@CryptoTied: Holy cow! An LLM-optimized open-source crawler goes viral — Crawl4AI is an open-source LLM-friendly Web Crawler & Scraper with 72k+ stars on GitHub. It converts web content into clean, structured Markdown...

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open-source web-crawler llm rag data-pipeline markdown

Summary

Crawl4AI is an LLM-optimized open-source crawler that converts web content into clean, structured Markdown. It supports intelligent content filtering, LLM-driven extraction, browser automation, and is ideal for RAG and AI Agent scenarios.

Holy cow! An LLM-optimized open-source crawler goes viral Crawl4AI is an open-source LLM-friendly Web Crawler & Scraper, already with 72k+ stars on GitHub. It converts web content into clean, structured Markdown, specifically designed for RAG, AI Agents, and data pipelines, significantly reducing noise while preserving semantic structure. Core capabilities: → Intelligent content filtering (Pruning, BM25, etc.), automatically removing irrelevant elements → LLM-driven structured extraction (JSON schema) → Playwright browser automation, supporting JS rendering, lazy loading, infinite scroll, iframes, etc. → Built-in caching, metadata extraction, link analysis → CLI, Python API, and Docker deployment (with monitoring dashboard) For those who need to scrape web content at scale and feed it to large models for knowledge bases, Agent tool calls, or building vertical data pipelines, this tool is highly practical and has an active community.
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Whoa! An open-source crawler optimized for LLMs is trending

Crawl4AI is an open-source LLM-friendly Web Crawler & Scraper, with 72k+ stars on GitHub.

It converts web content into clean, structured Markdown, designed for RAG, AI Agent, and data pipelines, significantly reducing noise while preserving semantic structure.

Core capabilities:

→ Intelligent content filtering (Pruning / BM25 strategies), automatically removes irrelevant elements → Supports LLM-driven structured extraction (JSON schema) → Playwright browser automation, supports JS rendering, lazy loading, infinite scroll, iframes, etc. → Built-in caching, metadata extraction, link analysis → Provides CLI, Python API, and Docker deployment (with monitoring dashboard)

For those who need to crawl large-scale web pages and feed them to large models for knowledge bases, agent tool calls, or building vertical data pipelines, this tool is very practical and has an active community.

0xCrypto Tied (@CryptoTied): 🚨Brothers! A pure C engine running GLM-5.2 (744B) on a 25GB RAM machine

Colibri is an extremely optimized pure C inference engine that can run GLM-5.2 (744B parameter MoE) on ordinary consumer-grade machines (~25GB RAM).

Core principle:

→Only the active dense part (~17B parameters) stays in memory (~9.9GB after int4 compression) →20,000+ routed experts

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@IndieDevHailey: Crawl4AI: A 70,000-star open-source tool that turns web pages into clean Markdown ready for LLMs! Say goodbye to paid crawlers! Zero API Key, structured data in seconds, designed for RAG, Agents, and data pipelines. Super clean output: intelligent denoising, tables/code/quotes fully preserved, directly feedable to LLMs. Really fast: asynchronous browser pool + caching + adaptive crawling, deep mining also stable. Full control: proxies, sessions, JS execution, stealth anti-blocking, play as you like. Zero barrier: one-click CLI, Docker deployment, supports any LLM to extract structured data. Free and no barrier: 70k+ stars on GitHub, ready for production.

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