Open Source Projects
Discover open-source projects, tools, and libraries implementing the llms.txt standard. Add the llms-txt or llmstxt topic to your GitHub repository to be listed.
Precision documentation from OpenAPI, MCP, Doxygen, and Markdown guides. Static HTML you own.
All Projects (17)
onvoyage-ai/gtm-engineer-skills
Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores — 16 foundational checks, 6 intelligence dimensions, framework-specific fixes
thedaviddias/llms-txt-hub
🤖 The largest directory for AI-ready documentation and tools implementing the proposed llms.txt standard
jdevalk/specification.website
Website specification — HTML, accessibility, security, SEO, agent-readiness. Platform-agnostic, sourced, MIT.
beihaili/Get-Started-with-Web3
Open-source bilingual AI-native Web3 curriculum: wallets, Bitcoin, Ethereum, DeFi, L2, DAO, smart accounts, llms.txt and MCP
Auriti-Labs/geo-optimizer-skill
Open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit — audit, optimize & track whether ChatGPT, Perplexity, Gemini & Google AI Overviews cite your site. AI SEO / LLM SEO. CLI, Python, MCP, Astro.
Lolner95/AIGX
Open, MIT context format for AI coding agents: centralized .aigx/ rules + a per-file boundary index that targets the right rules, forbidden imports, and gotchas to each file. The only context format validated in a controlled benchmark. Tool-agnostic; nothing injected into your source.
Synaptiv-AI/awesome-n8n
Welcome to Awesome n8n – your new favorite destination for everything related to advanced n8n workflows, templates, and resources. After a monumental effort and countless hours of work, we have successfully created a clean, comprehensive, and properly formatted llms.txt file for the n8n-docs containing the complete official n8n documentation.
nuxt-content/nuxt-llms
Automatically generates /llms.txt markdown documentation for your Nuxt application.
JonusNattapong/Notebook-Git-Colab
เป็นการรวบรวมแหล่งข้อมูลสำหรับการเรียนรู้เกี่ยวกับปัญญาประดิษฐ์ (Artificial Intelligence - AI) และโมเดลภาษาขนาดใหญ่ (Large Language Models - LLMs) รวมถึงหัวข้อพื้นฐาน, สมุดบันทึกที่แนะนำ, คอร์สออนไลน์, เครื่องมือ, ชุดข้อมูล และเทคนิคขั้นสูงสำหรับการพัฒนาและปรับแต่งโมเดล AI
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