Dust Alternatives

If you are comparing Dust alternatives, the core question is not which AI tool looks most impressive in a demo. The question is where your team wants AI work to happen, how much company context the assistant can use, and what happens before the assistant sends, posts, writes, or spends. By Vinay Patankar · about a nine minute read.

In this comparison, we cover the practical decision points for Dust alternatives, including:

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

Dust alternatives at a glance

The short version: Dust is a strong multiplayer AI workspace for teams that want people and agents collaborating around company knowledge. Dash is the best first choice when the job is a shared AI coworker in Slack or Microsoft Teams that connects to work tools and asks before risky actions. Dust remains the direct benchmark at #2, while Gumloop, Lindy, Glean Agents, Claude, and Zapier Agents each win a narrower use case.

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
Dust	Teams building shared agents on company data	Multiplayer workspace for people and agents	Trial path shown	Pro from $24 per seat per month, billed yearly
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
Lindy	Individuals who want inbox, calendar, and meeting help	AI assistant for email drafting, meeting scheduling, notes, and follow-up	7-day free trial	Plus from $49.99 per month
Glean Agents	Enterprises with large knowledge bases	Agent builder, orchestration, governance, library, and enterprise context	Contact sales	Contact sales
Claude	Reasoning, writing, and analysis	Capable assistant for careful thinking and drafting	Yes, free plan	Pro from $20 per month
Zapier Agents	Broad cross-app automation	AI teammates that work across 9,000+ apps	Yes, free plan	Free plan, paid plans for more usage

What counts as a Dust alternative?

A Dust alternative is any AI coworker, agent workspace, or assistant platform that can take on one of Dust’s main jobs: collaborate with people, use company knowledge, operate across tools, and help the team produce work. That definition includes chat-native teammates, visual agent builders, enterprise search agents, general assistants, and automation platforms with agent layers.

The important split is surface. Dust centers a multiplayer workspace where people and agents share knowledge, tools, conversations, and notifications. Dash centers Slack and Microsoft Teams. Gumloop centers a visual flow canvas. Lindy centers personal assistant work. Glean centers enterprise knowledge and governance. Claude centers reasoning. Zapier Agents center a broad app catalog. The right alternative is the one whose center matches where your team already works.

How we compared these Dust alternatives

We compared each tool against the same criteria and checked every material pricing, plan, integration, and feature claim against a primary source this run. Where a vendor does not publish a detail, the table says contact sales or uses a softer description rather than guessing. This comparison is built by the team at Process Street, and Dash is our own product, so the ranked list states where competitors are stronger as well as where Dash fits best.

• Team surface: Does the assistant work where the team already collaborates, or does it require a separate workspace?
• Context model: Does it learn shared team context, search company data, or mainly help one user?
• Action safety: Does it ask before outbound or costly actions, or does the team need to design those controls separately?
• Connector coverage: Does it reach the tools that matter, not just a long abstract catalog?
• Workflow handoff: Can the output become a repeatable process with owner, approval, and evidence?
• Buyer fit: Is it built for founders, operators, enterprise IT, individual productivity, or automation builders?

What criteria matter most for AI coworkers in Slack?

A useful AI coworker has to go beyond chat. It should understand team context, reach the systems where work lives, produce finished output, and stop before it takes a risky action. That is why the best Dust alternative for one team may not be the best for another. A product team building shared internal agents may value Dust. An operator who wants help in Slack may value Dash. An enterprise knowledge team may value Glean.

The practical buying test is simple: ask the tool to do five real tasks from last week. One should require company context. One should require a tool connection. One should produce a draft. One should require an approval. One should hand work into a repeatable process. The tool that finishes those tasks with the least supervision is the one that will survive beyond the pilot.

Which Dust alternatives are the best right now?

The ranked list below starts with Dash because the page is for teams looking for an AI coworker that can act in chat with control. Dust is ranked second as the direct benchmark named in the search. The remaining tools are ordered by how often they come up in the same AI coworker, agent workspace, and automation evaluation.

1. Dash

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

Dash is an AI teammate that lives inside Slack and Microsoft Teams, connects to 3,000+ tools, learns the team’s working context, and ships work with an approval step before anything risky happens. Ask it to draft a customer follow-up, pull a revenue snapshot, prepare a meeting brief, or update a record, and it does the work where the team already talks.

