Alternatives

Products that do what Inject hidden prompt in LLMs using Base64 encoding does

1. 1PR
   Promptui – Rich UI elements for cli prompts in Go▲196

   2017 · github.com

2. 2SH
   SpeakingJpg – Hide encrypted text messages inside jpeg images▲34

   2017 · github.com

3. 3IC
   I created an off-the-grid password manager that you can save to a file▲48

   2021 · passpilot.com

4. 4CB
   "crzy64", base64 mod aimed for fastest decoding▲47

   2021 · github.com

5. 5EB
   Encode Base64▲5

   2025 · encodebase64.io

6. 6LJ
   LLVM-jutsu: Anti-LLM obfuscation pass▲8

   Dec 2025 · github.com

7. 7RA
   ReasonGate- An explainable gate that blocks LLM prompt injection▲7

   Jul 2026 · github.com

8. 8ID
   Interactive DOS prompt in an HTML5 canvas▲26

   2014 · github.com

9. 9LL
   Low latency LLM prompt injection/jailbreak detection▲5

   2024 · github.com

10. 10AL
    An LLM translator whose source is a single prompt▲5

    May 2026 · github.com

11. 11CL
    Compress Long LLM Prompt, Right in your web browser▲5

    I tried to port LLMLingua-2's official Python implementation into TypeScript. For best performance, open the URL with a WebGPU enabled web browser. Learn More: https://github.com/atjsh/llmlingua-2-js

    2025 · atjsh.github.io

12. 12PL
    PromptFlow – Low-Code GUI Tool to Chain LLM Prompts with Flowcharts▲7

    2023 · github.com

13. 13TL
    `tc` like `wc` but for LLM tokens▲8

    Little tool that I made to understand how (un)reasonable my prompts are.

    Jan 2026 · github.com

14. 14AM
    Audio Mastering with Text Prompts▲8

    2024 · diktatorial.com

15. 15DS
    DOM snapshot for LLMs (demo + code)▲5

    Oct 2025 · substack.com

16. 16IM
    Input masking library▲5

    2016 · github.com

17. 17I8
    ISO 8583 simulator in Python with LLM-powered message explanation▲6

    Jan 2026 · github.com

18. 18MV
    Minimum Viable Bash Prompt▲12

    2019 · github.com

19. 19IB
    I built an open-source “unit testing” suite for prompts ⮂ inputs▲5

    Hi HN, I'm pleased to share Promptspot, an open-source (Apache License 2.0) project that helps automate testing of large language model (LLM) prompts against an array of input data. Modern LLMs offer an enormous amount of leverage if you "teach the bot to fish" — i.e. simply prompt it with both a "system prompt" (which typically doesn't change often) and a dynamic input, which is often application state, search results, recent activity, user profile data, etc. Existing playgrounds and prompt management systems often lack the rigor and flexibility required for this dynamic approach — and as…

    2023 · github.com

20. 20PM
    Prompt management system inside your codebase▲5

    2023 · github.com

21. 21EL
    Execute local prompts in SSH remote shells▲7

    Instead of giving LLM tools SSH access or installing them on a server, the following command: $ promptctl ssh user@server makes a set of locally defined prompts "magically" appear within the remote shell as executable command line programs. For example, I have locally defined prompts for `llm-analyze-config` and `askai`. Then on (any) remote host I can: $ promptctl ssh user@host # Now on remote host $ llm-analyze-config /etc/nginx.conf $ cat docker-compose.yml | askai "add a load balancer" the prompts behind `llm-analyze-config` and `askai` execute on my local computer (even though…

    Mar 2026 · docs.promptcmd.sh

22. 22LF
    Library for building a powerful interactive prompt in Golang▲5

    2017 · github.com

23. 23AS
    A static scanner for LLM app code▲6

    2025 · github.com

24. 24PS
    PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling▲6

    2024 · promptql.hasura.io

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