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Alternatives

Products that do what LLMTester does

Platform to automate conversational chatbots

  1. 1IB

    Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.

    Apr 2026 · github.com

  2. 2

    Test-driven development for LLMs

    2023

  3. 3

    Build powerful conversational AI agents

    2024

  4. 4IB

    I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see…

    2024 · github.com

  5. 5

    A UI Kit for Transactional LLM apps

    2025

  6. 6LS
  7. 7

    Revolutionize LLMs chat platform with pay-as-you-go pricing

    2025

  8. 8

    Combine the best AI/LLMs to build your Custom ChatGPT

    2023

  9. 9PE

    Spelltest framework simulates conversations between AI ‘synthetic users' in an environment to test and refine LLM-based applications. It ensures your app converse with utmost accuracy and relevance. Post-chat, Spelltest assesses responses, providing qualitative and quantitative feedback on performance. Suitable for both chat and completion modes. When to use: - After modifying your prompt. - When your LLM provider updates. - As a CI step for you repo. All feedback and collaborations appreciated!

    2023 · github.com

  10. 10
    Dolly113

    Democratizing the magic of ChatGPT with open models

    2023

  11. 11LS

    LLMStack is a low-code platform that can be used to build LLM apps, chatbots and integrate AI experiences into existing products/workflows. It comes with everything out of the box that one needs to build LLM apps locally. It can also be used in a multi-tenant setting, making it available for everyone to use in an enterprise. Some highlights of the platform: - Chain multiple LLM models allowing for complex pipelines - Includes a vector database and necessary connectors to help enrich LLM responses with private data - App templates tailored to specific use cases to quickly build LLM apps…

    2023 · github.com

  12. 12

    No-code automated chatbot testing

    2024

  13. 13
    alphachat122

    Automate your SaaS support with powerful conversational AI

    2021

  14. 14IB

    I’ve been playing around with local LLMs for the past couple of months and decided to build something that can run on an iPhone. It’s a universal app built with SwiftUI and the excellent ggml library. The model is an SFT fine tuned and 4 bit quantised version of the RedPajama-INCITE-Chat-3B-v1 OSS LLM. It works reasonably well on recent-ish (~3 year old) iPhones, iPads and Macs. It was launched on the App Store yesterday[1] and Product Hunt today[2]. It seems to be reasonably ok at natural language interactions, but given its size, does pretty badly at coding and reasoning. Also, it…

    2023

  15. 15KL
  16. 16
    liteLLM120

    One library to standardize all LLM APIs

    2023

  17. 17CT
  18. 18CS
  19. 19

    Connect LLM chats directly to your file system

    2025

  20. 20
    LangBot21

    Easy-to-use global IM bot platform designed for the LLM era

    2025

  21. 21

    Engage in free conversations with advanced LLMs.

    2025

  22. 22

    The context manager and skills library for marketing teams

    Apr 2026 · promptr.ai

  23. 23

    Engage in free conversations with advanced LLMs.

    2025

  24. 24

    I made this experimental art project/game that's an LLM chat assistant, but where you're the AI. I wanted people to get a visceral sense of what it's like to answer the kinds of things that people prompt their chatbots day in and day out. If you're interested, I wrote up some more info on how I made it, including how the "user" prompts are generated with an eye for realism: https://bethechatbot.com/about Hope you enjoy it! I'd love to hear people's takeaways.

    Jul 2026 · bethechatbot.com

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