Vercel Eve

Vercel Eve

Vercel Eve - Build and deploy production AI agents with tools, skills, workflows, sandboxes, and channels

Vercel Eve cover

Overview

Vercel Eve

Vercel Eve is a developer framework for creating, deploying, and operating production AI agents on Vercel infrastructure. It gives agent projects a structured format with instructions, TypeScript tools, reusable skills, channels, schedules, connections, and subagents, making agent development feel closer to building a modern software application than writing an isolated prompt.

The framework is described as being like Next.js for web apps, but for agents. That comparison captures Eve's main value: it provides conventions, runtime primitives, and deployment pathways so teams can build agentic systems with less custom infrastructure. Developers can define tools as TypeScript files, write skills in Markdown, connect external services, and compose specialized subagents for delegated tasks.

Durability is a major focus. Eve uses Vercel Workflows to support checkpointing and resume behavior, which helps agents complete longer-running tasks more reliably. Built-in sandbox environments allow agents to access files, execute shell commands, and run code in isolated compute environments. This is important for agents that interact with repositories, APIs, or operational workflows.

Eve also supports deployment across many channels, including Slack, Discord, Microsoft Teams, web chat, APIs, cron jobs, WhatsApp, and more. This lets teams build one agent project and expose it where users actually work. Production features such as observability, evaluations, governance, approval gates, and sandboxed compute make the framework relevant for teams moving beyond prototypes.

For developers already using Vercel, TypeScript, Workflows, AI Gateway, Sandbox, or Connect, Vercel Eve provides a coherent way to build reliable AI agents that can run in real production workflows.

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