AGKit vs Vercel AI SDK
Choose AGKit when you want application actions connected to a managed Cloud control plane across your app integrations.
The AI SDK provides model APIs, tool calling, agents, and UI integrations. Its Expo guide connects a mobile client to an API route.
 AGKit | Vercel AI SDK | |
|---|---|---|
| Application stack | Swift, Android, React Native, and Web; one Cloud backbone | TypeScript; React, other web frameworks, and Expo |
| Application actions | Agent runtime, tool contracts, permission hooks, and cancellation | Tool calling, agent workflows, and UI hooks |
| Configuration | Cloud-managed model tiers, credentials, and agent profiles | Provider abstractions and gateway integrations |
| Production controls | End-user identity, project/user budgets, and configured attestation | Compose application and hosting controls |
| Application responsibility | Tool implementation, state validation, approvals, and actual undo | API route plus client integration in the Expo guide |
Choose your platform and access path for SDK availability and setup. Guard and confirmation support depends on the SDK execution path you integrate.
Where Vercel AI SDK fits
Your team works in TypeScript and wants to compose model providers, agent logic, and interface hooks. The Expo integration extends that workflow to mobile applications.
Where AGKit fits
You want one Cloud backbone across your application integrations. Model routes, profiles, credentials, and spending controls live in Cloud rather than in each client’s model configuration.
What your team implements
The AI SDK Expo guide includes both an API route and a client integration. With either approach, your app owns its actions, authorization, state changes, and recovery experience.