Decagon vs Mem Agents: 2026 comparison
Conversational support agents that resolve tickets like your best reps.
Self-organizing memory agent that captures and surfaces what matters.
Decagon vs Mem Agents — specs
| Spec | Decagon | Mem Agents |
|---|---|---|
| Agent Rank | 72 / 100 (A) | 70 / 100 (B) |
| Autonomy | Autonomous | Assistant |
| Pricing | Subscription · Free tier | Freemium · from $10 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Memory, RAG, Tool use |
| Integrations | 3 apps | 3 apps |
| Verified | Verified | Verified |
| Released | Apr 2025 | Mar 2025 |
Agent Rank breakdown
- 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?
- Autonomy fit
- 7
- Capabilities
- 6
- Integrations
- 6
- Pricing value
- 8
- 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
- +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
- +Self-organizing memory — surfaces what matters without manual tagging
- +Strong agent search across email, Slack, Drive
- +Cheap entry tier for a daily-driver knowledge layer
- −Acts as memory, not action — pair with another agent for execution
- −Integration depth varies by app
- −Team features still maturing vs Notion / Mem.ai competitors
Pricing
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
- +1,000 memories
- +Standard search
- +Unlimited memories
- +Agent search
- +Integrations
- +Shared memories
- +Workspace controls
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 Mem Agents if its specific capabilities (Memory, RAG) match what you need.
Try Mem Agents →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Mem Agents 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 Mem Agents if its specific capabilities (Memory, RAG) match what you need. Most working teams running both can use Decagon for primary work and Mem Agents for the workflows where its specific strengths matter.
What's the price difference between Decagon and Mem Agents?+
Decagon starts at Subscription · Free tier; Mem Agents starts at Freemium · from $10. 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 Mem Agents?+
Decagon is the more autonomous of the two (Autonomous vs Assistant). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.