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Cognigy vs Linear Agentwhich AI support agent should you pick in 2026?

Forrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).

🎧SupportAutonomousSubscription
Tool useVoiceMemoryRAG

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

⚙️OpsSemi-autonomousSubscription · from $8
Tool useRAGMemory

Cognigy vs Linear Agent — specs

SpecCognigyLinear Agent
Agent Rank73 / 100 (A)73 / 100 (A)
AutonomyAutonomousSemi-autonomous
PricingSubscriptionSubscription · from $8
Open sourceNoNo
CapabilitiesTool use, Voice, Memory, RAG, Multi-agentTool use, RAG, Memory
Integrations5 apps3 apps
VerifiedVerified
ReleasedMar 2025Apr 2025

Categories: CognigySupport · Linear AgentOps

Agent Rank breakdown

Cognigy
Agent Rank
73/ 100
AA-tier
自律性
9
機能
10
連携
8
料金
4
完成度
7
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?

Linear Agent
Agent Rank
73/ 100
AA-tier
自律性
8
機能
6
連携
6
料金
8
完成度
6
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?

Pros & cons

Cognigy
メリット
  • +Forrester Wave Leader 2026 — highest combined score in Conversational AI
  • +Strong voice + chat parity (most competitors are stronger on one channel)
  • +Now part of NiCE — deep contact-center stack integration with existing CCaaS
デメリット
  • Enterprise-only — no SMB self-serve
  • Steep learning curve for low-code authoring
  • Long implementation timelines (3-6 months typical for full rollouts)
Linear Agent
メリット
  • +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
デメリット
  • 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

Pricing

Cognigy
Standard
カスタム
Mid-market
  • +Pre-built support agents
  • +Voice + chat
  • +5 integrations
おすすめ
Enterprise
カスタム
Large orgs
  • +Unlimited integrations
  • +Multi-agent orchestration
  • +On-prem option
Sovereign
カスタム
Regulated
  • +EU/US data residency
  • +BYO LLM
  • +Dedicated tenant
Linear Agent
Free
無料
Small teams (≤10 users)
  • +Basic Linear
  • +Limited AI features
おすすめ
Standard
$8/席/月
Growing teams
  • +Full Linear + AI Agent
  • +Issue triage
  • +Spec drafting
Business
$14/席/月
Larger orgs
  • +SAML SSO
  • +SCIM
  • +Advanced analytics

Which one should you pick?

Cognigy

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

Try Cognigy →
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 →

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Frequently asked

Should I pick Cognigy or Linear Agent in 2026?+

Pick Cognigy if you want the highest autonomy and the verification loop is in place. Pick Linear Agent 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 Cognigy for primary work and Linear Agent for the workflows where its specific strengths matter.

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

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

Cognigy 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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Cognigy vs Linear Agent (2026): which AI support agent wins? · AI Agent Rank