head to head · open source
CL4R1T4S vs shuorenhua
CL4R1T4S has 51,524 GitHub stars, 10,531 forks, 127 open issues and last shipped 1 months ago. shuorenhua has 2,296 stars, 86 forks, 1 open issues and last shipped 2 days ago. CL4R1T4S leads on adoption by 2,144% (51,524 vs 2,296 stars). CL4R1T4S is written in various languages under AGPL-3.0; shuorenhua is written in Python under MIT. CL4R1T4S has attracted 20% as many forks as stars, shuorenhua 4%. shuorenhua was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (chatgpt, prompt, prompt-engineering), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| CL4R1T4S | shuorenhua | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 2.3K |
| License | AGPL-3.0 | MIT |
| Written in | — | Python |
| Last push | 2026-09-22 | 2026-10-26 |
| Forks | ⑂ 11K | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick CL4R1T4S if
- You weight community size — 52K stars and counting
- You want the AGPL-3.0 license terms
- You value the larger contributor base for long-term maintenance
pick shuorenhua if
- You want the shuorenhua feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and shuorenhua fits your workflow better
About CL4R1T4S
CL4R1T4S AI SYSTEMS TRANSPARENCY AND OBSERVABILITY FOR ALL! Full extracted system prompts, guidelines, and tools from OpenAI, Google, Anthropic, xAI, Perplexity, Cursor, Windsurf, Devin, Manus, Replit, and more – virtually all major AI models + agents! 📌 Why This Exists "In order to trust the output, one must understand the input." AI labs shape how models behave using massive, unseen prompt scaffolds. Because AI is a trusted external intelligence layer for a growing number of humans, these hidden instructions can affect the perceptions and behavior of the public. These prompts define: What AIs can’t say What…
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About shuorenhua
说人话是一份装进 Claude Code、Codex、ChatGPT 等工具里的改稿规则（skill）。把写好的文字交给它，它会删掉套话、重复铺垫和生硬句式，交回一版能直接用的稿子。数字、条件、承诺和你的口气保持原样，本来就没问题的文字不动。 一行命令装好，Claude Code、Codex、Cursor 都能用，其他方式见安装： 看不清图？这里是文字版，可以复制去试 原文： 大家好，下面我来给大家详细汇报一下本周的进展情况。本周我们完成了对重试策略的调整工作。重试策略已经调整过了。值得注意的是，调整之后，重复请求从每天 24 次降到了 7 次。如果周五前没有出现新的报错，我们会把这个改动合进主分支。以上就是本周的全部进展，感谢大家的关注！ 改后： 本周我们调整了重试策略，重复请求从每天 24 次降到了 7 次。如果周五前没有出现新的报错，我们会把这个改动合进主分支。 请求是「把这段去掉套话，保留信息和我的口气」，由 GPT 6.1 sol 加载 v2.6.0 跑出，输出没有手改。同一段交给 Claude Opus 5.5，结果只多留了「调整之后，」。 安装 Claude Code Codex、Cursor 和其他支持 skills 的工具 运行后选择要装到哪些工具。加 global 装到用户目录，所有项目都能用。 ChatGPT ：直接用说人话 GPT，不用安装。 想手动复制文件、装到…
read the full shuorenhua overview →
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Frequently asked questions
Is CL4R1T4S or shuorenhua more popular?
CL4R1T4S has 51,524 GitHub stars and shuorenhua has 2,296. CL4R1T4S has the larger community by that measure.
Are CL4R1T4S and shuorenhua free?
Both are open source. CL4R1T4S is licensed under AGPL-3.0 and shuorenhua under MIT. Neither carries a licence fee.
What is the difference between CL4R1T4S and shuorenhua?
CL4R1T4S is written in various languages and shuorenhua in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, CL4R1T4S or shuorenhua?
Choose CL4R1T4S if you want the larger community (51,524 stars) or its AGPL-3.0 licence terms. Choose shuorenhua if its feature set, stack or MIT licence fits better. Both are self-hostable.