AI customer service agent β resolves tickets across chat, email, voice with measurable deflection rates.
RAGTool useMemoryVoice
Demo Β· 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 β specs
| Spec | Decagon | Tofu |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 63 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription Β· Free tier | Subscription |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, Memory, RAG |
| Integrations | 3 apps | 5 apps |
| Verified | Verified | β |
| Released | Apr 2025 | Jun 2025 |
Agent Rank breakdown
Decagon
Agent Rank
73/ 100
- 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?
Tofu
Agent Rank
63/ 100
- Autonomy
- 9
- Capabilities
- 6
- Integrations
- 6
- Pricing
- 4
- 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 65β75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced β easier conversation than Sierra
Cons
- βVoice support exists but is not the strength
- βSales-led β no self-serve sign-up
- βPer-resolution pricing can sting if tickets spike unexpectedly
Tofu
Pros
- +#1 in multiple 2026 marketing-agent buyer guides β top of the vertical
- +Autonomous orchestration across email + ads + web (most agents only do one channel)
- +Strong brand-governance β runs every output through brand library checks
Cons
- βEnterprise pricing only β no SMB self-serve
- βNewer than Writer/Jasper β fewer Fortune 500 case studies
- βBest ROI requires existing martech stack (HubSpot/Marketo/Salesforce)
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
Tofu
Growth
Custom
Mid-market
- +Email + ads + web
- +Brand library
- +HubSpot/Marketo sync
Recommended
Scale
Custom
Large brands
- +Unlimited campaigns
- +Multi-brand workspace
- +Advanced governance
Enterprise
Custom
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 βAffiliate 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 Β· Free tier; Tofu starts at Subscription. Decagon is the cheaper entry option. For team deployments the TCO can differ β 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 β neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Readers comparing Decagon and Tofu also picked
Adjacent agents in the same category with overlapping capabilities β worth a side-by-side glance before you commit.
Multilingual customer-support AI agents with local deployment teams in 30 countries.
Tool useMemoryVoiceRAGResolution-based AI agent built into Intercom β pays for what it actually deflects.
RAGTool useMemoryDemo Β· hover to play
See more alternatives: alternatives to Decagon Β· alternatives to Tofu
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