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Decagon vs Langdockwhich AI support agent should you pick in 2026?

Conversational support agents that resolve tickets like your best reps.

🎧SupportAutonomousSubscription
Tool useMemoryRAG

GDPR-native multi-model AI workspace with built-in agent builder — Europe's Glean alternative.

⚙️OpsSemi-autonomousSubscription · from $30
Tool useMemoryRAGMulti-agent

Decagon vs Langdock — specs

SpecDecagonLangdock
Agent Rank73 / 100 (A)77 / 100 (A)
AutonomyAutonomousSemi-autonomous
PricingSubscription · Free tierSubscription · from $30
Open sourceNoNo
CapabilitiesTool use, Memory, RAGTool use, Memory, RAG, Multi-agent
Integrations3 apps5 apps
VerifiedVerified
ReleasedApr 2025Feb 2025

Categories: DecagonSupport · LangdockOps

Agent Rank breakdown

Decagon
Agent Rank
73/ 100
AA-tier
Autonomy
9
Capabilities
6
Integrations
4
Pricing
9
Polish
6
Verifiability
10

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

Langdock
Agent Rank
77/ 100
AA-tier
Autonomy
8
Capabilities
8
Integrations
10
Pricing
7
Polish
7
Verifiability
6

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

Pros & cons

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
Langdock
Pros
  • +GDPR-native — built EU-first with German data residency and strict compliance defaults
  • +Multi-model BYO (Anthropic, OpenAI, Google) without lock-in
  • +Strong agent builder + connector library — Glean-class but priced for European mid-market
Cons
  • Smaller US presence and US partner ecosystem
  • Newer than Glean — fewer published US Fortune 500 case studies
  • Per-seat pricing adds up at scale (>50 users)

Pricing

Decagon
Growth
Custom
Mid-market
  • +Per-resolution pricing
  • +Zendesk / Intercom integration
  • +Onboarding included
Recommended
Enterprise
Custom
Enterprise
  • +Custom integrations
  • +SSO + audit log
  • +Dedicated CSM
Langdock
Free
Free
Individuals
  • +1 workspace
  • +GPT-4o + Claude
  • +Limited connectors
Recommended
Pro
$30/seat/mo
Teams
  • +Multi-model BYO
  • +All connectors
  • +Agent builder
Enterprise
Custom
Large EU orgs
  • +SSO + audit
  • +Custom retention
  • +Dedicated EU tenant

Which one should you pick?

Decagon

Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.

Try Decagon →
Langdock

Pick Langdock if its specific capabilities (Tool use, Memory) match what you need.

Try Langdock →

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Frequently asked

Should I pick Decagon or Langdock 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 Langdock if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Decagon for primary work and Langdock for the workflows where its specific strengths matter.

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

Decagon starts at Subscription · Free tier; Langdock starts at Subscription · from $30. 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 Langdock?+

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.

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