Lindy Alternatives

If you are weighing Lindy alternatives for your team, here is the short version before the detail below. By Vinay Patankar · about a nine minute read.

In this comparison, we cover everything you need to pick the right Lindy alternative, including:

• Lindy alternatives at a glance
• What counts as a Lindy alternative?
• How we compared these Lindy alternatives
• What matters most in an AI coworker for Slack?
• Which Lindy alternatives are the best right now?
• Where does Process Street fit with Lindy alternatives?
• How can you switch from Lindy without disrupting work?
• Final recommendation
• Try Dash free in Slack
• FAQs about Lindy alternatives

Lindy alternatives at a glance

The short version: Lindy is a strong assistant for inbox, calendar, meetings, notes, and follow-up work, so the best alternative depends on whether you want personal delegation or a shared AI coworker in team chat. If you want an AI teammate that works across Slack or Microsoft Teams and asks before it acts, Dash is the top pick. Lindy itself stays a good choice for individual assistant workflows. Gumloop, Glean Agents, Claude, Zapier Agents, and Dust each win a specific lane.

Tool	Best for	Standout feature	Free plan	Starting price
Dash	Teams that live in Slack or Microsoft Teams	Shared team memory with approval-first actions	$100 free credits	$50 per workspace per month after credit
Lindy	Individuals who want inbox, calendar, meeting, and follow-up help	AI assistant for email drafting, meeting scheduling, note taking, and follow-up	7-day free trial	Plus from $49.99 per month
Gumloop	Operators who want a visual AI workflow canvas	Unlimited agents, unlimited flows, connector policies, and guardrails	Yes, Free plan	Pro from $37 per month
Dust	Teams building shared agents on company data	Multiplayer agent workspace with tools and knowledge sources	Contact vendor	Contact vendor
Glean Agents	Enterprises with large knowledge bases	Enterprise context, agent builder, orchestration, governance, and library	Contact sales	Contact sales
Claude	Reasoning, writing, and analysis	Capable assistant for writing, analysis, and reasoning	Yes, free plan	From $20 per month
Zapier Agents	Broad cross-app automation	Agents that act across 9,000+ apps	Yes, free plan	Free plan, paid plans for more usage

What counts as a Lindy alternative?

A Lindy alternative is any AI assistant or AI coworker that can take on the personal delegation work Lindy handles, or move that work into a different team surface. Lindy focuses on inbox management, meeting scheduling, meeting notes, meeting prep, and follow-up work. The alternatives on this page either turn that assistant model into a shared chat coworker, move it onto a visual workflow canvas, center on company knowledge, or connect agents across a broader automation catalog.

The tools worth comparing fall into a few shapes. Some are AI teammates that live in chat and act across your stack, like Dash. Some are visual agent builders, like Gumloop. Some are collaboration platforms, like Dust. Some are enterprise search and agent platforms, like Glean Agents. And some are general assistants, like Claude, or agent layers on a broad automation platform, like Zapier Agents. The right pick depends on where your team works, how many people need the assistant, and how much control you want before it does anything on your behalf.

How we compared these Lindy alternatives

We compared each Lindy alternative against the same criteria, scored against each product’s current public documentation and pricing pages. Every price, plan, free-tier claim, and integration count on this page was checked against the vendor’s own site this week. Where a vendor does not publish a number, we say so instead of guessing. This comparison is built by the team at Process Street, and Dash is our own product, so we held it to the same criteria as everyone else and wrote an honest case for each competitor.

What matters most in an AI coworker for Slack?

Six things separate a genuinely useful AI coworker from a demo. Weigh them against how your team actually works before you pick.

• Where it works: a tool that lives in Slack and Microsoft Teams reaches the whole team where they already talk. An email-only or browser-only assistant helps one person at a time.
• Model neutrality: some assistants are locked to one model. Others can use whichever model fits the task, which matters as models keep changing.
• Connections: the assistant is only as useful as the tools it reaches. Count the integrations that matter to you, not the raw total.
• Finished output: does it hand back a real draft, report, or updated record, or just a chat answer you still have to act on?
• Shared context: a team-wide memory means everyone benefits when one person teaches the assistant something. Per-user memory does not.
• Control: the safest assistants ask for approval before they send, post, write, or spend, so a mistake is caught before it leaves the building.

Lindy scores well when one operator wants broad personal assistant help. The alternatives that beat it for chat-first team work are the ones that spread context across people, tools, and approvals without keeping the assistant scoped to one person’s inbox and calendar.

Which Lindy alternatives are the best right now?

Each deep dive below covers what the product is built for, the moment where it shines, and the realistic constraints to know before you buy. Dash is ranked first because it is the best fit for a team that wants an AI coworker in chat. Lindy is ranked second as the direct benchmark, then the peer set follows with the lane where each one beats Dash.

