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Continue vs Decagon: 2026 comparison

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

💻CodeSemi-autonomousOpen source
CodeTool useMemory

Conversational support agents that resolve tickets like your best reps.

🎧SupportAutonomousSubscription
Tool useMemoryRAG

Continue vs Decagon — specs

SpecContinueDecagon
Agent Rank75 / 100 (A)72 / 100 (A)
AutonomySemi-autonomousAutonomous
PricingFree · OSSSubscription · Free tier
Open sourceYesNo
CapabilitiesCode, Tool use, MemoryTool use, Memory, RAG
Integrations3 apps3 apps
VerifiedVerifiedVerified
ReleasedFeb 2025Apr 2025

Categories: ContinueCode · DecagonSupport

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?

Decagon
Agent Rank
72/ 100
AA-tier
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?

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
Decagon
Pros
  • +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
Cons
  • Voice support exists but is not the strength
  • Sales-led — no self-serve sign-up
  • Per-resolution pricing can sting if tickets spike unexpectedly

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
Decagon
Growth
Custom
Mid-market
  • +Per-resolution pricing
  • +Zendesk / Intercom integration
  • +Onboarding included
Recommended
Enterprise
Custom
Enterprise
  • +Custom integrations
  • +SSO + audit log
  • +Dedicated CSM

Which one should you pick?

Continue

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

Try Continue →
Decagon

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

Try Decagon →

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Frequently asked

Should I pick Continue or Decagon in 2026?+

Pick Continue if cost is the main constraint or if auditability or self-hosting matters. Pick Decagon if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Continue for primary work and Decagon for the workflows where its specific strengths matter.

What's the price difference between Continue and Decagon?+

Continue starts at Free · OSS; Decagon starts at Subscription · Free tier. 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 Decagon?+

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.

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