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AI Work Platform Alternatives

Dust Alternatives: Build Your Own Agents, or Buy the Context Layer?

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

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Dust

Helps your team build and run custom AI agents.

Libra

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.

GleanGensparkKore.aiDustClaude CoworkManusChatGPT EnterpriseMicrosoft CopilotLibra

Hover a platform to isolate it; select it to read that comparison.

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 AND 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.

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.

  • Who does the assembly. Dust is strongest when your team wants to build and own custom agents. Libra ships the context layer and the execution around it, so people get finished work without an agent being built for every task first.

  • No. An assistant answers; WorkBase finishes the job. The same company context powers Search, Assistants, WorkBase and Agents, so a request can end in a sent email, an updated CRM record or a routed ticket — with approval points you define before anything consequential runs.

  • It depends on what you want AI to do. Glean leads on enterprise search, Claude Cowork and Manus on individual task execution, ChatGPT Enterprise on general-purpose reach, and Microsoft Copilot inside Microsoft 365. Libra is the fit when you want company context and execution without building each agent yourself.

Dust isn't the only alternative worth a look.

See it against your own company's work.

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