xbtlin/ai-berkshire

Agent Frameworks

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.

GitHub →Website →

7.7

GitHub Metrics

Stars

16.1k

Forks

2.4k

Open Issues

Watchers

Contributors

Weekly Commits

Language

Python

License

MIT

Last Commit

Aug 31, 2026

Created

Apr 7, 2026

Latest Release

v1.0.0

Release Date

Apr 7, 2026

Synced: Sep 1, 2026

Quality Scores

Documentation Qualityw: 20%

7.6

Has docs site (https://github.com/xbtlin/ai-berkshire#readme). Description: 225 chars. Stars signal: 16,095. Contributors: 15. Score: 7.6/10

Community Healthw: 20%

7.3

Stars: 16,095. Contributors: 15. Watchers: 98. Forks: 2,420. Issue ratio: 0.2%. Score: 7.3/10

Maintenance Velocityw: 15%

8.3

Last commit: 1d ago. Weekly commits: 7. Latest release: v1.0.0. Score: 8.3/10

API Design & DXw: 20%

8.3

Stars/issues ratio: 460. Dynamic language: Python. Has documentation site. Permissive license: MIT. Popularity signal: 16,095 stars. Score: 8.3/10

Production Readinessw: 15%

6.4

Battle-tested: 16,095 stars. Peer review: 15 contributors. Versioned: v1.0.0. Licensed: MIT. Age: 0.4 years. Maintenance: last commit 1d ago. Score: 6.4/10

Ecosystem Integrationw: 10%

8.6

Fork interest: 2,420. Major ecosystem: Python. Integration-friendly: MIT. Adoption: 16,095 stars. Has web presence. Score: 8.6/10