Lindy Alternatives (2026): 10 Tools Compared

Lindy is an AI teammate you connect to your own tools, and it takes on work such as reports, CRM updates and inbox admin. If you've looked at it, you'll know the appeal: you describe the job, and the agent gets on with it. You might still want a different way of working, perhaps more control over each step, a team workspace, or a tool built around your own documents.

Here are ten alternatives to Lindy in no particular order, sorted alphabetically. A few are familiar names and most are smaller, more focused platforms. I've taken every description from each tool's own website, so check the current details there before you commit to anything. If you're still deciding whether an agent is the right fit at all, my plain-English explainer on AI agents and automation is a gentler place to start.

Lindy alternatives at a glance

In the free plan column, Yes means the tool's own site describes a free plan or a free tier. Trial only means a free trial without an ongoing free plan. No means the site states neither, or asks you to book a demo. Offers change often, so confirm on the site itself.

Tool	Type	Good for	Free plan
Bardeen	Lead automation	Collecting and tidying lead data from the web	Yes
Cassidy	Knowledge-based	Agents that draw on your company knowledge	No
Dust	Team agents	Shared agents connected to company knowledge	Yes
Gumloop	Workflow builder	Agents that connect apps and run on triggers	Trial only
MindStudio	No-code agent builder	Building agents that use many AI models	Yes
Relevance AI	Agent platform	Prospecting, meeting prep and support agents	No
Sintra AI	Ready-made helpers	Role-based helpers for everyday business jobs	No
Stack AI	Agent builder	Building and governing agents for business systems	Yes
Taskade	Workspace and agents	Apps, agents and workflows from one request	Yes
Zapier Agents	App-connected agents	Delegating jobs across thousands of apps	Yes

Ten AI teammate and agent platforms to look at

Bardeen

Best for: Sales and marketing teams who want to gather, enrich and export lead details without copying them by hand.

Cassidy

Best for: Teams who want agents and workflows built around their own documents and connected tools, set up with a demo.

Dust

Best for: Small teams who want to build, share and run agents that sit on top of their own information.

Gumloop

Best for: Teams who want agents wired to their business apps and started automatically by events.

MindStudio

Best for: People who want to build and manage their own agents without code and choose which model each uses.

Relevance AI

Best for: Teams who want customisable agents for sales research, meeting preparation and customer support.

Sintra AI

Best for: Solo owners who like the idea of ready-made helpers for social media, sales and customer support.

Stack AI

Best for: Teams who care about connecting agents to existing systems with oversight over what they can do.

Taskade

Best for: Small teams who want to describe what they need and get working software, agents and workflows.

Zapier Agents

Best for: Owners already using automation who want an agent to delegate repeat jobs across their everyday apps.

What an AI teammate does that a plain chatbot can't

A chatbot answers when you ask. An AI teammate or agent is set up to do a task for you: read an inbox, update a record, draft a summary. To do that, it needs permission to look inside your accounts and sometimes to change things in them. That's the heart of the decision, so it's worth slowing down on it.

• Triggers. Does the agent wait for you to ask, or start itself when an email arrives or a form is sent?
• Tools it can reach. Check the list of apps it connects to and whether yours are on it.
• Memory. Can it learn from your own documents, and where does that material sit?
• Hand-off. Can you step in halfway, or does it only report at the end?
• Team use. Can colleagues share an agent without sharing a login?

Checking what a Lindy-style agent can see and where your data goes

Before you connect anything, read what the tool says it can access in your email, calendar, files and customer records. Find out where your data and chats are stored, whether they're used to train models, and how you delete them. Those answers should sit in the privacy and security pages, and if you can't find them, that's worth knowing too.

Just as important, review what an agent will do before letting it act on your accounts. Start with a mode that drafts rather than sends, ask for approval on anything that goes to a customer, and test on a spare inbox or a dummy record first. Work out what you'd need to undo if it got something wrong, and switch off access you aren't using.

Questions to settle before you switch from Lindy

• Can I export what I've built, or will I be starting again from scratch?
• Which of my apps does the new tool connect to without extra work?
• Does the free option let me try a real task, or only a demo one?
• Who in my team can edit an agent, and who can only run it?
• How does it show me what the agent did, step by step?
• What happens to my data if I stop using it?

If you want a second pair of eyes on which jobs are safe to hand over, you can ask about working with an AI consultant in the UK.

Choosing a Lindy alternative by the way you work

• Solo owners and freelancers usually want something ready-made, with little to set up.
• Small teams tend to want shared agents, clear permissions and one place to see what ran.
• Sales and marketing people often care most about lead data and outreach preparation.
• Operations and support leads look for agents tied to company documents and ticket tools.
• Tinkerers prefer a builder where every step is visible and adjustable.

Jobs to hand to an AI teammate first, and jobs to keep

Good first jobs are the ones where a slip is low-stakes and easy to spot: summarising a meeting, sorting a shared inbox into folders, preparing a first draft of a reply, or tidying a spreadsheet. Keep anything that touches money, legal commitments or a customer's trust under your own eye until you've watched the agent work for a while. My notes on marketing tasks you should never automate may help you draw that line.

A simple routine helps. Run the agent on a small batch, read every result, and write down what it got wrong. Adjust the instructions, run it again, and only then widen it. Treat it like a new member of staff on their first week.

Why a smaller agent platform can be a sensible pick

Smaller platforms often focus on one kind of user and keep their menus short. That can make them quicker to learn than a tool that tries to do everything. The trade-off is that they may have fewer connections or a smaller community. Check that the product is being updated, read its help pages and try it on one low-risk job. This area moves fast: at least one automation tool I came across while researching has already closed, so look for recent activity.

Do you make an AI agent or workflow automation platform? Tool makers can ask to be considered for a featured place on this list.

A short checklist before you move on from Lindy

Pick two tools that match your most common job. Try each on the same small task, compare how clear the record of its actions is, and keep the one that leaves you most in control. Put a date in your diary to review it again.

Frequently asked questions

What is an AI teammate or AI agent?

It's software you give a job to, such as sorting an inbox or updating records, rather than a chatbot that only replies when you ask. It usually needs permission to connect to your other apps.

Why look for an alternative to Lindy?

People usually want a different balance of control, team features and connected apps, or a tool built around their own documents. Decide which of those matters most before you compare.

Is it safe to let an agent into my email and calendar?

It depends on what you allow. Read what the tool can access, where your data is stored and how to remove access, then start with drafts that you approve yourself.

Do I need to code to use these platforms?

Not for most of them. Many describe themselves as no-code, though some give technical users extra control. Check the help pages for the one you're considering.

Can an agent make mistakes?

Yes. Agents can misread an instruction or act on out-of-date information, so review what they do, especially anything that reaches a customer.