3GitHub Trending (AI/LLM filtered)·
ScrapeGraphAI: AI-powered Python web scraping library trending on GitHub
ScrapeGraphAI is an open-source Python library that uses AI models to power web scraping workflows, currently trending on GitHub with nearly 29,000 total stars and 44 new stars today. The project represents a tooling approach where LLMs handle the extraction logic rather than hand-written CSS/XPath selectors.
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Crawl4AI: Open-Source LLM-Friendly Web Crawler & Scraper
Crawl4AI is an open-source Python library designed to make web crawling and scraping compatible with LLM pipelines. The project has accumulated over 66,500 GitHub stars with strong daily momentum (+216 today), indicating significant community adoption. It targets the data ingestion layer for AI agents and RAG systems that require structured web content.
Microsoft GraphRAG trending on GitHub
Microsoft's GraphRAG repository, a modular graph-based Retrieval-Augmented Generation system implemented in Python, is trending on GitHub with 34,340 total stars and 33 new stars today. GraphRAG structures knowledge as a graph to improve retrieval quality over flat vector search. The continued traction signals ongoing practitioner interest in graph-augmented retrieval approaches.
Graphify: open-source tool turns codebases into queryable knowledge graphs for AI coding assistants
Graphify is an open-source Python library that converts arbitrary code folders, SQL schemas, scripts, docs, and media into a queryable knowledge graph, designed as a skill layer for AI coding assistants including Claude Code, Cursor, and Gemini CLI. The project has accumulated over 80,000 GitHub stars with strong daily momentum (+885 today), suggesting significant community adoption. It targets the problem of giving AI coding agents structured, cross-artifact context across app code, database schemas, and infrastructure simultaneously.
pydantic/pydantic-ai: AI Agent Framework Trending on GitHub
pydantic-ai is an open-source AI agent framework built by the Pydantic team, applying Pydantic's data validation patterns to AI agent construction. The repository has accumulated 17,238 stars with modest daily momentum (+16 today). It represents a community-level signal of interest in structured, type-safe agent tooling in Python.
Graphify: open-source tool to convert codebases into queryable knowledge graphs for AI coding assistants
Graphify is a Python library that converts arbitrary code folders, SQL schemas, scripts, docs, and media into a queryable knowledge graph, designed to serve as a skill or context layer for AI coding assistants including Claude Code, Codex, Cursor, and Gemini CLI. The project has accumulated 72,438 GitHub stars with 504 added today, indicating strong community traction. It targets the problem of giving AI coding agents unified, structured access to heterogeneous project artifacts across code, schema, and infrastructure.
Maxun: open-source no-code web scraping and AI data extraction platform gains traction on GitHub
Maxun is an open-source TypeScript platform for no-code web scraping, crawling, and AI-assisted data extraction that converts websites into structured APIs. The project has accumulated 16,135 GitHub stars with 88 new stars today, indicating active community interest. It is relevant to the AI/ML corpus as a data pipeline and extraction tooling layer for LLM workflows.
last30days-skill: AI agent skill for multi-source research synthesis
A Python-based AI agent skill on GitHub that queries Reddit, X, YouTube, Hacker News, Polymarket, and the web to research any topic, then synthesizes a grounded summary. The repository has accumulated 27,522 stars with 173 added today, indicating significant community traction. It represents a practical agent tool for multi-source information aggregation.
NVIDIA publishes AI agent skills library on GitHub
NVIDIA has published an open-source Python repository of AI agent skills on GitHub, accumulating 1,645 stars with 199 added in a single day. The repository appears to be a collection of reusable agent capabilities released by NVIDIA. The strong single-day growth suggests notable community interest in NVIDIA's agent tooling efforts.