Lindy

Lindy is an AI employee that connects to 1,500+ apps, joins meetings, runs scheduled routines and completes multi-step tasks for teams, with approvals before outside actions.

What is Lindy?

Lindy is an AI teammate that lives inside the tools a company already uses, most visibly Slack, and carries out multi-step work when someone mentions it in a thread. Instead of answering a single question, it can pull data from several connected apps, combine it, and return a finished output such as a report, a slide deck, a draft reply or a filed ticket. It is aimed at teams in growth, support, engineering, finance and operations who want to hand off recurring busywork rather than build automations by hand.

Lindy keeps a shared memory of how a team works, records and indexes meetings, and runs routines on a schedule. Actions that affect the outside world, like sending an email or posting to another channel, wait for a human to approve them.

Key Features of Lindy

Large integration library

Lindy connects to Gmail, Slack, Notion, HubSpot and more than 1,500 other apps, and supports the Model Context Protocol (MCP) so teams can plug in tools that are not on the list.

Meeting recording and shared notes

It can join calls, take notes and file recordings into a shared meeting library, so colleagues who missed a call can search the transcript or ask Lindy what was decided.

Scheduled routines

Recurring jobs such as a morning brief, a weekly report or a Friday reminder can be set up in a sentence and run automatically on a timetable.

Reusable skills

Lindy ships with more than 40 skills covering research, data analysis, decks and dashboards. A task shown to Lindy once can be saved as a new skill that the whole workspace can reuse.

Editable memory

What Lindy remembers about people and projects is stored in plain files that users can open, read and correct, which makes its context easier to audit than a hidden memory.

Model choice and approvals

Paid plans let users pick the AI model for each task, and built-in approval steps keep outbound actions under human control.

Lindy Pricing

Lindy uses a credit system: simple lookups and summaries use a few credits, while research reports, dashboards and multi-tool builds can use hundreds or thousands. Every active user in a workspace takes a paid seat, and all seats feed one shared credit pool. Monthly credits reset each billing cycle and do not roll over, although purchased top-ups do not expire.

Prices checked on October 27, 2026; check the official pricing page for current plans.

New accounts start with $50 of free credits and no card is needed, which is the easiest way to test it on real work before choosing a credit tier. Check the official Lindy pricing page for the full list of credit packs.

Who Should Use Lindy?

Lindy fits teams that already run much of their work through Slack and SaaS tools and want an assistant that can act across them. Typical uses include:

• Marketing and growth teams pulling ad spend and funnel data into quick write-ups.
• Support leads triaging large ticket volumes and grouping issues by root cause.
• Engineering teams investigating incidents by reviewing recent deploys and traces.
• Finance teams reconciling payment data against a ledger at month end.
• Managers who want automatic meeting notes, daily briefs and inbox triage.

Is Lindy Worth It?

Lindy is a strong option for organisations that want an agent embedded in team chat rather than a separate chatbot window. The breadth of integrations, shared meeting library, editable memory and approval gates make it practical for real operational work, and the free credits allow a meaningful trial.

The trade-off is cost predictability. Because every active user is billed and heavy tasks can consume a large share of the monthly pool, budgets need monitoring, and unused monthly credits are lost at renewal. Small teams with light needs may find a simpler assistant cheaper, while teams with many repetitive cross-tool tasks are more likely to see the value. Visit the official Lindy website to start a trial.