AI Berkshire vs Feynman
Side-by-side comparison of two AI agent tools
Short answer
- AI Berkshire is growing faster: +230 GitHub stars in the last 30 days vs +140 for Feynman.
- Pick AI Berkshire for: value investing research framework for Claude Code and Codex with multi-agent adversarial analysis. Pick Feynman for: the open source AI research agent.
From GitHub data refreshed daily.
A
AI Berkshireopen-source
Value investing research framework for Claude Code and Codex with multi-agent adversarial analysis
F
Feynmanopen-source
The open source AI research agent.
Metrics
| AI Berkshire | Feynman | |
|---|---|---|
| Stars | 16.6k | 9.9k |
| Star velocity /mo | 230 | 140 |
| Commits (90d) | 340 | 493 |
| Releases (6m) | 1 | 10 |
| Downloads (30d, npm + PyPI) | — | 142.6K |
| Overall score | 0.6557069155905351 | 0.726140081301661 |
FAQ
- Which is more popular, AI Berkshire or Feynman?
- AI Berkshire has more GitHub stars (16,602 vs 9,865).
- Which is more actively developed, AI Berkshire or Feynman?
- Feynman had more commits in the last 90 days (493 vs 340).
- Should I use AI Berkshire or Feynman?
- 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.