AI customer service agent — resolves tickets across chat, email, voice with measurable deflection rates.
Decagon vs Langdockwhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Decagon vs Langdock — specs
| Spec | Decagon | Langdock |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 77 / 100 (A) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription · from $30 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 5 apps |
| Verified | Verified | — |
| Released | Apr 2025 | Feb 2025 |
Agent Rank breakdown
- 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?
- 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
- +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
- +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
- −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
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
- +1 workspace
- +GPT-4o + Claude
- +Limited connectors
- +Multi-model BYO
- +All connectors
- +Agent builder
- +SSO + audit
- +Custom retention
- +Dedicated EU tenant
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 Langdock if its specific capabilities (Tool use, Memory) match what you need.
Try Langdock →Affiliate links. We may earn a commission at no extra cost to you.
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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Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
- RAGTool useMemoryVoiceDemo · hover to play
Multilingual customer-support AI agents with local deployment teams in 30 countries.
Tool useMemoryVoiceRAGResolution-based AI agent built into Intercom — pays for what it actually deflects.
RAGTool useMemoryDemo · hover to play