Agents
Vercel's framework for building AI agents where you define an agent as a folder of files - model config, system prompt, and one typed tool per file - and eve compiles it into an app on Vercel Functions.
Vercel's framework for building AI agents where you define an agent as a folder of files - model config, system prompt, and one typed tool per file - and eve compiles it into an app on Vercel Functions. It supplies the production plumbing agents usually hand-roll: durable sessions, a sandbox for code execution, approvals, subagents, and evals. It pairs naturally with long-horizon models like Fable 5 that run long enough to hit crashes, redeploys, and timeouts.
Example
It pairs naturally with long-horizon models like Fable 5 that run long enough to hit crashes, redeploys, and timeouts.
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
Vercel's framework for building AI agents where you define an agent as a folder of files - model config, system prompt, and one typed tool per file - and eve compiles it into an app on Vercel Functions.
eve (Vercel Agent Framework) sits in the Agents part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Agents topics including eve (Vercel Agent Framework). Check the blog and YouTube channel for hands-on walkthroughs.
Related
The infrastructure that runs evals end to end: it feeds tasks to the model or agent, records every step, applies graders, and aggregates the results into scores.
A way of building AI systems where you write evals for a capability before the agent can do it, then iterate on prompts, tools, and harness until the evals pass.
A multi-agent mechanism where one agent passes control of the conversation to a more specialized agent, rather than calling it as a subroutine.

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.