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# Introduction
Large language models (LLMs) have changed how we use artificial intelligence (AI), but trying them often requires paid APIs, cloud servers, or complex setups. Now, you can test and run LLMS in your browser for free. These browser-based tools let you run models locally, compare results, and even create autonomous agents without any backend setup or server costs. Here are five tools to check out whether you want to test a hint, prototype AI features, or just explore how modern LLMs work.
# 1. Webllm
Webllm is an open source engine that runs LLM inside your browser without a server or cloud GPU. It uses WebGPU as a fallback for faster execution or WebAssembly. It supports popular models such as Llama, Mistral, Phi, Gemma, and Kevin, as well as custom Machine Learning Compilation (MLC) models. WebllM works with the OpenAI API for chat completion, streaming, JSON-mode, and function calls. Running everything keeps client-side data private, reduces server costs, and makes it easy to deploy as a static web page. It’s perfect for browser-based chatbots, personal assistants, and embedded AI features.
# 2. Free LLM playground
Free LLM Playground is a web-based sandbox that requires no setup. You can test and compare models from OpenAI, Entropic, Google/Gemini, and other open weight models. It allows 50 free chats per day and lets you tweak parameters like temperature, instructions and fines. Templates are supported with variables, and you can share or export chats via public URLs or code snippets. Inputs are private by default. This tool is ideal for quick testing, rapid prototyping, or comparing model outputs.
# 3. Browsers
browser is an open source JavaScript library that lets you run LLM in your browser. It uses WebGPU and falls back on WebEnsemble for fast and native rendering. It works with small to medium models and has features like text generation, chat, speech recognition, and text-to-speech. You can install it using npm or yarn And start with a few lines of code. Once the model is loaded, it runs completely on your device, even offline, so it’s good for privacy-oriented apps and quick AI prototyping.
# 4. genspark.ai
genspark.ai is a search and knowledge engine driven by multiple AI agents. It turns queries into generated web pages called Spark pages, instead of displaying normal search results. Agents crawl trusted sources, gather information and summarize it in real time. Users can ask AI Copilot follow-up questions or get more insights. It delivers clean, spam-free, ad-free content and saves time as you don’t need to browse manually. It is a useful tool for research, learning and getting relevant information quickly.
# 5. Agentium
Agentium is an open-source, browser-based tool for running autonomous AI agents. It runs native LLM approximations so that agents can perform tasks, actions, and iterations in the browser. This agent borrows ideas from frameworks like GPT but uses a local model instead of a cloud call for privacy and decentralization. The platform runs entirely client-side and is licensed under the General Public License (GPL). Although it’s a concept concept and not ready for production, Agentium is great for prototyping, researching, and testing autonomous agents in the browser.
# wrap up
These tools make it easy to experiment with LLM in your browser. You can test indicators, build prototypes, or run autonomous agents without any setup or cost. They provide a quick and practical way to explore AI models and see what they can do.
Kanwal Mehreen is a machine learning engineer and technical writer with a deep passion for data science and the intersection of AI with medicine. He co-authored the eBook “Maximizing Productivity with ChatGPT.” As a 2022 Google Generation Scholar for APAC, she champions diversity and academic excellence. He has also been recognized as a Teradata Diversity in Tech Scholar, a MITACS Globallink Research Scholar, and a Harvard Wicked Scholar. Kanwal is a passionate advocate for change, having founded the Fame Code to empower women in stem fields.