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.
- FindFind information.
- UnderstandMake sense of the context
- CreateProduce the work
- ActChange something in a system.
- 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
| Dimension | Dust | Libra WorkBase |
|---|---|---|
| Core Idea | Custom agent building platform | Company context + execution |
| Knowledge | Company data connected into agent builders | Persistent company knowledge across Search, Assistants, WorkBase and Agents |
| Agents | Custom agents assembled by your team | Multi-step agents scoped with tools, permissions and approvals |
| Workflows | Workflows constructed agent by agent | WorkBase as a dedicated company workflow layer |
| Human control | Governance depends on how each agent is built | Defined approval points before consequential actions |
| Deployment | Cloud platform for building and hosting agents | Managed Cloud + controlled enterprise deployment options |
| Desktop | Agents accessed through the Dust platform | AI directly inside the employee's desktop workflow |
| The difference | Strongest 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.
| Platform | Best For | Compare |
|---|---|---|
| Glean | Enterprise search + Work AI | Libra vs Glean |
| Claude Cowork | AI-native individual computer work | Libra vs Claude Cowork |
| Manus | General-purpose autonomous task execution | Libra vs Manus |
| ChatGPT Enterprise | General-purpose enterprise AI | Libra vs ChatGPT Enterprise |
| Microsoft Copilot | AI embedded across Microsoft 365 | Libra 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.
