The best no-code AI agent builders, and who should do the building

The short answer

Decide who will build and maintain the agents before you pick a builder. If one person will own them and wants to describe each agent in plain language, look at the prompt-first platforms like Lindy and Relevance AI. If the work is a fixed sequence of steps between apps, a visual canvas like n8n, Zapier or Make will be more predictable. If many people across the company should each build their own, look at a team builder like Dust. And if nobody on the team wants to build anything, a builder is the wrong purchase.

At a glance

The list

1. 1. Lindy

   Checked 2026-09-02

   A hired employee, or agents you build yourself.

   Choose it if

   • You like building automations and want full control over every step and prompt.
   • Your needs are mostly personal productivity: your inbox, your calendar, your meeting notes.
   • You want an agent that handles voice calls as part of the flows you build.
   • You have someone on the team who will own and maintain the agents over time.
   The full comparison with Lindy

2. 2. Relevance AI

   Checked 2026-09-02

   A hired employee, or an agent-building platform.

   Choose it if

   • You have a technical operator who wants to design and own a multi-agent system.
   • Your use case is high-volume revenue operations with many defined handoffs.
   • You need enterprise controls and a builder with room to grow into.
   The full comparison with Relevance AI

3. 3. n8n

   Checked 2026-09-04

   A hire you brief, or a workflow you build and host.

   Choose it if

   • You have someone who enjoys building workflows and will still be there in six months to maintain them.
   • You need the work to run on infrastructure you control, which the self-hosted community edition genuinely gives you.
   • The process is fixed and precise, and you want to see every branch of it on a canvas.
   • You want to pay by executions rather than by seats, which for a small team can be very cheap.
   The full comparison with n8n

4. 4. Zapier Agents

   Checked 2026-09-04

   A colleague you brief, or a behaviour you configure.

   Choose it if

   • Your business already runs on Zapier and the connections you need are wired up.
   • The work has a clear trigger and a clear shape, which is exactly what a trigger-based platform is best at.
   • You want the very large app catalog Zapier has built over more than a decade.
   • You are comfortable configuring a behaviour rather than briefing a colleague.
   The full comparison with Zapier Agents

5. 5. Make

   Checked 2026-09-04

   A scenario you draw, or a job you describe.

   Choose it if

   • You want to see the whole process laid out visually, and you find that clearer than a written brief.
   • The process is stable, and the value is in it running identically every time.
   • You have unlimited people who need access, which Make does not charge extra for.
   • You want fine control over exactly which module runs when, including the error paths.
   The full comparison with Make

6. 6. Dust

   Checked 2026-09-04

   One hire the team shares, or a seat for everyone who builds agents.

   Choose it if

   • You have people who want to build agents, and equipping each of them is the point.
   • Grounding answers in a large body of company knowledge is the main job.
   • You want to mix seat tiers so heavy users get more model access than light ones.
   • Your headcount is stable enough that per-seat pricing is predictable for you.
   The full comparison with Dust

7. 7. Tasklet

   Checked 2026-09-04

   A hire with a job, or an agent you build per task.

   Choose it if

   • You think in tasks and want each one set up and running quickly.
   • You want to buy extra credits in a busy month rather than move up a plan.
   • Most of your work is in tools with no API, where a browser-driving agent is the whole point.
   • You prefer working in a dedicated app rather than inside your chat tool.
   The full comparison with Tasklet

8. 8. Sanaf AI Solutions

   Checked 2026-09-04

   Not a builder: an employee you hire once and hand jobs to, for teams with nobody to build.

   Choose it if

   • Nobody on the team wants to design, test and maintain agents, and you would rather describe the work than draw it.
   • You want the work to happen in Slack or Microsoft Teams, not in a builder someone has to open.
   • You want it to ask before anything it cannot undo, with a record of what it did.
   • You would rather pay for work done than for a builder seat per person.
   What it does, and the jobs it takes

Questions

Is a no-code AI agent builder really no-code?

For building, largely yes: you write instructions and connect apps instead of writing software. The work that remains is the same work any software needs, which is deciding what the agent should do, checking it did it, and fixing it when an app or a process changes.

What is the difference between an agent builder and a workflow automation tool?

A workflow tool runs the steps you drew, in the order you drew them. An agent builder lets a model choose some of the steps as it goes. The line between the two is blurring, so the useful question is how much of the path you want to fix in advance.

Who should own the agents once they are built?

One named person, in every case. Agents break when the apps they touch change, and a builder with no owner produces agents that quietly stop working. If there is nobody to name, buy something that holds the work rather than something you build on.

Do any of these builders run on our own servers?

n8n does: its community edition can be self-hosted, and its comparison links the pages that say so. For every other entry, the comparison sets out where that product runs, so check it there rather than assume.