head to head · open source

CL4R1T4S vs AutoPrompt

CL4R1T4S has 51,737 GitHub stars, 10,551 forks, 127 open issues and last shipped 1 months ago. AutoPrompt has 3,022 stars, 265 forks, 23 open issues and last shipped 11 months ago. CL4R1T4S leads on adoption by 1,612% (51,737 vs 3,022 stars). CL4R1T4S is written in various languages under AGPL-3.0; AutoPrompt is written in Python under Apache-2.0. CL4R1T4S has attracted 20% as many forks as stars, AutoPrompt 9%. CL4R1T4S 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.

CL4R1T4S ★ 52K AutoPrompt ★ 3.0K category AI & Machine Learning

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Side by side

CL4R1T4S AutoPrompt
GitHub stars ★ 52K ★ 3.0K
License AGPL-3.0 Apache-2.0
Written in — Python
Last push 2026-09-22 2025-12-02
Forks ⑂ 11K ⑂ 265
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

full CL4R1T4S profile →

pick AutoPrompt if

  • You want the AutoPrompt feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and AutoPrompt fits your workflow better

full AutoPrompt profile →

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 AutoPrompt

📝 AutoPrompt Auto Prompt is a prompt optimization framework designed to enhance and perfect your prompts for real world use cases. The framework automatically generates high quality, detailed prompts tailored to user intentions. It employs a refinement (calibration) process, where it iteratively builds a dataset of challenging edge cases and optimizes the prompt accordingly. This approach not only reduces manual effort in prompt engineering but also effectively addresses common issues such as prompt sensitivity and inherent prompt ambiguity issues. Our mission: Empower users to produce high quality robust…

read the full AutoPrompt overview →

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Frequently asked questions

Is CL4R1T4S or AutoPrompt more popular?

CL4R1T4S has 51,737 GitHub stars and AutoPrompt has 3,022. CL4R1T4S has the larger community by that measure.

Are CL4R1T4S and AutoPrompt free?

Both are open source. CL4R1T4S is licensed under AGPL-3.0 and AutoPrompt under Apache-2.0. Neither carries a licence fee.

What is the difference between CL4R1T4S and AutoPrompt?

CL4R1T4S is written in various languages and AutoPrompt 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 AutoPrompt?

Choose CL4R1T4S if you want the larger community (51,737 stars) or its AGPL-3.0 licence terms. Choose AutoPrompt if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.