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[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?

frameworkPythonMIT
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Forks52
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Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesMITVerify license before production use.
AgentHub Score
68 / 100
Composite score from 6 signals. How we score →
Active project
68Score
Growth
87A
Activity
82B+
Documentation
50C
Maturity
75B
Community
86B+
Production
58C
GitHub stars · 28 days observed407 not enough history
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Repository activity · 28 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-24
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

68
Score 68/100
Above average

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