head to head · open source
CL4R1T4S vs REA-Prompts
CL4R1T4S has 51,503 GitHub stars, 10,526 forks, 127 open issues and last shipped 1 months ago. REA-Prompts has 2,507 stars, 453 forks, 0 open issues and last shipped yesterday. CL4R1T4S leads on adoption by 1,954% (51,503 vs 2,507 stars). CL4R1T4S is written in various languages under AGPL-3.0; REA-Prompts is written in Batchfile under MIT. CL4R1T4S has attracted 20% as many forks as stars, REA-Prompts 18%. REA-Prompts was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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 | REA-Prompts | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 2.5K |
| License | AGPL-3.0 | MIT |
| Written in | — | Batchfile |
| Last push | 2026-09-22 | 2026-10-26 |
| Forks | ⑂ 11K | ⑂ 453 |
| 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 REA-Prompts if
- You want the REA-Prompts feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Batchfile
- You evaluated both and REA-Prompts 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…
read the full CL4R1T4S overview →
About REA-Prompts
REA Investigation Prompts (REAP) — Reverse Engineering with your Coding Agent A curated collection of prompts for REA (Reverse Engineer Anything) — the toolset that lets your AI coding agent inspect how software works, from native binaries, firmware and kernels to games, Electron apps, APKs and websites. Prompts are ready to paste into your agent. Replace everything in and keep each request focused on one feature — narrow questions get evidence backed answers. Star History Install as agent skills (recommended) setup.sh (macOS/Linux) or setup.bat (Windows) copies every prompt section into your coding agent's…
read the full REA-Prompts overview →
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Frequently asked questions
Is CL4R1T4S or REA-Prompts more popular?
CL4R1T4S has 51,503 GitHub stars and REA-Prompts has 2,507. CL4R1T4S has the larger community by that measure.
Are CL4R1T4S and REA-Prompts free?
Both are open source. CL4R1T4S is licensed under AGPL-3.0 and REA-Prompts under MIT. Neither carries a licence fee.
What is the difference between CL4R1T4S and REA-Prompts?
CL4R1T4S is written in various languages and REA-Prompts in Batchfile. 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 REA-Prompts?
Choose CL4R1T4S if you want the larger community (51,503 stars) or its AGPL-3.0 licence terms. Choose REA-Prompts if its feature set, stack or MIT licence fits better. Both are self-hostable.