KI-Kundenservice-Agent — löst Tickets über Chat, E-Mail und Sprache mit messbaren Ticket-Deflection-Raten.
RAGTool-NutzungMemorySprache
Demo · hover to play
Decagon vs Tofuwhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Tool useMemoryRAG
Autonomous campaign execution across email, ads, and web at brand-safe scale.
Tool useMemoryRAG
Decagon vs Tofu — specs
| Spec | Decagon | Tofu |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 63 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, Memory, RAG |
| Integrations | 3 apps | 5 apps |
| Verified | Verified | — |
| Released | Apr 2025 | Jun 2025 |
Agent Rank breakdown
Decagon
Agent Rank
73/ 100
- Autonomie
- 9
- Fähigkeiten
- 6
- Integrationen
- 4
- Preise
- 9
- Reife
- 6
- Verifizierbarkeit
- 10
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Tofu
Agent Rank
63/ 100
- Autonomie
- 9
- Fähigkeiten
- 6
- Integrationen
- 6
- Preise
- 4
- Reife
- 7
- Verifizierbarkeit
- 6
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
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
Tofu
Pros
- +#1 in multiple 2026 marketing-agent buyer guides — top of the vertical
- +Autonomous orchestration across email + ads + web (most agents only do one channel)
- +Strong brand-governance — runs every output through brand library checks
Cons
- −Enterprise pricing only — no SMB self-serve
- −Newer than Writer/Jasper — fewer Fortune 500 case studies
- −Best ROI requires existing martech stack (HubSpot/Marketo/Salesforce)
Pricing
Decagon
Growth
Individuell
Mid-market
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
Empfohlen
Enterprise
Individuell
Enterprise
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
Tofu
Growth
Individuell
Mid-market
- +Email + ads + web
- +Brand library
- +HubSpot/Marketo sync
Empfohlen
Scale
Individuell
Large brands
- +Unlimited campaigns
- +Multi-brand workspace
- +Advanced governance
Enterprise
Individuell
Fortune 500
- +Custom integrations
- +Dedicated CS
- +Custom SLAs
Which one should you pick?
Decagon
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Decagon →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Tofu in 2026?+
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Tofu if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Decagon for primary work and Tofu for the workflows where its specific strengths matter.
What's the price difference between Decagon and Tofu?+
Decagon starts at Subscription · Free tier; Tofu starts at Subscription. 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 Tofu?+
Both Decagon and Tofu are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
Multilingual customer-support AI agents with local deployment teams in 30 countries.
Tool-NutzungMemorySpracheRAGLösungsbasierter KI-Agent, direkt in Intercom integriert — Abrechnung nur für tatsächlich deflektierte Anfragen.
RAGTool-NutzungMemoryDemo · hover to play
See more alternatives: alternatives to Decagon · alternatives to Tofu
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