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Continue vs Linear Agent: 2026 comparison

Open-source coding agent for VS Code and JetBrains — bring your own model, customize every prompt.

💻CodeSemi-autonomousOpen source
CodeTool useMemory

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

⚙️OpsSemi-autonomousSubscription · from $8
Tool useRAGMemory

Continue vs Linear Agent — specs

SpecContinueLinear Agent
Agent Rank75 / 100 (A)72 / 100 (A)
AutonomySemi-autonomousSemi-autonomous
PricingFree · OSSSubscription · from $8
Open sourceYesNo
CapabilitiesCode, Tool use, MemoryTool use, RAG, Memory
Integrations3 apps3 apps
VerifiedVerifiedVerified
ReleasedFeb 2025Apr 2025

Categories: ContinueCode · Linear AgentOps

Agent Rank breakdown

Continue
Agent Rank
75/ 100
AA-tier
Autonomy fit
8
Capabilities
6
Integrations
4
Pricing value
10
Polish & maturity
7
Verifiability
10

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

Linear Agent
Agent Rank
72/ 100
AA-tier
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

Continue
Pros
  • +Apache 2.0 — fully open source; auditable end-to-end
  • +Works with any OpenAI-compatible API endpoint, including local LLMs
  • +JetBrains support that Cursor and Cline lack
Cons
  • Smaller community than Cursor or Cline
  • Less polished than Cursor; requires more configuration
  • No native MCP server marketplace — manual config required
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

Pricing

Continue
Open source
Free
Engineers + teams
  • +Apache 2.0 license
  • +BYO model API key
  • +VS Code + JetBrains support
Recommended
Hub
$20/mo
Teams sharing config
  • +Shared models + assistants
  • +Org-wide rules and prompts
  • +Usage analytics
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

Which one should you pick?

Continue

Pick Continue if cost is the main constraint or if auditability or self-hosting matters.

Try Continue →
Linear Agent

Pick Linear Agent if its specific capabilities (Tool use, RAG) match what you need.

Try Linear Agent →

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Frequently asked

Should I pick Continue or Linear Agent in 2026?+

Pick Continue if cost is the main constraint or if auditability or self-hosting matters. Pick Linear Agent if its specific capabilities (Tool use, RAG) match what you need. Most working teams running both can use Continue for primary work and Linear Agent for the workflows where its specific strengths matter.

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

Continue starts at Free · OSS; Linear Agent starts at Subscription · from $8. Continue 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, Continue or Linear Agent?+

Both Continue and Linear Agent are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.

Want the real monthly cost at your volume? Run the TCO calculator →
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