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AI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

frameworkPythonMIT
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Refreshed 5h ago
OverviewActivity52wAlternativesDocs
Stars16.0k
Forks2.4k
HF Downloads30d
Last commit1d ago
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Project healthActiveLast commit 1d ago.
Production readinessMVP-readySuitable for non-critical production use.
Risk notesMITVerify license before production use.
AgentHub Score
87 / 100
Composite score from 6 signals. How we score →
Active project
87Score
Growth
98A+
Activity
96A+
Documentation
70C+
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 35 days observed16.0k +8.47% / 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

87
Score 87/100
Top performer

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