Comparison
ResolveKit vs Decagon
Decagon is an enterprise AI agent platform valued at $4.5B. ResolveKit is an open-source SDK that embeds AI resolution directly inside your mobile app. Both aim to automate support — they differ fundamentally in architecture, audience, and cost.
| Feature | Decagon | ResolveKit |
|---|---|---|
| Architecture | Enterprise AI agent platform | Native embedded SDK (iOS + Android) |
| Where resolution happens | External agent interface (web dashboard) | Inside your app — native screen, same context |
| Product context | Connected via integrations and APIs | Deep — SDK has access to app state, screen, version, workflows |
| Can take action | Yes — via API integrations | Yes — native function calls with approval guardrails |
| Approval system | Basic — configured per integration | Policy-based approvals, user consent, operator control |
| Session traces | Conversation and action logs | Full traces: context, proposals, approvals, outcomes |
| Open source | No — proprietary enterprise platform | Yes — MIT SDKs, AGPL backend, fully auditable |
| Self-host option | No | Yes — run on your own infrastructure, bring your own LLM keys |
| Mobile support | Web-based agent interface | Native iOS (SwiftUI + UIKit) + Android (Compose + Views) |
| Target audience | Enterprise (Fortune 500) | Startups to enterprise — any team with a mobile app |
| Cost | Enterprise pricing (contact sales) | ~$0.05/resolution typical (Gemini Flash-Lite, BYO) + $0 platform fee |
| Vendor lock-in | High — proprietary platform | None — open source, SDKs are MIT licensed |
Key differences
Where the agent lives
Decagon operates as an external AI agent that connects to your systems via API. ResolveKit embeds directly in your app via a native SDK — the agent has access to the user's exact screen state, app context, and workflow. For mobile apps, this means the user never leaves the product to get help.
Enterprise vs. open source
Decagon is a proprietary enterprise platform with custom pricing and vendor lock-in. ResolveKit is fully open source — MIT license for SDKs, AGPL for the backend. You can inspect every line of code, self-host the entire stack, and switch providers without changing your integration.
Cost and transparency
Decagon pricing is enterprise-level and requires contacting sales. ResolveKit is transparent: the platform is free in both self-hosted and managed modes, and you bring your own LLM keys. Teams often see around $0.05 per resolution with Gemini Flash-Lite, with no platform seat fees or per-resolution markup.
Mobile-native vs. web-first
Decagon's agent interface is web-based. ResolveKit is built as native iOS (SwiftUI + UIKit) and Android (Compose + Views) SDKs from the ground up. The chat view, approval flows, and connection management are all optimized for mobile — not adapted from a web experience.
Can you use both?
Potentially — they serve different segments. Decagon targets large enterprises with complex, multi-channel support operations. ResolveKit is designed for teams with native mobile apps that want in-app resolution before issues escalate. Some enterprises use ResolveKit for in-app self-service and Decagon for handling escalated cases through traditional support channels.
Which should you choose?
Choose Decagon if...
- • You're a Fortune 500 company with a large, multi-channel support operation
- • You need enterprise-grade SLAs, SOC 2, and dedicated account management
- • Your support spans email, phone, chat, and social — not just in-product
- • Budget is not a primary constraint and vendor relationships are preferred
Choose ResolveKit if...
- • You have a native iOS or Android app with in-app support needs
- • You want a free platform with bring-your-own-key model spend
- • Open source and self-hosting are requirements for your security team
- • You want to avoid vendor lock-in with proprietary AI platforms
- • You need AI that can resolve issues in-app, not just route them to agents