Maito vs Dust

Is Dust the same as Maito?

No. Dust is a platform where teams build, share, and run many specialized agents, with an admin model for company AI and pricing per seat. Maito is one ready AI teammate the whole company works with, for code and business work.

Both work in Slack, use your company's data and tools, run on schedules and webhooks, and execute code. The question is whether your company wants to operate a catalog of agents or share one teammate. Maito costs $149 per workspace per month with unlimited people, plus your AI provider's usage and any cloud credits beyond the included $20. Dust Pro costs €30 per seat per month.

What is Dust?

Dust is a platform for building agents from company knowledge, tools, models, and skills, and running them in a shared workspace and in Slack.

Teams build agents for work such as ticket triage, account research, analytics, and CRM updates, with more than 20 models and more than 70 connectors. Pods hold shared conversations, tasks, files, and artifacts, and admins control data and agent permissions, spending, and audit logs.

Its Computer tool gives agents a temporary workspace to run code, analyze data, and edit spreadsheets, slides, and documents.

Sources: Dust, Dust Pods, Dust Computer

And what is Maito?

Maito is one AI teammate your company names and shares, ready to work once your tools are connected, in Slack and in Claude, ChatGPT, Cursor, Codex, Grok, and Muse.

Nobody designs an agent for each job. Anyone in an invited channel asks, the team joins the thread, and good results become skills and Loops. Coding tasks run in their own sandboxes with your checks and a pull request.

Sources: How Maito works

How do Maito and Dust compare at a glance?

Dust gives teams the tools to build and govern many agents. Maito gives the company one teammate that's ready for business work and product changes, at one workspace price.

Do you have to build agents with Dust?

Yes. In Dust, a team builds an agent for a job by choosing its knowledge, tools, model, and skills, and someone maintains it. In Maito, one teammate takes the work as people ask for it.

That's Dust's strength for a company that wants many specialized agents under central governance. Reviewers like how easily agents are built and how many models they can use, and some ask for easier ways to find past conversations.

Sources: Dust on G2

Does Dust's Slack bot work the same way as Maito?

Not exactly. Dust's Slack bot, its Slack data connection, and its Slack action tools are three separate things to set up. Maito joins Slack as one teammate that anyone in an invited channel can mention.

In Dust, people mention an agent in a channel or a DM, and a channel can have a default agent or reply automatically. Connecting Slack as a data source doesn't install the bot.

Sources: Dust in Slack

What do Maito and Dust do with a business task?

Maito does business tasks in Slack with your tools and what it knows about your company. In Dust, the agent a team built for that job does it.

#support-ops

Tariq1:10 PM

@Maito how many tickets this month were about the mobile app login, and are they getting faster or slower to resolve?

MaitoAPP1:18 PM

212 tickets, up from 140 last month. Median resolution went from 3 hours to 9, mostly because 80 of them waited for an engineer. Most are the same error after the 4.2 update. Want me to look at the login code next?

Example complete

And what do Maito and Dust do when a customer reports a bug?

Dust agents can run code, create GitHub issues, and review pull requests. Maito takes the bug from the report through a fix in your repository, with tests, QA, a pull request, and the customer reply.

#support-ops

Tariq1:20 PM

Yes, please.

MaitoAPP1:47 PM

The 4.2 app sends the login token before the clock sync finishes, so phones with a skewed clock get rejected. Recording from the emulator attached. PR #577 waits for the sync and adds a test with a five-minute skew. Checks pass. I drafted a reply for the 212 tickets with a workaround until the app update ships.

Example complete

Sources: Dust GitHub tools

Do Maito and Dust both remember your company?

Dust shares company data, Pod conversations, and skills, while its Agent Memory tool is private to each user and agent. Maito learns company facts from shared threads for everyone and keeps personal memory for each person.

Maito remembers things like a pricing rule or how a feature behaves, and uses them in later conversations, code and business alike. Private conversations don't teach the company unless someone asks to share a fact.

Sources: Dust Agent Memory, Maito FAQ

What do Maito and Dust cost?

Maito costs $149 per workspace per month with unlimited people, plus your AI provider's usage and any cloud credits beyond the included $20. Dust Pro costs €30 per seat per month, or €24 billed annually, so ten Pro seats cost €240 to €300 a month before tax.

Dust lets you mix seat types, so an admin can sit on a free seat and heavy users on Max. Overage can be turned on with a cap.

Sources: Dust pricing, Dust seats

When is Dust enough?

Dust is enough when your teams want to build and govern many specialized agents themselves, and code work stops at analysis, issues, and reviews.

So should you choose Maito or Dust?

Choose Maito for one ready AI teammate that handles business work and product changes, at one workspace price. Choose Dust if your teams want to build many specialized agents under central governance.

Take one support question that turns into a product fix. Run it with a Dust agent and with Maito, and count the steps and people each one needed.