1. Dash

Best for: teams that live in Slack or Microsoft Teams and want an AI coworker that acts with guardrails.

Dash is an AI teammate that lives inside Slack and Microsoft Teams, connects to over a thousand tools, and does the work end to end. You ask in plain English in a channel or direct message, and Dash builds the report, drafts the message, pulls the numbers, or books the follow-up. It asks before it sends anything outbound, and the team’s context stays in the workspace rather than on one person’s machine. Where Lindy is closer to a personal assistant for inbox and calendar work, Dash is an AI teammate for the whole team’s work.

Two things set Dash apart from most entries on this list. First, it carries a shared team memory. When the head of operations tells Dash that the company calls its top deals “Tier A”, every other person on the team gets that context for free. Second, Dash treats approval as a first-class step: an Approve and a Hold button appear on every outbound action by default, so you never have to remember to wire up a guardrail per task. That approval-first design is the difference between an assistant you can trust with real work and one you have to double-check every time.

Where Dash is honestly weaker: Lindy is more directly tuned to one person’s assistant work across inbox, meetings, notes, and follow-ups. If that is the job, Lindy is the direct benchmark. For a team that works in chat and wants shared context plus control over what the assistant does, Dash is the default choice because the approval step is part of the teammate experience.

2. Lindy

Best for: individuals who want assistant help across inbox, calendar, meetings, and follow-ups.

Lindy is the direct benchmark for this page. Its pricing page lists a 7-day free trial, Plus, Pro, and Max plans, plus assistant work across inbox management, meeting scheduling, meeting notes, meeting prep, and follow-up. Lindy is strongest when one person wants a broad AI assistant to reduce coordination work across email and meetings.

The honest trade-off is team surface. Lindy is better than Dash when the buyer wants a personal assistant for inbox, calendar, notes, and follow-ups. Dash is better when the team wants to work in Slack or Microsoft Teams, ask in plain English, and have the AI coworker pause before it posts, sends, writes, or spends. Stay with Lindy if your core need is individual delegation. Move to Dash if your core need is a shared teammate in chat.

3. Gumloop

Best for: operators who want a visual canvas for AI workflows and agent flows.

Gumloop is a visual AI agent builder where teams can create agents and flows, start on a Free plan with 5k credits per month, and move to Pro for more credits, unlimited seats, connector policies, guardrails, unified billing, and MCP server hosting. The product is strongest when the team wants to see and control the flow logic rather than simply ask a teammate in chat.

Gumloop beats Dash when the buyer wants a builder canvas, connector policies, and explicitly designed flows. Dash is better when the team wants to work in chat, ask in plain English, and have the AI coworker pause before it posts, sends, writes, or spends. Choose Gumloop if visual workflow construction is the priority. Choose Dash if the priority is a shared teammate in Slack or Microsoft Teams.

4. Dust

Best for: teams building shared agents on company data.

Dust describes itself as a multiplayer AI platform for human-agent collaboration. Its docs focus on agents that use tools and knowledge from company data sources, including actions such as search, structured extraction, and data-source-specific work. Dust is a strong fit when the team wants shared internal agents that operate with company context.

Dust beats Dash when the job is collaborative internal-agent building around company data sources. Dash beats Dust when the buyer wants an AI coworker in Slack or Microsoft Teams with simple approval-first action across everyday business tools. If your core question is who should act in team chat this week, start with Dash. If your core question is how to build a shared internal agent workspace, Dust deserves the shortlist.

5. Glean Agents

Best for: enterprises with large internal knowledge bases.

Glean Agents sit on top of Glean’s permissions-aware enterprise search. The original product made every internal document searchable from one bar; the agent layer runs the same retrieval first and then takes action on company context. Glean’s platform page describes agent builder, orchestration, governance, library, and an agentic engine for enterprise work. For a large company with many document and system silos, Glean is the most natural enterprise fit on this list.

Glean and Dash sit in different lanes, and Glean beats Dash when the core need is governed search across a huge internal knowledge base with audit and permissions at scale. Dash is built for a team that ships next week in chat with one plan; Glean is built for the large enterprise with a dedicated knowledge team. Glean’s pricing reflects that audience: contact sales, with no self-serve trial. If you are under a few hundred people, Dash is usually the faster path; at true enterprise scale, Glean earns its place.

6. Claude

Best for: reasoning, writing, and analysis.

Claude is Anthropic’s AI assistant, and it is excellent at writing, analysis, research, and agentic development help. It is available on the web and as apps, offers a genuine free plan, and its paid Pro plan starts from $20 per month. Claude beats every other tool on this list when the job is pure reasoning: reading a long document, comparing options, or drafting careful prose where the quality of the thinking is what matters.

