5 Free Tools to Experiment with LLMs in Your Browser

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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 complicated setups. Now, you can test and run LLMs right 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 if you want to test prompts, prototype AI features, or just explore how modern LLMs work.

# 1. WebLLM

 
WebLLM is an open-source engine that runs LLMs inside your browser without servers or cloud GPUs. It uses WebGPU for fast execution or WebAssembly as a fallback. It supports popular models like Llama, Mistral, Phi, Gemma, and Qwen, plus custom machine learning compilation (MLC) models. WebLLM works with the OpenAI API for chat completions, streaming, JSON-mode, and function calls. Running everything client-side keeps data private, reduces server costs, and makes it easy to deploy as a static web page. It is suited 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, Anthropic, Google/Gemini, and other open-weight models. It allows 50 free chats per day and lets you tweak parameters like temperature, instructions, and penalties. Templates with variables are supported, and you can share or export chats via public URLs or code snippets. Inputs are private by default. This tool is ideal for prompt testing, rapid prototyping, or comparing model outputs.

# 3. BrowserAI

 
BrowserAI is an open-source JavaScript library that lets you run LLMs right in your browser. It uses WebGPU and falls back to WebAssembly to make inference fast and local. 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 fully on your device, even offline, so it is good for privacy-focused apps and quick AI prototyping.

# 4. Genspark.ai

 
Genspark.ai is a search and knowledge engine run by multiple AI agents. It turns queries into generated web pages called Sparkpages, instead of showing normal search results. The agents crawl reliable sources, gather information, and summarize it in real time. Users can ask an AI copilot follow-up questions or get more insights. It gives clean, spam-free, ad-free content and saves time since you do not have to browse manually. It is a useful tool for research, learning, and getting relevant information quickly.

# 5. AgentLLM

 
AgentLLM is an open-source, browser-based tool for running autonomous AI agents. It runs local LLM inference so agents can make tasks, act, and iterate on them right in the browser. It takes ideas from frameworks like AgentGPT but uses local models instead of cloud calls for privacy and decentralization. The platform runs fully client-side and is licensed under the General Public License (GPL). Even though it is a proof-of-concept and not ready for production, AgentLLM is great for prototyping, research, and testing autonomous agents in-browser.

# Wrapping Up

 
These tools make experimenting with LLMs in your browser simple. You can test prompts, build prototypes, or run autonomous agents without any setup or cost. They provide a fast and practical way to explore AI models and see what they can do.
 
 

Kanwal Mehreen is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. She co-authored the ebook “Maximizing Productivity with ChatGPT”. As a Google Generation Scholar 2022 for APAC, she champions diversity and academic excellence. She’s also recognized as a Teradata Diversity in Tech Scholar, Mitacs Globalink Research Scholar, and Harvard WeCode Scholar. Kanwal is an ardent advocate for change, having founded FEMCodes to empower women in STEM fields.