Explore/framework/scholar-loop
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renee-jia/scholar-loopStale

An autonomous AI scientist: a multi-agent loop over literature, experiments, self-critique and write-up, with deterministic guards against reward-hacking and hallucination.

frameworkPythonMIT
GitHubCompare
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OverviewActivity52wAlternativesDocs
Stars468
Forks35
HF Downloads30d
Last commit2mo ago
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Project healthStaleNo commits in 62d.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesMITVerify license before production use.
AgentHub Score
63 / 100
Composite score from 6 signals. How we score →
Active project
63Score
Growth
88A
Activity
68C+
Documentation
70C+
Maturity
73B
Community
87A
Production
58C
GitHub stars · 28 days observed468 not enough history
snapshots
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

63
Score 63/100
Below average

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Recent activity

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