Enterprise "Agent OS" with trust, memory, and multi-agent coordination — built by ex-Atlassian CTO.
Dust vs Wordwarewhich AI ops agent should you pick in 2026?
"Multiplayer AI" — shared, governed company-wide agents across your stack.
Dust vs Wordware — specs
| Spec | Dust | Wordware |
|---|---|---|
| Agent Rank | 77 / 100 (A) | 75 / 100 (A) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $29 | Freemium · from $29 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG, Multi-agent | Tool use, Memory, Multi-agent, RAG |
| Integrations | 5 apps | 4 apps |
| Verified | — | Verified |
| Released | Mar 2025 | Apr 2025 |
Agent Rank breakdown
- Autonomy
- 8
- Capabilities
- 8
- Integrations
- 10
- Pricing
- 7
- Polish
- 7
- Verifiability
- 6
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy
- 8
- Capabilities
- 8
- Integrations
- 6
- Pricing
- 7
- Polish
- 6
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +"Multiplayer AI" — shared, governed workspaces designed for company-wide use
- +$40M Series B (Sequoia, Snowflake, Datadog) signals strong enterprise validation
- +Deepest connector library among agent platforms (Slack/Notion/GitHub/Salesforce/GDrive)
- −French roots — strongest support in EU/UK time zones
- −Higher per-seat pricing than Glean for read-only retrieval use cases
- −Custom agent authoring requires technical user (less low-code than Gumloop)
- +Document-like UI makes building agent workflows intuitive for non-engineers
- +Strong template library — copy a working workflow and modify
- +Genuinely useful for prototyping multi-step agent logic before coding it
- −Production-grade deployments still benefit from custom code
- −Pricing tiers can be confusing as workflows scale
- −Less polished observability than purpose-built agent platforms
Pricing
- +1 workspace
- +3 agents
- +GPT-4o + Claude 3.5
- +Unlimited agents
- +All integrations
- +Custom data sources
- +SSO + audit
- +Custom retention
- +Dedicated tenants
- +Public workflows only
- +Community templates
- +Private workflows
- +Higher rate limits
- +Custom integrations
- +Shared workspace
- +Role-based access
- +API export
Which one should you pick?
Pick Wordware if you want a vendor we've verified for accessibility and pricing accuracy.
Try Wordware →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Dust or Wordware in 2026?+
Pick Dust if its specific capabilities (Tool use, Memory) match what you need. Pick Wordware if you want a vendor we've verified for accessibility and pricing accuracy. Most working teams running both can use Dust for primary work and Wordware for the workflows where its specific strengths matter.
What's the price difference between Dust and Wordware?+
Both Dust and Wordware start in the same pricing range (Subscription · from $29 vs Freemium · from $29). Total cost of ownership depends on your team size and volume — see the TCO calculator for your specific math.
Which is more autonomous, Dust or Wordware?+
Both Dust and Wordware are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Readers comparing Dust and Wordware also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
- Tool useMemoryRAGMulti-agent
GDPR-native multi-model AI workspace with built-in agent builder — Europe's Glean alternative.
Tool useMemoryRAGMulti-agent
Demo · hover to playVisual workflow automation with AI agents — drag-and-drop scenarios across 2,000+ apps.
Tool useMemoryMulti-agentDemo · hover to play