LLM local
vLLM
A high-throughput and memory-efficient inference and serving engine for LLMs
★ 93,1 mil estrelasApache-2.0
Ver o guia →webclaw é um projeto de LLM local de código aberto de 0xMassi (0xMassi/webclaw no GitHub). Tem 2.366 estrelas no GitHub e 235 forks, é publicado sob a licença AGPL-3.0 e foi atualizado pela última vez no GitHub em 23 de setembro de 2026.
Fast Rust scraper that turns web pages into clean data for LLMs.
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.
Os outros projetos de LLM local com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se webclaw não for o ideal para você.
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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Let any LLM actually watch a video — frames plus transcript, run locally.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.