Alternatives

Products that do what ReasonGate- An explainable gate that blocks LLM prompt injection does

1. 1LJ
   LLVM-jutsu: Anti-LLM obfuscation pass▲8

   Dec 2025 · github.com

2. 2RA
   Rhine – A typed Elixir-inspired language on LLVM▲81

   2016 · github.com

3. 3PS
   PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling▲6

   2024 · promptql.hasura.io

4. 4PL
   PromptFlow – Low-Code GUI Tool to Chain LLM Prompts with Flowcharts▲7

   2023 · github.com

5. 5AO
   An open-source code scanner to find issues in prompts and LLM calls▲5

   2025 · github.com

6. 6PT
   Pas – The ultimate password manager script▲10

   2017 · github.com

7. 7IL
   ICortex: LLM Powered Python Interpreter▲8

   2023 · github.com

8. 8CT
   CVibe – The NPM of Prompts▲5

   Sep 2025 · cvibe.dev

9. 9
   Selvum – a password manager designed to outlive its developer▲7

   20d ago · selvum.app

10. 10
    Tokensift, an open-sourced token-efficiency linter for LLM prompts▲6

    Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift

    8d ago · github.com

11. 11BS
    BonzAI – self-sovereign, local LLM inference in the browser▲5

    May 2026 · bonzai.sh

12. 12PA
    PassMan – A Secure Password Manager Written in Bash▲7

    2017 · github.com

13. 13PB
    PromptFlow – Build LLM flows as directed graphs▲6

    2023 · github.com

14. 14VF
    Viveka: filter LLM output against a Lean-verified Advaita Vedanta model▲7

    Jun 2026 · github.com

15. 15QA
    QSpeak – An alternative for WisprFlow supporting local LLMs and Linux▲6

    2025 · qspeak.app

16. 16CL
    Char-level RNN LSTM password cracker▲6

    2018 · github.com

17. 17OP
    One Prompt – A super framework for prompt engineering▲6

    2024 · github.com

18. 18LL
    Low latency LLM prompt injection/jailbreak detection▲5

    2024 · 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. 20AA
    Axe – A CLI for running single-purpose LLM agents▲6

    Mar 2026 · github.com

21. 21AM
    An MCP that allows you break LLM's context limit▲5

    Sep 2025 · github.com

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