EvoAgentX

Why we included this project

Hand-rolling multi-agent workflows usually means re-tuning prompt chains every time the task changes. EvoAgentX takes a different route: you describe a goal in plain language, and it builds a structured multi-agent workflow to match, then evaluates how well that workflow performs with built-in evaluators and iterates on it automatically. Instead of editing orchestration logic by hand, the framework refines the workflow against your own dataset and success criteria, much like continuous testing in software development. It also includes short- and long-term memory plus a library of tools for search, coding, and browser and file work, so agents can act rather than only generate text. That makes it a practical fit for researchers and engineers who want agentic systems that keep improving without constant hand-tuning.