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Products that do what LLM from URL –– A free AI chat completion service directly from URL does
LLM from URL —— A free AI chat completion service directly from URL Usage: In the address bar of any web browser, type your question after https://818233.xyz/ and hit Enter to get the instant answer. You know the best part of this? Whitespace in the url is supported in most web browsers! You can also use curl or Wget to retrieve the appended url by replacing any whitespace with a '+' character. If you need to have an actual '+' character in your question, just use '++'. Example: The url "https://818233.xyz/hi there" in any web browser will return the same answer…
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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
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Browser LLM demo working on JavaScript and WebGPU. WebGPU is already supported in Chrome, Safari, Firefox, iOS (v26) and Android. Demo, similar to ChatGPT https://andreinwald.github.io/browser-llm/ Code https://github.com/andreinwald/browser-llm - No need to use your OPENAI_API_KEY - its local model that runs on your device - No network requests to any API - No need to install any program - No need to download files on your device (model is cached in browser) - Site will ask before downloading large files (llm model) to browser cache - Hosted on Github…
2025 · andreinwald.github.io
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Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…
2024 · github.com
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I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
2024 · embedding.io
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I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
Nov 2025 · github.com
- 6IB
We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
2025 · blog.kuzudb.com
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Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface
2025 · github.com
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Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime. It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format. I tried to make it safe and predictable: no use of the system /tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras/providers/ folder. Example: echo…
Jun 2026 · github.com
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I built this browser extension to solve a daily frustration: copying documentation from websites to feed into AI coding assistants like Cursor, Windsurf, or ChatGPT, only to get a mess of ads, popups, and navigation junk mixed in with the actual content. LLMFeeder uses Mozilla's Readability.js (same tech as Firefox Reader Mode) to extract just the main article content, converts it to clean markdown with Turndown.js, and copies it to your clipboard with a single keyboard shortcut (Alt+Shift+M or ⌥ ⇧ M). No clicking through popups, no selecting around ads, no fighting with modern web clutter.…
2025 · github.com
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Author here. I wanted to keep my conversation with #Gemini about code handy while discussing something creative with #ChatGPT and using #DeepSeek in another window. I think it's a waste to have Electron apps and so wanted to chat with LLMs on my own terms. When I discovered the llm CLI tool I really wanted to have convenient and pretty looking access to my conversations, and so I wrote gtk-llm-chat - a plugin for llm that provides an applet and a simple window to interact with LLM models. Make sure you've configure llm first (https://llm.datasette.io/en/stable/) I'd…
2025 · github.com
- 15AW
Lately, I've been tinkering with llama.cpp and the ollama server. The speed of these tools caught my attention, even on my modest 4060 setup. I was quite impressed with the generation quality of models like Mistral. But I was a bit unhappy at the same time because whenever I explore a topic, there is a lot of typing involved when using the chat interface. So I needed a tool to not only give a response but also generate a set of "suggestions" which can be explored further just by clicking. My experience in front-end development is limited. Nonetheless, I tinkered together a small web app to…
2023 · github.com
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Hello HN! I wanted to share a side project of mine: a fully standalone app that uses a local LLM (specifically Mistral 7B) for document interaction using RAG. It supports a wide variety of document types and is designed to run right after installation. There are still quite a few bugs to iron out and many features I'm excited to add. Considering this is my first time working on such a project, I'm really happy with the progress and am learning a ton! The project is open source, so I please feel free to check out my work and leave any feedback :)
2024 · github.com
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Oct 2025 · amplitude.com
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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
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Hello! I built this to solve a personal problem of where I didn't want to wade down large chains of HackerNews comment threads in order to get the key takeaways from the discussions. I built this Chrome extension, which supports both OpenAI and Ollama(local LLMs) to summarize comments and display the summary within Chrome's sidepanel. It's open source as you can see from the link, feedback appreciated!
2024 · github.com
- 21LC
Hey, folks here is a peek into Jujutsu. We at Poozle are working with hundreds of APIs and it has been always frustrating to 1. Search the API in the documentation or ask ChatGPT 2. Then copy it to the postman and understand/test the API 3. Generate code to integrate into the codebase We thought how about having all of this at one place. We currently fine-tuned LLM on public REST APIs to reduce hallucination and then combined it with ChatGPT and Postman. I look forward to feedback, feature requests and discussions!
2023 · loom.com
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any-llm is a library that provides unified access to multiple LLM providers. switching between providers like OpenAI, Anthropic, Google, Mistral, and even Ollama is just a string change. This demo makes it easy to look at and compare responses from different models. Interesting to see how ChatGPT, Claude, Gemini, and local models each reason through the same problems. Let us know what you think!
2025 · github.com
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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
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Hi! Been working on DialtoneApp, a free domain scanning tool to see how your site does with all the new rules for AI SEO. Also known as AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization) the A can also stand for "Agent"! It's a whole new world out there and we haven't even gotten to agents.json files and the new "b2b" (bot to bot) commerce part. But there are some standards starting to take shape with llms.txt and using things like: on all your html pages to have this other markdown version. We list the top 300 sites in terms of how well they follow all the new rules.…
Apr 2026
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