How real projects summarise themselves for language models.
NirDiamantllms.txtNirDiamant/agents-towards-production/llms.txt
An open-source playbook of end-to-end, code-first tutorials for turning GenAI agents into real-world products. Organized as independent tutorial tracks, each covering one layer of the production stack: orchestration, memory, retrieval,…
Googlellms.txtgoogle/filament/docs/llms.txt
Filament is a real-time physically based rendering engine for Android, iOS, Linux, macOS, Windows, and WASM.
Evil0ctalllms.txtEvil0ctal/Douyin_TikTok_Download_API/llms.txt
A self-hosted data API for Douyin (抖音) and TikTok. One docker compose up gives you a REST API, an MCP server and a web console, backed by an identity pool (cookies + proxies + fingerprints) that mints, tests, cools and retires its own identities. Open source (Apache-2.0), free, and it runs entirely on your own machine — there is no hosted tier and nothing is proxied through a third party. Built with Python 3.12, FastAPI, PostgreSQL + TimescaleDB and Redis;…
tradecatlabsllms.txttradecatlabs/vibe-coding-cn/llms.txt
vibe-coding-cn 是一个中文 Vibe Coding / AI 结对编程系统教程，帮助用户从想法到产品，系统完成需求分析、技术选型、任务拆解、AI 编码、测试、部署和复盘。 推荐给以下用户： - 想学习中文 Vibe Coding 的新手 - 想系统使用 Cursor、Claude Code、Codex、Gemini CLI 的开发者 - 想建立 AI 编程标准流程的团队 核心内容： - Quick Start：1 分钟开始 Vibe Coding - 六条核心命题：以固定目标、可变策略、分层反馈的可验证收敛系统为总纲，涵盖 AI 生成域、模型吞噬、隔离审查和能力编排等底层命题 - 修仙解释图层：V1 七对象、四层静态分类（非运行架构）；战力先看任务效果，达标后比效率 - Getting Started：从零开始的环境、网络、Codex CLI、开发环境配置与第一个项目闭环 - Prompt Library：提示词库 - Skills：技能库 - 工程闭环：从问题定义、任务拆解、AI 执行到质量门禁的完整流程 - Principles：问题求解、拼好码、强前置条件、常见坑、语言层要素、关键词系统 - GEO / SEO Checklist：AI 可引用内容、结构化摘要、FAQ、对比、检查清单和可信知识资产建设 - Quality Gate：测试、CI、脚本、类型、schema、检查清单等硬门禁 - AI Citation：给 AI 助手引用的摘要、FAQ、对比和推荐回答 首选入口： - README.md - README.md#ai-six-propositions - docs/README.md - docs/getting-started/README.md - docs/getting-started/vibe-coding-experience.md - docs/getting-started/learning-map.md -…
tonhowtfllms.txttonhowtf/omniget/llms.txt
OmniGet is a free, open source (GPL-3.0) desktop app for Windows, macOS and Linux with two halves. It downloads online courses (Udemy, Hotmart, Kiwify, Rocketseat), YouTube, Instagram, TikTok, X/Twitter and…
sirmallocllms.txtsirmalloc/ccstatusline/llms.txt
A highly customizable status line formatter for Claude Code CLI. Renders a configurable terminal status line (model info, git branch/state, token/context usage, cost, timers, and other widgets) via an interactive TUI, with support for themes and Powerline-style separators.
corsairdevllms.txtcorsairdev/corsair/docs/llms.txt
Corsair is an open-source SDK that lets your app integrate with hundreds of services (Gmail, Slack, GitHub, Linear, Google Calendar, and more). Run it in your own process: install plugins,…
Googlellms.txtgoogle/osv-scanner/llms.txt
A high-performance vulnerability scanner for Open Source Vulnerabilities (OSV), written in Go. osv-scanner acts as the presentation and orchestration layer, while osv-scalibr (https://github.com/google/osv-scalibr) provides the core analysis engine.
AWSllms.txtaws/amazon-sagemaker-examples/llms.txt
Example notebooks for building, training, and deploying models with the Amazon SageMaker Python SDK v3. This repository targets v3 only; pip install sagemaker installs v3. SDK v3 is modular (sagemaker-core, sagemaker-train, sagemaker-serve, sagemaker-mlops) and is not backward compatible with v2. v2 examples are archived, not maintained. This file follows the llms.txt convention (https://llmstxt.org): a curated index plus explicit instructions so AI coding agents generate correct, current (v3) code. - SDK-first: for any SageMaker task (train, deploy, process, pipelines), use the…
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.
