Explore/framework/meta-agents-research-environments
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facebookresearch/meta-agents-research-environmentsActive

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.

frameworkPythonMIT
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OverviewActivity52wAlternativesDocs
Stars550
Forks74
HF Downloads30d
Last commit5d ago
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Project healthActiveLast commit 5d ago.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesMITVerify license before production use.
AgentHub Score
75 / 100
Composite score from 6 signals. How we score →
Active project
75Score
Growth
89A
Activity
90A
Documentation
70C+
Maturity
77B
Community
89A
Production
58C
GitHub stars · 35 days observed550 +2.81% / 30d
snapshots
Repository activity · 35 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-31
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguagePython
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

75
Score 75/100
Above average

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Recent activity

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