Free Local A.I Tools
WebGPU based LLMs
Free Local A.I Tools launched on March 30, 2025 with 11 votes, #2,427 of 7,215 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
WebGPU and browser based LLMs
Does a similar job
all alternatives →- WEWebGPU enables local LLM in the browser – demo site with AI chat2025 · andreinwald.github.io · ▲145
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…
BrowserAI – Run LLMs directly in browser using WebGPU (open source)2025 · github.com · ▲85Check 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

- TLTiny LLMs – Browser-based private AI models for a wide array of tasks2023 · tinyllms.vercel.app · ▲142

Open-Source Alternative to OpenAI Platform, for Local Models2025 · github.com · ▲93Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
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