Decagon vs Linear Agent: 2026 comparison
Conversational support agents that resolve tickets like your best reps.
AI agent inside Linear — triages issues, drafts engineering specs, runs cross-team workflows on tickets.
Decagon vs Linear Agent — specs
| Spec | Decagon | Linear Agent |
|---|---|---|
| Agent Rank | 72 / 100 (A) | 72 / 100 (A) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription · from $8 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, RAG, Memory |
| Integrations | 3 apps | 3 apps |
| Verified | Verified | Verified |
| Released | Apr 2025 | Apr 2025 |
Agent Rank breakdown
- Autonomy fit
- 9
- Capabilities
- 6
- Integrations
- 4
- Pricing value
- 9
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 8
- Capabilities
- 6
- Integrations
- 6
- Pricing value
- 8
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Chat-first agent with consistently 65–75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced — easier conversation than Sierra
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
- +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
- −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
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
- +Basic Linear
- +Limited AI features
- +Full Linear + AI Agent
- +Issue triage
- +Spec drafting
- +SAML SSO
- +SCIM
- +Advanced analytics
Which one should you pick?
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try Decagon →Pick Linear Agent if its specific capabilities (Tool use, RAG) match what you need.
Try Linear Agent →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Linear Agent in 2026?+
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Linear Agent if its specific capabilities (Tool use, RAG) match what you need. Most working teams running both can use Decagon for primary work and Linear Agent for the workflows where its specific strengths matter.
What's the price difference between Decagon and Linear Agent?+
Decagon starts at Subscription · Free tier; Linear Agent starts at Subscription · from $8. Decagon 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, Decagon or Linear Agent?+
Decagon 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.