The strongest reason to choose Dash over Dust is workflow fit. Dust is built around a multiplayer AI workspace. Dash is built around the chat surface your team already has open all day. That matters because adoption usually fails when the assistant becomes another destination. Dash can join the existing channel, remember the team’s context, and ask for approval before it sends, posts, writes, or spends.

Dash is also easier to reason about for operational work. Approval-first behavior is not a custom control the team has to remember to design. It is the default. Read-only work can happen directly; mutating work comes back to the team for a decision. That makes Dash a better default for founders, operators, and department leads who want an AI coworker helping the team without turning every action into an uncontrolled automation.

Where Dash is weaker: if you want a separate shared workspace for designing many internal agents around company data sources, Dust is the more natural benchmark. If you want a visual canvas, Gumloop is better. If you want enterprise search governance across a very large company, Glean deserves a serious look. Dash wins when the priority is a practical AI teammate inside chat, with broad tool reach and approvals built in.

• Lives in Slack and Microsoft Teams rather than forcing work into a separate workspace.
• Learns team context so repeated explanations become unnecessary.
• Connects to 3,000+ tools for everyday business work.
• Asks before sending, posting, writing, or spending.
• Best default for teams that want a chat-native AI coworker rather than an agent-building platform.

2. Dust

Best for: teams building shared agents around company data and team collaboration.

Dust is the direct benchmark for this page. It positions itself as a multiplayer AI platform for human-agent collaboration, where people and agents share access to knowledge, tools, conversations, and notifications. Its documentation emphasizes agents that can search selected data sources and tap relevant documents to answer questions.

Dust is strongest when the team wants an internal agent workspace. It suits teams that want to build assistants around company knowledge, coordinate with agents as collaborators, and centralize AI work in a shared environment. If your evaluation starts with company data sources and agent collaboration, Dust belongs at the top of the shortlist.

The trade-off is that Dust is not primarily a Slack-first or Teams-first coworker. It can be the shared AI workbench, but it may not be the lightest way to get a teammate helping in the chat surface where the team already works. Dash is better when the priority is approval-first work inside chat. Dust is better when the priority is a dedicated workspace for human-agent collaboration.

3. Gumloop

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

Gumloop is the best Dust alternative when the buyer wants to design agent behavior visually. Its pricing page lists a Free plan, a Pro plan starting at $37 per month, unlimited agents and flows, plus paid controls such as connector policies, guardrails, and MCP server hosting.

Gumloop beats Dash and Dust when the buyer wants a builder surface. It is easier to inspect a visual flow, explain a branch, and manage builder-level controls when the canvas is the main product surface. The trade-off is maintenance. A visual system still needs someone to own the flows, update them, and decide when a conversational ask should become a fixed automation.

4. Lindy

Best for: individual assistant work across inbox, meetings, calendar, and follow-ups.

Lindy is closer to an AI executive assistant than a shared agent workspace. Its pricing page lists inbox, meetings, calendar, follow-ups, email drafting, meeting scheduling, note taking, meeting prep, and 100+ integrations on the Plus plan. Pricing starts with Plus at $49.99 per month after a 7-day free trial.

Lindy beats Dash and Dust when one person wants personal leverage around daily coordination. It is a strong choice for an operator who wants help managing meetings, messages, and follow-ups. Dash is stronger when the assistant needs to work as a shared teammate in chat. Dust is stronger when the team wants a workspace for shared agents and company knowledge.

5. Glean Agents

Best for: enterprises with large internal knowledge bases and permissions needs.

Glean Agents are part of Glean’s Work AI platform connected to enterprise data. Glean describes agent builder, orchestration, governance, library, and an agentic engine as part of its agent platform. That makes it a stronger enterprise-search and knowledge layer than a lightweight chat coworker.

Glean beats Dash and Dust when the main problem is governed access to a large company’s knowledge base. It is built for organizations where permission-aware search, security review, and enterprise rollout matter more than quick team adoption. Dash will usually be faster for a small team in Slack. Glean deserves the shortlist when IT, knowledge management, and governance own the decision.

