LibreAI / Local LLM / ChatLLM-Web
// local-llm ยท Ryan-yang125/ChatLLM-Web

ChatLLM-Web

Private AI chat and model studio that runs in your browser via WebGPU.

๐Ÿ’Ž Hidden gemโ˜… 636 starsโ‘‚ 48 forksMITupdated 2026-08
โ–ฆ visual โ€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

ChatLLM-Web is an open-source local llm project by Ryan-yang125 (Ryan-yang125/ChatLLM-Web on GitHub). It has 636 GitHub stars and 48 forks, is released under the MIT license, and was last updated on GitHub on 12 August 2026.

GitHub stars
636
Forks
48
License
MIT
Last updated on GitHub
12 August 2026
Category
Local LLM
Listing
Hidden gem โ€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clone the repository

    Download the source and enter the folder.

  2. Install dependencies

    Pull the Node packages for the Vite app.

  3. Start the studio

    Launch the dev server in your browser.

  4. Load a model

    Pick a WebLLM model and chat privately.

// features

Why people love it

In-browser inference

Models run via WebGPU in your tab.

Private by design

No server, no API key, no uploads.

Agent workspace

Multi-step agent tasks in the browser.

PWA installable

Installs like a native app.

WebLLM powered

Proven browser-LLM runtime.

636 stars

Strong community validation.

Advertisement
// run it

Run it yourself

  1. Step 1 โ€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/Ryan-yang125/ChatLLM-Web.git
    cd ChatLLM-Web
  2. Step 2 โ€” Install dependencies

    Pull the Node packages it needs.

    npm install
  3. Step 3 โ€” Launch the studio

    Start the dev server and open it.

    npm run dev
// use cases

What you can build

Advertisement
// faq

Questions, answered

Who maintains ChatLLM-Web?

It is an open-source project at Ryan-yang125/ChatLLM-Web with 48 forks.

Is it free for commercial use?

Yes. It is MIT licensed.

Do I need a GPU?

WebGPU in a modern browser handles the inference โ€” check the README for requirements.

Does anything leave my browser?

No. Models download to and run inside your browser tab.

Is there a hosted demo?

Yes. The official site link runs a live deployment.

// keep exploring

Similar tools

Local LLM

Ollama

The simplest way to run open language models on your own machine.

โ˜… 182.1k starsMIT
View guide โ†’
AI Agents

LocalAI

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

โ˜… 49.4k starsMIT
View guide โ†’
Local LLM

llamafile

Distribute and run LLMs with a single file.

โ˜… 26.2k starsUnknown
View guide โ†’
Local LLM

BrowserAI

Run local LLMs like Llama and DeepSeek right inside your web browser.

โ˜… 1.5k starsMIT
View guide โ†’
Local LLM

atomic-agent

Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.

โ˜… 2.7k starsMIT
View guide โ†’
Local LLM

Web LLM

High-performance In-browser LLM Inference Engine

โ˜… 19.2k starsApache-2.0
View guide โ†’
// alternatives

Alternatives in Local LLM

The most-starred other Local LLM projects in the LibreAI catalogue โ€” the realistic shortlist if ChatLLM-Web is not the right fit.

Get ChatLLM-Web

Free and open โ€” grab the source, star the repo, and start creating.