vercel-eve

Build durable backend AI agents with the Vercel Eve framework.

40|6|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/magnus919/agent-skills --skill vercel-eve
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vercel-eve
Source: https://github.com/magnus919/agent-skills/tree/main/vercel-eve
Command: npx skills add https://github.com/magnus919/agent-skills --skill vercel-eve

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the challenge of building AI agents that are more than just simple chat interfaces by providing a structured, filesystem-first framework for durable, stateful, and observable backend agent development.

Core Features & Use Cases

  • Durable Workflows: Ensures agent tasks survive restarts and deployments through managed state persistence.
  • Modular Architecture: Organizes agent logic into predictable boundaries like tools, skills, subagents, and channels.
  • Production Readiness: Provides clear paths for self-hosting, authentication, sandboxing, and OpenTelemetry-based observability.
  • Use Case: Use this skill to build a complex customer support agent that handles long-running ticket resolutions, maintains state across multiple days, and integrates securely with internal databases and APIs.

Quick Start

Initialize a new agent project by running the npx eve@latest init my-agent command in your terminal.

Frequently Asked Questions about vercel-eve

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build durable backend AI agents that survive server restarts?

Building durable AI agents requires Vercel Eve with managed state persistence to ensure reliable execution across restarts. It requires Node.js 24+ and persistent storage for workflow state to maintain tasks during deployments.

What is a durable workflow in backend agent development?

A durable workflow is a stateful execution process that ensures agent tasks survive restarts and deployments. Vercel Eve uses persistent storage to maintain workflow state, allowing long-running processes to resume reliably without data loss.

How do I get started building stateful AI agents with Vercel Eve?

To start building stateful AI agents, initialize a new project by running the npx eve@latest init my-agent command in your terminal. This sets up the filesystem-first framework with modular boundaries for tools, skills, and subagents.

Does Vercel Eve support OpenTelemetry for observability?

Yes, Vercel Eve provides OpenTelemetry-based observability for monitoring backend agent workflows. It includes clear paths for production readiness with secure self-hosting, authentication, and sandboxing to ensure secure operations.

Do I need persistent storage for durable AI agent workflows?

Yes, you need persistent storage for workflow state to ensure reliable execution across restarts. Vercel Eve relies on this storage to maintain stateful workflows, allowing agents to handle long-running tasks like multi-day ticket resolutions.

Why use a filesystem-first framework for production-ready AI agents?

A filesystem-first framework organizes agent logic into predictable boundaries like tools, skills, subagents, and channels. Vercel Eve uses this modular architecture to solve the challenge of building stateful, observable backend agents beyond simple chat interfaces.