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facebookresearch / meta-agents-research-environments

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

Why this job: topics: multi-agent-systems, autonomous-agents, agents

Scenario DAG Visualization

What it does

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.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 40 days ago
Stars
578
+1 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
85% of the code

Is it looked after?

Contributors
2
Last 90 days
Issues
44% closed
19 still open
Pull requests
10 merged
32 waiting
Releases
None
Never published
More: languages, topics and project record

Languages

  • Python 85%
  • TypeScript 13%
  • Shell 1%
  • Dockerfile 1%

Topics

  • agents
  • ai
  • autonomous-agents
  • benchmark
  • evaluation
  • large-language-models
  • llm
  • meta
  • multi-agent-systems
  • natural-language-processing
  • reinforcement-learning
  • rl

Project record

  • JobAgent frameworks
  • StatusListed
  • Commits32
  • Forks87
  • Watching7
  • Stars in 28 days+14
  • CreatedSep 11, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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