Local LLM
vLLM
A high-throughput and memory-efficient inference and serving engine for LLMs
★ 93.1k starsApache-2.0
View guide →Fast Rust scraper that turns web pages into clean data for LLMs.
webclaw is an open-source local llm project by 0xMassi (0xMassi/webclaw on GitHub). It has 2,366 GitHub stars and 235 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 23 September 2026.
Get the Rust-built binary or build from source.
Give it a URL to scrape or crawl.
Get clean markdown or structured data back.
Pipe results to agents via CLI, API, or MCP.
Fast extraction with low resource use.
Runs on your machine, no cloud required.
Clean page conversion for LLMs.
Follow links across whole sites.
Integrate extraction into any stack.
Give AI agents direct scraping tools.
Download the source and move into the project folder.
git clone https://github.com/0xMassi/webclaw.git
cd webclawEvery 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 commandIt is local-first and open source, so no per-page API fees.
Commercial use is allowed, but network use of modified versions requires sharing source.
Check the docs for rendering capabilities.
Yes, agents can call it through the Model Context Protocol.
Only if building from source; binaries avoid that.
A high-throughput and memory-efficient inference and serving engine for LLMs
High-performance In-browser LLM Inference Engine
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots
Early proposal and implementation for connecting LLMs to web pages.
Run local LLMs like Llama and DeepSeek right inside your web browser.
Alibaba's lightweight, blazing-fast inference engine for on-device LLMs and edge AI.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if webclaw is not the right fit.
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
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Free and open — grab the source, star the repo, and start creating.