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Lindy vs Sycamorewhich AI ops agent should you pick in 2026?

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

⚙️OpsSemi-autonomousSubscription · from $49
Tool useMemoryVoice

Enterprise "Agent OS" with trust, memory, and multi-agent coordination — built by ex-Atlassian CTO.

⚙️OpsSemi-autonomousSubscription
Tool useMemoryRAGMulti-agent

Lindy vs Sycamore — specs

SpecLindySycamore
Agent Rank77 / 100 (A)67 / 100 (B)
AutonomySemi-autonomousSemi-autonomous
PricingSubscription · from $49Subscription
Open sourceNoNo
CapabilitiesTool use, Memory, VoiceTool use, Memory, RAG, Multi-agent
Integrations4 apps4 apps
VerifiedVerified
ReleasedApr 2025Mar 2026

Categories: LindyOps · SycamoreOps

Agent Rank breakdown

Lindy
Agent Rank
77/ 100
AA-tier
自律性
8
機能
6
連携
8
料金
7
完成度
7
検証性
10

自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?

Sycamore
Agent Rank
67/ 100
BB-tier
自律性
8
機能
8
連携
8
料金
4
完成度
6
検証性
6

自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?

Pros & cons

Lindy
メリット
  • +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
デメリット
  • Microsoft 365 integrations weaker than Google Workspace
  • Credit math obscures real cost at heavy usage
  • Voice features (Pro) need careful tuning
Sycamore
メリット
  • +$65M seed Mar 2026 (Coatue + Lightspeed) — one of the largest agent-platform seeds ever
  • +Built by ex-Atlassian CTO — strong execution + enterprise distribution roots
  • +Trust + memory layer designed for "production at scale" agents
デメリット
  • Newest of the agent-OS platforms — limited public case studies
  • No public pricing — sales-led motion
  • Competing against Dust, Sema4.ai, Glean for the same enterprise budget

Pricing

Lindy
Free
無料
Trial
  • +400 credits/mo
  • +1 active workflow
おすすめ
Starter
$49/
Individuals
  • +5,000 credits/mo
  • +Unlimited workflows
  • +All integrations
Pro
$199/
Power users / small teams
  • +30,000 credits/mo
  • +Phone calls
  • +Team seats
Sycamore
Team
カスタム
Engineering teams
  • +Agent OS core
  • +Standard integrations
  • +Standard SLA
おすすめ
Enterprise
カスタム
Large orgs
  • +Multi-agent coordination
  • +Trust + memory layers
  • +Strategic CS
Sovereign
カスタム
Regulated
  • +On-prem deployment
  • +Dedicated engineering
  • +Custom integrations

Which one should you pick?

Lindy

Pick Lindy if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.

Claim AIAGENTS
Sycamore

Pick Sycamore if its specific capabilities (Tool use, Memory) match what you need.

Try Sycamore →

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Frequently asked

Should I pick Lindy or Sycamore in 2026?+

Pick Lindy if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Sycamore if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Lindy for primary work and Sycamore for the workflows where its specific strengths matter.

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

Lindy starts at Subscription · from $49; Sycamore starts at Subscription. Lindy 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, Lindy or Sycamore?+

Both Lindy and Sycamore 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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Lindy vs Sycamore (2026): which AI ops agent wins? · AI Agent Rank