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Alternatives

Products that do what ChattyUI does

Run open-source LLMs locally in the browser using WebGPU

  1. 1
    LM Studio209

    Discover, download, and run local LLMs (incl. DeepSeek R1)

    2025

  2. 2
    Dolly113

    Democratizing the magic of ChatGPT with open models

    2023

  3. 3RL

    Deep Chat has just received a huge update! You can now host entire LLMs on the browser. No servers, no connections, run it all in the comfort of your browser. Supported models include popular LLaMA and Mistral LLMs. Check out the Open Source project to add it to your website: https://github.com/OvidijusParsiunas/deep-chat Try it out live in the Deep Chat playground: https://deepchat.dev/playground

    2024 · deepchat.dev

  4. 4AL

    Hi HN! I wanted to share my freshly finished open-source project. It is similar to ChatGPT Code Interpreter, but the interpreter runs locally and it can use open-source models like Llama 2. It allows you to work with sensitive data without uploading it to the cloud. Either you use a local LLM (like Llama 2), or an API (like GPT-4). For the latter case, there is an approval mechanism in the UI, which separates your local data from the remote services. I would be very interested in your valuable feedback!

    2023 · github.com

  5. 5

    Chat with modern LLMs through a old-school terminal

    2025

  6. 6
    Perssua61

    Real-time guidance from any LLM (including local ones)

    Nov 2025

  7. 7
    Chatbox103

    Better UI & Desktop App for ChatGPT, Claude and other LLMs.

    2023

  8. 8AB

    All LLM user interfaces I've seen so far are somewhat frustrating: * ChatGPT web requires a lot of copy-paste, it rewrites whole document even if you need to update a part of it, etc. * Github Copilot completions are rather unreliable and do not leave an option to specify what you want; Copilot's chat sidebar is little more than ChatGPT integrated into the IDE * Google Docs have right UI for non-code text, but they use really dumb model (not Gemini 1.5 Pro). Also won't work for code. So... I wrote a Emacs Lisp function which calls LLM with contents of the buffer to generate text according to…

    2024 · x.com

  9. 9LS

    I kept running into this annoying problem: I’d remember a really useful answer, but not where it was. ChatGPT? Claude? Gemini? No idea. So I’d end up digging through all of them or just rewriting the prompt. Built this to fix that. It’s a Chrome extension that indexes chats locally and lets you search across them all in one place. Once it’s indexed, search is basically instant. Still early. UIs change and break things sometimes, so it’s a bit fragile in places. Curious if other people have the same issue or if it’s just me jumping between tools too much.

    Apr 2026 · chromewebstore.google.com

  10. 10IB

    hey hn, I built an open-source Perplexity clone that can run local LLMs and cloud LLMs. It's fully self-hostable through Docker and uses ollama to support local LLMs. The demo video in the repository shows me running it locally with llama3 on my M1 Macbook Pro. I'm open to any suggestions or feedback, thanks!

    2024 · github.com

  11. 11LO

    Hi HN! I built LLM OneStop (https://www.llmonestop.com), a unified interface for accessing multiple AI language models in one place. The main problem I wanted to solve: constantly switching between different AI platforms, managing multiple subscriptions, and losing conversation context when comparing outputs across models. Key features: Switch between GPT-4, Claude, Gemini, Llama, and other models mid-conversation Compare responses side-by-side Single interface instead of juggling multiple tabs/subscriptions Free tier available to try it out (no credit card needed) "Connect"…

    Nov 2025 · llmonestop.com

  12. 12AO

    I've built an airgapped Retrieval-Augmented Generation (RAG) system for question-answering on documents, running entirely offline with local inference. Using Llama 3, Mistral, and Gemini, this setup allows secure, private NLP on your own machine. Perfect for researchers, data scientists, and developers who need to process sensitive data without cloud dependencies. Built with Llama C++, LangChain, and Streamlit, it supports quantized models and provides a sleek UI for document processing. Check it out, contribute, or suggest new features!

    2024 · github.com

  13. 13CF

    Over this past month I had the idea to build a 100% open-source MIT-licensed tool to simplify sharing code with LLMs, without the vendor lock-in you get from most SDKs. Right now, it’s way too hard to export your data or work freely with models like o1 PRO or Grok 3, especially since they don’t even have API access. So I built OpenRepoPrompt, an open-source tool from wildberry-source that serializes files and folders into XML for LLMs. I coded/designed from 12PM -> 11PM on Saturday and 8AM -> 11PM on Sunday. There are still tons of features missing (I'm working on better file filtering…