6. Claude

Best for: careful reasoning, writing, and analysis.

Claude is Anthropic’s AI assistant for writing, analysis, and reasoning. Anthropic’s help center lists Claude Pro at $20 per month in the United States. Claude is the best tool here when the job is to think through a document, draft careful prose, compare options, or reason through a complex question.

Claude is not a direct Dust replacement if the team wants a multiplayer agent workspace or a chat-native coworker wired into many work tools. Many teams should use Claude alongside one of the operational products on this page. Use Claude for thinking-heavy work, then use Dash, Dust, Gumloop, Glean, or Zapier Agents where the output needs to become an action across tools.

7. Zapier Agents

Best for: broad cross-app automation across a large app catalog.

Zapier Agents lets teams create AI teammates with company knowledge that work across 9,000+ apps. It is the strongest Dust alternative when the app catalog is the reason for the purchase. If the team already uses Zapier heavily, adding agents on top of that automation footprint is a natural evaluation path.

Zapier Agents beat Dash and Dust on raw app breadth. The trade-off is product center of gravity. Zapier starts from automation and connected apps. Dust starts from a shared agent workspace. Dash starts from the team chat surface with approval-first actions. Choose Zapier Agents when breadth is the deciding factor.

Where does Process Street fit with Dust alternatives?

Process Street is not itself a Dust alternative, and it does not belong in the ranked list above. It is the operational system underneath an AI coworker. The coworker can start the work in chat or in an agent workspace, but the repeatable checklist, approval, owner, policy, risk note, and evidence record need a governed home.

• Ops for workflow automation and orchestration. Process Street Ops turns repeatable work into automated workflows, so a task an AI coworker starts can become a controlled process.
• Docs for document and policy control. Process Street Docs keeps SOPs and policies governed, approved, and current.
• AI and automations for the handoff layer. The automation layer and AI platform connect structured work to the rest of the stack, with pricing context on the pricing page.

This matters most when AI creates work that has to be repeated. A customer request can turn into a customer onboarding workflow. A hiring question can trigger an employee onboarding checklist. A policy question can point back to a standard operating procedure template. A risky action can require an approval process before anything leaves the team.

Useful background for this layer includes a guide to building a workflow management system, a plain-English overview of what AI agents are, a roundup of the best AI ops tools, and a broader guide to customer onboarding.

How can you switch from Dust without disrupting work?

The safest move is a side-by-side pilot, not a rip-and-replace project. Pick one team, one channel, one existing workflow, and five real asks from last week. Run those asks through Dust and the alternative you are testing. Compare finished work, approval behavior, and how much context the team had to repeat.

• Keep Dust for internal agents: if the team already uses Dust for shared company-data agents, keep that surface intact during the pilot.
• Pilot Dash in chat: add Dash to Slack, connect the tools the team uses most, and test whether approval-first work inside chat removes friction.
• Test Gumloop on visual flows: use it where the logic needs to be inspected and maintained by an automation owner.
• Use Claude for thinking-heavy work: keep reasoning and drafting separate from operational handoff.
• Anchor repeatable work: when a task becomes recurring, move the process into Process Street so the owner, steps, approval, and evidence stay consistent.

Final recommendation

For most teams looking for a Dust alternative, Dash is the default if the goal is an AI coworker in Slack or Microsoft Teams that connects to tools, learns team context, and asks before risky actions. Dust is the direct benchmark if you want a dedicated multiplayer AI workspace. Gumloop is better for visual flow builders, Lindy for personal assistant work, Glean Agents for enterprise knowledge search, Claude for reasoning, and Zapier Agents for broad app automation.

The clean decision is about where controlled work should live. If work should happen in team chat with approval before action, choose Dash. If work should happen in a shared agent workspace built around company data, choose Dust. If the AI output has to become repeatable, pair the assistant with Process Street so the process, policy, owner, approval, and evidence are preserved.

Try Dash free in Slack

If Dash sounds like the right Dust alternative for your team, start with one Slack workspace and one real workflow. Ask Dash to complete a useful task from this week, review the approval step, and compare the finished output with the alternatives on your shortlist.

FAQs about Dust alternatives