This Completely Changes the Way We Build Production AI Agents (Vercel Eve)
Summary
AI summaries can be incomplete or wrong. Verify anything important against the original video.
This video introduces Eve, an open-source AI agent framework that uses a filesystem-first approach for building and deploying agents. It highlights Eve's structure, the role of different file types, and its integration with Vercel for deployment.
This video introduces Eve, a new open-source AI agent framework developed by Vercel. The core concept of Eve is its filesystem-first approach, where an agent is essentially a directory with specific file structures that define its behavior. The agent's core capabilities are exposed in conventional locations within this directory, making projects easy to inspect, extend, and operate. The video walks through the typical structure of an Eve agent, including agent.ts for model and runtime configuration, instructions.md for the core prompt, tools/ for typed functions, skills/ for on-demand procedures, and channels/ for integration with platforms like Slack and Discord. It emphasizes the simplicity of building agents by treating them as directories and then using 'eve build' to compile them into a deployable service. The presentation demonstrates running an Eve agent, interacting with it via Slack, and leveraging its tools to query a database. The speaker also touches on the integration with Vercel for deployment, highlighting the framework's ability to scale and maintain reliability.
Concepts introduced
LockedKey Points
LockedWorth watching if: Developers interested in building and deploying AI agents in a structured, filesystem-based way will find this video valuable. It provides a practical overview of the Eve framework and its deployment capabilities.
Sign in to unlock the full extract
Every claim, key point, and timestamp for this Cole Medin video — plus a daily email of every channel you follow.
Sign in with GoogleNo credit card. Free tier forever.