Lindy

Lindy is an AI assistant and agent platform focused on automating the practical work that happens around email, meetings, scheduling, messaging, and task execution. It combines AI agents, workflow building, integrations, memory, and communication channels like iMessage, SMS, Slack, and email so users can delegate real work instead of just generating content. In workflow terms, Lindy is built to automate knowledge work across inbox, calendar, follow-ups, research, and operational tasks using AI and connected apps.

Why people use Lindy

People choose Lindy because it is designed around business outcomes rather than generic automation building. It handles inbox management, meeting prep, meeting notes, follow-ups, scheduling, and ad hoc work through one AI assistant experience. For teams that want AI to operate across tools instead of staying inside a chat window, Lindy offers a more action-oriented model. It is especially attractive to founders, executives, operators, and GTM teams that want autonomous assistance with communication-heavy workflows and fast access through text, mobile, Slack, or web.

Core capabilities

• AI assistant for inbox triage, drafting, and follow-up workflows
• Meeting preparation, note taking, summaries, and post-meeting actions
• Workflow builder with triggers, actions, agent steps, conditions, and loops
• Integrations with hundreds of business tools and data sources
• Communication channels across iMessage, SMS, Slack, email, and web
• Knowledge base support for file, website, and cloud content retrieval
• Persistent memory and contextual behavior across interactions
• Task monitoring and debugging for automation runs

Who it is best for

Lindy is best for individual professionals, founders, executives, operators, and small teams that want an AI assistant to handle communication-heavy work and routine coordination. It also fits teams building lightweight AI agents for support, scheduling, sales, and internal operations. Users get the most value when they want AI to act across connected tools, not just answer prompts.

How it fits into modern workflows

Lindy fits into modern workflows as an AI execution layer across communication, scheduling, and business systems. It connects to common workplace apps, triggers actions from events, and uses agent steps to make decisions when workflows are not fully deterministic. Because it spans channels like email, Slack, SMS, and calendar tools, it is especially useful for workflows that begin in conversation and end in a concrete action across the stack.