Topics / #ai-search

AI search projects on GitHub

AI-powered search engines and retrieval systems combining web data with language models.

As of , the most-starred AI search projects on GitHub are firecrawl (192.2K stars), Agent-Reach (98.4K stars) and qdrant (35.1K stars). GitHub.Locker tracks 8 AI search repositories with 365.7K stars combined. The fastest-growing on October 16 was xerj, with +1.2K stars in a day.

8Projects
365.7KStars in total
+2.1KStars in a day
Browse in the catalog →github.com/topics/ai-search ↗

Hot right now

Most stars gained in a day · Oct 16

+1.2K

xerj

xerj-org/xerj · ★ 6.9K

XERJ is a local-first search engine that automatically indexes any folder - code, docs, logs, PDFs - so an AI coding agent can pull the exact passage it needs instead of grepping or reading whole files into context, and it speaks the Elasticsearch API so existing clients work against it unchanged.

+513

Agent-Reach

Panniantong/Agent-Reach · ★ 98.4K

Agent Reach is a capability layer that gives an AI agent the ability to actually read and search the internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, RSS, web pages and more — instead of hitting paywalls, 403s or login walls.

+334

firecrawl

firecrawl/firecrawl · ★ 192.2K

Firecrawl turns any website into clean, LLM-ready data by crawling, scraping, and searching the web, delivering markdown, structured JSON, or screenshots that AI agents can consume directly.

+32

Scrapegraph-ai

ScrapeGraphAI/Scrapegraph-ai · ★ 31.8K

ScrapeGraphAI is a Python web scraping library that uses LLMs and direct graph logic to build scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown). You just say which information you want to extract and it does the rest.

The all-time top

8 projects · by stars

  1. #1 · firecrawl/firecrawl

    firecrawl

    Firecrawl turns any website into clean, LLM-ready data by crawling, scraping, and searching the web, delivering markdown, structured JSON, or screenshots that AI agents can consume directly.

    192.2K
  2. #2 · Panniantong/Agent-Reach

    Agent-Reach

    Agent Reach is a capability layer that gives an AI agent the ability to actually read and search the internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, RSS, web pages and more — instead of hitting paywalls, 403s or login walls.

    98.4K
  3. #3 · qdrant/qdrant

    qdrant

    Qdrant is a high-performance vector similarity search engine and vector database written in Rust, built to store, search, and manage 'points' (vectors plus a JSON payload) for AI applications like semantic search, recommendations, and RAG.

    35.1K
  1. 4

    Scrapegraph-ai

    31.8KScrapeGraphAI/Scrapegraph-ai · Python

    ScrapeGraphAI is a Python web scraping library that uses LLMs and direct graph logic to build scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown). You just say which information you want to extract and it does the rest.

  2. 5

    xerj

    6.9Kxerj-org/xerj · Rust

    XERJ is a local-first search engine that automatically indexes any folder - code, docs, logs, PDFs - so an AI coding agent can pull the exact passage it needs instead of grepping or reading whole files into context, and it speaks the Elasticsearch API so existing clients work against it unchanged.

  3. 6

    fire-your-seo-agency

    733leopard627/fire-your-seo-agency · Python

    A Claude Code skill that audits and optimizes a website across five search-visibility channels — SEO, AEO, GEO, LLMO, and Naver's NEO — doing the work a paid 'AI search optimization' agency would charge for.

  4. 7

    geo-score

    324jianruntech/geo-score · Python

    A free command-line scorecard for AI visibility: it reads your site the way answer-engine crawlers do and prints a 0-100 readiness score against a published, versioned rubric — not a black box.

  5. 8

    canonry

    186Canonry/canonry · TypeScript

    Canonry is an open-source, agent-first AEO (AI SEO) operating platform: it tracks your brand's visibility in AI answer engines like ChatGPT, Claude, Gemini and Perplexity, investigates changes across search and traffic, and measures progress after you or your agent acts. It's self-hosted, with a web UI plus CLI, MCP and REST API.

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