    2025 · github.com

  14. 14TO

    I built TraceAIO, an open-source tool that prompts LLMs on your behalf and tells you whether ChatGPT, Perplexity, and Gemini mention your brand — and which competitors and sources show up instead. Yeah, this category smells a bit like a grift, same as early SEO. And I think over time it will become just SEO again, and become about good content. The tool just helps you monitor over time. It queries the browser products through real browser sessions, not APIs, runs on Docker, with an MCP server so you can query your own data through an LLM. No business model, Apache 2.0, self hosted. If you…

    Jun 2026 · traceaio.org

  15. 15

    private, tech, llm, ai, web, webgpu, offline, local, webasm

    Aug 2026

  16. 16CO

    We have been using GPT to write code since playground days. This UI avoids logins, gpt-4 throttling and is also cheaper to use than ChatGPT Premium. We also have various features to minimize costs and speed up iteration. Furthermore html & mermaid previews are a taste of the kind of features help-yourself opensource model enables vs official UI. For backstory see our blog posts: https://blog.humphd.org/chatcraft-org/ https://taras.glek.net/post/chatcraft.org-opensourcechatgpt-...

    2023 · chatcraft.org

  17. 17CW

    Chat with multiple AI models once and compare the results to pick the best one. This should help you with your research as different AI model can give you different answers and some might be better than others.

    2025 · instaask.ai

  18. 18LT

    Introducing Lailaims: An open source client-side web app that lets you test multiple LLM providers (GPT-4, Claude, Gemini, Mistral, DeepSeek) side-by-side in one interface. Your data stays private - everything runs locally in your browser! Video example: https://vimeo.com/1084976999/8687b63f85

    2025 · lailaims.pages.dev

  19. 19OS

    800M people use ChatGPT and Claude weekly. Right now they get text responses. Soon they'll get real interfaces: product cards, blog posts, booking flows, payment screens rendered directly in the conversation. We built an open-source component library for this. Install any block with one command and customize it to your brand. If you're building MCP servers or experimenting with AI-native apps, this might save you time. Are you building apps for AI assistants? Would love to hear what's missing in your workflow.

    Dec 2025 · ui.manifest.build

  20. 20C1

    I made a ChatGPT client that is contained in 1 HTML file. Would love to know what you guys think. The idea is to have something very simple to use that people can just download and use. If they want, tweak as per their liking. (You will need an OpenAI API to use it). - It doesn't call or use any 3rd party services (except jQuery and Bootstrap loaded from a CDN). Use your own API key, call the OpenAI API directly in its normal functioning ( there is a chatbot feature to pull top HN headlines which calls the HN API ). - Its just an HTML file, so you can run it from anywhere. Repo:…

    2023 · github.com

  21. 21CH

    Hey HN, As a heavy ChatGPT user, I often want to explore my chat history, look for things I've already asked, keep favorite chats, and much more. ChatGPT doesn't even offer search capability (except in mobile version). So I decided to build one myself. It runs locally, so no sensitive data leaks. You only need to export your ChatGPT conversations, and put it in the `data` folder. Optionally setup OpenAI API key and it will create embeddings for semantic search. *Important* - it's not a desktop app (at least, not yet) - it's a python code with a browser interface that I've only tested on…

    2023 · github.com

  22. 22II

    Ask Steve unlocks the power of LLMs like ChatGPT and Gemini in every web page. It's like Github Copilot but for everyday work in the browser. - Create reusable prompts (“Skills”) that can be used on any web page or text selection. Over 100 are included. - Right click on any page or text-selection to run a Skill on it - Chat with any page to quickly get summaries, extract key information or run a Skill on it - Get help writing, rewriting and editing in any text field with Skills for content creation & editing - Add AI buttons to any web page that enable you to trigger a Skill with 1-click.…

    2024 · chromewebstore.google.com

  23. 23RA

    Hi there, looking for feedback on my new project "Featherless.AI" The idea is to allow users to run all the models on hugging face instantly. Via the OpenAI API compatible endpoint. Why? Because its a real chore to download models and spin up GPUs, especially if you want to test multiple models. Not to mention GPUs cost multiple dollars an hour to rent. And if we want more people to use open source AI, we got to make it easier for them to try and play with all of them. So what if instead of spinning up dedicated GPUs per model (which is what every provider is doing) We can startup a LLM…

    2024 · featherless.ai

  24. 24CO

    ChatMyFiles is an open-source alternative to ChatPDF: you upload any PDF or Microsoft Office document and ask questions about it. Unlike other "chat with your documents" solutions, ChatMyFiles can be self hosted using a one-click deploy script that uses Terraform to deploy a - Vector database - Server - (Optional) Open-source LLM such as Falcon, Llama, or GPT4All to your virtual private cloud (VPC). We used Langchain to interface with open source LLMs and Ragstack to deploy to Google Cloud: https://github.com/psychic-api/rag-stack

    2023 · chatmyfiles.com

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