AgentOS vs Dust: agents your team builds, or one memory every AI tool shares?

Updated October 12, 2026 · by Ashtin Dowler · 8 min read

Dust is a workspace where your team builds and shares AI agents that know your company. AgentOS is the shared memory that every AI tool you already use can work from. The two are close cousins, and both connect to your company's knowledge. In Dust, the work happens inside Dust: you build agents there and your team chats with them there. AgentOS puts your knowledge underneath Claude, ChatGPT, Cursor and your own agents, and runs the workflows you describe in plain language. If you want one home for custom agents, Dust is a strong choice. If you want the tools you already use to know the business, AgentOS fits better.

AgentOS vs Dust at a glance

Dust details come from dust.tt and Dust's documentation, checked October 12, 2026. Dust lists prices in euros and bills AI use in credits. Check the sources below before you buy.

What does Dust do well?

Dust is one of the most thoughtful products in this space, and it solves a real problem: giving a whole team AI agents that know the company. You connect sources like Google Drive, Notion, Slack and Salesforce, and they stay in sync, usually within a few minutes.

Building an agent doesn't take code. You describe what you want, and a helper called Sidekick drafts the instructions, picks tools and suggests a model. Nothing changes until you accept it. Agents are shared across the team, which is where the "multiplayer" idea comes from.

It's flexible about models, with more than twenty to choose from across the main providers and none held back for a higher plan. It's careful about actions too: each tool can be marked high stake, so a person approves the call before it runs. Dust is SOC 2 Type II compliant and offers hosting in the US or the EU.

Where does Dust fall short?

Dust works best when your team moves into Dust. The agents live there, and so does the conversation. That's fine if everyone adopts it. It's less helpful for the person who does their work in Claude, ChatGPT or Cursor and wants that tool to know the company.

Dust does offer an MCP server, so other tools can reach its agents and search its Spaces. It's a bridge to what's inside Dust, and the agents are still the centre.

Someone still builds the agents. Sidekick helps a lot with the first draft. Dust's own documentation says it can't yet set up triggers or build multi-agent workflows, so the more involved setups need a person who knows the product.

Cost takes some tracking. Seats come with a monthly allowance of credits, and each message uses credits depending on the model and the tools involved. Unused credits don't roll over. Dust's analytics show credit use in detail, in credits and not in money, and only for Dust.

How is AgentOS different?

AgentOS starts from the same belief as Dust, that AI is far more useful once it knows your company, and puts that knowledge in a different place: underneath your tools, not inside one of them.

You connect Gmail, Slack, Google Drive, your CRM and the rest once. AgentOS keeps one shared, current picture of the business. Claude, ChatGPT, Cursor and your own agents connect to it over MCP, so the person in ChatGPT and the person in Claude get the same answer about the same client, with a link back to the email, call or document it came from.

For recurring work, you describe the job. "Every Friday, summarise what changed on each client account and send it to the account owner." Otto, the agent built into AgentOS, builds the workflow and runs it on a schedule. Important changes to your systems wait for a person to approve them.

And because every tool draws on the same place, you get one view of AI use and spend across all of them.

Should you choose Dust or AgentOS?

Choose Dust if you want a single home where your team builds and shares custom agents, and you're happy for most AI work to happen there.

Choose AgentOS if your team has already picked its AI tools and you want them all to know the business, if you'd like workflows nobody has to build, or if someone needs to see what AI costs across every tool.

Both are a big step up from each person pasting company background into a chat window.

What about other Dust alternatives?

The names that come up most are Glean, Relevance AI, Lindy, Gumloop and n8n. We've compared several directly: AgentOS vs Relevance AI, AgentOS vs Lindy and AgentOS vs n8n. For the larger-company option, see AgentOS vs Glean.

For the idea all of these products share, read what a context layer is. For the money side, see how to manage AI costs.

Questions people ask

Sources

• Dust homepage
• Dust pricing
• Dust security
• Dust integrations
• Dust docs: Agent Builder Sidekick
• Dust docs: connections
• Dust docs: tools
• Dust docs: Dust MCP server
• Dust docs: workspace analytics

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