Best Lindy alternatives for teams in 2026

Lindy's docs describe it as an AI employee that lives in your Slack. Every employee gets an assistant for email, meetings, and scheduling in their DMs, and the team can mention Lindy in shared channels to build reports, update the CRM, or research a question. It also works over iMessage and in a Chrome extension for Gmail.

Most of Lindy is organized around each person's assistant. Skills come in personal, team, and built-in versions, and team skills are managed by workspace admins. Anyone can create personal routines, but only admins can create workspace routines that run for the whole team. Team memory files are read-only for regular members.

That works well for giving each person time back. It fits less well when a team wants to build automations together, see every run, and improve shared rules without going through an admin.

These are different kinds of product. Lindy and type.com are where people ask AI to do work. Relevance AI and Gumloop are for building and running agents. Zapier, Make, and n8n are workflow automation with AI agents added. Pick the category first, then the tool.

For a wider look at agent workspaces, including Viktor, Glean, and Claude Cowork, see our guide to the best AI agent platforms for teams.

A Space is a shared computer for a team, running Claude or Codex. You connect tools such as HubSpot, Shopify, or Google Drive once, and every thread and automation in the Space can use them. Threads are visible to everyone with access unless they are private, so a coworker can read the full context and continue the work.

Your team's rules live in shared skills. The creator and admins can edit a skill, and any other member can suggest a change that the owner reviews, so the person closest to the work can improve the rules without needing admin rights.

Automations are written in plain language: a trigger, instructions, and a destination channel. They start from a schedule, a webhook, email, RSS, Slack, or events from apps such as GitHub and Linear. AI can also build documents and internal apps that stay in the Space's Library.

If your team lives in Slack, you can map Slack channels to a Space and work with type.com from there. Private work goes in Sidekick, which uses your own connections. You can also connect an existing Claude or ChatGPT subscription so your runs do not draw down the workspace's AI allowance.

Where Lindy is stronger: it records and summarizes meetings into a shared library, triages and drafts in each person's inbox, and can be reached over iMessage. type.com does not record meetings or offer iMessage access, and Sidekick is a private place to work with AI rather than an inbox manager.

A Lindy routine has a trigger, a prompt, and a destination, and so does a type.com automation. The difference is where it lives: the automation belongs to a Space, and its runs post to a channel the whole team can see.

New automations are created paused. Select Test to run it in a private thread, check the tool calls, then enable it. Scheduled automations run with the creator's connections, and type.com pauses one after three consecutive failed runs and mentions the creator in the run thread.

In the example, a fictional sales team runs the sweep every Monday. On October 5 it finds three stalled deals and drafts a nudge for each owner. Jordan asks for a pilot offer in one draft, and the AI updates it there. The manager reads the same thread without anyone forwarding it.

Before an automation sends email or changes CRM records, set up approval workflows for AI agents, and keep the instruction to draft rather than send until the team trusts the output.

Relevance AI positions itself around building specialist agents for every task, such as a pre-meeting prepper, a post-call actioner, or a deal reviewer. Its Invent builder helps teams turn their processes into agents, and an embedded deployment team helps get the first agents live, with evaluation, monitoring, and governance.

Its pricing page lists an Enterprise plan through sales, with unlimited users, 2,000+ integrations, agent evaluations, A/B testing, and SSO, RBAC, and audit logs.

Where it is stronger: hands-on deployment help and evaluation tooling for many agents in production. For small teams, there is no published self-serve price, and it is built for agent programs rather than day-to-day teamwork.

Gumloop is built to build, share, optimize, and control agents. Agents can be mentioned in Slack and Microsoft Teams, use shared company data, and run alongside Gumloop workflows.

On its pricing page, Pro starts at $37 per month with 20,000 credits, unlimited seats and teams, shared credentials, 35+ models, the option to bring your own API keys, and an 8% orchestration fee. There is a 14-day free trial.

Where it is stronger: unlimited seats and bring-your-own-key options make wide rollouts easy. type.com differs by being the workspace where the team's conversations, documents, and apps live, not a builder you deploy agents from.

Zapier Agents work across 9,000+ apps, with Copilot to help set them up. Each trigger, action, search, or knowledge lookup counts as an activity: 400 a month on Free and 1,500 on Pro. Agent sharing is listed for Enterprise only, and Zapier notes it is moving Agents to AI by Zapier.

If you are weighing Zapier for AI automations in general, read our Zapier alternative guide.

Make lets you build AI agents inside the Make canvas and orchestrate 3,000+ apps. On its pricing page, each module action counts as one credit, the Free plan includes 1,000 credits a month, and team roles and shared templates come with the Teams plan.

n8n prices hosted plans by workflow executions with unlimited steps, includes agents, MCP, and AI nodes, and can be self-hosted. For technical teams that want to own the infrastructure, that is a real advantage. For the full comparison, see our n8n alternative guide.

Lindy bills every active user from $29.99 per user per month for 3,000 credits, pooled across seats. Everyday asks use 2 to 250 credits and big builds up to 2,500. Anyone who mentions Lindy in Slack takes a seat.

type.com plans start with type.com Basic at $50 per month for two members and $100 of AI usage, and type.com Pro at $100 per month for four members and $200. AI usage is metered at the model provider's published rates, and runs through a connected Claude or ChatGPT subscription are not metered against the workspace.

If most requests start with 'my inbox' or 'my calendar', Lindy is built for that. Its meeting recorder, email drafting in your voice, and iMessage access cover personal work a team workspace does not try to replace.

Lindy also lists 1,000+ integrations and MCP support, approval buttons for write actions in shared Slack threads, and SSO, SCIM, audit logs, and HIPAA with a signed BAA on Enterprise. Note that its guardrails apply in shared Slack threads, not in DMs, the web app, or iMessage.

Many teams use both: a personal assistant for each inbox and calendar, and a shared workspace for work the team owns together.

Ask three questions. Who reads the result? If several people do, it should land where the team can see it. Who maintains the rules? If it is the people doing the work, they need to edit or suggest edits without an admin. How should cost grow: per user, per plan, or per run? For more on shared context, see shared AI memory for teams.

A good first test is one recurring job the team already does by hand, such as a weekly pipeline sweep or a weekly team report. Build it in the tool you are evaluating, run it for two weeks, and see who actually reads and uses the result.