Lokale LLMs
Web LLM
High-performance In-browser LLM Inference Engine
★ 19,2 Tsd. SterneApache-2.0
Anleitung ansehen →WebMCP ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von jasonjmcghee (jasonjmcghee/WebMCP auf GitHub). Es hat 883 Sterne auf GitHub und 54 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 15. Februar 2026 auf GitHub aktualisiert.
Early proposal and implementation for connecting LLMs to web pages.
Understand the original WebMCP idea.
See how the early implementation worked.
Look at how the concept evolved.
Use it as inspiration, not infrastructure.
One of the first WebMCP attempts.
A working sketch of the idea.
About LLMs interacting with pages.
Transparent evolution of the concept.
Free to study and reuse.
Useful for standards archaeology.
Download the source and move into the project folder.
git clone https://github.com/jasonjmcghee/WebMCP.git
cd WebMCPEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandNo, the author points to successor work by others.
Better to follow the current evolution of the idea instead.
MIT licensed — commercial use allowed.
Work continuing under the broader web machine learning community.
It is an honest look at where the web-AI connection idea started.
High-performance In-browser LLM Inference Engine
Typescript/React Library for AI Chat 💬🚀
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
Fast Rust scraper that turns web pages into clean data for LLMs.
Run local LLMs like Llama and DeepSeek right inside your web browser.
A lightweight vLLM implementation built from scratch in about 1,200 readable lines of Python.
Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls WebMCP nicht das Richtige ist.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Verwandte Projekte der Kategorie Lokale LLMs im Katalog, die WebMCP bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Browse and resume your AI coding-agent sessions on macOS.
Local security auditor for AI API relays — catches injection and swaps.
A talking LLM voice assistant that runs fully offline on your computer.
Desktop AI agent platform with one-click models and offline-first RAG.
One-command installer for a full self-hosted AI stack on your server.
Local-first desktop workspace designed for running.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.