Lindy

What it does

Lindy is an AI teammate. It lives in your team's Slack, and you can also reach it through iMessage and SMS, a Chrome extension in Gmail and a web app. It connects to your business tools and carries out work across them: drafting email replies, labelling the inbox, preparing meeting briefs and answering questions about your data.

It records meetings on Google Meet, Zoom and Teams and files the transcripts and summaries in a shared library. Routines run recurring jobs on a schedule or a trigger. Skills are reusable playbooks, and its memory lives in plain files that you can open and edit.

Why you would need it

Every team has repeat work that sits between tools. The Monday report, the inbox triage, the follow-up after a call, the question that needs data from three systems. It is too small for a project and too big to ignore.

Lindy aims at that gap without code. You describe the job in a sentence, and it does the steps in your existing apps. You feel the need when people spend the first hour of the week copying numbers around.

Where it fits

Lindy sits across the tools you already use, reading and writing to email, calendar, CRM and project tools. The vendor says it connects to more than 1,000 tools, including Gmail, Slack, Notion and HubSpot. It supports MCP servers for tools that lack an integration, and where neither exists it can drive a browser or write its own integration against the tool's API.

It replaces small automation scripts and manual busywork. It sits beside Zapier Agents and Relevance AI, which take a more build-it-yourself approach.

What stands out

• Guardrails per integration: always allow, require approval, or never offer writes.
• Credits pooled across the whole workspace, so a team shares one balance.
• Routines made of a trigger, a plain-English prompt and a destination for the result.
• Memory in plain files, and skills you can save once and share with the team.

My take

The part I like is the guardrail model. An agent that writes to your CRM and email is only useful if you control what it may do. Reads are never guarded, and writes can ask for approval in Slack, which is the right default.

What I would watch is cost and scope. Credits make usage hard to predict, and the guardrails only apply in shared Slack threads. Start with read-only tools and approvals, and widen access once you trust the results.

Verdict

Pick Lindy if your team works in Slack and email and wants an assistant that acts inside them. Skip it if you want a visual workflow builder, or if you need strict control everywhere, because guardrails do not cover every channel.