Lindy
AI teammate that works in Slack, email and your meetings
Lindy is an AI agent positioned as a teammate rather than a builder canvas: it sits in Slack threads, email and iMessage, joins Meet, Zoom and Teams calls to record and organise them, and takes on recurring work on a schedule. It ships with more than forty skills covering research, data analysis, decks and dashboards, drafts email replies in your voice across several inboxes, and keeps what it knows about the company in plain files a team can read and edit. It connects to over a thousand tools including Gmail, Notion, HubSpot, Stripe, GitHub and Linear, and supports MCP servers and computer use for anything without an integration.
- Slack-native teammate that works in threads and mentions
- Joins Meet, Zoom and Teams calls to record and transcribe
- Scheduled routines take on recurring work on a cadence
- More than 40 built-in skills, and you can create your own
- Editable memory kept as plain files the team can review
- Drafts replies in your voice across up to 5 inboxes
- Computer use and MCP support for tools without integrations
- Thousands of integrations including Gmail, Notion and HubSpot
Based on what people have said
Every answer links back to the mentions it came fromHow does Lindy handle meeting scheduling?
Users can add Lindy to the CC line of an email thread, allowing the assistant to read the conversation, check calendar availability, suggest times, and book the meeting directly without requiring users to navigate to external pages.
10 mentions · @iam_chonchol · @tec_aryan · @svpino · @TechByArti · @HeyNayeem · @thetripathi58 · and 4 more · Sep 2026
What features does Lindy offer for managing meeting recordings?
Lindy can automatically sort meeting recordings into shared folders based on user-defined rules. Once stored, users can ask questions about the content of these calls rather than manually searching through transcripts.
7 mentions · @zentalksai · @TheAIColony · @TawohAwa · @dee_naliaks · @alex_verem · @ConnorGillivan · and 1 more · Aug 2026
Can Lindy handle tasks beyond scheduling and meeting summaries?
These summarise counts and dates only. Read the quotes themselves under what people are saying.
What people are saying about Lindy
65% positive“@steipete @useblacksmith letting codex choose which tests to run is the sane half of this, lindy was burning thousands a month on github actions for agent-generated diffs before they capped it.”
“Lindy (built around ready-made agents like inbox assistant, meeting notes, lead follow-up, lots of templates) and Gumloop.”
“Lindy and Gumloop are closest to what you're describing; both are fine until the agent needs something the template didn't anticipate, and then you're debugging generated nodes with less visibility than Make gave you. Honestly n8n with three nodes is easier than Make with three nodes — the UI is less clever.”
“I've been looking at several options including Pally, Lindy AI, MartinAI, Fyxer AI, and Motion. Each seems to have different strengths—some focus more on email automation, others on task management or custom workflows.”
“What reviews agree on: fastest route to a working agent if you are non-technical, and the recurring complaint is credit pricing being hard to predict. No free tier, seven day trial.”
“I'm a bit curious about Lindy, especially to recommend to non-technical users. There doesn't seem to be an active, dedicated subreddit for it which concerns me.”
“Lindy is closer to describe-the-agent for aget-style tasks. The caveat: the prompt gets you a working draft, not a finished product.”
“Zapier's Copilot and Lindy are the closest to 'describe it, we build it' for non-developers - you type the workflow, they draft it, you connect your accounts. The part nobody skips: you still need to test with real data, because prompt-built agents fail silently on the cases your prompt didn't mention.”
“4. Agents → Genspark/Lindy”
“This is much cleaner: CC Lindy on the email thread, and it handles finding a time and sending the invite without pulling anyone into another page.”
“Lindy's new CC scheduling keeps it inside the thread. They click a time and it is done.”
“Recent delightful example: person emailing me 5min before a meeting asking if there is parking around the office, and Lindy handling it autonomously:”
“The beauty of this is cc'ing Lindy while planning something and letting the agent handle the scheduling (which always takes me 3-4”
“CC Lindy on the thread and it handles the scheduling. It reads the conversation, understands the constraints, checks your calendar, and either books the agreed time or shares 3 available slots.”
“Just CC Lindy and let it handle the scheduling. Honestly, this is how AI assistants should work.”
“Just CC Lindy on the email thread. It reads the conversation, suggests three times, books the slot, and sends the invite.”
“Lindy makes this much simpler. Just CC it on the thread and it can: → Understand what the meeting is about → Check your availability → Suggest times → Handle the back-and-forth → Book”
“Lindy has released CC-based scheduling, allowing users to hand an email thread to the assistant by adding its email address on the CC line.”
“Lindy just killed that entire loop with CC-based scheduling.”
“What I like about Lindy is how naturally it fits into the workflow:”
“Lindy basically turns the CC field into an AI assistant.”
“I've been watching Lindy closely and it's a fantastic tool for keeping everyone in the loop on what happens in meetings. So much time saved on all those meeting notes and slack questions! Check it out yourself and let me know what you think!”
“Lindy just put every team meeting into shared folders you can ask directly. No more "what did they say on that call?"”
“@Austen It's hard to imagine all these assistants winning... Victor, Instinct, Tasklet, Dash, Lindy, cassidy, etc.”
“Tell it "any call with a client goes in this folder" and every future meeting files itself. Then anyone on the team can ask the folder questions.”