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Dust vs Lindywhich AI ops agent should you pick in 2026?

"Multiplayer AI" — shared, governed company-wide agents across your stack.

⚙️OpsSemi-autonomousSubscription · from $29
Tool useMemoryRAGMulti-agent

Build no-code AI employees for inbox, meetings and CRM updates.

⚙️OpsSemi-autonomousSubscription · from $49
Tool useMemoryVoice

Dust vs Lindy — specs

SpecDustLindy
Agent Rank77 / 100 (A)77 / 100 (A)
AutonomySemi-autonomousSemi-autonomous
PricingSubscription · from $29Subscription · from $49
Open sourceNoNo
CapabilitiesTool use, Memory, RAG, Multi-agentTool use, Memory, Voice
Integrations5 apps4 apps
VerifiedVerified
ReleasedMar 2025Apr 2025

Categories: DustOps · LindyOps

Agent Rank breakdown

Dust
Agent Rank
77/ 100
AA-tier
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?

Lindy
Agent Rank
77/ 100
AA-tier
Autonomy
8
Capabilities
6
Integrations
8
Pricing
7
Polish
7
Verifiability
10

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Pros & cons

Dust
Pros
  • +"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)
Cons
  • 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)
Lindy
Pros
  • +No-code agent builder is genuinely usable by non-engineers
  • +Strong on inbox + meeting + CRM-hygiene patterns
  • +AIAGENTS coupon stacks with annual; effective ~$44/mo
Cons
  • Microsoft 365 integrations weaker than Google Workspace
  • Credit math obscures real cost at heavy usage
  • Voice features (Pro) need careful tuning

Pricing

Dust
Free
Free
Individuals
  • +1 workspace
  • +3 agents
  • +GPT-4o + Claude 3.5
Recommended
Pro
$29/seat/mo
Teams
  • +Unlimited agents
  • +All integrations
  • +Custom data sources
Enterprise
Custom
Large orgs
  • +SSO + audit
  • +Custom retention
  • +Dedicated tenants
Lindy
Free
Free
Trial
  • +400 credits/mo
  • +1 active workflow
Recommended
Starter
$49/mo
Individuals
  • +5,000 credits/mo
  • +Unlimited workflows
  • +All integrations
Pro
$199/mo
Power users / small teams
  • +30,000 credits/mo
  • +Phone calls
  • +Team seats

Which one should you pick?

Dust

Pick Dust if cost is the main constraint.

Try Dust →
Lindy

Pick Lindy if you want a vendor we've verified for accessibility and pricing accuracy.

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Frequently asked

Should I pick Dust or Lindy in 2026?+

Pick Dust if cost is the main constraint. Pick Lindy 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 Lindy for the workflows where its specific strengths matter.

What's the price difference between Dust and Lindy?+

Dust starts at Subscription · from $29; Lindy starts at Subscription · from $49. Dust 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 Lindy?+

Both Dust and Lindy 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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Want the real monthly cost at your volume? Run the TCO calculator →
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Dust vs Lindy (2026): which AI ops agent wins? · AI Agent Rank