ai-berkshire
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.
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ai-berkshire vs deer-flow
3 of 12 recorded facts differ. Everything below is source-reported with a capture date. Niched has not published a buyer verdict for this pair, so nothing here declares a winner. A winner only exists inside a defined buyer niche with stated constraints.
deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take. deer-flow is open source, written primarily in Python, released under MIT License. Its repository has 78.2K GitHub stars and 10.7K forks, and was last committed to within the last two weeks.
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Show all 12 rows| Fact | ai-berkshire | deer-flow |
|---|---|---|
| GitHub stars | 14.8K | 78.4K |
| Forks | 2.1K | 10.7K |
| Open issues | 30 | 943 |
Where both compete
Both products are placed in AI agents & autonomous workflows. A category organises the market; it carries no score. See all ai-berkshire alternatives.