Best agent frameworks for frontend agent UIs
Frontend agent UIs need streaming responses, tool call visibility, provider abstraction, and safe browser or API interactions.
Vercel AI SDK
TypeScript toolkit for building AI-powered applications, streaming interfaces, tools, and agent-like workflows.
Mastra
TypeScript agent framework for building AI applications with agents, tools, workflows, and application integrations.
OpenAI Agents SDK
Framework for building agents with tools, handoffs, guardrails, tracing, and model orchestration.
Context7 MCP Server
MCP server for retrieving current documentation and code examples for libraries and frameworks.
Ranking signals
| Signal | Weight | Rationale |
|---|---|---|
| Streaming UI | 5 | Frontend agent experiences need incremental output and tool call visibility. |
| Provider abstraction | 4 | UI stacks often need to switch models or gateways without rewriting the interface. |
| Tool safety | 4 | Browser and API actions need clear review boundaries before external side effects. |
Source boundary
Scenario recommendation is derived from streaming UI, tool calling, HTTP API risk, and documentation context metadata in this graph.
What should frontend agent UI stacks optimize for?
Frontend agent UI stacks should optimize for streaming responses, visible tool calls, provider abstraction, and explicit review for API or browser side effects.
How should teams choose between Vercel AI SDK and Mastra?
Choose Vercel AI SDK for streaming UI and provider abstraction. Choose Mastra when the project needs a broader TypeScript agent framework with workflows, tools, and app integration patterns.