Agents
eve (Vercel Agent Framework)
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.
In depth
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.
Go deeper at Developers Digest
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
Common questions
What is eve (Vercel Agent Framework)?
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.
Why does eve (Vercel Agent Framework) matter for AI developers?
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.
Where can I learn more about eve (Vercel Agent Framework)?
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
Related terms
Agents
Agent Fleet
A group of AI agents run together under coordination to work through a large body of tasks, often for hours at a time.
Agents
Agent Swarm
A multi-agent pattern where many lightweight agents work on sub-tasks simultaneously without a central orchestrator.
Agents
Fable 5
Anthropic's most capable widely released model, launched June 9, 2026 as the first Mythos-class model available for general use, with a 1M-token context window and up to 128K output tokens at $10 per million input and $50 per million output tokens.
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