The difference from an AI coworker like Dash is scope and surface. Claude is a superb general assistant, but on its own it is not a team teammate wired into your stack with a shared memory and approval buttons on outbound actions. Many teams use both: Claude for the reasoning-heavy thinking and a chat-based coworker for the day-to-day actions across tools. If your main need is a smart assistant for analysis and writing, Claude is a top choice.

7. Zapier Agents

Best for: broad cross-app automation across many tools.

Zapier Agents are AI agents that act across the Zapier automation platform, which reaches 9,000+ apps, the widest catalog on this list. You equip an agent with company knowledge and let it work across your connected apps. There is a free plan to start, with paid plans for higher usage. For a team that already runs on Zapier, layering agents on top of a mature automation library is a natural step.

Zapier Agents beat Dash on raw app breadth, since the Zapier catalog is larger than any single coworker’s. The trade-off is that the home is the automation builder, not a chat teammate with shared memory, and the approval and context experience is what you build into each automation rather than a first-class flow. If breadth of connected apps is your top priority, Zapier Agents are hard to beat; if you want a coworker that acts in chat with control by default, Dash fits better.

Where does Process Street fit with Lindy alternatives?

Process Street is not itself a Lindy alternative, and it does not belong in the ranked list above. It is the operational system that sits underneath an AI coworker and captures the repeatable work the coworker kicks off. When Dash or any assistant in chat starts a task, the checklist, the owner, the approval, the risk note, and the record of what was done still have to live somewhere durable. That is the job Process Street does, in two layers.

• Ops for workflow automation and orchestration. Process Street Ops turns recurring procedures into automated, auditable workflows, so the work an AI coworker starts becomes a repeatable process with owners and steps rather than a one-off chat.
• Docs for document and policy control. Process Street Docs is the governed home for SOPs and policies, so the assistant and the team are always acting on the current, approved version.
• Built-in AI and automations. The automation layer connects those workflows to the rest of your stack, and pricing scales with the team on the pricing page.

The pattern that works well is simple: let the AI coworker act in chat, and let Process Street hold the process underneath so the same work runs the same way every time. Common shapes that benefit from the pairing include a customer onboarding workflow, an employee onboarding checklist, a standard operating procedure template, and a clear approval process for anything that needs a sign-off.

For teams going deeper on this topic, useful starting points are a guide to building a workflow management system, a plain-English explainer on what AI agents are, a roundup of the best AI ops tools, and a broader overview of customer onboarding.

How can you switch from Lindy without disrupting work?

You do not have to rip anything out to try a Lindy alternative. Every option here can run alongside what your team uses today, so the safest move is a short pilot rather than a hard cutover. The pattern that works is two weeks, one team, one channel, both tools live, and the same five real asks run through each.

• Keep Lindy for personal assistant work: if inbox, calendar, meeting notes, and follow-up help is working, leave that in place and add a team coworker for chat questions and cross-tool actions.
• Pilot Dash in Slack: install it as a separate app, connect the two or three tools the team uses most, and run a real ask in the first hour. Compare the finished output, not the demo.
• From an assistant tool: keep the Lindy routines you already trust, and let a chat coworker handle the shared team asks that do not belong in one person’s inbox or calendar.
• From an enterprise platform: Glean’s search is hard to replace, so keep it for retrieval and bring a coworker in for action. They serve different layers.
• Anchor the process: whichever assistant you keep, put the recurring work into a Process Street workflow so the steps, owners, and approvals stay consistent no matter which tool starts the task.

Final recommendation

For most teams shopping for a Lindy alternative, the default is Dash: an AI coworker in Slack and Microsoft Teams that connects to over a thousand tools, carries a shared team memory, and asks before it sends, posts, writes, or spends. It is the best fit when you want the whole team to get help where they already work, with control built in.

Choose a different tool when its lane is your priority. Stay with Lindy if the job is personal assistant work across inbox, meetings, and follow-ups. Pick Gumloop for visual AI workflow construction, Dust for shared company-data agents, Glean Agents if you are an enterprise with a huge governed knowledge base, Claude if you mainly want a reasoning and writing assistant, and Zapier Agents if raw breadth across thousands of apps matters most. The real question is where you want work to become controlled and repeatable, and for a team in chat, that is where an approval-first coworker earns its place.

Try Dash free in Slack

If Dash sounds like the right Lindy alternative for your team, the setup is quick. Add it to a Slack workspace, point it at the tools your team uses, and have it run a real ask in the first hour, with an approval step on anything it sends.

FAQs about Lindy alternatives