AI Berkshire vs LobeHub
Side-by-side comparison of two AI agent tools
A
AI Berkshireopen-source
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 / Co
L
LobeHubopen-source
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Metrics
| AI Berkshire | LobeHub | |
|---|---|---|
| Stars | 16.6k | 82.9k |
| Star velocity /mo | 1.4k | 6.9k |
| Commits (90d) | 358 | 2.5k |
| Releases (6m) | 1 | 10 |
| Overall score | 0.7204579007350032 | 0.9378854384961148 |
FAQ
- Which is more popular, AI Berkshire or LobeHub?
- LobeHub has more GitHub stars (82,928 vs 16,579).
- Which is more actively developed, AI Berkshire or LobeHub?
- LobeHub had more commits in the last 90 days (2,461 vs 358).
- Should I use AI Berkshire or LobeHub?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.