Meta Agents Research Environments (ARE) is a simulation and benchmarking platform. It is designed to evaluate AI agents in dynamic, evolving, multi-step tasks. Unlike static benchmarks, ARE supports environments where agents must adapt to changes over time and reason over sequences of actions. It interacts with applications and faces uncertainty. The included Gaia2 benchmark offers 800 scenarios across multiple “universes”. It can test reasoning, memory, tool use, and adaptability. Integration with simulated applications/agent APIs (email, file system, etc.). Support for multiple AI model backends/providers.
Features
- Dynamic environments that evolve over time (non-static tasks)
- Multi-step reasoning and long-horizon tasks
- Integration with simulated applications / agent APIs (email, file system, etc.)
- CLI tools (scenario runner, benchmark runner, GUI)
- Support for multiple AI model backends / providers
- Benchmark framework (Gaia2) and validation systems
Project Samples
Categories
Artificial IntelligenceLicense
MIT LicenseFollow Meta Agents Research Environments (ARE)
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