Enterprise "Agent OS" with trust, memory, and multi-agent coordination — built by ex-Atlassian CTO.
Dust vs Harvey AIwhich AI ops agent should you pick in 2026?
"Multiplayer AI" — shared, governed company-wide agents across your stack.
Dust vs Harvey AI — specs
| Spec | Dust | Harvey AI |
|---|---|---|
| Agent Rank | 77 / 100 (A) | 68 / 100 (B) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $29 | Subscription · Free tier |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG, Multi-agent | RAG, Memory, Tool use |
| Integrations | 5 apps | 3 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
- 6
- Integrations
- 2
- Pricing
- 9
- 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)
- +Highest-quality legal-domain AI in 2026 — trained on actual legal work
- +Used by 350+ AmLaw firms; battle-tested in real matters
- +Strict data isolation — work product never leaves customer tenancy
- −Enterprise pricing only — no transparent SaaS pricing
- −Sales cycle is months; not a self-serve product
- −Still a junior associate by capability — humans own final work product
Pricing
- +1 workspace
- +3 agents
- +GPT-4o + Claude 3.5
- +Unlimited agents
- +All integrations
- +Custom data sources
- +SSO + audit
- +Custom retention
- +Dedicated tenants
- +AI legal associate
- +Trained on legal corpora
- +iManage / NetDocs integration
- +SOC 2 II + ISO 27001
- +Everything in Firm
- +Dedicated VPC
- +Custom workflows
- +Privileged-data isolation
Which one should you pick?
Pick Harvey AI if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Harvey AI →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Dust or Harvey AI in 2026?+
Pick Dust if its specific capabilities (Tool use, Memory) match what you need. Pick Harvey AI if cost is the main constraint or 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 Harvey AI for the workflows where its specific strengths matter.
What's the price difference between Dust and Harvey AI?+
Dust starts at Subscription · from $29; Harvey AI starts at Subscription · Free tier. Harvey AI is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Dust or Harvey AI?+
Both Dust and Harvey AI are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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GDPR-native multi-model AI workspace with built-in agent builder — Europe's Glean alternative.
Tool useMemoryRAGMulti-agent
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