AI Work Platform Alternatives

Dust Alternatives: Which AI Work Platform Is Right for You?

If you're evaluating Dust alternatives, here's how the leading AI work platforms compare, and where Libra fits.

There isn't one way to build an AI workplace.

  1. FindFind information.
  2. UnderstandMake sense of the context
  3. CreateProduce the work
  4. ActChange something in a system.
  5. RunOwn a multistep process

The products below overlap, but they are optimised for different parts of this spectrum.

Where each platform is placing its bet.

Dust helps your team build and run custom AI agents.

Libra vs Dust

DimensionDustLibra WorkBase
Core IdeaCustom agent building platformCompany context + execution
KnowledgeCompany data connected into agent buildersPersistent company knowledge across Search, Assistants, WorkBase and Agents
AgentsCustom agents assembled by your teamMulti-step agents scoped with tools, permissions and approvals
WorkflowsWorkflows constructed agent by agentWorkBase as a dedicated company workflow layer
Human controlGovernance depends on how each agent is builtDefined approval points before consequential actions
DeploymentCloud platform for building and hosting agentsManaged Cloud + controlled enterprise deployment options
DesktopAgents accessed through the Dust platformAI directly inside the employee's desktop workflow
The differenceStrongest when your team wants to build and own custom agents.Designed to turn company context into finished work without building agents from scratch.

Dust is genuinely good at this.

Libra uses the access your organisation gives it. A connection doesn't mean everyone suddenly sees everything.

  • Agent building

    Dust's core strength is giving technical teams a fast, flexible environment to build custom agents.

  • Composability

    Dust makes it straightforward to assemble agents from your own data sources and tools.

  • Developer control

    Teams that want fine-grained control over how an agent behaves can get it in Dust.

Why choose Libra

  • You want AI to finish the job.

    WorkBase is designed around what happens after the answer: creating the email, updating the CRM, preparing the report, routing the ticket, or moving a workflow forward.

  • You want one context layer for people & AI.

    The same company knowledge can power Search, Assistants, WorkBase and Agents.

  • Ask about what's on your screen. Then tell it what to do.

    Libra Desktop sits on top of the app you are already in, so the same context layer can read what you are looking at and act on it across your stack.

Dust isn't the only alternative worth a look.

Each one is the stronger fit for a different shape of work. Here is where to read the rest of the comparison.

PlatformBest ForCompare
GleanEnterprise search + Work AILibra vs Glean
Claude CoworkAI-native individual computer workLibra vs Claude Cowork
ManusGeneral-purpose autonomous task executionLibra vs Manus
ChatGPT EnterpriseGeneral-purpose enterprise AILibra vs ChatGPT Enterprise
Microsoft CopilotAI embedded across Microsoft 365Libra vs Microsoft Copilot

Frequently Asked Questions

Yes. Libra and Dust take different approaches to AI at work. This page compares where each is the stronger fit, and Libra places particular focus on turning company context into work through WorkBase, Assistants and Agents.