eve

eve is a filesystem-first framework for durable AI agents. Core agent capabilities live in conventional locations, so projects are easier to inspect, extend, and operate.

The filesystem is the authoring interface

A typical eve agent has this structure:

my-agent/
└── agent/
    ├── agent.ts            # Optional: model and runtime config
    ├── instructions.md     # Required: the always-on system prompt
    ├── tools/              # Optional: typed functions the model can call
    │   └── get_weather.ts
    ├── skills/             # Optional: procedures loaded on demand
    │   └── plan_a_trip.md
    ├── channels/           # Optional: message channels (HTTP, Slack, Discord)
    │   └── slack.ts
    └── schedules/          # Optional: recurring cron jobs
        └── weekly_recap.ts

Read the documentation for the full project layout and guides.

Quick start

npx eve@latest init my-agent

This creates a new my-agent directory, installs its dependencies, initializes Git, and starts the interactive terminal UI. The generated agent uses openai/gpt-6-luna-fast with high reasoning.

To start with another AI Gateway model, pass its model ID:

npx eve@latest init my-agent --model openai/gpt-5.6-terra

Passing --model without --reasoning uses the provider's default reasoning. Pass --reasoning to set it explicitly.

To add eve to an existing project, pass a path:

cd myapp
npx eve@latest init .

Note

The eve package includes its full documentation, so coding agents can read it locally from node_modules/eve/docs.

A minimal example

The generated project includes an agent directory. Replace agent/instructions.md with:

You are a concise weather demo assistant. Tell users that the weather data is mocked.

Add a mock weather tool at agent/tools/get_weather.ts:

import { defineTool } from "eve/tools";
import { z } from "zod";

export default defineTool({
  description: "Return mock weather data for a city.",
  inputSchema: z.object({ city: z.string().min(1) }),
  async execute({ city }) {
    return { city, condition: "Sunny", temperatureF: 72 };
  },
});

Choose the model in agent/agent.ts:

import { defineAgent } from "eve";

export default defineAgent({
  model: "openai/gpt-6-luna-fast",
  reasoning: "high",
});

For a new scaffold, start the agent again:

npm run dev

That's a working agent. Add human-in-the-loop prompts, subagents, and schedules as needed. Follow the first-agent tutorial for a complete walkthrough.

Add Web Chat

From your agent's directory, link a Vercel project and add Web Chat:

npx eve link
npx eve add channel/web

Choose a hosting layout, then Sign in with Vercel to provision authentication for members of the project's team. You can also select Web Chat from the terminal UI's /add channel picker. Run npx eve deploy when ready to publish. Local development works without browser sign-in. See the Web Chat setup guide for permissions and recovery.

Community

The eve community lives on GitHub Discussions, where you can ask questions, share ideas, and show what you've built.

Contributing

Contributions are welcome. See CONTRIBUTING.md to get the repo running locally and land a change, and use issues and discussions to collaborate. By participating, you agree to our Code of Conduct.

Security

Please do not open public issues for security vulnerabilities. Instead, follow SECURITY.md and report responsibly to responsible.disclosure@vercel.com.

Beta terms

eve is currently in beta and subject to the Vercel beta terms; the framework, APIs, documentation, and behavior may change before general availability.