meta-agents-research-environments

About

A research environment for simulating complex, real-life tasks that require multi-step reasoning and dynamic adaptation.

Meta Agents Research Environments (ARE) is a platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this research platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges. In particular, ARE runs the Gaia2 benchmark, a follow-up to Gaia, evaluating a broader range of agent capabilities.

Looking for the container-based Gaia2-CLI benchmark stack? Start with gaia2-cli.

ARE addresses critical gaps in AI agent evaluation by providing:…