AI agents become much more useful when they are designed for a specific job instead of trying to do everything.
That is why I built EveAgents: a growing collection of open-source AI agents built for the Eve framework. Each agent has a defined role, a practical workflow, domain-specific instructions, safety guardrails, and optional integrations for the tools teams already use.
In this article, I will show you how to deploy an agent on Railway and introduce ten agents from the collection that cover engineering, product, analytics, customer success, marketing, finance, productivity, and research.
What I wanted to build
I did not want these agents to be a collection of vague system prompts.
