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Linear Agent vs Sardinewhich AI ops agent should you pick in 2026?

AI agent inside Linear — triages issues, drafts engineering specs, runs cross-team workflows on tickets.

⚙️OpsSemi-autonomousSubscription · from $8
Tool useRAGMemory

Agentic financial-crime ops — consolidates 11 fraud/KYC vendors, auto-reviews 40% of applications.

⚙️OpsAutonomousSubscription
Tool useMemoryRAGMulti-agent

Linear Agent vs Sardine — specs

SpecLinear AgentSardine
Agent Rank73 / 100 (A)67 / 100 (B)
AutonomySemi-autonomousAutonomous
PricingSubscription · from $8Subscription
Open sourceNoNo
CapabilitiesTool use, RAG, MemoryTool use, Memory, RAG, Multi-agent
Integrations3 apps4 apps
VerifiedVerified
ReleasedApr 2025Jan 2025

Categories: Linear AgentOps · SardineOps

Agent Rank breakdown

Linear Agent
Agent Rank
73/ 100
AA-tier
Autonomy
8
Capabilities
6
Integrations
6
Pricing
8
Polish
6
Verifiability
10

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

Sardine
Agent Rank
67/ 100
BB-tier
Autonomy
9
Capabilities
8
Integrations
6
Pricing
4
Polish
7
Verifiability
6

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

Pros & cons

Linear Agent
Pros
  • +Native to Linear — zero extra setup for teams already using it
  • +Triage and spec-drafting genuinely save time on issue grooming
  • +Pricing folds AI features into the existing Linear seat
Cons
  • Only useful if you live in Linear
  • Less powerful than dedicated coding agents (Cursor, Claude Code) for code work
  • Agent autonomy bounded by Linear-specific tasks
Sardine
Pros
  • +$145M total (a16z) — top of the agentic financial-crime category
  • +Consolidates 11 fraud/KYC/AML vendors into one platform
  • +Auto-reviews 40% of monthly applications — major cost reduction
Cons
  • Enterprise focus — not priced for SMB fintechs
  • Regulatory complexity requires legal review per deployment
  • Best ROI requires existing high-volume transaction flow

Pricing

Linear Agent
Free
Free
Small teams (≤10 users)
  • +Basic Linear
  • +Limited AI features
Recommended
Standard
$8/seat/mo
Growing teams
  • +Full Linear + AI Agent
  • +Issue triage
  • +Spec drafting
Business
$14/seat/mo
Larger orgs
  • +SAML SSO
  • +SCIM
  • +Advanced analytics
Sardine
Growth
Custom
Mid-market fintechs
  • +Fraud + AML core agents
  • +4 integrations
  • +Standard SLA
Recommended
Enterprise
Custom
Large banks + fintechs
  • +Full agent suite
  • +Unlimited integrations
  • +Custom rules engine
Sovereign
Custom
Regulated
  • +EU/US data residency
  • +On-prem option
  • +Dedicated CS

Which one should you pick?

Linear Agent

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

Try Linear Agent →
Sardine

Pick Sardine if you want the highest autonomy and the verification loop is in place.

Try Sardine →

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Frequently asked

Should I pick Linear Agent or Sardine in 2026?+

Pick Linear Agent if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Sardine if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Linear Agent for primary work and Sardine for the workflows where its specific strengths matter.

What's the price difference between Linear Agent and Sardine?+

Linear Agent starts at Subscription · from $8; Sardine starts at Subscription. Linear Agent 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, Linear Agent or Sardine?+

Sardine is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.

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