** to manage listings, members, or submissions, **Beehiiv** to help process newsletter signups, audience data, or content workflows, and **Coda** to act as a structured source of truth that agents can both read from and write to.

How It Works

The process is based on natural language instructions rather than visual workflows. You don’t drag and drop modules like in Zapier, Gumloop, or n8n. Instead, you write a prompt describing the agent’s role (similar tools include Relay.app), and Lindy generates the agent logic for you.

It’s aimed at operations managers, small business owners, and indie hackers who are already comfortable with automation but are hitting the limits of simpler rule-based tools.

Core Features

• No-code agent builder using natural language instructions
• Template library with pre-built agents for common workflows such as email triage, data extraction, and summarization
• Integrations with common business software including Slack, Google Drive, HubSpot, Notion, Freshdesk, and newsletter, directory, and database tools like Beehiiv, Brilliant Directories, and AITable.ai
• Predefined agent roles for support, sales, marketing, and document processing
• Phone agent support for handling and responding to calls
• Model-agnostic setup, allowing you to choose which AI model powers each agent
• Team-focused management features, including access controls and governance

Additional Features

• Centralized management for training and deploying multiple agents
• Permission-based access controls
• Computer use via a virtual machine for agents
• Prompt-to-agent creation workflow
• Ongoing access to a growing template library