“The others make the easy part easier. Vercel makes the hard part easy” – direct quote today from tech lead for AI agent platform built on http://eve.dev at 55,000+ person company.

They wanted to have their company’s all-knowing agent, like our @𝚟. Tried @aisdk, good but too low level. Tried off-the-shelf solutions and ${⁠lab} Enterprise products, expensive and inflexible. Tried agent frameworks, which led to the quote above… didn’t hit the spot.

@evedev_ team cooked. It’s hard to find the abstraction that’s both easy and scales with sophistication.

eve – durable AI agent framework

Source: https://eve.dev/

Build durable agents with eve

Like Next.js for agents. Build durable agents with one folder.

$npx eve@latest init my-agent

Works natively with React and Next.js

Wrap your config withwithEve()and the agent mounts into your existing app. Same dev server, same deploy.useEveAgent()finds its routes on its own, so there’s no CORS to configure and no URL env vars to keep in sync.

Built on open-source SDKs, yours to self-host

Swap any backend and self-host the whole runtime, with zero managed-infrastructure dependencies.

You can deploy anywhere. Postgres-backed durability, Docker sandbox, Ansible deploy, zero managed services.See the example

Everything you need for production agents

Durability, sandboxing, human-in-the-loop, and evals are built into the framework. Focus on building your agent.

• Workflows survive crashes and restarts. Every step is checkpointed. Agents park when waiting, resume on the next message.
• Agents run code in isolated sandboxes. File system access, bash execution, and code, all fully isolated.
• One agent codebase deploys to web chat, Slack, API, cron, CLI, and custom apps.
• Tools that need confirmation trigger approval gates. Sessions park until resolved, then resume seamlessly.
• Delegate specialized work to child agents with their own prompts, tools, and sandbox.
• Define test suites with scoring rubrics. Run evals on every deployment and on a schedule.